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width=3D"48" height=3D"49" alt=3D"Interfaz de usuario gr=C3=A1fica, Aplicac= i=C3=B3n Descripci=C3=B3n generada autom=C3=A1ticamente con confia= nza media" style=3D"margin-top:88pt; margin-left:403.5pt; position:absolute= " />Microenterprise resilience in Loja - Ecuador (2020-2024): Key factor to su= rvive crises Jenny Marisol Quevedo Rivera., & Glen Freddy Robayo Cab= rera <table style=3D"width:395.55pt; margin-botto= m:0pt; padding:0pt; border-collapse:collapse"><tr><td style=3D"width:3.25pt= ; padding:0pt 5.4pt; vertical-align:top">1</td><td style=3D"width:171.95pt; padding= :0pt 5.4pt; vertical-align:top">Jenny Marisol Quevedo R= ivera </td><td style=3D"width:10.5pt; padding:0pt 5.4pt; vertica= l-align:top"><img src=3D"data:image/png;base64,iVBOR= w0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAO= xAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oG= gA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1iQ0= 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5.4pt; vertical-align:top">Glen Freddy Robayo Cabrera</td><td style=3D"width:10.5pt= ; padding:0pt 5.4pt; vertical-align:top"><img src=3D= "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNC= SVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNz= bJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhb= a0URPzsPQmuY9zzj1nLwcnuU1iQ0f+mzXZe///Wv/aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjm= ZCGjCVhcPHR3q8XrsaVNUITu/KSlu7LFeSpNNZ+57RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU= /Hy8/0W/aA/Xq43r1P3nOCNIFsW2XLleTd648Z/863v3nkjWCL59dp/fWSsfzOXNkShKacvfgnM= RlXjqqqIrwr5vkihyhxbT+K2ne082AAzADZXyPj+wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvd= daJfdwM9HwqYFSa0GO1SrpfucUVUXEZCQcqQtZ0VEU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0e= xjKgGrGcjTo2/oKS9EUZ2aPcf/Oo1iTI9UGqFJrzDF5+Sv+Wvg+y+IEVXaGibsbOO5hGBSkbUUQ= dRT9zaQuBhE6Ct2MT7/D9OIIVnw6Ct3csfk52oNtTMwcBbE0YteeC7we4LinSI9Z03dBNUVxTdu= 1eI7FcBIjHvPVU1Tjv7nn5sNMXv6WSjyFiIg17AAwqpRW9fqayNkiM0tjqDrag67mDCi0ARiB6g= 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style=3D"width:370.7pt;= padding:0pt 5.4pt; vertical-align:top">Universidad Bol= ivariana de Ecuador (UBE), Dur=C3=A1n, Ecuador. Universidad de Valencia, Valencia, Espa=C3=B1a.Universidad CienFuegos, Cienfuegos, Cuba. <a href=3D"mailto:gfrobayo@ube.edu.ec" style=3D"text-deco= ration:none">gfrobayo@ube.edu.ec</a> </td></tr><tr style=3D"h= eight:0pt"><td style=3D"width:14.05pt"></td><td style=3D"width:182.75pt"></= td><td style=3D"width:21.3pt"></td><td style=3D"width:177.15pt"></td><td st= yle=3D"width:0.3pt"></td></tr></table> <table style=3D"width:436.35pt;= margin-left:0.25pt; margin-bottom:0pt; padding:0pt; border-collapse:collap= se"><tr><td colspan=3D"3" style=3D"width:156.4pt; padding:0pt 5.4pt; vertic= al-align:top"><a id=3D"_Hlk92186133">&#= xa0;</a>&#= xa0;</td><td colspan=3D"2" style=3D"width:258.35pt; border-top:0= .75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Art=C3=ADculo de I= nvestigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gica<spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">Enviado= : Revisado: Aceptado: = Pub= licado:DOI: <a hre= f=3D"https://doi.org/10.33262/cienciadigital.v9il.3282" style=3D"text-decor= ation:none">https://doi.org/10.33262/cienciadigital.v9il</= span>.328= 2</a> </p= ></td></tr><tr style=3D"height:6.55pt"><td colspan=3D"3" style=3D"width:156= .4pt; padding:0pt 5.4pt; vertical-align:top"> <= /td><td colspan=3D"2" style=3D"width:258.35pt; border-bottom:0.75pt solid #= 000000; padding:0pt 5.4pt; vertical-align:top"> </td></tr><tr><td style=3D"width:37.8pt; padding:0p= t 5.4pt; vertical-align:top"> C=C3=ADtese: </td><td style=3D"width:1.55= pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan= =3D"2" style=3D"width:358.55pt; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top"> </td><td style=3D"border-top:0.75pt solid #0000= 00; padding:0pt; vertical-align:top"></td></tr><tr style=3D"height:0pt"><td= style=3D"width:48.6pt"></td><td style=3D"width:12.35pt"></td><td style=3D"= width:106.25pt"></td><td style=3D"width:263.1pt"></td><td style=3D"width:6.= 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40" alt=3D"" /> </= p><table style=3D"width:436.35pt; margin-left:0.25pt; margin-bottom:0pt; pa= dding:0pt; border-collapse:collapse"><tr><td style=3D"width:74pt; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:top">Palabras claves: Crisis, desempe=C3=B1o, microempresa, resiliencia, supervivencia.= </td><td co= lspan=3D"2" style=3D"width:4.15pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"> </td><td style=3D"width:321.8pt; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:0pt 5.4pt; vertical-align:top">Resumen: = <sp= an style=3D"font-weight:bold">Introducci=C3=B3n: = Las consecuencias ocasionadas por el virus SARS-CoV-2, l= a guerra en Ucrania, los altos =C3=ADndices de inseguridad y los prolongado= s cortes de energ=C3=ADa provoc=C3=B3 efectos negativos en la econom=C3=ADa= de las empresas ecuatorianas. Obje= tivo: Analizar la resiliencia organizacional como factor clave= para sobrevivir a las crisis <a id=3D"_Hlk191837663">en las m= icroempresas de la ciudad de Loja - Ecuador (2020-2024). </a>Metodolog=C3=ADa: Se utiliz=C3=B3 un= enfoque descriptivo, cuantitativo y transversal, <a id=3D"_Hlk19183= 8959">en el cual participaron 34 propietarios de microempresas= </a>, para medir la capacidad de resiliencia se dise=C3=B1=C3=B3 un c= uestionario para expertos y se aplic=C3=B3 W de Kendall para evaluar el gra= do de concordancia, lo que permite comprender las dificultades y desarrollar es= trategias efectivas para la superaci=C3=B3n de la crisis. Resultados: Los hallazgos revelan una c= lara correlaci=C3=B3n entre la falta de recursos financieros, energ=C3=A9ti= cos, la ausencia de planes de contingencia, la insuficiente capacitaci=C3= =B3n del personal, y la baja adaptabilidad de las microempresas. Concretame= nte, los resultados muestran que estas deficiencias limitan la capacidad de= las empresas para responder eficazmente a las crisis, poniendo en riesgo s= u supervivencia. Conclusi=C3=B3n:</= span> Se concluy=C3=B3 que existe la necesidad urgente de implementar= estrategias para fortalecer la resiliencia organizacional en las microempr= esas, que incluye la capacidad de financiamiento, la diversificaci=C3=B3n d= e fuentes de energ=C3=ADa, el desarrollo de planes de contingencia s=C3=B3l= idos y la inversi=C3=B3n en programas de capacitaci=C3=B3n continua. </span= >=C3=81rea de estudio general:<span= > Administraci=C3=B3n, =C3=81rea de= estudio espec=C3=ADfica: Administraci=C3=B3n y Direcci=C3=B3n= de empresas. Tipo de estudio:</span= > Art=C3=ADculos originales</td></tr><tr><td= colspan=3D"2" style=3D"width:77.2pt; border-top:0.75pt solid #000000; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Keywords: Crisis, performance, microenterprise, resilience, survival.= </td><td style=3D"width:0.95pt; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"= > </td><td style=3D"width:3= 21.8pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000= ; padding:0pt 5.4pt; vertical-align:top">AbstractIntroduction:</sp= an> The consequences caused by the SARS-CoV-= 2 virus, the war in Ukraine, high rates of insecurity and prolonged power o= utages caused negative effects on the economy of Ecuadorian companies. </sp= an>Objectiv= e: To analyze organiza= tional resilience as a key factor for surviving crises in microenterprises = in the city of Loja - Ecuador (2020-2024). Methodology: A descriptive, quantitative and cross-section= al approach was used, in which 34 microenterprise owners participated. To m= easure resilience capacity, an expert questionnaire was designed and Kendal= l's W was applied to evaluate the degree of agreement, which allows underst= anding the difficulties and developing effective strategies to overcome the= crisis. Results: The find= ings reveal a clear correlation between the lack of financial and energy re= sources, the absence of contingency plans, insufficient staff training, and= the low adaptability of microenterprises. Specifically, the results show t= hat these deficiencies limit the capacity of the enterprises to respond eff= ectively to crises, putting their survival at risk. Conclusion: It was concluded that there is an urg= ent need to implement strategies to strengthen organizational resilience in= microenterprises, including financing capacity, diversification of energy = sources, development of sound contingency plans, and investment in continuo= us training programs. General area of study: Management. Specific area of study: Business Administration and Management. </span= >Type of st= udy: Original articles= </td></tr><tr style=3D"height:0pt"><td style= =3D"width:87.6pt"></td><td style=3D"width:3.2pt"></td><td style=3D"width:11= .8pt"></td><td style=3D"width:333.75pt"></td></tr></table>1. Introducci=C3=B3n</= span>= La pandemia ocasionada por el= virus SARS-CoV-2 declarada por la Organizaci=C3=B3n Mundial de la Salud en= 2020 y la guerra en Ucrania que se intensific=C3=B3 en 2022, han tenido un= a repercusi=C3=B3n en la econom=C3=ADa de Am=C3=A9rica Latina, generando re= siliencia en las organizaciones para sobrevivir en el mercado. Seg=C3=BAn <= /span>Duchek (2020) la re= siliencia organizacional es una capacidad esencial que ayuda a las empresas= a fomentar la innovaci=C3=B3n y adaptarse r=C3=A1pidamente a los cambios, = proporcionando una ventaja competitiva sostenible. Sin embargo, se puede ev= idenciar que no todas las organizaciones pueden adaptarse y superar estos e= ventos, en esta perspectiva diario el Tiempo (Pachon, 2020) menciona algunas empresas como Hertz, Jcpenney, Cir= que Du Soleil, Aerom=C3=A9xico, entre otras que no pudieron superar estas a= dversidades de la pandemia y en 2020 se declararon en bancarrota. Para </sp= an>= Pino & Torralbas (2024) la resiliencia es fundamental para la gesti=C3=B3n empresarial, minim= iza las perdidas, mejora la competitividad y el compromiso con los colabora= dores que es determinante para adaptarse a los cambios. Ante esta situaci= =C3=B3n, las organizaciones se ven obligadas a desarrollar mayor resilienci= a y adaptar sus operaciones seg=C3=BAn la demanda de los clientes.</= p>Con referencia a la guerra de Ucrani= a-Rusia en la regi=C3=B3n (Am=C3=A9rica Latina), Zimmering (2022) se=C3=B1ala que la guerra h= a tenido un impacto negativo en las econom=C3=ADas de Am=C3=A9rica Latina, = particularmente en la agricultura, debido a la interrupci=C3=B3n de las cad= enas de suministro y al aumento de los precios de los alimentos. En general= , las exportaciones en los pa=C3=ADses de Latinoam=C3=A9rica se vieron afec= tadas debido al incremento de costos en el transporte, as=C3=AD como baja d= emanda de productos, generando perdidas en la rentabilidad y puestos de tra= bajo.En la misma l=C3=ADnea= C=C3=A1rdenas & Hern=C3=A1ndez (2022) destacan el incremento de 2% en las tasas de infla= ci=C3=B3n del 2022 en comparaci=C3=B3n al 2021, con repercusiones econ=C3= =B3micas y el impacto negativo en la econom=C3=ADa de Am=C3=A9rica Latina, = ocasionando que los bancos centrales aumenten las tasas de inter=C3=A9s, fr= enando el crecimiento econ=C3=B3mico y el consumo privado. Para Ecuador, el impacto de la guerra se ev= idencia en las exportaciones, afectando principalmente la producci=C3=B3n d= e banano y flores. Seg=C3=BAn Espinoza-Tandazo et al. (2022)<spa= n style=3D"font-family:'Times New Roman'"> existe un decrecimiento signific= ativo en las exportaciones de Ecuador a Rusia y Ucrania tras el inicio de l= a guerra, con una disminuci=C3=B3n notable del 6,79% en el primer trimestre= de 2022 en comparaci=C3=B3n con el a=C3=B1o anterior. Asimismo Banco = Central del Ecuador (2= 024) se=C3=B1ala que el Producto Interno Bruto (PIB) experiment=C3=B3 un crecimiento del 6.= 19% entre 2020-2022, sin embargo, esta tendencia tuvo una disminuci=C3=B3n = en 2024, registrando un crecimiento del 2.4%. Esta disminuci=C3=B3n del 3.7= 9% en el PIB refleja la dificultad del pa=C3=ADs para mantener un crecimien= to estable, lo que genera repercusiones en el desempe=C3=B1o econ=C3=B3mico= del pa=C3=ADs.Por otra par= te, Ecuador se ha visto afectado tambi=C3=A9n por factores internos que han= influido negativamente, generando crisis en su econom=C3=ADa. Seg=C3=BAn e= l Instituto Nacional de Estad=C3=ADsticas y = Censos (INEC, 202= 4) la dependencia de fuentes de energ=C3=ADa tradicionales, el deterioro de= la infraestructura energ=C3=A9tica, el incremento del Impuesto al V= alor Agregado (IVA) al 15%, el conflicto armado interno y el aumento de la canast= a b=C3=A1sica de $ 11.97 en diciembre del 2024 frente a diciembre de 2023, = han agravado esta crisis ocasionado disminuci=C3=B3n de las ventas e increm= ento de los costos representando una amenaza para la sostenibilidad de las = microempresas a largo plazo. El presente tr= abajo tiene como objetivo realizar un an=C3=A1lisis de los eventos adversos= ocurridos en el per=C3=ADodo 2020-2024, que han afectado a las microempres= as de la ciudad de Loja y c=C3=B3mo estas han incorporado respuestas =C3=A1= giles para superar las diferentes crisis, estos hechos nos conducen a la im= plementaci=C3=B3n de estrategias de resiliencia organizacional para afronta= r dificultades futuras, que les permita adaptarse a los cambios y desaf=C3= =ADos presentados en este per=C3=ADodo.1.1. Revisi=C3=B3n de la literaturaPara la r= ecolecci=C3=B3n de informaci=C3=B3n se analiz=C3=B3 48 art=C3=ADculos bases= cient=C3=ADficas como; 5 art=C3=ADculos Scopus, 17 SciELO y 31 Google Scho= lar, se ha excluido 32 art=C3=ADculos por no estar relacionados con el tema= de investigaci=C3=B3n, seleccionando as=C3=AD una muestra de 21 estudios q= ue est=C3=A1n directamente con la res= iliencia organizacional y que contribuyen positivamente en el desarrollo de= l presente estudio investigativo. En la Tabla 1 se citan los art=C3=ADculos de investigaci=C3=B3n= utilizados como referencias bibliogr=C3=A1ficas. Tabla 1Estudios hist=C3=B3ricos relacionados con la resilie= ncia organizacional<table style=3D"margin-bottom:0pt; padding:0p= t; border-collapse:collapse"><tr><td style=3D"width:129.2pt; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:middle"> Autor </p= ></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"> Objetivo y Metodolog=C3=ADa= </td><td style=3D"width:132.45pt; border= -top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:middle"> = Principales resultados </td></tr><tr><td style=3D"wid= th:129.2pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top">Ortiz<spa= n> & Erazo (2021)</td><td style=3D"width:131.15pt; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:top">Propone un plan de resiliencia empre= sarial y aborda los desaf=C3=ADos causados por la pandemia de coronavirus, = para las empresas de Ca=C3=B1ar. </td><td style=3D"width:132.45p= t; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pad= ding:0pt 5.4pt; vertical-align:top">Analiza tres variables: los ingresos, las medidas de resil= iencia y los resultados empresariales.</td></tr><tr><td style=3D= "width:129.2pt; padding:0pt 5.4pt; vertical-align:top">Mendieta & Mendoza (2024)</s= pan></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= Analiza y eval=C3=BAa las estrategias de gesti=C3=B3n de cri= sis en entornos inciertos.</td><td style=3D"width:132.45pt; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top">La resiliencia se construye a t= rav=C3=A9s de la interacci=C3=B3n con el entorno, las organizaciones deben = desarrollar estructuras =C3=A1giles para la gesti=C3=B3n de crisis. = </td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-a= lign:top">Pino & Torr= albas (2024)</td><td style=3D"width:131.15pt; borde= r-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 5.4pt; vertical-align:top">Describe la influencia de la res= iliencia en la mejora de la gesti=C3=B3n administrativa.</td><td= style=3D"width:132.45pt; border-top:0.75pt solid #000000; border-bottom:0.= 75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">L= as estrategias de resiliencia mejoran la respuesta a los desaf=C3=ADos ines= perados</td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4= pt; vertical-align:top">V= illamarin et al. (2020)</td><td style=3D"width:131.= 15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top">Establecer el impacto= de la resiliencia empresarial en el desarrollo socioecon=C3=B3mico de Mana= b=C3=AD y la crisis que enfrent=C3=B3 en el terremoto de 2016.</= td><td style=3D"width:132.45pt; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">El 47% de las empresas se v= ieron afectadas por la pandemia en Manab=C3=AD. La resiliencia promueve la = adaptaci=C3=B3n y la recuperaci=C3=B3n en situaciones adversas.<= /td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:= top">Sam=C3=A1n<sp= an> et al. (2022)</td><td style=3D"width:131.15pt; border-top:0.= 75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; = vertical-align:top">Analiza el impacto de la resiliencia en = la eficiencia organizacional. Explora futuras l= =C3=ADneas de investigaci=C3=B3n sobre resiliencia y avances tecnol=C3=B3gi= cos.</td><td style=3D"width:132.45pt; border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-alig= n:top">Identifica l= os v=C3=ADnculos entre la resiliencia y la competitividad empresarial. El 9= 3,75% de los estudios se centran en la resiliencia organizacional.</= p></td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-ali= gn:top">Guill=C3=A9n</spa= n> et al. (2022)</td><td style=3D"width:131.15pt; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.= 4pt; vertical-align:top">Determina si la resiliencia es una = ventaja competitiva.</td><td style=3D"width:132.45pt; border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:top">La resiliencia es una ventaja competi= tiva para las organizaciones, las empresas que invierten en resiliencia sup= eran a sus competidores durante las crisis.</td></tr><tr><td sty= le=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top">Guerrero et al. (2024)</spa= n></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p= class=3D"Default" style=3D"text-align:justify; line-height:115%; font-size= :10pt">Analiza la capacidad de supervivencia de las microempresas en = M=C3=A9xico.</td><td style=3D"width:132.45pt; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; verti= cal-align:top">La financiaci=C3=B3n fue la =C3=BAnica variab= le positiva para la supervivencia. El ajuste de precios y la entrega a domi= cilio tuvieron un impacto negativo en la supervivencia.</td></tr= ><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top">Demuner et al. = (2022)</td><td style=3D"width:131.15pt; border-top:0.75pt solid = #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top">Demuestra la resiliencia como una oportunidad para = las pymes durante las crisis.</td><td style=3D"width:132.45pt; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top">Pymes se adaptaron r=C3=A1pi= damente a los desaf=C3=ADos de la pandemia mediante la innovaci=C3=B3n. Ade= m=C3=A1s, las actividades de alto nivel mejoran las posibilidades de =C3=A9= xito de las pymes.</td></tr><tr><td style=3D"width:129.2pt; padd= ing:0pt 5.4pt; vertical-align:top">Mart=C3=ADnez et al. (2024)</td><td style= =3D"width:131.15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 5.4pt; vertical-align:top">Caracte= riza los niveles de resiliencia empresarial: alto, medio, bajo, ninguno.</s= pan></td><td style=3D"width:132.45pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= El 15% de las empresas tuvieron que despedir empleados debid= o a la COVID-19. El mayor n=C3=BAmero de despidos se produjo en empresas de= m=C3=A1s de 10 a=C3=B1os. Se identific=C3=B3 una probabilidad del 66,09% d= e alta resiliencia. </td></tr><tr><td style=3D"width:129.2pt; pa= dding:0pt 5.4pt; vertical-align:top">Xia et al. (2024)</td><td style=3D"widt= h:131.15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top">Analiza los efe= ctos de la cooperaci=C3=B3n desde perspectivas basadas en el mercado y en l= a ciencia.</td><td style=3D"width:132.45pt; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertica= l-align:top">La transformaci=C3=B3n digital amplifica el imp= acto positivo de la cooperaci=C3=B3n en la resiliencia. = Existe heterogeneidad espacial en el impacto de la cooperaci= =C3=B3n en la resiliencia a la innovaci=C3=B3n.</td></tr><tr><td= style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top"><s= pan style=3D"background-color:#ffff00">Bola=C3=B1os & Pel= =C3=A1ez (2021)</td><td style=3D"width:131.15pt; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:top">Analiza el impacto de la COVID-19 en los s= ectores del transporte y el turismo.</td><td style=3D"width:132.= 45pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top">La empresa de transpo= rte mantuvo sus operaciones a pesar de la reducci=C3=B3n de clientes, no su= fri=C3=B3 cambios dr=C3=A1sticos. La empres= a de turismo suspendi=C3=B3 sus actividades durante varios meses e innov=C3= =B3 para generar nuevas fuentes de ingresos.</td></tr><tr><td st= yle=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top"><span= style=3D"background-color:#ffff00">V=C3=A1quiro (2023)= </td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Identifica las causas de la corta vida =C3=BAtil de las empresas= hoteleras.</td><td style=3D"width:132.45pt; border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertic= al-align:top">La gesti=C3=B3n financiera ayuda a la superviv= encia durante las crisis. Los altos niveles de deuda reducen la capacidad d= e innovaci=C3=B3n.</td></tr><tr><td style=3D"width:129.2pt; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Duchek (2020)</s= pan></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= Resalta los principales antecedentes e impulsores de la resi= liencia organizacional y formular propuestas para futuros estudios emp=C3= =ADricos.</td><td style=3D"width:132.45pt; border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical= -align:top">Destaca que las capacidades de resiliencia son c= omplejas y est=C3=A1n arraigadas en los contextos sociales, influenciadas p= or factores como la disponibilidad de recursos .</td></tr></tabl= e><span= > La variable con la que concuerdan la mayor=C3=ADa de estud= ios es que la resiliencia permite superar las crisis, entre los factores m= =C3=A1s importantes destaca la necesidad de </span= >innovar, adaptarse a la tecnolog=C3=ADa y la motivaci=C3=B3n de los = empleados, esto hace a una empresa resiliente e incrementa las posibilidade= s de =C3=A9xito a largo plazo. Por otra par= te, los estudios analizados indican que la crisis influy=C3=B3 de forma neg= ativa, se mencionan que en tiempos de pandemia un gran porcentaje de empres= as despidieron empleados por falta de liquidez, en otros casos recurrieron = a fuentes de financiamiento externo como =C3=BAnica manera de ser resilient= es a estas adversidades. Adem=C3=A1s, se consider=C3=B3 bibliograf=C3=ADa c= omplementaria, como se muestra a continuaci=C3=B3n en la Tabla 2.Tabla 2</= span>Bibliograf=C3=ADa de estudios complement= arios<table style=3D"margin-bottom:0pt; padding:0pt; border-coll= apse:collapse"><tr><td style=3D"width:136.3pt; border-top:0.75pt solid #000= 000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:= top"> Autor</td><td = style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top">&#x= a0;Objetivo y Metodolog=C3=ADa</td><td = style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top">&#x= a0;Principales resultados= </td></tr><tr><td style=3D"width:136.3pt; border-top:0.75p= t solid #000000; padding:0pt 5.4pt; vertical-align:top">Carrera & Di=C3=A9guez (2021)</td><td s= tyle=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">An= =C3=A1lisis del consumo de energ=C3=ADa en las pymes estudiadas.= </td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Destac=C3=B3 la importancia= de la eficiencia energ=C3=A9tica y las fuentes de energ=C3=ADa alternativa= s para estas empresas.</td></tr><tr><td style=3D"width:136.3pt; = padding:0pt 5.4pt; vertical-align:top"> Medina et al. (2021) </td><td style=3D"width:136.35pt; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ver= tical-align:top">Se centra en identificar las mejoras y los = procesos de baja calidad en estas empresas</td><td style=3D"widt= h:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top">Hace hincapi=C3= =A9 en la necesidad de una formaci=C3=B3n eficaz para mejorar las habilidad= es de los empleados y el desempe=C3=B1o de la empresa.</td></tr>= <tr><td style=3D"width:136.3pt; padding:0pt 5.4pt; vertical-align:top">Guerrero & Guerrero (2023)</span= ></td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Examina las relaciones entre el comportamiento social organizac= ional y estructural.</td><td style=3D"width:136.35pt; border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:top">El liderazgo t=C3=B3xico conduce a un= a cultura organizacional negativa, los trabajadores prefieren el trabajo re= moto por su flexibilidad y productividad.</td></tr><tr><td style= =3D"width:136.3pt; padding:0pt 5.4pt; vertical-align:top">Espinoza-Tandazo et al. (2022)</td><td= style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.= 75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">E= val=C3=BAa el impacto de la guerra en los niveles de exportaci=C3=B3n de Ec= uador, centr=C3=A1ndose especialmente en productos clave como los pl=C3=A1t= anos, las flores y los crust=C3=A1ceos, que se comercializan de manera sign= ificativa con Rusia y Ucrania.</td><td style=3D"width:136.35pt; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:0pt 5.4pt; vertical-align:top">Indica una disminuci=C3=B3n= significativa en las exportaciones de Ecuador a Rusia y Ucrania tras el in= icio de la guerra entre Rusia y Ucrania, con una disminuci=C3=B3n notable d= el 6,79% en el primer trimestre de 2022 en comparaci=C3=B3n con el a=C3=B1o= anterior.</td></tr><tr><td style=3D"width:136.3pt; padding:0pt = 5.4pt; vertical-align:top">Chalen<span= > et al. (2023)</td><td style=3D"width:136.35pt; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:top">Analiza los efectos del conflicto en las v= entas y los precios de los pl=C3=A1tanos exportados a Rusia, centr=C3=A1ndo= se especialmente en la reducci=C3=B3n de las fluctuaciones de las ventas y = los precios entre 2021 y 2022</td><td style=3D"width:136.35pt; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top">Denota que los exportadores = de banano de la provincia de El Oro han seguido utilizando las transferenci= as internacionales como principal m=C3=A9todo de pago durante el conflicto.= </td></tr><tr><td style=3D"width:136.3pt; padding:0pt 5.4pt; ver= tical-align:top">Cariolle & = L=C3=A9on (2024)</td><td style=3D"width:136.35pt; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:top">Explora el papel del uso de Internet en l= a adaptaci=C3=B3n de las estrategias empresariales en medio de la pandemia<= /span></td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= ">El estudio enfatiza la importancia de abordar las brechas = de adopci=C3=B3n digital para mejorar la resiliencia, particularmente en la= s regiones en desarrollo.</td></tr><tr><td style=3D"width:136.3p= t; padding:0pt 5.4pt; vertical-align:top">Gal= vis (2021)</td><td style=3D"width:136.35pt; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:top">Propone estrategias para mejorar e= l servicio bas=C3=A1ndose en los resultados de la encuesta.</td>= <td style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><spa= n>La investigaci=C3=B3n se centra en mejorar el servicio al cliente en una = empresa de seguridad privada a trav=C3=A9s de propuestas y evaluaciones est= rat=C3=A9gicas</td></tr><tr><td style=3D"width:136.3pt; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Zimmering (2022)</td><td styl= e=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.75pt = solid #000000; padding:0pt 5.4pt; vertical-align:top">Analiz= a las actitudes de Am=C3=A9rica Latina ante la guerra de Ucrania.</p= ></td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Los impactos econ=C3=B3micos de las interrupciones en el suministro= de fertilizantes afectan a la producci=C3=B3n agr=C3=ADcola.</t= d></tr></table> 2.</= span> Metodolog=C3=ADa</sp= an><s= pan style=3D"font-family:'Times New Roman'">La presente investigaci=C3=B3n = se define con un enfoque metodol=C3=B3gico descriptivo, cuantitativo y tran= sversal. Se realiz=C3=B3 el proceso de b=C3=BAsqueda y an=C3=A1lisis de las= fuentes bibliogr=C3=A1ficas en art=C3=ADculos relevantes relacionados espe= c=C3=ADficamente con la resiliencia organizacional. Asimismo, la aplicaci= =C3=B3n de la encuesta se justifica bajo un muestreo no probabil=C3=ADstico= dirigido a 34 representantes de microempresas de la ciudad de Loja de dist= intos sectores econ=C3=B3micos. Para medir la capacidad de resiliencia orga= nizacional de las microempresas, se dise=C3=B1=C3=B3 un cuestionario de pre= guntas en una escala de Likert clasificado en 4 dimensiones: Financiera, Cl= iente, Operacional y Organizacional. La recolecci=C3=B3n de datos se realiz= =C3=B3 de manera digital mediante un formulario en google forms. Para valid= ar la propuesta, se emple=C3=B3 el m=C3=A9todo de W de Kendall, el cual per= miti=C3=B3 medir el grado de concordancia entre las respuestas de siete eva= luadores expertos del microcomercio. 3. &= #xa0; ResultadosLos resultados obtenidos de la evaluaci=C3=B3n de experto= s, indican un alto grado de concordancia relacionadas con las estrategias y= la capacidad de las microempresas para recuperarse de las adversidades. As= imismo, la valoraci=C3=B3n de la propuesta destinada a fortalecer la resili= encia empresarial demostr=C3=B3 su viabilidad.3.1. Propuesta En base a los resul= tados y considerando la revisi=C3=B3n bibliogr=C3=A1fica, nuestra propuesta= se fundamenta en el fortalecimiento de los siguientes componentes de cada = dimensi=C3=B3n analizada: <ol style=3D"margin:0pt; padding-left:= 0pt; list-style-type:lower-latin"><li class=3D"Default" style=3D"margin-lef= t:13.25pt; text-align:justify; line-height:115%; padding-left:8.05pt; font-= size:11pt; font-style:italic"><a id=3D"_Hlk190191852">Dimensi=C3=B3n Financiera</a></li></ol><= p class=3D"Default" style=3D"margin-left:35.45pt; text-indent:-35.45pt; tex= t-align:justify; line-height:115%"><a id=3D"_Hlk189666878"></a><a id=3D"_Hl= k189665729"></a><a id=3D"_Hlk189665949">A= n=C3=A1lisis del impacto econ=C3=B3mico y financiero de las acciones resili= entes ejecutadas:</a>Utilizar herramientas financieras de an=C3= =A1lisis financiero, como indicadores de rentabilidad, indicadores de endeu= damiento, flujo de caja, y margen de contribuci=C3=B3n, son fundamentales p= ara evaluar el desempe=C3=B1o de las acciones antes y despu=C3=A9s de la cr= isis, permitiendo desarrollar estrategias para mejorar la eficiencia y la l= iquidez de la empresa.Renegociar contratos con proveedores para obtener mejores condiciones</spa= n>:<= /p>Para asegurar una respuesta resilie= nte y =C3=A1gil a los cambios del mercado, se propone revisar los contratos= actuales con proveedores e identificar oportunidades de flexibilidad y est= ablecer acuerdos que se ajusten a las nuevas din=C3=A1micas del mercado, lo= que permitir=C3=A1 optimizar el flujo de caja, reducir costos operativos y= a la vez asegurar la continuidad operativa de la empresa.Automatizar procesos como facturaci=C3= =B3n, cobranza y pagos<a id=3D"_Hlk190166981">La automatizaci=C3=B3n de procesos como facturaci=C3=B3n= , cobranza y pagos reduce errores optimizando eficientemente cada operaci= =C3=B3n, mejorando la gesti=C3=B3n del flujo de caja y permite responder a = las necesidades del cliente con mayor rapidez ante cambios inesperados, for= taleciendo la resiliencia organizacional</a>Negociar l=C3=ADneas de cr=C3=A9dito flexibles con i= nstituciones financierasLa negociaci=C3=B3n de cr=C3=A9ditos con = instituciones financieras permite a la empresa contar con recursos econ=C3= =B3micos inmediatos en momentos de incertidumbre, asegurando la continuidad= operativa y la capacidad para afrontar imprevistos, mantenido su estabilid= ad financiera para enfrentar desaf=C3=ADos externos.Destinar un porcentaje = de la utilidad neta para imprevistos:Se sugiere destinar un fond= o de reserva a discreci=C3=B3n de la organizaci=C3=B3n, cabe se=C3=B1alar q= ue este fondo no es arbitrario y seria en relaci=C3=B3n con la capacidad fi= nanciera de cada empresa, destinado a la gesti=C3=B3n de imprevistos o even= tualidades como pandemia, crisis energ=C3=A9ticas, desastres naturales, fal= las en la cadena de suministro o cualquier gasto emergente, permitiendo a l= as microempresas fortalecer su capacidad de resiliencia financiera y operat= iva.<ol start=3D"2" style=3D"margin:0pt; padding-left:0pt; list-= style-type:lower-latin"><li class=3D"Default" style=3D"margin-left:13.25pt;= text-align:justify; line-height:115%; padding-left:15.1pt; font-size:11pt;= font-style:italic">Dimens= i=C3=B3n cliente</li></ol>Validar peri=C3=B3dicamente los procesos de actualiz= aci=C3=B3n de la informaci=C3=B3n de los clientes:Establecer proc= esos de validaci=C3=B3n peri=C3=B3dica de la informaci=C3=B3n permite asegu= rar que los datos de los clientes est=C3=A9n actualizados, esto facilita un= a comunicaci=C3=B3n efectiva y la personalizaci=C3=B3n de la atenci=C3=B3n = para mantener la lealtad de los clientes. Asimismo, fortalece las relacione= s comerciales y mejora la resiliencia organizacional.Mejorar las estrategia= s tecnol=C3=B3gicas para personalizar la atenci=C3=B3n del cliente:<= /p><spa= n>La implementaci=C3=B3n de herramientas con inteligencia artificial es pri= mordial para ofrecer atenci=C3=B3n personalizada a los clientes, la incorpo= raci=C3=B3n de estas tecnolog=C3=ADas permite captar nuevos clientes y fide= lizar a los existentes, adem=C3=A1s de elevar el est=C3=A1ndar de calidad y= el desarrollo sostenible a largo plazo.Implementar pol=C3=ADticas de prote= cci=C3=B3n de datos para los clientes de las microempresas:La pro= tecci=C3=B3n y privacidad del cliente es una obligaci=C3=B3n =C3=A9tica par= a las empresas resilientes, adem=C3=A1s se convierte en un factor diferenci= ador que fortalece la confianza y determina la elecci=C3=B3n del cliente. E= s por ello, que se debe establecer pol=C3=ADticas para el manejo seguro y r= esponsable de la informaci=C3=B3n del cliente.Estrategias con inteligencia = artificial para difundir la marca:Incorporar inteligencia artific= ial como una estrategia para crear resiliencia, permite promover la marca, = a trav=C3=A9s de descuentos y promociones por diferentes redes sociales, em= ail, notificaciones, por medio de un sistema donde los clientes acumulan pu= ntos por interactuar con la marca, compartir contenido o realizar compras, = permitiendo a la empresa posicionarse y ganar espacio en un mercado competi= tivo.<ol start=3D"3" style=3D"margin:0pt; padding-left:0pt; list= -style-type:lower-latin"><li class=3D"Default" style=3D"margin-left:12.63pt= ; text-align:justify; line-height:115%; padding-left:8.67pt; font-size:11pt= ; font-style:italic">Dimen= si=C3=B3n operacional</li></ol>Implementar herramientas de an=C3=A1lisis de dat= os:La implementaci=C3=B3n de herramientas de an=C3=A1lisis de dat= os, son fundamentales para que las microempresas comprendan el comportamien= to de sus clientes y tomar decisiones informadas en la realizaci=C3=B3n de = estrategias, el uso de herramientas de pago o gratuitas como Google Analyti= cs y Tableau, ofrecen funcionalidades que permiten a las empresas medir la = interacci=C3=B3n que tienen con el cliente en la b=C3=BAsqueda de productos= o servicios.Actualizar equipos e instalar un software contable en una nube= :Invertir en actualizaci=C3=B3n de equipos y migraci=C3=B3n a una= nube de datos se convierte en una estrategia fundamental para fortalecer l= a resiliencia organizacional de la empresa, porque garantiza la continuidad= de las operaciones, el acceso remoto a datos y un respaldo seguro de la in= formaci=C3=B3n.Implementar dashboards para monitorear indicadores clave de = desempe=C3=B1o (KPIs):La implementaci=C3=B3n de desbordas permite= monitorear en tiempo real los indicadores clave de desempe=C3=B1o (KPIs), = proporcionando una visi=C3=B3n clara y actualizada del estado de la organiz= aci=C3=B3n, facilitando la identificaci=C3=B3n r=C3=A1pida de anomal=C3=ADa= s o desviaciones que puedan indicar riesgos emergentes.Implementar solucio= nes de energ=C3=ADa alternativa y eficiencia energ=C3=A9tica:La i= mplementaci=C3=B3n de sistemas de energ=C3=ADa alternativos como generadore= s, paneles solares o bater=C3=ADas evita interrupciones en el servicio y tr= ansmite una imagen de confianza a los clientes, es indispensable para mante= ner las ventas y evitar p=C3=A9rdidas econ=C3=B3micas generando ventaja com= petitiva.<ol start=3D"4" style=3D"margin:0pt; padding-left:0pt; = list-style-type:lower-latin"><li class=3D"Default" style=3D"margin-left:13.= 25pt; text-align:justify; line-height:115%; padding-left:8.05pt; font-size:= 11pt; font-style:italic">D= imensi=C3=B3n organizacional</li></ol>= Elaborar un plan de contingencia para dif= erentes tipos de crisis:Estructurar un plan de contingencia para = identificar los posibles riegos que puedan afectar a la empresa, el cual de= be contener los protocolos y acciones a seguir para minimizar el impacto en= una situaci=C3=B3n vulnerable, esto permite a la organizaci=C3=B3n estar m= ejor preparada en situaciones dif=C3=ADciles y adaptarse a los cambios.</sp= an>Prom= over la alfabetizaci=C3=B3n de datos en todos los niveles de la organizaci= =C3=B3n:Invertir en la capacitaci=C3=B3n de los empleados, desde = todos los niveles jer=C3=A1rquicos, para que utilicen los datos de manera e= fectiva, es una estrategia clave para impulsar la resiliencia organizaciona= l. Una empresa con empleados capacitados est=C3=A1 mejor preparada para ada= ptarse y responder r=C3=A1pidamente a los cambios.Desarrollar programas de capacitaci=C3=B3n en habilidades digi= tales para adaptarse al trabajo remoto:Desarrollar programas de c= apacitaci=C3=B3n para los colaboradores como conferencias, talleres, semina= rios o e-learning enfocados en valores organizacionales y gesti=C3=B3n de c= risis para construir una cultura de resiliencia, a trav=C3=A9s de herramien= tas como Zoom, Microsoft Teams y Google Meet, con habilidades para enfrenta= r las crisis y adaptarse positivamente al cambio.Automatizaci=C3=B3n de ope= raciones para reducir la dependencia del trabajo presencial:Imple= mentar tecnolog=C3=ADas para automatizaci=C3=B3n de procesos repetitivos in= crementa la eficiencia operativa y reduce costos en la empresa, generando u= na respuesta positiva en la organizaci=C3=B3n relacionada con la agilidad y= los tiempos de respuesta en la producci=C3=B3n para dar respuestas m=C3=A1= s =C3=A1giles. 3.2. </sp= an> Validaci=C3=B3n de la propuesta </spa= n><= span class=3D"Strong" style=3D"font-weight:normal">La validaci=C3=B3n de lo= s expertos conformados por gerentes y propietarios de microemp= resas del sector servicios y comercio se la realiz=C3=B3 considerando los siguientes crit= erios<a id=3D"_Hlk190193928">, como se muestran en la Tabla 3= .</a>= Tabla 3Escala de medida= <table style=3D"margin-bottom:0pt; padding:0pt; border-collapse:collaps= e"><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-= right:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:to= p">Categor=C3=ADa</td><td style=3D"width:209.9pt; = border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; padding:= 0pt 5.4pt 0pt 5.03pt; vertical-align:top">Calificaci=C3=B3n</= span></td></tr><tr><td rowspan=3D"4" style=3D"width:209.9pt; border-top= :0.75pt solid #7f7f7f; border-right:0.75pt solid #000000; border-bottom:0.7= 5pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:top"> Suficiencia (S) </td><td style=3D"width:209.9pt; border-top:0.75pt soli= d #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f= 7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">1. N= o cumple con el criterio </td></tr><tr><td style=3D"width:209.9p= t; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; borde= r-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align= :top">2. Bajo Nivel</td></tr><tr><td style=3D"wid= th:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #0000= 00; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; verti= cal-align:top">3. Moderado nivel </td></tr><tr><t= d style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75= pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt= 5.03pt; vertical-align:top">4. Alto nivel</td></= tr><tr><td rowspan=3D"4" style=3D"width:209.9pt; border-top:0.75pt solid #7= f7f7f; border-right:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7= f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:top"> <= /span> </s= pan>Claridad (CI)</= p> = </td><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-le= ft:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.= 4pt 0pt 5.03pt; vertical-align:top">1. No cumple con el crit= erio </td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt= solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt soli= d #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top"><span= >2. Bajo Nivel</td></tr><tr><td style=3D"width:209.9pt; border-t= op:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.= 75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">3. Moderado nivel </td></tr><tr><td style=3D"width:209= .9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-al= ign:top">4. Alto nivel</td></tr><tr><td rowspan= =3D"4" style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-righ= t:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.0= 3pt 0pt 5.4pt; vertical-align:top"> Coherencia (C)<sp= an style=3D"font-family:'Times New Roman'"> </td><td style= =3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt soli= d #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt= ; vertical-align:top">1. No cumple con el criterio </= p></td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f= ; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; pad= ding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">2. Bajo Niv= el</td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt so= lid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #= 7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">3.= Moderado nivel </td></tr><tr><td style=3D"width:209.9pt; border= -top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:= 0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">4. Alto nivel</td></tr><tr><td rowspan=3D"4" style= =3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-right:0.75pt sol= id #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4p= t; vertical-align:top"> Relevancia (R)</td><td style=3D"wi= dth:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000= 000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vert= ical-align:top">1. No cumple con el criterio </td= ></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; bord= er-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0= pt 5.4pt 0pt 5.03pt; vertical-align:top">2. Bajo Nivel</span= ></td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7= f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; = padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">3. Moderad= o nivel </td></tr><tr><td style=3D"width:209.9pt; border-top:0.7= 5pt solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt s= olid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top"><s= pan>4. Alto nivel</td></tr></table>Nota: Escala d= e valoraci=C3=B3n El resultado de la evaluaci=C3= =B3n se muestra en la Tabla 4:</spa= n><s= pan style=3D"font-weight:bold">Tabla 4= Datos validaci=C3=B3n propuesta<table style=3D"margin-bottom:0pt= ; padding:0pt; border-collapse:collapse"><tr><td style=3D"width:77.45pt; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:top">Experto</td><td st= yle=3D"width:77.45pt; border-top:0.75pt solid #000000; border-bottom:0.75pt= solid #000000; padding:0pt 5.4pt; vertical-align:top">Sufic= iencia</td><td style=3D"width:77.5pt; border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-alig= n:top">Claridad</td><td style=3D"width:77.5pt; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:top">Coherencia</td><td= style=3D"width:77.5pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Rel= evancia</td></tr><tr><td style=3D"width:77.45pt; border-top:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">1</= span></td><td style=3D"width:77.45pt; border-top:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top">3</td><td = style=3D"width:77.5pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; = vertical-align:top">3</td><td style=3D"width:77.5= pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"= >3</td><td style=3D"width:77.5pt; border-top:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">4</= span></td></tr><tr><td style=3D"width:77.45pt; padding:0pt 5.4pt; verti= cal-align:top">2</td><td style=3D"width:77.45pt; = padding:0pt 5.4pt; vertical-align:top">4</td><td = style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top"><spa= n>4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-a= lign:top">4</td><td style=3D"width:77.5pt; paddin= g:0pt 5.4pt; vertical-align:top">3</td></tr><tr><= td style=3D"width:77.45pt; padding:0pt 5.4pt; vertical-align:top">3</td><td style=3D"width:77.45pt; padding:0pt 5.4pt; vert= ical-align:top">3</td><td style=3D"width:77.5pt; = padding:0pt 5.4pt; vertical-align:top">4</td><td = style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top"><spa= n>4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-a= lign:top">4</td></tr><tr><td style=3D"width:77.45= pt; padding:0pt 5.4pt; vertical-align:top">4</td>= <td style=3D"width:77.45pt; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; verti= cal-align:top">4</td><td style=3D"width:77.5pt; p= adding:0pt 5.4pt; vertical-align:top">3</td><td s= tyle=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top"><span= >4</td></tr><tr><td style=3D"width:77.45pt; padding:0pt 5.4pt; v= ertical-align:top">5</td><td style=3D"width:77.45= pt; padding:0pt 5.4pt; vertical-align:top">3</td>= <td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; verti= cal-align:top">3</td><td style=3D"width:77.5pt; p= adding:0pt 5.4pt; vertical-align:top">3</td></tr>= <tr><td style=3D"width:77.45pt; padding:0pt 5.4pt; vertical-align:top">6</td><td style=3D"width:77.45pt; padding:0pt 5.4pt; = vertical-align:top">3</td><td style=3D"width:77.5= pt; padding:0pt 5.4pt; vertical-align:top">3</td>= <td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; verti= cal-align:top">4</td></tr><tr><td style=3D"width:= 77.45pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top">7</td><td style=3D"width:77.45pt; border= -bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; border-bottom:0.75pt s= olid #000000; padding:0pt 5.4pt; vertical-align:top">4</span= ></td><td style=3D"width:77.5pt; border-bottom:0.75pt solid #000000; pa= dding:0pt 5.4pt; vertical-align:top">3</td><td st= yle=3D"width:77.5pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt;= vertical-align:top">3</td></tr></table>Nota: Datos obtenidos de la aplicaci=C3=B3n de la encuesta </= p> La validaci=C3=B3n de la propuesta fue evaluada en los cr= iterios de claridad con un promedio de 3.4, suficiencia con promedio superi= or a 3.4, coherencia obtuvo un promedio de 3.4 y relevancia un promedio de = 3.7. Estos hallazgos sugieren que las estrategias propuestas son viables y = factibles para implementar en el contexto de las microempresas, lo que podr= =C3=ADa fortalecer su capacidad para enfrentar y superar situaciones advers= as, se ha considerado asignaci=C3=B3n de rangos para el c=C3=A1lculo, como = se muestra en la Tabla 5:Tabla 5= Asignaci=C3=B3n de rangos<table style= =3D"margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td style= =3D"width:73.45pt; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:0pt 5.4pt; vertical-align:top">Experto<= /span></td><td style=3D"width:74.55pt; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"= >Suficiencia</td><td style=3D"width:73.8pt; borde= r-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 5.4pt; vertical-align:top">Claridad</td><td styl= e=3D"width:74.8pt; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:0pt 5.4pt; vertical-align:top">Coherenc= ia</td><td style=3D"width:74.6pt; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p">Relevancia</td></tr><tr><td style=3D"width:73.= 45pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p">1</td><td style=3D"width:74.55pt; border-top:0= .75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= 6</td><td style=3D"width:73.8pt; border-top:0.75pt solid #000000= ; padding:0pt 5.4pt; vertical-align:top">7</td><t= d style=3D"width:74.8pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt= ; vertical-align:top">6</td><td style=3D"width:74= .6pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p">6</td></tr><tr><td style=3D"width:73.45pt; pad= ding:0pt 5.4pt; vertical-align:top">2</td><td sty= le=3D"width:74.55pt; padding:0pt 5.4pt; vertical-align:top">= 1</td><td style=3D"width:73.8pt; padding:0pt 5.4pt; vertical-ali= gn:top">1</td><td style=3D"width:74.8pt; padding:= 0pt 5.4pt; vertical-align:top">1</td><td style=3D= "width:74.6pt; padding:0pt 5.4pt; vertical-align:top">6</spa= n></td></tr><tr><td style=3D"width:73.45pt; padding:0pt 5.4pt; vertical= -align:top">3</td><td style=3D"width:74.55pt; pad= ding:0pt 5.4pt; vertical-align:top">6</td><td sty= le=3D"width:73.8pt; padding:0pt 5.4pt; vertical-align:top">1= </td><td style=3D"width:74.8pt; padding:0pt 5.4pt; vertical-alig= n:top">1</td><td style=3D"width:74.6pt; padding:0= pt 5.4pt; vertical-align:top">1</td></tr><tr><td = style=3D"width:73.45pt; padding:0pt 5.4pt; vertical-align:top"><sp= an>4</td><td style=3D"width:74.55pt; padding:0pt 5.4pt; vertical= -align:top">1</td><td style=3D"width:73.8pt; padd= ing:0pt 5.4pt; vertical-align:top">1</td><td styl= e=3D"width:74.8pt; padding:0pt 5.4pt; vertical-align:top">6<= /span></td><td style=3D"width:74.6pt; padding:0pt 5.4pt; vertical-align= :top">1</td></tr><tr><td style=3D"width:73.45pt; = padding:0pt 5.4pt; vertical-align:top">5</td><td = style=3D"width:74.55pt; padding:0pt 5.4pt; vertical-align:top"><sp= an>6</td><td style=3D"width:73.8pt; padding:0pt 5.4pt; vertical-= align:top">1</td><td style=3D"width:74.8pt; paddi= ng:0pt 5.4pt; vertical-align:top">6</td><td style= =3D"width:74.6pt; padding:0pt 5.4pt; vertical-align:top">6</= span></td></tr><tr><td style=3D"width:73.45pt; padding:0pt 5.4pt; verti= cal-align:top">6</td><td style=3D"width:74.55pt; = padding:0pt 5.4pt; vertical-align:top">6</td><td = style=3D"width:73.8pt; padding:0pt 5.4pt; vertical-align:top"><spa= n>7</td><td style=3D"width:74.8pt; padding:0pt 5.4pt; vertical-a= lign:top">1</td><td style=3D"width:74.6pt; paddin= g:0pt 5.4pt; vertical-align:top">1</td></tr><tr><= td style=3D"width:73.45pt; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:top">7</td><td style=3D"wid= th:74.55pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical= -align:top">1</td><td 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Observaci=C3=B3n expert= osExperto 1. Implementar= soluciones concretas como sistemas de almacenamiento de energ=C3=ADa el=C3= =A9ctrica mediante la instalaci=C3=B3n de energ=C3=ADa alternativa como bat= er=C3=ADas o paneles solares que no afecte la estabilidad del negocio, adem= =C3=A1s es importante analizar los costos y beneficios para la empresa. </s= pan>Experto 2. Los programas de capacitaci=C3=B3n a desarrollar de= ben incluir tem=C3=A1ticas adecuadas para cada tipo de negocio enfocadas a = motivar el compromiso de los empleados, mejorar habilidades como ventas en = l=C3=ADnea y marketing digital para captar clientes permiten tener resilien= cia organizacional y superar las cris= isExperto 3. Elaborar un plan de contingencia que contenga = informaci=C3=B3n necesaria donde se integre los pasos a seguir en situacion= es de crisis es fundamental para fortalecer la resiliencia organizacional e= n la empresa.Experto 4. La adopci=C3=B3n de tecnolog=C3=ADa= y actualizaci=C3=B3n de equipos incrementa la facilidad para establecer co= nexi=C3=B3n remota con los empleados desde cualquier lugar, permitiendo rea= lizar a tiempo las actividades programadas para fortalecer la resiliencia o= rganizacional en =C3=A9pocas de crisis.Experto 5. La alinea= ci=C3=B3n con los valores de la empresa son pilares fundamentales para que = los negocios resistan y puedan generar respuestas solidas frente a las adve= rsidades de manera efectiva, lo que genera una imagen de marca confiable. P= or otra parte, una cultura organizacional bien definida se convierte en un = diferenciador de la competencia fomentando relaciones duraderas con los cli= entes y colaboradores.Experto 6.</spa= n> Expandir los canales de di= stribuci=C3=B3n y adaptarse a las necesidades individuales de los clientes = aseguran la continuidad de las operaciones frente a posibles interrupciones= , las entregas a domicilio ofrecen comodidad, por otro lado, la atenci=C3= =B3n personalizada demuestra un compromiso con la satisfacci=C3=B3n del cli= ente, lo que permite una mejor adaptabilidad a los cambios bruscos del merc= ado.Experto 7. La seguridad privada desempe=C3=B1a un papel= decisivo en la gesti=C3=B3n de crisis, contribuye a crear un entorno de tr= abajo seguro, la inversi=C3=B3n en seguridad privada ofrece mayor capacidad= de resiliencia para resistir y recuperarse ante eventos adversos, garantiz= ando la continuidad de las operaciones y la protecci=C3=B3n del patrimonio.= Se destacan los resultados = relevantes sin incurrir en repeticiones de informaci=C3=B3n.4. = Discusi=C3=B3n Los resultados del estudio se=C3=B1alan la importancia de las f= uentes de financiamiento externas para la supervivencia y resiliencia de la= s empresas frente a las crisis. Guerrero et al. (2024) el acceso a capital externo se consi= dera como una variable positiva que proporciona liquidez para superar perio= dos de inestabilidad permitiendo a las microempresas mantener sus obligacio= nes y operaciones.La implem= entaci=C3=B3n de energ=C3=ADa alternativa para solucionar los problemas rel= acionados con la operatividad de la empresa tiene un impacto positivo en la= eficiencia, as=C3=AD posibilita actuar r=C3=A1pidamente y dar soluciones i= nmediatas para satisfacer las necesidades del cliente. Seg=C3=BAn Carrera & Di=C3=A9guez (2021<spa= n style=3D"font-family:'Times New Roman'">) la eficiencia energ=C3=A9tica e= s un pilar fundamental para sobrevivir en un mercado cambiante debido a sit= uaciones adversas que enfrentan las empresas, se debe proponer soluciones d= e mejora especialmente en =C3=A1reas espec=C3=ADficas.En cuanto al desarrollo de programas de capaci= taci=C3=B3n para el personal, se puede evidenciar que tiene un impacto tran= sformador en los valores y el compromiso de los colaboradores con la empres= a para responder eficientemente a los cambios. La capacitaci=C3=B3n genera = un valor agregado en los empleados como en la empresa, favoreciendo la tran= smisi=C3=B3n de conocimientos que son aplicados espec=C3=ADficamente a cada= =C3=A1rea de la organizaci=C3=B3n, destacando la importancia de la inversi= =C3=B3n en el desarrollo de los empleados a trav=C3=A9s de la formaci=C3=B3= n para el crecimiento empresarial (Medina et al., 2021).La utilizaci=C3=B3n de herramientas tecnol=C3=B3gicas para incre= mentar las ventas es primordial en la actualidad, implementar, actualizar e= innovar en conocimientos constantemente es una necesidad imperativa para q= ue las empresas se adapten a las condiciones cambiantes e imprevistos. Las = empresas con sitios web antes de la pandemia demostraron mayor capacidad de= adaptaci=C3=B3n, con probabilidades altas de permanecer operativas durante= la crisis sanitaria, las interacciones en l=C3=ADnea ayudan a mitigar los = impactos y mejoran la resiliencia organizacional frente a un cambio brusco = en la econom=C3=ADa (Cariolle & L=C3=A9on, 2024).La seguridad es una medida efectiva para la resiliencia organizaci= onal, atrae m=C3=A1s clientes ya que se sienten motivados por la seguridad = y confianza, permite a la empresa afrontar mejor los desaf=C3=ADos y recupe= rarse r=C3=A1pidamente de las adversidades.Los resultados de este estudio demuestran que la seguridad = es un pilar fundamental para la resiliencia organizacional. Al implementar = medidas de seguridad las empresas protegen sus activos, al personal y a sus= clientes, creando un ambiente de confianza y fortaleciendo su reputaci=C3= =B3n. La dificultad para retener clientes est=C3=A1 estrechamente ligada a = la percepci=C3=B3n de seguridad. Por lo tanto, es imprescindible desarrolla= r e implementar estrategias de seguridad que fortalezcan la lealtad de los = clientes (Galvis, = 2021).<spa= n style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171">= 5. Conclusion= esEn bas= e a la investigaci=C3=B3n realizada se logr=C3=B3 determinar:Las microempresas enfr= entan m=C3=BAltiples desaf=C3=ADos que afectan su capacidad de recuperaci= =C3=B3n ante crisis, se identifican estrategias pr=C3=A1cticas, como el acc= eso a financiamiento y la capacitaci=C3=B3n en marketing digital, es determ= inante para mejorar su resiliencia organizacional. Estas medidas permiten a= daptarse a los cambios del entorno, facilitando la retenci=C3=B3n de client= es que es esencial para su sostenibilidad a largo plazo.La disminuci=C3=B3n de la b= ase de clientes es un desaf=C3=ADo para la resiliencia organizacional de la= s microempresas durante las crisis. Asimismo, la adopci=C3=B3n de herramien= tas tecnol=C3=B3gicas, como promociones y ofertas a trav=C3=A9s de platafor= mas digitales como Facebook, Instagram y correo electr=C3=B3nico han sido u= na estrategia clave para mitigar este impacto. La inversi=C3=B3n en tecnolo= g=C3=ADa y la comprensi=C3=B3n de las necesidades del cliente a trav=C3=A9s= de estos canales se presentan como factores determinantes para la superviv= encia y el crecimiento de las microempresas frente a futuras adversidades</= span>La mayor p= arte de las microempresas encuestadas carecen de planes de contingencia, es= ta falta de preparaci=C3=B3n ante crisis puede tener consecuencias catastr= =C3=B3ficas, ya que son susceptibles a los impactos negativos en su estabil= idad y crecimiento, el desconocimiento de posibles riesgos impide desarroll= ar estrategias para fortalecer la resiliencia de los negocios ante posibles= emergencias. Un 88% de las empresas evidencian la ausencia de planes de co= ntingencia, lo que representa una necesidad de implementar programas de for= maci=C3=B3n que preparen a los empresarios para enfrentar las crisis. Inver= tir en recursos humanos y tecnol=C3=B3gicos se convierte en una prioridad p= ara fomentar una cultura organizacional resiliente.<sp= an style=3D"font-family:'Times New Roman'">Los resultados indican que una g= ran parte de las microempresas se siente poco preparada para enfrentar cris= is, lo que representa la urgencia de desarrollar una mentalidad proactiva h= acia la adaptaci=C3=B3n. La baja capacidad de innovaci=C3=B3n y la escasa u= tilizaci=C3=B3n de financiamiento externo reflejan una falta de preparaci= =C3=B3n que puede limitar el crecimiento y la estabilidad de estas empresas= . <= /span>6. </span= >Conflicto = de interesesLos autores dec= laran que no existe conflicto de intereses en relaci=C3=B3n con el art=C3= =ADculo presentado.7.= Declaraci=C3=B3n de contribuci=C3=B3n de los au= toresTodos autores contribu= yeron significativamente en la elaboraci=C3=B3n del art=C3=ADculo.</= p>8. &#x= a0; = Costos de financiamiento La= presente investigaci=C3=B3n fue financiada en su totalidad con fondos prop= ios de los autores.9.= Referencias Bibliogr=C3=A1ficas= Banco Central del Ecuador. (2024). Programaci=C3=B3n= Macroecon=C3=B3mica Sector Real 2024-2027 <a href=3D"https://www.fi= nanzas.gob.ec/wp-content/uploads/downloads/2024/04/Programacion-Macroeconom= ica-2024-2027.pdf" style=3D"text-decoration:none">https://www.fin= anzas.gob.ec/wp-content/uploads/downloads/2024/04/Programacion-Macroeconomi= ca-2024-2027.pdf</a>Bola=C3=B1os Mu=C3=B1oz, D. C., & P= el=C3=A1ez Le=C3=B3n, J. D. (2021). Resiliencia organizacional en contexto = de la COVID-19: el caso de dos mipymes colombianas. = Revista Perspectiva Empresarial, 8(2-2), 20= =E2=80=9334. <a href=3D"https://doi.org/10.16967/23898186.739" style= =3D"text-decoration:none">https://doi.org/10.16967/2389818= 6.739</a>C=C3=A1rdenas, M., & Hern=C3=A1ndez, A. (2022). Las repercusio= nes econ=C3=B3micas de la guerra en Ucrania sobre Am=C3=A9rica Latina y el = Caribe. Programa de las Naciones Unidas par= a el Desarrollo (PNUD. <a href=3D"https://www.undp.org/sites/g/f= iles/zskgke326/files/2022-09/PNUDLAC-Policy-Document-Series-29-ES.pdf" styl= e=3D"text-decoration:none">https://www.undp.org/sites/g/fi= les/zskgke326/files/2022-09/PNUDLAC-Policy-Document-Series-29-ES.pdf= </a>Cariolle, J., & L=C3=A9on, F. (2024). Comment Internet a a= id=C3=A9 les entreprises =C3=A0 faire face =C3=A0 la pand=C3=A9mie de COVID= -19. Revue =C3=A9conomique, 75(4), 793=E2=80=93834. <a href=3D"https://shs.cairn.info/revista-revue-economiqu= e-2024-4-page-793?lang=3Des" style=3D"text-decoration:none">https://shs.cairn.info/r= evista-revue-economique-2024-4-page-793?lang=3Des</a><sp= an style=3D"font-family:'Times New Roman'; background-color:#ffff00">Carrer= a Mendoza, M. M., & Di=C3=A9guez Matell=C3=A1n, E. L. (2021). Estimaci= =C3=B3n del ahorro energ=C3=A9tico y alternativas de energ=C3=ADa el=C3=A9c= trica en pymes tur=C3=ADsticas del cant=C3=B3n Jun=C3=ADn. RIGISTUR: Revista Internacional de Gesti=C3=B3n, Innovaci=C3=B3n y S= ostenibilidad Tur=C3=ADstica. 1(1), 36-51. = <a href=3D"https://revistasespam.espam.edu.ec/index.php/rigistur/art= icle/view/256/239" style=3D"text-decoration:none">https://revistasespam.espam.edu.ec= /index.php/rigistur/article/view/256/239</a>Chalen-M=C3=A1= rquez, A., Nieves Vacacela, P. K., & S=C3=A1nchez Maldonado, M. F. (202= 3). Guerra Rusia-Ucrania: Incidencia en los cobros de las exportaciones ban= aneras de El Oro. Polo del Conocimiento. = 80(3), 292=E2=80=93308. <a href=3D"https://dialnet.unirioja.es/servlet= /articulo?codigo=3D9252151" style=3D"text-decoration:none">https://dialnet.unirioja.= es/servlet/articulo?codigo=3D9252151</a>Demuner Flores, M. = del R., Saavedra Garc=C3=ADa, M. L., & Cortes Castillo, M. del R. (2022= ). Rendimiento Empresarial, Resilencia e Innovaci=C3=B3n en PYMES. <= span style=3D"font-family:'Times New Roman'; font-style:italic; background-= color:#ffff00">Investigaci=C3=B3n Administrativa, 51(130), 1-49<= span style=3D"font-family:'Times New Roman'; font-style:italic; background-= color:#ffff00">. <a href=3D"https://www.redalyc.org/articulo.oa?= id=3D456071633003" style=3D"text-decoration:none">https://= www.redalyc.org/articulo.oa?id=3D456071633003</a>Duchek, S.= (2020). Organizational resilience: a capability-based conceptualization. <= /span>Business Research, 13</spa= n>(= 1), 215=E2=80=93246</s= pan>. <a href=3D"https://doi.org/10.1007/s40685-019-0085-7" style=3D"te= xt-decoration:none">https://doi.org/10.1007/s40685-019-008= 5-7</a>Espinoza-Tandazo, K. I., A=C3=B1azco-Aguirre, D. A.,= & Sol=C3=B3rzano-Sol=C3=B3rzano, S. S. (2022). Guerra Rusia-Ucrania: I= ncidencia en el Comercio Exterior Ecuatoriano. Econo= m=C3=ADa y Negocios, 13(2), 109-123.<= span style=3D"font-family:'Times New Roman'"> <a href=3D"https://www= .redalyc.org/journal/6955/695574853007/" style=3D"text-decoration:none"><sp= an class=3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://www.= redalyc.org/journal/6955/695574853007/</a>Galvis Florez, D.= O. (2021). Estrategias para la retenci=C3=B3n de cl= ientes basada en la evaluaci=C3=B3n de la calidad del servicio al cliente p= restado por la empresa de vigilancia y seguridad privada global security lt= da entre los a=C3=B1os 2015 al 2019 [Tesis de maestr=C3=ADa, Universida= d Pontificia Bolivariana, Bogot=C3=A1, Ecuador].</sp= an> </span= ><a href=3D"https://repository.upb.edu.co/bitstream/handle/20.500.11912/993= 3/258_1.pdf?sequence=3D1&isAllowed=3Dy" style=3D"text-decoration:none">= https://r= epository.upb.edu.co/bitstream/handle/20.500.11912/9933/258_1.pdf?sequence= =3D1&isAllowed=3Dy</a>Guerrero S=C3=A1nchez, P., & = Guerrero Grajeda, J. (2023). La gran renuncia, aspectos psicol=C3=B3gicos, = econ=C3=B3micos, y la resiliencia organizacional en EUA y M=C3=A9xico. </sp= an>Revista Iberoamericana de Las Ciencias Sociales y Human= =C3=ADsticas, 12(23), 15-49. <a href= =3D"https://doi.org/10.23913/ricsh.v12i23.300" style=3D"text-decoration:non= e">https://doi.org/10.23913/ricsh.v12i23.300</a></p= >Guerrero S=C3=A1nchez, P., Hern=C3=A1ndez Jaimes, B. G., Bonilla S=C3= =A1nchez, F. de J., S=C3=A1nchez Guevara, I., & Guerrero Grajeda, J. (2= 024). Las estrategias de sobrevivencia de las microempresas en M=C3=A9xico = durante la pandemia. Revista Universidad y Empresa</= span>, 26(46), 1=E2=80=9330. <a href=3D"http= s://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.13581" style=3D"tex= t-decoration:none">https://doi.org/10.12804/revistas.urosa= rio.edu.co/empresa/a.13581</a>Guill=C3=A9n Mondrag=C3=B3n, = I. J., Rend=C3=B3n Trejo, A., & Morales Alquicira, A. (2022). =C2=BFEs = la resistencia organizativa una ventaja competitiva?. Mercados y Negocios, 23(46), 57=E2=80=9382= . <a href=3D"https://doi.org/10.32870/myn.vi46.7670.g6738" style=3D"= text-decoration:none">https://doi.org/10.32870/myn.vi46.7670.g6738</a>Instituto = Nacional de Estad=C3=ADsticas y Censos [INEC]. (2024). Registro Estad=C3=ADstico de Empresas 2023. <a href=3D"https://www.ecuadorencifra= s.gob.ec/documentos/web-inec/Estadisticas_Economicas/Registro_Empresas_Esta= blecimientos/2023/Semestre_I/Evolucion_Historica_REEM.pdf" style=3D"text-de= coration:none">https://www.ecuadorencifras.gob.ec/documentos/web-inec/Estadisticas_E= conomicas/Registro_Empresas_Establecimientos/2023/Semestre_I/Evolucion_Hist= orica_REEM.pdf</a>Mart=C3=ADnez Morales, J., Gonz=C3=A1lez = Mil=C3=A1n, D. de J., & Avila Arce, A. (2024). Resiliencia empresarial = y COVID. Un estudio local para el estado de Chihuahua, M=C3=A9xico. = Revistas Estudios Regionales En Econom=C3=ADa, Poblaci=C3= =B3n y Desarrollo, 14(80). <a href=3D= "https://doi.org/10.20983/epd.2024.80.1" style=3D"text-decoration:none"><sp= an class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; background-c= olor:#ffff00">https://doi.org/10.20983/epd.2024.80.1</a>= Med= ina Delgado, B., Palacios ALvarado, W., & Vergel Ortega, M. (2021). La = capacitaci=C3=B3n laboral como herramienta de mejoramiento empresarial. </s= pan>Revista Boletin Redipe, 10(6), 305-317.<span= style=3D"font-family:'Times New Roman'"> <a href=3D"https://dialnet= .unirioja.es/servlet/articulo?codigo=3D8116466" style=3D"text-decoration:no= ne">https= ://dialnet.unirioja.es/servlet/articulo?codigo=3D8116466</a>Mendieta Bejana, V. A., & Mendoza Saltos, M. F. (2024). Gesti=C3=B3n d= e crisis y resiliencia empresarial: estrategias para afrontar entornos de i= ncertidumbre. MQRInvestigar, 8(3), 979=E2=80=931000. <a href=3D"https://doi.org/10.56048= /mqr20225.8.3.2024.979-1000" style=3D"text-decoration:none">https://doi.org/10.56048/mqr20225.8.3.2024.979-1000</a>Or= tiz Fajardo, H. A., & Erazo =C3=81lvarez, C. A. (2021). Resiliencia emp= resarial en tiempos de pandemia: Retos y desaf=C3=ADos de las microempresas= . Revista Arbitrada Interdisciplinaria Koinon=C3=ADa= , 6(12), 366-398. <a href=3D"https://= doi.org/10.35381/r.k.v6i12.1293" style=3D"text-decoration:none">https://doi.org/10.35381/r.k.v6i12.1293</a>Pachon Urr= ego, M. A. (2020). Empresas reconocidas a nivel mund= ial que quebraron por la pandemia. El Tiempo. <a href=3D"https:/= /www.eltiempo.com/economia/empresas/pandemia-por-coronavirus-empresas-que-s= e-declararon-en-bancarrota-535556" style=3D"text-decoration:none">https://www.eltiempo.com/economia/empresas/pandemia-por-coronavirus= -empresas-que-se-declararon-en-bancarrota-535556</a><spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">Pino Se= ra, Y., & Torralbas Blazquez, A. de L. (2024). Resiliencia en la gesti= =C3=B3n empresarial. Una revisi=C3=B3n te=C3=B3rica. Revista Trans- Disciplinaria de Estudios Sociales y Tecnol=C3=B3gicos</spa= n>,= 4(1), 31=E2=80=9339. <a href=3D"https://doi.org/10.58594/rtest= .v4i1.102" style=3D"text-decoration:none">https://doi.or= g/10.58594/rtest.v4i1.102</a>Sam=C3=A1n Chingay, S. N., Men= doza Alfaro, W. I., Miranda Guerr, M. del P., & Esparza Huamanchumo, R.= M. (2022). Resiliencia y competitividad empresarial: Una revisi=C3=B3n sis= tem=C3=A1tica, per=C3=ADodo 2011 =E2=80=93 2021. Rev= ista de Ciencias Sociales (Ve), XXVIII(3). <a href=3D"https://w= ww.redalyc.org/articulo.oa?id=3D28071865021" style=3D"text-decoration:none"= >https://www.redalyc.org/articulo.oa?id=3D28071865021</spa= n></a>V=C3=A1quiro Capera, J. D. (2023). La resiliencia organizaci= onal, factor clave para lograr la supervivencia empresarial y la creaci=C3= =B3n de valor. Journal Managment & Business Stud= ies, 5(1), 1=E2=80=9313. <a href=3D"https://doi.org/10.32457/j= mabs.v5i1.2020" style=3D"text-decoration:none">https://doi= .org/10.32457/jmabs.v5i1.2020</a>Villamarin Villota, W., Ar= teaga Flores, R., =C3=81lvarez C=C3=A1rdenas, C., & Mero Ch=C3=A1vez, U= . (2020). Resiliencia empresarial: su incidencia en el desarrollo socioecon= =C3=B3mico de la provincia de Manab=C3=AD=E2=80=93Ecuador. Revista Observatorio de La Econom=C3=ADa Latinoamericana<span= style=3D"font-family:'Times New Roman'; background-color:#ffff00">. </span= ><a href=3D"https://www.eumed.net/rev/oel/2020/10/resiliencia-empresarial.h= tml" style=3D"text-decoration:none">https://www.eumed.net/= rev/oel/2020/10/resiliencia-empresarial.html</a>Xia, H., Li= u, M., Wang, P., & Tan, X. (2024). Strategies to enhance the corporate innovation resilience = in digital era: A cross-organizational collaboration perspective<spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">. </spa= n>Heliyon, 10(20). <= a href=3D"https://doi.org/10.1016/j.heliyon.2024.e39132" style=3D"text-deco= ration:none">https://doi.org/10.1016/j.heliyon.2024.e39132= </a>.Zimmering, R. (2022). El trauma latinoamericano y = la guerra en Ucrania. Revista Latinoamericana de Pol= =C3=ADticas y Acci=C3=B3n P=C3=BAblica, 9= (2)= . <a href=3D"https://doi.org/10.17141/mundosplurales.2.2022.5764" st= yle=3D"text-decoration:none">https://doi.org/10.17141/mund= osplurales.2.2022.5764</a><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRg= ABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABAAHoDASIAAhEBAxEB/8Q= AHgAAAwEAAgMBAQAAAAAAAAAABwkKCAQGAAILAQX/xABLEAAABgIABAMBCA4GCwEAAAABAgMEBQ= YHCAAJERITFCEVCjFBUXeRtrcWGSIjJDg5YXFyc6HB8BcYN0KB0RonUlNVWGeGpbHS1f/EABwBA= AIBBQEAAAAAAAAAAAAAAAAHCAECAwUGBP/EADsRAAIBAwIDBAYHBwUAAAAAAAECAwQFEQASBhMh= BzFBUQgiMjdhkRRxc3ahs8EVI0JDgbTwJzaTpOH/2gAMAwEAAhEDEQA/ALGsJ8xjTPYOTawGM87= VJ5ZpBVNuwq9j9p0mxyLpYe1NpFRNyYwjqYcmEQKCMOV8fu9AAQD1wDzzM25ewXjTX61YcyNbMc= zjvJc+0fPqrMOY0sm0QrPmEmcs1SP5OXYlcFKsDKSbu2hlAA3giPURlQ1wKA7E4CH4RzXiz17jB= 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href=3D"mailto:jmquevedor@ube.edu.ec" style=3D"text-decoration:no= ne">jmque= vedor@ube.edu.ec</a></td></tr><tr><td style=3D"width:3.25pt; pad= ding:0pt 5.4pt; vertical-align:top">2</td><td style=3D"width:171.95pt; padding:0pt = 5.4pt; vertical-align:top">Glen Freddy Robayo Cabrera</td><td style=3D"width:10.5pt= ; padding:0pt 5.4pt; vertical-align:top"><img src=3D= "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNC= SVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNz= bJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhb= a0URPzsPQmuY9zzj1nLwcnuU1iQ0f+mzXZe///Wv/aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjm= ZCGjCVhcPHR3q8XrsaVNUITu/KSlu7LFeSpNNZ+57RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU= /Hy8/0W/aA/Xq43r1P3nOCNIFsW2XLleTd648Z/863v3nkjWCL59dp/fWSsfzOXNkShKacvfgnM= RlXjqqqIrwr5vkihyhxbT+K2ne082AAzADZXyPj+wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvd= daJfdwM9HwqYFSa0GO1SrpfucUVUXEZCQcqQtZ0VEU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0e= 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style=3D"text-decoration:none">h= ttps://orcid.org/0009-0006-9195-7423</a></td><td style=3D"paddin= g:0pt; vertical-align:top"></td></tr><tr><td style=3D"width:3.25pt; padding= :0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"4" style=3D"width:370.7pt;= padding:0pt 5.4pt; vertical-align:top">Universidad Bol= ivariana de Ecuador (UBE), Dur=C3=A1n, Ecuador. Universidad de Valencia, Valencia, Espa=C3=B1a.Universidad CienFuegos, Cienfuegos, Cuba. <a href=3D"mailto:gfrobayo@ube.edu.ec" style=3D"text-deco= ration:none">gfrobayo@ube.edu.ec</a> </td></tr><tr style=3D"h= eight:0pt"><td style=3D"width:14.05pt"></td><td style=3D"width:182.75pt"></= td><td style=3D"width:21.3pt"></td><td style=3D"width:177.15pt"></td><td st= yle=3D"width:0.3pt"></td></tr></table> <table style=3D"width:436.35pt;= margin-left:0.25pt; margin-bottom:0pt; padding:0pt; border-collapse:collap= se"><tr><td colspan=3D"3" style=3D"width:156.4pt; padding:0pt 5.4pt; vertic= al-align:top"><a id=3D"_Hlk92186133">&#= xa0;</a>&#= xa0;</td><td colspan=3D"2" style=3D"width:258.35pt; border-top:0= .75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Art=C3=ADculo de I= nvestigaci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gica<spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">Enviado= : Revisado: Aceptado: = Pub= licado:DOI: <a hre= f=3D"https://doi.org/10.33262/cienciadigital.v9il.3282" style=3D"text-decor= ation:none">https://doi.org/10.33262/cienciadigital.v9il</= span>.328= 2</a> </p= ></td></tr><tr style=3D"height:6.55pt"><td colspan=3D"3" style=3D"width:156= .4pt; padding:0pt 5.4pt; vertical-align:top"> <= /td><td colspan=3D"2" style=3D"width:258.35pt; border-bottom:0.75pt solid #= 000000; padding:0pt 5.4pt; vertical-align:top"> </td></tr><tr><td style=3D"width:37.8pt; padding:0p= t 5.4pt; vertical-align:top"> C=C3=ADtese: </td><td style=3D"width:1.55= pt; padding:0pt 5.4pt; vertical-align:top"> </td><td colspan= =3D"2" style=3D"width:358.55pt; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top"> </td><td style=3D"border-top:0.75pt solid #0000= 00; padding:0pt; vertical-align:top"></td></tr><tr style=3D"height:0pt"><td= style=3D"width:48.6pt"></td><td style=3D"width:12.35pt"></td><td style=3D"= width:106.25pt"></td><td style=3D"width:263.1pt"></td><td style=3D"width:6.= 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40" alt=3D"" /> </= p><table style=3D"width:436.35pt; margin-left:0.25pt; margin-bottom:0pt; pa= dding:0pt; border-collapse:collapse"><tr><td style=3D"width:74pt; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:top">Palabras claves: Crisis, desempe=C3=B1o, microempresa, resiliencia, supervivencia.= </td><td co= lspan=3D"2" style=3D"width:4.15pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"> </td><td style=3D"width:321.8pt; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:0pt 5.4pt; vertical-align:top">Resumen: = <sp= an style=3D"font-weight:bold">Introducci=C3=B3n: = Las consecuencias ocasionadas por el virus SARS-CoV-2, l= a guerra en Ucrania, los altos =C3=ADndices de inseguridad y los prolongado= s cortes de energ=C3=ADa provoc=C3=B3 efectos negativos en la econom=C3=ADa= de las empresas ecuatorianas. Obje= tivo: Analizar la resiliencia organizacional como factor clave= para sobrevivir a las crisis <a id=3D"_Hlk191837663">en las m= icroempresas de la ciudad de Loja - Ecuador (2020-2024). </a>Metodolog=C3=ADa: Se utiliz=C3=B3 un= enfoque descriptivo, cuantitativo y transversal, <a id=3D"_Hlk19183= 8959">en el cual participaron 34 propietarios de microempresas= </a>, para medir la capacidad de resiliencia se dise=C3=B1=C3=B3 un c= uestionario para expertos y se aplic=C3=B3 W de Kendall para evaluar el gra= do de concordancia, lo que permite comprender las dificultades y desarrollar es= trategias efectivas para la superaci=C3=B3n de la crisis. Resultados: Los hallazgos revelan una c= lara correlaci=C3=B3n entre la falta de recursos financieros, energ=C3=A9ti= cos, la ausencia de planes de contingencia, la insuficiente capacitaci=C3= =B3n del personal, y la baja adaptabilidad de las microempresas. Concretame= nte, los resultados muestran que estas deficiencias limitan la capacidad de= las empresas para responder eficazmente a las crisis, poniendo en riesgo s= u supervivencia. Conclusi=C3=B3n:</= span> Se concluy=C3=B3 que existe la necesidad urgente de implementar= estrategias para fortalecer la resiliencia organizacional en las microempr= esas, que incluye la capacidad de financiamiento, la diversificaci=C3=B3n d= e fuentes de energ=C3=ADa, el desarrollo de planes de contingencia s=C3=B3l= idos y la inversi=C3=B3n en programas de capacitaci=C3=B3n continua. </span= >=C3=81rea de estudio general:<span= > Administraci=C3=B3n, =C3=81rea de= estudio espec=C3=ADfica: Administraci=C3=B3n y Direcci=C3=B3n= de empresas. Tipo de estudio:</span= > Art=C3=ADculos originales</td></tr><tr><td= colspan=3D"2" style=3D"width:77.2pt; border-top:0.75pt solid #000000; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Keywords: Crisis, performance, microenterprise, resilience, survival.= </td><td style=3D"width:0.95pt; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"= > </td><td style=3D"width:3= 21.8pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000= ; padding:0pt 5.4pt; vertical-align:top">AbstractIntroduction:</sp= an> The consequences caused by the SARS-CoV-= 2 virus, the war in Ukraine, high rates of insecurity and prolonged power o= utages caused negative effects on the economy of Ecuadorian companies. </sp= an>Objectiv= e: To analyze organiza= tional resilience as a key factor for surviving crises in microenterprises = in the city of Loja - Ecuador (2020-2024). Methodology: A descriptive, quantitative and cross-section= al approach was used, in which 34 microenterprise owners participated. To m= easure resilience capacity, an expert questionnaire was designed and Kendal= l's W was applied to evaluate the degree of agreement, which allows underst= anding the difficulties and developing effective strategies to overcome the= crisis. Results: The find= ings reveal a clear correlation between the lack of financial and energy re= sources, the absence of contingency plans, insufficient staff training, and= the low adaptability of microenterprises. Specifically, the results show t= hat these deficiencies limit the capacity of the enterprises to respond eff= ectively to crises, putting their survival at risk. Conclusion: It was concluded that there is an urg= ent need to implement strategies to strengthen organizational resilience in= microenterprises, including financing capacity, diversification of energy = sources, development of sound contingency plans, and investment in continuo= us training programs. General area of study: Management. Specific area of study: Business Administration and Management. </span= >Type of st= udy: Original articles= </td></tr><tr style=3D"height:0pt"><td style= =3D"width:87.6pt"></td><td style=3D"width:3.2pt"></td><td style=3D"width:11= .8pt"></td><td style=3D"width:333.75pt"></td></tr></table>1. Introducci=C3=B3n</= span>= La pandemia ocasionada por el= virus SARS-CoV-2 declarada por la Organizaci=C3=B3n Mundial de la Salud en= 2020 y la guerra en Ucrania que se intensific=C3=B3 en 2022, han tenido un= a repercusi=C3=B3n en la econom=C3=ADa de Am=C3=A9rica Latina, generando re= siliencia en las organizaciones para sobrevivir en el mercado. Seg=C3=BAn <= /span>Duchek (2020) la re= siliencia organizacional es una capacidad esencial que ayuda a las empresas= a fomentar la innovaci=C3=B3n y adaptarse r=C3=A1pidamente a los cambios, = proporcionando una ventaja competitiva sostenible. Sin embargo, se puede ev= idenciar que no todas las organizaciones pueden adaptarse y superar estos e= ventos, en esta perspectiva diario el Tiempo (Pachon, 2020) menciona algunas empresas como Hertz, Jcpenney, Cir= que Du Soleil, Aerom=C3=A9xico, entre otras que no pudieron superar estas a= dversidades de la pandemia y en 2020 se declararon en bancarrota. Para </sp= an>= Pino & Torralbas (2024) la resiliencia es fundamental para la gesti=C3=B3n empresarial, minim= iza las perdidas, mejora la competitividad y el compromiso con los colabora= dores que es determinante para adaptarse a los cambios. Ante esta situaci= =C3=B3n, las organizaciones se ven obligadas a desarrollar mayor resilienci= a y adaptar sus operaciones seg=C3=BAn la demanda de los clientes.</= p>Con referencia a la guerra de Ucrani= a-Rusia en la regi=C3=B3n (Am=C3=A9rica Latina), Zimmering (2022) se=C3=B1ala que la guerra h= a tenido un impacto negativo en las econom=C3=ADas de Am=C3=A9rica Latina, = particularmente en la agricultura, debido a la interrupci=C3=B3n de las cad= enas de suministro y al aumento de los precios de los alimentos. En general= , las exportaciones en los pa=C3=ADses de Latinoam=C3=A9rica se vieron afec= tadas debido al incremento de costos en el transporte, as=C3=AD como baja d= emanda de productos, generando perdidas en la rentabilidad y puestos de tra= bajo.En la misma l=C3=ADnea= C=C3=A1rdenas & Hern=C3=A1ndez (2022) destacan el incremento de 2% en las tasas de infla= ci=C3=B3n del 2022 en comparaci=C3=B3n al 2021, con repercusiones econ=C3= =B3micas y el impacto negativo en la econom=C3=ADa de Am=C3=A9rica Latina, = ocasionando que los bancos centrales aumenten las tasas de inter=C3=A9s, fr= enando el crecimiento econ=C3=B3mico y el consumo privado. Para Ecuador, el impacto de la guerra se ev= idencia en las exportaciones, afectando principalmente la producci=C3=B3n d= e banano y flores. Seg=C3=BAn Espinoza-Tandazo et al. (2022)<spa= n style=3D"font-family:'Times New Roman'"> existe un decrecimiento signific= ativo en las exportaciones de Ecuador a Rusia y Ucrania tras el inicio de l= a guerra, con una disminuci=C3=B3n notable del 6,79% en el primer trimestre= de 2022 en comparaci=C3=B3n con el a=C3=B1o anterior. Asimismo Banco = Central del Ecuador (2= 024) se=C3=B1ala que el Producto Interno Bruto (PIB) experiment=C3=B3 un crecimiento del 6.= 19% entre 2020-2022, sin embargo, esta tendencia tuvo una disminuci=C3=B3n = en 2024, registrando un crecimiento del 2.4%. Esta disminuci=C3=B3n del 3.7= 9% en el PIB refleja la dificultad del pa=C3=ADs para mantener un crecimien= to estable, lo que genera repercusiones en el desempe=C3=B1o econ=C3=B3mico= del pa=C3=ADs.Por otra par= te, Ecuador se ha visto afectado tambi=C3=A9n por factores internos que han= influido negativamente, generando crisis en su econom=C3=ADa. Seg=C3=BAn e= l Instituto Nacional de Estad=C3=ADsticas y = Censos (INEC, 202= 4) la dependencia de fuentes de energ=C3=ADa tradicionales, el deterioro de= la infraestructura energ=C3=A9tica, el incremento del Impuesto al V= alor Agregado (IVA) al 15%, el conflicto armado interno y el aumento de la canast= a b=C3=A1sica de $ 11.97 en diciembre del 2024 frente a diciembre de 2023, = han agravado esta crisis ocasionado disminuci=C3=B3n de las ventas e increm= ento de los costos representando una amenaza para la sostenibilidad de las = microempresas a largo plazo. El presente tr= abajo tiene como objetivo realizar un an=C3=A1lisis de los eventos adversos= ocurridos en el per=C3=ADodo 2020-2024, que han afectado a las microempres= as de la ciudad de Loja y c=C3=B3mo estas han incorporado respuestas =C3=A1= giles para superar las diferentes crisis, estos hechos nos conducen a la im= plementaci=C3=B3n de estrategias de resiliencia organizacional para afronta= r dificultades futuras, que les permita adaptarse a los cambios y desaf=C3= =ADos presentados en este per=C3=ADodo.1.1. Revisi=C3=B3n de la literaturaPara la r= ecolecci=C3=B3n de informaci=C3=B3n se analiz=C3=B3 48 art=C3=ADculos bases= cient=C3=ADficas como; 5 art=C3=ADculos Scopus, 17 SciELO y 31 Google Scho= lar, se ha excluido 32 art=C3=ADculos por no estar relacionados con el tema= de investigaci=C3=B3n, seleccionando as=C3=AD una muestra de 21 estudios q= ue est=C3=A1n directamente con la res= iliencia organizacional y que contribuyen positivamente en el desarrollo de= l presente estudio investigativo. En la Tabla 1 se citan los art=C3=ADculos de investigaci=C3=B3n= utilizados como referencias bibliogr=C3=A1ficas. Tabla 1Estudios hist=C3=B3ricos relacionados con la resilie= ncia organizacional<table style=3D"margin-bottom:0pt; padding:0p= t; border-collapse:collapse"><tr><td style=3D"width:129.2pt; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:middle"> Autor </p= ></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:middle"> Objetivo y Metodolog=C3=ADa= </td><td style=3D"width:132.45pt; border= -top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:middle"> = Principales resultados </td></tr><tr><td style=3D"wid= th:129.2pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top">Ortiz<spa= n> & Erazo (2021)</td><td style=3D"width:131.15pt; border-to= p:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4= pt; vertical-align:top">Propone un plan de resiliencia empre= sarial y aborda los desaf=C3=ADos causados por la pandemia de coronavirus, = para las empresas de Ca=C3=B1ar. </td><td style=3D"width:132.45p= t; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; pad= ding:0pt 5.4pt; vertical-align:top">Analiza tres variables: los ingresos, las medidas de resil= iencia y los resultados empresariales.</td></tr><tr><td style=3D= "width:129.2pt; padding:0pt 5.4pt; vertical-align:top">Mendieta & Mendoza (2024)</s= pan></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= Analiza y eval=C3=BAa las estrategias de gesti=C3=B3n de cri= sis en entornos inciertos.</td><td style=3D"width:132.45pt; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top">La resiliencia se construye a t= rav=C3=A9s de la interacci=C3=B3n con el entorno, las organizaciones deben = desarrollar estructuras =C3=A1giles para la gesti=C3=B3n de crisis. = </td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-a= lign:top">Pino & Torr= albas (2024)</td><td style=3D"width:131.15pt; borde= r-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 5.4pt; vertical-align:top">Describe la influencia de la res= iliencia en la mejora de la gesti=C3=B3n administrativa.</td><td= style=3D"width:132.45pt; border-top:0.75pt solid #000000; border-bottom:0.= 75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">L= as estrategias de resiliencia mejoran la respuesta a los desaf=C3=ADos ines= perados</td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4= pt; vertical-align:top">V= illamarin et al. (2020)</td><td style=3D"width:131.= 15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top">Establecer el impacto= de la resiliencia empresarial en el desarrollo socioecon=C3=B3mico de Mana= b=C3=AD y la crisis que enfrent=C3=B3 en el terremoto de 2016.</= td><td style=3D"width:132.45pt; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">El 47% de las empresas se v= ieron afectadas por la pandemia en Manab=C3=AD. La resiliencia promueve la = adaptaci=C3=B3n y la recuperaci=C3=B3n en situaciones adversas.<= /td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:= top">Sam=C3=A1n<sp= an> et al. (2022)</td><td style=3D"width:131.15pt; border-top:0.= 75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; = vertical-align:top">Analiza el impacto de la resiliencia en = la eficiencia organizacional. Explora futuras l= =C3=ADneas de investigaci=C3=B3n sobre resiliencia y avances tecnol=C3=B3gi= cos.</td><td style=3D"width:132.45pt; border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-alig= n:top">Identifica l= os v=C3=ADnculos entre la resiliencia y la competitividad empresarial. El 9= 3,75% de los estudios se centran en la resiliencia organizacional.</= p></td></tr><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-ali= gn:top">Guill=C3=A9n</spa= n> et al. (2022)</td><td style=3D"width:131.15pt; border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.= 4pt; vertical-align:top">Determina si la resiliencia es una = ventaja competitiva.</td><td style=3D"width:132.45pt; border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:top">La resiliencia es una ventaja competi= tiva para las organizaciones, las empresas que invierten en resiliencia sup= eran a sus competidores durante las crisis.</td></tr><tr><td sty= le=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top">Guerrero et al. (2024)</spa= n></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p= class=3D"Default" style=3D"text-align:justify; line-height:115%; font-size= :10pt">Analiza la capacidad de supervivencia de las microempresas en = M=C3=A9xico.</td><td style=3D"width:132.45pt; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; verti= cal-align:top">La financiaci=C3=B3n fue la =C3=BAnica variab= le positiva para la supervivencia. El ajuste de precios y la entrega a domi= cilio tuvieron un impacto negativo en la supervivencia.</td></tr= ><tr><td style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top">Demuner et al. = (2022)</td><td style=3D"width:131.15pt; border-top:0.75pt solid = #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top">Demuestra la resiliencia como una oportunidad para = las pymes durante las crisis.</td><td style=3D"width:132.45pt; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top">Pymes se adaptaron r=C3=A1pi= damente a los desaf=C3=ADos de la pandemia mediante la innovaci=C3=B3n. Ade= m=C3=A1s, las actividades de alto nivel mejoran las posibilidades de =C3=A9= xito de las pymes.</td></tr><tr><td style=3D"width:129.2pt; padd= ing:0pt 5.4pt; vertical-align:top">Mart=C3=ADnez et al. (2024)</td><td style= =3D"width:131.15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 5.4pt; vertical-align:top">Caracte= riza los niveles de resiliencia empresarial: alto, medio, bajo, ninguno.</s= pan></td><td style=3D"width:132.45pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= El 15% de las empresas tuvieron que despedir empleados debid= o a la COVID-19. El mayor n=C3=BAmero de despidos se produjo en empresas de= m=C3=A1s de 10 a=C3=B1os. Se identific=C3=B3 una probabilidad del 66,09% d= e alta resiliencia. </td></tr><tr><td style=3D"width:129.2pt; pa= dding:0pt 5.4pt; vertical-align:top">Xia et al. (2024)</td><td style=3D"widt= h:131.15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top">Analiza los efe= ctos de la cooperaci=C3=B3n desde perspectivas basadas en el mercado y en l= a ciencia.</td><td style=3D"width:132.45pt; border-top:0.75pt so= lid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertica= l-align:top">La transformaci=C3=B3n digital amplifica el imp= acto positivo de la cooperaci=C3=B3n en la resiliencia. = Existe heterogeneidad espacial en el impacto de la cooperaci= =C3=B3n en la resiliencia a la innovaci=C3=B3n.</td></tr><tr><td= style=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top"><s= pan style=3D"background-color:#ffff00">Bola=C3=B1os & Pel= =C3=A1ez (2021)</td><td style=3D"width:131.15pt; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:top">Analiza el impacto de la COVID-19 en los s= ectores del transporte y el turismo.</td><td style=3D"width:132.= 45pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top">La empresa de transpo= rte mantuvo sus operaciones a pesar de la reducci=C3=B3n de clientes, no su= fri=C3=B3 cambios dr=C3=A1sticos. La empres= a de turismo suspendi=C3=B3 sus actividades durante varios meses e innov=C3= =B3 para generar nuevas fuentes de ingresos.</td></tr><tr><td st= yle=3D"width:129.2pt; padding:0pt 5.4pt; vertical-align:top"><span= style=3D"background-color:#ffff00">V=C3=A1quiro (2023)= </td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Identifica las causas de la corta vida =C3=BAtil de las empresas= hoteleras.</td><td style=3D"width:132.45pt; border-top:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertic= al-align:top">La gesti=C3=B3n financiera ayuda a la superviv= encia durante las crisis. Los altos niveles de deuda reducen la capacidad d= e innovaci=C3=B3n.</td></tr><tr><td style=3D"width:129.2pt; bord= er-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Duchek (2020)</s= pan></td><td style=3D"width:131.15pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= Resalta los principales antecedentes e impulsores de la resi= liencia organizacional y formular propuestas para futuros estudios emp=C3= =ADricos.</td><td style=3D"width:132.45pt; border-top:0.75pt sol= id #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical= -align:top">Destaca que las capacidades de resiliencia son c= omplejas y est=C3=A1n arraigadas en los contextos sociales, influenciadas p= or factores como la disponibilidad de recursos .</td></tr></tabl= e><span= > La variable con la que concuerdan la mayor=C3=ADa de estud= ios es que la resiliencia permite superar las crisis, entre los factores m= =C3=A1s importantes destaca la necesidad de </span= >innovar, adaptarse a la tecnolog=C3=ADa y la motivaci=C3=B3n de los = empleados, esto hace a una empresa resiliente e incrementa las posibilidade= s de =C3=A9xito a largo plazo. Por otra par= te, los estudios analizados indican que la crisis influy=C3=B3 de forma neg= ativa, se mencionan que en tiempos de pandemia un gran porcentaje de empres= as despidieron empleados por falta de liquidez, en otros casos recurrieron = a fuentes de financiamiento externo como =C3=BAnica manera de ser resilient= es a estas adversidades. Adem=C3=A1s, se consider=C3=B3 bibliograf=C3=ADa c= omplementaria, como se muestra a continuaci=C3=B3n en la Tabla 2.Tabla 2</= span>Bibliograf=C3=ADa de estudios complement= arios<table style=3D"margin-bottom:0pt; padding:0pt; border-coll= apse:collapse"><tr><td style=3D"width:136.3pt; border-top:0.75pt solid #000= 000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:= top"> Autor</td><td = style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top">&#x= a0;Objetivo y Metodolog=C3=ADa</td><td = style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top">&#x= a0;Principales resultados= </td></tr><tr><td style=3D"width:136.3pt; border-top:0.75p= t solid #000000; padding:0pt 5.4pt; vertical-align:top">Carrera & Di=C3=A9guez (2021)</td><td s= tyle=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">An= =C3=A1lisis del consumo de energ=C3=ADa en las pymes estudiadas.= </td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Destac=C3=B3 la importancia= de la eficiencia energ=C3=A9tica y las fuentes de energ=C3=ADa alternativa= s para estas empresas.</td></tr><tr><td style=3D"width:136.3pt; = padding:0pt 5.4pt; vertical-align:top"> Medina et al. (2021) </td><td style=3D"width:136.35pt; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ver= tical-align:top">Se centra en identificar las mejoras y los = procesos de baja calidad en estas empresas</td><td style=3D"widt= h:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #00= 0000; padding:0pt 5.4pt; vertical-align:top">Hace hincapi=C3= =A9 en la necesidad de una formaci=C3=B3n eficaz para mejorar las habilidad= es de los empleados y el desempe=C3=B1o de la empresa.</td></tr>= <tr><td style=3D"width:136.3pt; padding:0pt 5.4pt; vertical-align:top">Guerrero & Guerrero (2023)</span= ></td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Examina las relaciones entre el comportamiento social organizac= ional y estructural.</td><td style=3D"width:136.35pt; border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:top">El liderazgo t=C3=B3xico conduce a un= a cultura organizacional negativa, los trabajadores prefieren el trabajo re= moto por su flexibilidad y productividad.</td></tr><tr><td style= =3D"width:136.3pt; padding:0pt 5.4pt; vertical-align:top">Espinoza-Tandazo et al. (2022)</td><td= style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.= 75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">E= val=C3=BAa el impacto de la guerra en los niveles de exportaci=C3=B3n de Ec= uador, centr=C3=A1ndose especialmente en productos clave como los pl=C3=A1t= anos, las flores y los crust=C3=A1ceos, que se comercializan de manera sign= ificativa con Rusia y Ucrania.</td><td style=3D"width:136.35pt; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:0pt 5.4pt; vertical-align:top">Indica una disminuci=C3=B3n= significativa en las exportaciones de Ecuador a Rusia y Ucrania tras el in= icio de la guerra entre Rusia y Ucrania, con una disminuci=C3=B3n notable d= el 6,79% en el primer trimestre de 2022 en comparaci=C3=B3n con el a=C3=B1o= anterior.</td></tr><tr><td style=3D"width:136.3pt; padding:0pt = 5.4pt; vertical-align:top">Chalen<span= > et al. (2023)</td><td style=3D"width:136.35pt; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:top">Analiza los efectos del conflicto en las v= entas y los precios de los pl=C3=A1tanos exportados a Rusia, centr=C3=A1ndo= se especialmente en la reducci=C3=B3n de las fluctuaciones de las ventas y = los precios entre 2021 y 2022</td><td style=3D"width:136.35pt; b= order-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding= :0pt 5.4pt; vertical-align:top">Denota que los exportadores = de banano de la provincia de El Oro han seguido utilizando las transferenci= as internacionales como principal m=C3=A9todo de pago durante el conflicto.= </td></tr><tr><td style=3D"width:136.3pt; padding:0pt 5.4pt; ver= tical-align:top">Cariolle & = L=C3=A9on (2024)</td><td style=3D"width:136.35pt; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:top">Explora el papel del uso de Internet en l= a adaptaci=C3=B3n de las estrategias empresariales en medio de la pandemia<= /span></td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000= ; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top= ">El estudio enfatiza la importancia de abordar las brechas = de adopci=C3=B3n digital para mejorar la resiliencia, particularmente en la= s regiones en desarrollo.</td></tr><tr><td style=3D"width:136.3p= t; padding:0pt 5.4pt; vertical-align:top">Gal= vis (2021)</td><td style=3D"width:136.35pt; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:top">Propone estrategias para mejorar e= l servicio bas=C3=A1ndose en los resultados de la encuesta.</td>= <td style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><spa= n>La investigaci=C3=B3n se centra en mejorar el servicio al cliente en una = empresa de seguridad privada a trav=C3=A9s de propuestas y evaluaciones est= rat=C3=A9gicas</td></tr><tr><td style=3D"width:136.3pt; border-b= ottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Zimmering (2022)</td><td styl= e=3D"width:136.35pt; border-top:0.75pt solid #000000; border-bottom:0.75pt = solid #000000; padding:0pt 5.4pt; vertical-align:top">Analiz= a las actitudes de Am=C3=A9rica Latina ante la guerra de Ucrania.</p= ></td><td style=3D"width:136.35pt; border-top:0.75pt solid #000000; border-= bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Los impactos econ=C3=B3micos de las interrupciones en el suministro= de fertilizantes afectan a la producci=C3=B3n agr=C3=ADcola.</t= d></tr></table> 2.</= span> Metodolog=C3=ADa</sp= an><s= pan style=3D"font-family:'Times New Roman'">La presente investigaci=C3=B3n = se define con un enfoque metodol=C3=B3gico descriptivo, cuantitativo y tran= sversal. Se realiz=C3=B3 el proceso de b=C3=BAsqueda y an=C3=A1lisis de las= fuentes bibliogr=C3=A1ficas en art=C3=ADculos relevantes relacionados espe= c=C3=ADficamente con la resiliencia organizacional. Asimismo, la aplicaci= =C3=B3n de la encuesta se justifica bajo un muestreo no probabil=C3=ADstico= dirigido a 34 representantes de microempresas de la ciudad de Loja de dist= intos sectores econ=C3=B3micos. Para medir la capacidad de resiliencia orga= nizacional de las microempresas, se dise=C3=B1=C3=B3 un cuestionario de pre= guntas en una escala de Likert clasificado en 4 dimensiones: Financiera, Cl= iente, Operacional y Organizacional. La recolecci=C3=B3n de datos se realiz= =C3=B3 de manera digital mediante un formulario en google forms. Para valid= ar la propuesta, se emple=C3=B3 el m=C3=A9todo de W de Kendall, el cual per= miti=C3=B3 medir el grado de concordancia entre las respuestas de siete eva= luadores expertos del microcomercio. 3. &= #xa0; ResultadosLos resultados obtenidos de la evaluaci=C3=B3n de experto= s, indican un alto grado de concordancia relacionadas con las estrategias y= la capacidad de las microempresas para recuperarse de las adversidades. As= imismo, la valoraci=C3=B3n de la propuesta destinada a fortalecer la resili= encia empresarial demostr=C3=B3 su viabilidad.3.1. Propuesta En base a los resul= tados y considerando la revisi=C3=B3n bibliogr=C3=A1fica, nuestra propuesta= se fundamenta en el fortalecimiento de los siguientes componentes de cada = dimensi=C3=B3n analizada: <ol style=3D"margin:0pt; padding-left:= 0pt; list-style-type:lower-latin"><li class=3D"Default" style=3D"margin-lef= t:13.25pt; text-align:justify; line-height:115%; padding-left:8.05pt; font-= size:11pt; font-style:italic"><a id=3D"_Hlk190191852">Dimensi=C3=B3n Financiera</a></li></ol><= p class=3D"Default" style=3D"margin-left:35.45pt; text-indent:-35.45pt; tex= t-align:justify; line-height:115%"><a id=3D"_Hlk189666878"></a><a id=3D"_Hl= k189665729"></a><a id=3D"_Hlk189665949">A= n=C3=A1lisis del impacto econ=C3=B3mico y financiero de las acciones resili= entes ejecutadas:</a>Utilizar herramientas financieras de an=C3= =A1lisis financiero, como indicadores de rentabilidad, indicadores de endeu= damiento, flujo de caja, y margen de contribuci=C3=B3n, son fundamentales p= ara evaluar el desempe=C3=B1o de las acciones antes y despu=C3=A9s de la cr= isis, permitiendo desarrollar estrategias para mejorar la eficiencia y la l= iquidez de la empresa.Renegociar contratos con proveedores para obtener mejores condiciones</spa= n>:<= /p>Para asegurar una respuesta resilie= nte y =C3=A1gil a los cambios del mercado, se propone revisar los contratos= actuales con proveedores e identificar oportunidades de flexibilidad y est= ablecer acuerdos que se ajusten a las nuevas din=C3=A1micas del mercado, lo= que permitir=C3=A1 optimizar el flujo de caja, reducir costos operativos y= a la vez asegurar la continuidad operativa de la empresa.Automatizar procesos como facturaci=C3= =B3n, cobranza y pagos<a id=3D"_Hlk190166981">La automatizaci=C3=B3n de procesos como facturaci=C3=B3n= , cobranza y pagos reduce errores optimizando eficientemente cada operaci= =C3=B3n, mejorando la gesti=C3=B3n del flujo de caja y permite responder a = las necesidades del cliente con mayor rapidez ante cambios inesperados, for= taleciendo la resiliencia organizacional</a>Negociar l=C3=ADneas de cr=C3=A9dito flexibles con i= nstituciones financierasLa negociaci=C3=B3n de cr=C3=A9ditos con = instituciones financieras permite a la empresa contar con recursos econ=C3= =B3micos inmediatos en momentos de incertidumbre, asegurando la continuidad= operativa y la capacidad para afrontar imprevistos, mantenido su estabilid= ad financiera para enfrentar desaf=C3=ADos externos.Destinar un porcentaje = de la utilidad neta para imprevistos:Se sugiere destinar un fond= o de reserva a discreci=C3=B3n de la organizaci=C3=B3n, cabe se=C3=B1alar q= ue este fondo no es arbitrario y seria en relaci=C3=B3n con la capacidad fi= nanciera de cada empresa, destinado a la gesti=C3=B3n de imprevistos o even= tualidades como pandemia, crisis energ=C3=A9ticas, desastres naturales, fal= las en la cadena de suministro o cualquier gasto emergente, permitiendo a l= as microempresas fortalecer su capacidad de resiliencia financiera y operat= iva.<ol start=3D"2" style=3D"margin:0pt; padding-left:0pt; list-= style-type:lower-latin"><li class=3D"Default" style=3D"margin-left:13.25pt;= text-align:justify; line-height:115%; padding-left:15.1pt; font-size:11pt;= font-style:italic">Dimens= i=C3=B3n cliente</li></ol>Validar peri=C3=B3dicamente los procesos de actualiz= aci=C3=B3n de la informaci=C3=B3n de los clientes:Establecer proc= esos de validaci=C3=B3n peri=C3=B3dica de la informaci=C3=B3n permite asegu= rar que los datos de los clientes est=C3=A9n actualizados, esto facilita un= a comunicaci=C3=B3n efectiva y la personalizaci=C3=B3n de la atenci=C3=B3n = para mantener la lealtad de los clientes. Asimismo, fortalece las relacione= s comerciales y mejora la resiliencia organizacional.Mejorar las estrategia= s tecnol=C3=B3gicas para personalizar la atenci=C3=B3n del cliente:<= /p><spa= n>La implementaci=C3=B3n de herramientas con inteligencia artificial es pri= mordial para ofrecer atenci=C3=B3n personalizada a los clientes, la incorpo= raci=C3=B3n de estas tecnolog=C3=ADas permite captar nuevos clientes y fide= lizar a los existentes, adem=C3=A1s de elevar el est=C3=A1ndar de calidad y= el desarrollo sostenible a largo plazo.Implementar pol=C3=ADticas de prote= cci=C3=B3n de datos para los clientes de las microempresas:La pro= tecci=C3=B3n y privacidad del cliente es una obligaci=C3=B3n =C3=A9tica par= a las empresas resilientes, adem=C3=A1s se convierte en un factor diferenci= ador que fortalece la confianza y determina la elecci=C3=B3n del cliente. E= s por ello, que se debe establecer pol=C3=ADticas para el manejo seguro y r= esponsable de la informaci=C3=B3n del cliente.Estrategias con inteligencia = artificial para difundir la marca:Incorporar inteligencia artific= ial como una estrategia para crear resiliencia, permite promover la marca, = a trav=C3=A9s de descuentos y promociones por diferentes redes sociales, em= ail, notificaciones, por medio de un sistema donde los clientes acumulan pu= ntos por interactuar con la marca, compartir contenido o realizar compras, = permitiendo a la empresa posicionarse y ganar espacio en un mercado competi= tivo.<ol start=3D"3" style=3D"margin:0pt; padding-left:0pt; list= -style-type:lower-latin"><li class=3D"Default" style=3D"margin-left:12.63pt= ; text-align:justify; line-height:115%; padding-left:8.67pt; font-size:11pt= ; font-style:italic">Dimen= si=C3=B3n operacional</li></ol>Implementar herramientas de an=C3=A1lisis de dat= os:La implementaci=C3=B3n de herramientas de an=C3=A1lisis de dat= os, son fundamentales para que las microempresas comprendan el comportamien= to de sus clientes y tomar decisiones informadas en la realizaci=C3=B3n de = estrategias, el uso de herramientas de pago o gratuitas como Google Analyti= cs y Tableau, ofrecen funcionalidades que permiten a las empresas medir la = interacci=C3=B3n que tienen con el cliente en la b=C3=BAsqueda de productos= o servicios.Actualizar equipos e instalar un software contable en una nube= :Invertir en actualizaci=C3=B3n de equipos y migraci=C3=B3n a una= nube de datos se convierte en una estrategia fundamental para fortalecer l= a resiliencia organizacional de la empresa, porque garantiza la continuidad= de las operaciones, el acceso remoto a datos y un respaldo seguro de la in= formaci=C3=B3n.Implementar dashboards para monitorear indicadores clave de = desempe=C3=B1o (KPIs):La implementaci=C3=B3n de desbordas permite= monitorear en tiempo real los indicadores clave de desempe=C3=B1o (KPIs), = proporcionando una visi=C3=B3n clara y actualizada del estado de la organiz= aci=C3=B3n, facilitando la identificaci=C3=B3n r=C3=A1pida de anomal=C3=ADa= s o desviaciones que puedan indicar riesgos emergentes.Implementar solucio= nes de energ=C3=ADa alternativa y eficiencia energ=C3=A9tica:La i= mplementaci=C3=B3n de sistemas de energ=C3=ADa alternativos como generadore= s, paneles solares o bater=C3=ADas evita interrupciones en el servicio y tr= ansmite una imagen de confianza a los clientes, es indispensable para mante= ner las ventas y evitar p=C3=A9rdidas econ=C3=B3micas generando ventaja com= petitiva.<ol start=3D"4" style=3D"margin:0pt; padding-left:0pt; = list-style-type:lower-latin"><li class=3D"Default" style=3D"margin-left:13.= 25pt; text-align:justify; line-height:115%; padding-left:8.05pt; font-size:= 11pt; font-style:italic">D= imensi=C3=B3n organizacional</li></ol>= Elaborar un plan de contingencia para dif= erentes tipos de crisis:Estructurar un plan de contingencia para = identificar los posibles riegos que puedan afectar a la empresa, el cual de= be contener los protocolos y acciones a seguir para minimizar el impacto en= una situaci=C3=B3n vulnerable, esto permite a la organizaci=C3=B3n estar m= ejor preparada en situaciones dif=C3=ADciles y adaptarse a los cambios.</sp= an>Prom= over la alfabetizaci=C3=B3n de datos en todos los niveles de la organizaci= =C3=B3n:Invertir en la capacitaci=C3=B3n de los empleados, desde = todos los niveles jer=C3=A1rquicos, para que utilicen los datos de manera e= fectiva, es una estrategia clave para impulsar la resiliencia organizaciona= l. Una empresa con empleados capacitados est=C3=A1 mejor preparada para ada= ptarse y responder r=C3=A1pidamente a los cambios.Desarrollar programas de capacitaci=C3=B3n en habilidades digi= tales para adaptarse al trabajo remoto:Desarrollar programas de c= apacitaci=C3=B3n para los colaboradores como conferencias, talleres, semina= rios o e-learning enfocados en valores organizacionales y gesti=C3=B3n de c= risis para construir una cultura de resiliencia, a trav=C3=A9s de herramien= tas como Zoom, Microsoft Teams y Google Meet, con habilidades para enfrenta= r las crisis y adaptarse positivamente al cambio.Automatizaci=C3=B3n de ope= raciones para reducir la dependencia del trabajo presencial:Imple= mentar tecnolog=C3=ADas para automatizaci=C3=B3n de procesos repetitivos in= crementa la eficiencia operativa y reduce costos en la empresa, generando u= na respuesta positiva en la organizaci=C3=B3n relacionada con la agilidad y= los tiempos de respuesta en la producci=C3=B3n para dar respuestas m=C3=A1= s =C3=A1giles. 3.2. </sp= an> Validaci=C3=B3n de la propuesta </spa= n><= span class=3D"Strong" style=3D"font-weight:normal">La validaci=C3=B3n de lo= s expertos conformados por gerentes y propietarios de microemp= resas del sector servicios y comercio se la realiz=C3=B3 considerando los siguientes crit= erios<a id=3D"_Hlk190193928">, como se muestran en la Tabla 3= .</a>= Tabla 3Escala de medida= <table style=3D"margin-bottom:0pt; padding:0pt; border-collapse:collaps= e"><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-= right:0.75pt solid #000000; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:to= p">Categor=C3=ADa</td><td style=3D"width:209.9pt; = border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; padding:= 0pt 5.4pt 0pt 5.03pt; vertical-align:top">Calificaci=C3=B3n</= span></td></tr><tr><td rowspan=3D"4" style=3D"width:209.9pt; border-top= :0.75pt solid #7f7f7f; border-right:0.75pt solid #000000; border-bottom:0.7= 5pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:top"> Suficiencia (S) </td><td style=3D"width:209.9pt; border-top:0.75pt soli= d #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f= 7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">1. N= o cumple con el criterio </td></tr><tr><td style=3D"width:209.9p= t; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; borde= r-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align= :top">2. Bajo Nivel</td></tr><tr><td style=3D"wid= th:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #0000= 00; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; verti= cal-align:top">3. Moderado nivel </td></tr><tr><t= d style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75= pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt= 5.03pt; vertical-align:top">4. Alto nivel</td></= tr><tr><td rowspan=3D"4" style=3D"width:209.9pt; border-top:0.75pt solid #7= f7f7f; border-right:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7= f; padding:0pt 5.03pt 0pt 5.4pt; vertical-align:top"> <= /span> </s= pan>Claridad (CI)</= p> = </td><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-le= ft:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.= 4pt 0pt 5.03pt; vertical-align:top">1. No cumple con el crit= erio </td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt= solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt soli= d #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top"><span= >2. Bajo Nivel</td></tr><tr><td style=3D"width:209.9pt; border-t= op:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.= 75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">3. Moderado nivel </td></tr><tr><td style=3D"width:209= .9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; bo= rder-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-al= ign:top">4. Alto nivel</td></tr><tr><td rowspan= =3D"4" style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-righ= t:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.0= 3pt 0pt 5.4pt; vertical-align:top"> Coherencia (C)<sp= an style=3D"font-family:'Times New Roman'"> </td><td style= =3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt soli= d #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt= ; vertical-align:top">1. No cumple con el criterio </= p></td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f= ; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; pad= ding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">2. Bajo Niv= el</td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt so= lid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #= 7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">3.= Moderado nivel </td></tr><tr><td style=3D"width:209.9pt; border= -top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:= 0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">4. Alto nivel</td></tr><tr><td rowspan=3D"4" style= =3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; border-right:0.75pt sol= id #000000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.03pt 0pt 5.4p= t; vertical-align:top"> Relevancia (R)</td><td style=3D"wi= dth:209.9pt; border-top:0.75pt solid #7f7f7f; border-left:0.75pt solid #000= 000; border-bottom:0.75pt solid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vert= ical-align:top">1. No cumple con el criterio </td= ></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7f7f; bord= er-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; padding:0= pt 5.4pt 0pt 5.03pt; vertical-align:top">2. Bajo Nivel</span= ></td></tr><tr><td style=3D"width:209.9pt; border-top:0.75pt solid #7f7= f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #7f7f7f; = padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top">3. Moderad= o nivel </td></tr><tr><td style=3D"width:209.9pt; border-top:0.7= 5pt solid #7f7f7f; border-left:0.75pt solid #000000; border-bottom:0.75pt s= olid #7f7f7f; padding:0pt 5.4pt 0pt 5.03pt; vertical-align:top"><s= pan>4. Alto nivel</td></tr></table>Nota: Escala d= e valoraci=C3=B3n El resultado de la evaluaci=C3= =B3n se muestra en la Tabla 4:</spa= n><s= pan style=3D"font-weight:bold">Tabla 4= Datos validaci=C3=B3n propuesta<table style=3D"margin-bottom:0pt= ; padding:0pt; border-collapse:collapse"><tr><td style=3D"width:77.45pt; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:top">Experto</td><td st= yle=3D"width:77.45pt; border-top:0.75pt solid #000000; border-bottom:0.75pt= solid #000000; padding:0pt 5.4pt; vertical-align:top">Sufic= iencia</td><td style=3D"width:77.5pt; border-top:0.75pt solid #0= 00000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-alig= n:top">Claridad</td><td style=3D"width:77.5pt; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:top">Coherencia</td><td= style=3D"width:77.5pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">Rel= evancia</td></tr><tr><td style=3D"width:77.45pt; border-top:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">1</= span></td><td style=3D"width:77.45pt; border-top:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top">3</td><td = style=3D"width:77.5pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; = vertical-align:top">3</td><td style=3D"width:77.5= pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"= >3</td><td style=3D"width:77.5pt; border-top:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top">4</= span></td></tr><tr><td style=3D"width:77.45pt; padding:0pt 5.4pt; verti= cal-align:top">2</td><td style=3D"width:77.45pt; = padding:0pt 5.4pt; vertical-align:top">4</td><td = style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top"><spa= n>4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-a= lign:top">4</td><td style=3D"width:77.5pt; paddin= g:0pt 5.4pt; vertical-align:top">3</td></tr><tr><= td style=3D"width:77.45pt; padding:0pt 5.4pt; vertical-align:top">3</td><td style=3D"width:77.45pt; padding:0pt 5.4pt; vert= ical-align:top">3</td><td style=3D"width:77.5pt; = padding:0pt 5.4pt; vertical-align:top">4</td><td = style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top"><spa= n>4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-a= lign:top">4</td></tr><tr><td style=3D"width:77.45= pt; padding:0pt 5.4pt; vertical-align:top">4</td>= <td style=3D"width:77.45pt; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; verti= cal-align:top">4</td><td style=3D"width:77.5pt; p= adding:0pt 5.4pt; vertical-align:top">3</td><td s= tyle=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top"><span= >4</td></tr><tr><td style=3D"width:77.45pt; padding:0pt 5.4pt; v= ertical-align:top">5</td><td style=3D"width:77.45= pt; padding:0pt 5.4pt; vertical-align:top">3</td>= <td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; verti= cal-align:top">3</td><td style=3D"width:77.5pt; p= adding:0pt 5.4pt; vertical-align:top">3</td></tr>= <tr><td style=3D"width:77.45pt; padding:0pt 5.4pt; vertical-align:top">6</td><td style=3D"width:77.45pt; padding:0pt 5.4pt; = vertical-align:top">3</td><td style=3D"width:77.5= pt; padding:0pt 5.4pt; vertical-align:top">3</td>= <td style=3D"width:77.5pt; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; padding:0pt 5.4pt; verti= cal-align:top">4</td></tr><tr><td style=3D"width:= 77.45pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top">7</td><td style=3D"width:77.45pt; border= -bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">4</td><td style=3D"width:77.5pt; border-bottom:0.75pt s= olid #000000; padding:0pt 5.4pt; vertical-align:top">4</span= ></td><td style=3D"width:77.5pt; border-bottom:0.75pt solid #000000; pa= dding:0pt 5.4pt; vertical-align:top">3</td><td st= yle=3D"width:77.5pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt;= vertical-align:top">3</td></tr></table>Nota: Datos obtenidos de la aplicaci=C3=B3n de la encuesta </= p> La validaci=C3=B3n de la propuesta fue evaluada en los cr= iterios de claridad con un promedio de 3.4, suficiencia con promedio superi= or a 3.4, coherencia obtuvo un promedio de 3.4 y relevancia un promedio de = 3.7. Estos hallazgos sugieren que las estrategias propuestas son viables y = factibles para implementar en el contexto de las microempresas, lo que podr= =C3=ADa fortalecer su capacidad para enfrentar y superar situaciones advers= as, se ha considerado asignaci=C3=B3n de rangos para el c=C3=A1lculo, como = se muestra en la Tabla 5:Tabla 5= Asignaci=C3=B3n de rangos<table style= =3D"margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td style= =3D"width:73.45pt; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:0pt 5.4pt; vertical-align:top">Experto<= /span></td><td style=3D"width:74.55pt; border-top:0.75pt solid #000000;= border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"= >Suficiencia</td><td style=3D"width:73.8pt; borde= r-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 5.4pt; vertical-align:top">Claridad</td><td styl= e=3D"width:74.8pt; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:0pt 5.4pt; vertical-align:top">Coherenc= ia</td><td style=3D"width:74.6pt; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p">Relevancia</td></tr><tr><td style=3D"width:73.= 45pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p">1</td><td style=3D"width:74.55pt; border-top:0= .75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= 6</td><td style=3D"width:73.8pt; border-top:0.75pt solid #000000= ; padding:0pt 5.4pt; vertical-align:top">7</td><t= d style=3D"width:74.8pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt= ; vertical-align:top">6</td><td style=3D"width:74= .6pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p">6</td></tr><tr><td style=3D"width:73.45pt; pad= ding:0pt 5.4pt; vertical-align:top">2</td><td sty= le=3D"width:74.55pt; padding:0pt 5.4pt; vertical-align:top">= 1</td><td style=3D"width:73.8pt; padding:0pt 5.4pt; vertical-ali= gn:top">1</td><td style=3D"width:74.8pt; padding:= 0pt 5.4pt; vertical-align:top">1</td><td style=3D= "width:74.6pt; padding:0pt 5.4pt; vertical-align:top">6</spa= n></td></tr><tr><td style=3D"width:73.45pt; padding:0pt 5.4pt; vertical= -align:top">3</td><td style=3D"width:74.55pt; pad= ding:0pt 5.4pt; vertical-align:top">6</td><td sty= le=3D"width:73.8pt; padding:0pt 5.4pt; vertical-align:top">1= </td><td style=3D"width:74.8pt; padding:0pt 5.4pt; vertical-alig= n:top">1</td><td style=3D"width:74.6pt; padding:0= pt 5.4pt; vertical-align:top">1</td></tr><tr><td = style=3D"width:73.45pt; padding:0pt 5.4pt; vertical-align:top"><sp= an>4</td><td style=3D"width:74.55pt; padding:0pt 5.4pt; vertical= -align:top">1</td><td style=3D"width:73.8pt; padd= ing:0pt 5.4pt; vertical-align:top">1</td><td styl= e=3D"width:74.8pt; padding:0pt 5.4pt; vertical-align:top">6<= /span></td><td style=3D"width:74.6pt; padding:0pt 5.4pt; vertical-align= :top">1</td></tr><tr><td style=3D"width:73.45pt; = padding:0pt 5.4pt; vertical-align:top">5</td><td = style=3D"width:74.55pt; padding:0pt 5.4pt; vertical-align:top"><sp= an>6</td><td style=3D"width:73.8pt; padding:0pt 5.4pt; vertical-= align:top">1</td><td style=3D"width:74.8pt; paddi= ng:0pt 5.4pt; vertical-align:top">6</td><td style= =3D"width:74.6pt; padding:0pt 5.4pt; vertical-align:top">6</= span></td></tr><tr><td style=3D"width:73.45pt; padding:0pt 5.4pt; verti= cal-align:top">6</td><td style=3D"width:74.55pt; = padding:0pt 5.4pt; vertical-align:top">6</td><td = style=3D"width:73.8pt; padding:0pt 5.4pt; vertical-align:top"><spa= n>7</td><td style=3D"width:74.8pt; padding:0pt 5.4pt; vertical-a= lign:top">1</td><td style=3D"width:74.6pt; paddin= g:0pt 5.4pt; vertical-align:top">1</td></tr><tr><= td style=3D"width:73.45pt; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:top">7</td><td style=3D"wid= th:74.55pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical= -align:top">1</td><td 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Observaci=C3=B3n expert= osExperto 1. Implementar= soluciones concretas como sistemas de almacenamiento de energ=C3=ADa el=C3= =A9ctrica mediante la instalaci=C3=B3n de energ=C3=ADa alternativa como bat= er=C3=ADas o paneles solares que no afecte la estabilidad del negocio, adem= =C3=A1s es importante analizar los costos y beneficios para la empresa. </s= pan>Experto 2. Los programas de capacitaci=C3=B3n a desarrollar de= ben incluir tem=C3=A1ticas adecuadas para cada tipo de negocio enfocadas a = motivar el compromiso de los empleados, mejorar habilidades como ventas en = l=C3=ADnea y marketing digital para captar clientes permiten tener resilien= cia organizacional y superar las cris= isExperto 3. Elaborar un plan de contingencia que contenga = informaci=C3=B3n necesaria donde se integre los pasos a seguir en situacion= es de crisis es fundamental para fortalecer la resiliencia organizacional e= n la empresa.Experto 4. La adopci=C3=B3n de tecnolog=C3=ADa= y actualizaci=C3=B3n de equipos incrementa la facilidad para establecer co= nexi=C3=B3n remota con los empleados desde cualquier lugar, permitiendo rea= lizar a tiempo las actividades programadas para fortalecer la resiliencia o= rganizacional en =C3=A9pocas de crisis.Experto 5. La alinea= ci=C3=B3n con los valores de la empresa son pilares fundamentales para que = los negocios resistan y puedan generar respuestas solidas frente a las adve= rsidades de manera efectiva, lo que genera una imagen de marca confiable. P= or otra parte, una cultura organizacional bien definida se convierte en un = diferenciador de la competencia fomentando relaciones duraderas con los cli= entes y colaboradores.Experto 6.</spa= n> Expandir los canales de di= stribuci=C3=B3n y adaptarse a las necesidades individuales de los clientes = aseguran la continuidad de las operaciones frente a posibles interrupciones= , las entregas a domicilio ofrecen comodidad, por otro lado, la atenci=C3= =B3n personalizada demuestra un compromiso con la satisfacci=C3=B3n del cli= ente, lo que permite una mejor adaptabilidad a los cambios bruscos del merc= ado.Experto 7. La seguridad privada desempe=C3=B1a un papel= decisivo en la gesti=C3=B3n de crisis, contribuye a crear un entorno de tr= abajo seguro, la inversi=C3=B3n en seguridad privada ofrece mayor capacidad= de resiliencia para resistir y recuperarse ante eventos adversos, garantiz= ando la continuidad de las operaciones y la protecci=C3=B3n del patrimonio.= Se destacan los resultados = relevantes sin incurrir en repeticiones de informaci=C3=B3n.4. = Discusi=C3=B3n Los resultados del estudio se=C3=B1alan la importancia de las f= uentes de financiamiento externas para la supervivencia y resiliencia de la= s empresas frente a las crisis. Guerrero et al. (2024) el acceso a capital externo se consi= dera como una variable positiva que proporciona liquidez para superar perio= dos de inestabilidad permitiendo a las microempresas mantener sus obligacio= nes y operaciones.La implem= entaci=C3=B3n de energ=C3=ADa alternativa para solucionar los problemas rel= acionados con la operatividad de la empresa tiene un impacto positivo en la= eficiencia, as=C3=AD posibilita actuar r=C3=A1pidamente y dar soluciones i= nmediatas para satisfacer las necesidades del cliente. Seg=C3=BAn Carrera & Di=C3=A9guez (2021<spa= n style=3D"font-family:'Times New Roman'">) la eficiencia energ=C3=A9tica e= s un pilar fundamental para sobrevivir en un mercado cambiante debido a sit= uaciones adversas que enfrentan las empresas, se debe proponer soluciones d= e mejora especialmente en =C3=A1reas espec=C3=ADficas.En cuanto al desarrollo de programas de capaci= taci=C3=B3n para el personal, se puede evidenciar que tiene un impacto tran= sformador en los valores y el compromiso de los colaboradores con la empres= a para responder eficientemente a los cambios. La capacitaci=C3=B3n genera = un valor agregado en los empleados como en la empresa, favoreciendo la tran= smisi=C3=B3n de conocimientos que son aplicados espec=C3=ADficamente a cada= =C3=A1rea de la organizaci=C3=B3n, destacando la importancia de la inversi= =C3=B3n en el desarrollo de los empleados a trav=C3=A9s de la formaci=C3=B3= n para el crecimiento empresarial (Medina et al., 2021).La utilizaci=C3=B3n de herramientas tecnol=C3=B3gicas para incre= mentar las ventas es primordial en la actualidad, implementar, actualizar e= innovar en conocimientos constantemente es una necesidad imperativa para q= ue las empresas se adapten a las condiciones cambiantes e imprevistos. Las = empresas con sitios web antes de la pandemia demostraron mayor capacidad de= adaptaci=C3=B3n, con probabilidades altas de permanecer operativas durante= la crisis sanitaria, las interacciones en l=C3=ADnea ayudan a mitigar los = impactos y mejoran la resiliencia organizacional frente a un cambio brusco = en la econom=C3=ADa (Cariolle & L=C3=A9on, 2024).La seguridad es una medida efectiva para la resiliencia organizaci= onal, atrae m=C3=A1s clientes ya que se sienten motivados por la seguridad = y confianza, permite a la empresa afrontar mejor los desaf=C3=ADos y recupe= rarse r=C3=A1pidamente de las adversidades.Los resultados de este estudio demuestran que la seguridad = es un pilar fundamental para la resiliencia organizacional. Al implementar = medidas de seguridad las empresas protegen sus activos, al personal y a sus= clientes, creando un ambiente de confianza y fortaleciendo su reputaci=C3= =B3n. La dificultad para retener clientes est=C3=A1 estrechamente ligada a = la percepci=C3=B3n de seguridad. Por lo tanto, es imprescindible desarrolla= r e implementar estrategias de seguridad que fortalezcan la lealtad de los = clientes (Galvis, = 2021).<spa= n style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171">= 5. Conclusion= esEn bas= e a la investigaci=C3=B3n realizada se logr=C3=B3 determinar:Las microempresas enfr= entan m=C3=BAltiples desaf=C3=ADos que afectan su capacidad de recuperaci= =C3=B3n ante crisis, se identifican estrategias pr=C3=A1cticas, como el acc= eso a financiamiento y la capacitaci=C3=B3n en marketing digital, es determ= inante para mejorar su resiliencia organizacional. Estas medidas permiten a= daptarse a los cambios del entorno, facilitando la retenci=C3=B3n de client= es que es esencial para su sostenibilidad a largo plazo.La disminuci=C3=B3n de la b= ase de clientes es un desaf=C3=ADo para la resiliencia organizacional de la= s microempresas durante las crisis. Asimismo, la adopci=C3=B3n de herramien= tas tecnol=C3=B3gicas, como promociones y ofertas a trav=C3=A9s de platafor= mas digitales como Facebook, Instagram y correo electr=C3=B3nico han sido u= na estrategia clave para mitigar este impacto. La inversi=C3=B3n en tecnolo= g=C3=ADa y la comprensi=C3=B3n de las necesidades del cliente a trav=C3=A9s= de estos canales se presentan como factores determinantes para la superviv= encia y el crecimiento de las microempresas frente a futuras adversidades</= span>La mayor p= arte de las microempresas encuestadas carecen de planes de contingencia, es= ta falta de preparaci=C3=B3n ante crisis puede tener consecuencias catastr= =C3=B3ficas, ya que son susceptibles a los impactos negativos en su estabil= idad y crecimiento, el desconocimiento de posibles riesgos impide desarroll= ar estrategias para fortalecer la resiliencia de los negocios ante posibles= emergencias. Un 88% de las empresas evidencian la ausencia de planes de co= ntingencia, lo que representa una necesidad de implementar programas de for= maci=C3=B3n que preparen a los empresarios para enfrentar las crisis. Inver= tir en recursos humanos y tecnol=C3=B3gicos se convierte en una prioridad p= ara fomentar una cultura organizacional resiliente.<sp= an style=3D"font-family:'Times New Roman'">Los resultados indican que una g= ran parte de las microempresas se siente poco preparada para enfrentar cris= is, lo que representa la urgencia de desarrollar una mentalidad proactiva h= acia la adaptaci=C3=B3n. La baja capacidad de innovaci=C3=B3n y la escasa u= tilizaci=C3=B3n de financiamiento externo reflejan una falta de preparaci= =C3=B3n que puede limitar el crecimiento y la estabilidad de estas empresas= . <= /span>6. </span= >Conflicto = de interesesLos autores dec= laran que no existe conflicto de intereses en relaci=C3=B3n con el art=C3= =ADculo presentado.7.= Declaraci=C3=B3n de contribuci=C3=B3n de los au= toresTodos autores contribu= yeron significativamente en la elaboraci=C3=B3n del art=C3=ADculo.</= p>8. &#x= a0; = Costos de financiamiento La= presente investigaci=C3=B3n fue financiada en su totalidad con fondos prop= ios de los autores.9.= Referencias Bibliogr=C3=A1ficas= Banco Central del Ecuador. (2024). Programaci=C3=B3n= Macroecon=C3=B3mica Sector Real 2024-2027 <a href=3D"https://www.fi= nanzas.gob.ec/wp-content/uploads/downloads/2024/04/Programacion-Macroeconom= ica-2024-2027.pdf" style=3D"text-decoration:none">https://www.fin= anzas.gob.ec/wp-content/uploads/downloads/2024/04/Programacion-Macroeconomi= ca-2024-2027.pdf</a>Bola=C3=B1os Mu=C3=B1oz, D. C., & P= el=C3=A1ez Le=C3=B3n, J. D. (2021). Resiliencia organizacional en contexto = de la COVID-19: el caso de dos mipymes colombianas. = Revista Perspectiva Empresarial, 8(2-2), 20= =E2=80=9334. <a href=3D"https://doi.org/10.16967/23898186.739" style= =3D"text-decoration:none">https://doi.org/10.16967/2389818= 6.739</a>C=C3=A1rdenas, M., & Hern=C3=A1ndez, A. (2022). Las repercusio= nes econ=C3=B3micas de la guerra en Ucrania sobre Am=C3=A9rica Latina y el = Caribe. Programa de las Naciones Unidas par= a el Desarrollo (PNUD. <a href=3D"https://www.undp.org/sites/g/f= iles/zskgke326/files/2022-09/PNUDLAC-Policy-Document-Series-29-ES.pdf" styl= e=3D"text-decoration:none">https://www.undp.org/sites/g/fi= les/zskgke326/files/2022-09/PNUDLAC-Policy-Document-Series-29-ES.pdf= </a>Cariolle, J., & L=C3=A9on, F. (2024). Comment Internet a a= id=C3=A9 les entreprises =C3=A0 faire face =C3=A0 la pand=C3=A9mie de COVID= -19. Revue =C3=A9conomique, 75(4), 793=E2=80=93834. <a href=3D"https://shs.cairn.info/revista-revue-economiqu= e-2024-4-page-793?lang=3Des" style=3D"text-decoration:none">https://shs.cairn.info/r= evista-revue-economique-2024-4-page-793?lang=3Des</a><sp= an style=3D"font-family:'Times New Roman'; background-color:#ffff00">Carrer= a Mendoza, M. M., & Di=C3=A9guez Matell=C3=A1n, E. L. (2021). Estimaci= =C3=B3n del ahorro energ=C3=A9tico y alternativas de energ=C3=ADa el=C3=A9c= trica en pymes tur=C3=ADsticas del cant=C3=B3n Jun=C3=ADn. RIGISTUR: Revista Internacional de Gesti=C3=B3n, Innovaci=C3=B3n y S= ostenibilidad Tur=C3=ADstica. 1(1), 36-51. = <a href=3D"https://revistasespam.espam.edu.ec/index.php/rigistur/art= icle/view/256/239" style=3D"text-decoration:none">https://revistasespam.espam.edu.ec= /index.php/rigistur/article/view/256/239</a>Chalen-M=C3=A1= rquez, A., Nieves Vacacela, P. K., & S=C3=A1nchez Maldonado, M. F. (202= 3). Guerra Rusia-Ucrania: Incidencia en los cobros de las exportaciones ban= aneras de El Oro. Polo del Conocimiento. = 80(3), 292=E2=80=93308. <a href=3D"https://dialnet.unirioja.es/servlet= /articulo?codigo=3D9252151" style=3D"text-decoration:none">https://dialnet.unirioja.= es/servlet/articulo?codigo=3D9252151</a>Demuner Flores, M. = del R., Saavedra Garc=C3=ADa, M. L., & Cortes Castillo, M. del R. (2022= ). Rendimiento Empresarial, Resilencia e Innovaci=C3=B3n en PYMES. <= span style=3D"font-family:'Times New Roman'; font-style:italic; background-= color:#ffff00">Investigaci=C3=B3n Administrativa, 51(130), 1-49<= span style=3D"font-family:'Times New Roman'; font-style:italic; background-= color:#ffff00">. <a href=3D"https://www.redalyc.org/articulo.oa?= id=3D456071633003" style=3D"text-decoration:none">https://= www.redalyc.org/articulo.oa?id=3D456071633003</a>Duchek, S.= (2020). Organizational resilience: a capability-based conceptualization. <= /span>Business Research, 13</spa= n>(= 1), 215=E2=80=93246</s= pan>. <a href=3D"https://doi.org/10.1007/s40685-019-0085-7" style=3D"te= xt-decoration:none">https://doi.org/10.1007/s40685-019-008= 5-7</a>Espinoza-Tandazo, K. I., A=C3=B1azco-Aguirre, D. A.,= & Sol=C3=B3rzano-Sol=C3=B3rzano, S. S. (2022). Guerra Rusia-Ucrania: I= ncidencia en el Comercio Exterior Ecuatoriano. Econo= m=C3=ADa y Negocios, 13(2), 109-123.<= span style=3D"font-family:'Times New Roman'"> <a href=3D"https://www= .redalyc.org/journal/6955/695574853007/" style=3D"text-decoration:none"><sp= an class=3D"Hyperlink" style=3D"font-family:'Times New Roman'">https://www.= redalyc.org/journal/6955/695574853007/</a>Galvis Florez, D.= O. (2021). Estrategias para la retenci=C3=B3n de cl= ientes basada en la evaluaci=C3=B3n de la calidad del servicio al cliente p= restado por la empresa de vigilancia y seguridad privada global security lt= da entre los a=C3=B1os 2015 al 2019 [Tesis de maestr=C3=ADa, Universida= d Pontificia Bolivariana, Bogot=C3=A1, Ecuador].</sp= an> </span= ><a href=3D"https://repository.upb.edu.co/bitstream/handle/20.500.11912/993= 3/258_1.pdf?sequence=3D1&isAllowed=3Dy" style=3D"text-decoration:none">= https://r= epository.upb.edu.co/bitstream/handle/20.500.11912/9933/258_1.pdf?sequence= =3D1&isAllowed=3Dy</a>Guerrero S=C3=A1nchez, P., & = Guerrero Grajeda, J. (2023). La gran renuncia, aspectos psicol=C3=B3gicos, = econ=C3=B3micos, y la resiliencia organizacional en EUA y M=C3=A9xico. </sp= an>Revista Iberoamericana de Las Ciencias Sociales y Human= =C3=ADsticas, 12(23), 15-49. <a href= =3D"https://doi.org/10.23913/ricsh.v12i23.300" style=3D"text-decoration:non= e">https://doi.org/10.23913/ricsh.v12i23.300</a></p= >Guerrero S=C3=A1nchez, P., Hern=C3=A1ndez Jaimes, B. G., Bonilla S=C3= =A1nchez, F. de J., S=C3=A1nchez Guevara, I., & Guerrero Grajeda, J. (2= 024). Las estrategias de sobrevivencia de las microempresas en M=C3=A9xico = durante la pandemia. Revista Universidad y Empresa</= span>, 26(46), 1=E2=80=9330. <a href=3D"http= s://doi.org/10.12804/revistas.urosario.edu.co/empresa/a.13581" style=3D"tex= t-decoration:none">https://doi.org/10.12804/revistas.urosa= rio.edu.co/empresa/a.13581</a>Guill=C3=A9n Mondrag=C3=B3n, = I. J., Rend=C3=B3n Trejo, A., & Morales Alquicira, A. (2022). =C2=BFEs = la resistencia organizativa una ventaja competitiva?. Mercados y Negocios, 23(46), 57=E2=80=9382= . <a href=3D"https://doi.org/10.32870/myn.vi46.7670.g6738" style=3D"= text-decoration:none">https://doi.org/10.32870/myn.vi46.7670.g6738</a>Instituto = Nacional de Estad=C3=ADsticas y Censos [INEC]. (2024). Registro Estad=C3=ADstico de Empresas 2023. <a href=3D"https://www.ecuadorencifra= s.gob.ec/documentos/web-inec/Estadisticas_Economicas/Registro_Empresas_Esta= blecimientos/2023/Semestre_I/Evolucion_Historica_REEM.pdf" style=3D"text-de= coration:none">https://www.ecuadorencifras.gob.ec/documentos/web-inec/Estadisticas_E= conomicas/Registro_Empresas_Establecimientos/2023/Semestre_I/Evolucion_Hist= orica_REEM.pdf</a>Mart=C3=ADnez Morales, J., Gonz=C3=A1lez = Mil=C3=A1n, D. de J., & Avila Arce, A. (2024). Resiliencia empresarial = y COVID. Un estudio local para el estado de Chihuahua, M=C3=A9xico. = Revistas Estudios Regionales En Econom=C3=ADa, Poblaci=C3= =B3n y Desarrollo, 14(80). <a href=3D= "https://doi.org/10.20983/epd.2024.80.1" style=3D"text-decoration:none"><sp= an class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; background-c= olor:#ffff00">https://doi.org/10.20983/epd.2024.80.1</a>= Med= ina Delgado, B., Palacios ALvarado, W., & Vergel Ortega, M. (2021). La = capacitaci=C3=B3n laboral como herramienta de mejoramiento empresarial. </s= pan>Revista Boletin Redipe, 10(6), 305-317.<span= style=3D"font-family:'Times New Roman'"> <a href=3D"https://dialnet= .unirioja.es/servlet/articulo?codigo=3D8116466" style=3D"text-decoration:no= ne">https= ://dialnet.unirioja.es/servlet/articulo?codigo=3D8116466</a>Mendieta Bejana, V. A., & Mendoza Saltos, M. F. (2024). Gesti=C3=B3n d= e crisis y resiliencia empresarial: estrategias para afrontar entornos de i= ncertidumbre. MQRInvestigar, 8(3), 979=E2=80=931000. <a href=3D"https://doi.org/10.56048= /mqr20225.8.3.2024.979-1000" style=3D"text-decoration:none">https://doi.org/10.56048/mqr20225.8.3.2024.979-1000</a>Or= tiz Fajardo, H. A., & Erazo =C3=81lvarez, C. A. (2021). Resiliencia emp= resarial en tiempos de pandemia: Retos y desaf=C3=ADos de las microempresas= . Revista Arbitrada Interdisciplinaria Koinon=C3=ADa= , 6(12), 366-398. <a href=3D"https://= doi.org/10.35381/r.k.v6i12.1293" style=3D"text-decoration:none">https://doi.org/10.35381/r.k.v6i12.1293</a>Pachon Urr= ego, M. A. (2020). Empresas reconocidas a nivel mund= ial que quebraron por la pandemia. El Tiempo. <a href=3D"https:/= /www.eltiempo.com/economia/empresas/pandemia-por-coronavirus-empresas-que-s= e-declararon-en-bancarrota-535556" style=3D"text-decoration:none">https://www.eltiempo.com/economia/empresas/pandemia-por-coronavirus= -empresas-que-se-declararon-en-bancarrota-535556</a><spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">Pino Se= ra, Y., & Torralbas Blazquez, A. de L. (2024). Resiliencia en la gesti= =C3=B3n empresarial. Una revisi=C3=B3n te=C3=B3rica. Revista Trans- Disciplinaria de Estudios Sociales y Tecnol=C3=B3gicos</spa= n>,= 4(1), 31=E2=80=9339. <a href=3D"https://doi.org/10.58594/rtest= .v4i1.102" style=3D"text-decoration:none">https://doi.or= g/10.58594/rtest.v4i1.102</a>Sam=C3=A1n Chingay, S. N., Men= doza Alfaro, W. I., Miranda Guerr, M. del P., & Esparza Huamanchumo, R.= M. (2022). Resiliencia y competitividad empresarial: Una revisi=C3=B3n sis= tem=C3=A1tica, per=C3=ADodo 2011 =E2=80=93 2021. Rev= ista de Ciencias Sociales (Ve), XXVIII(3). <a href=3D"https://w= ww.redalyc.org/articulo.oa?id=3D28071865021" style=3D"text-decoration:none"= >https://www.redalyc.org/articulo.oa?id=3D28071865021</spa= n></a>V=C3=A1quiro Capera, J. D. (2023). La resiliencia organizaci= onal, factor clave para lograr la supervivencia empresarial y la creaci=C3= =B3n de valor. Journal Managment & Business Stud= ies, 5(1), 1=E2=80=9313. <a href=3D"https://doi.org/10.32457/j= mabs.v5i1.2020" style=3D"text-decoration:none">https://doi= .org/10.32457/jmabs.v5i1.2020</a>Villamarin Villota, W., Ar= teaga Flores, R., =C3=81lvarez C=C3=A1rdenas, C., & Mero Ch=C3=A1vez, U= . (2020). Resiliencia empresarial: su incidencia en el desarrollo socioecon= =C3=B3mico de la provincia de Manab=C3=AD=E2=80=93Ecuador. Revista Observatorio de La Econom=C3=ADa Latinoamericana<span= style=3D"font-family:'Times New Roman'; background-color:#ffff00">. </span= ><a href=3D"https://www.eumed.net/rev/oel/2020/10/resiliencia-empresarial.h= tml" style=3D"text-decoration:none">https://www.eumed.net/= rev/oel/2020/10/resiliencia-empresarial.html</a>Xia, H., Li= u, M., Wang, P., & Tan, X. (2024). Strategies to enhance the corporate innovation resilience = in digital era: A cross-organizational collaboration perspective<spa= n style=3D"font-family:'Times New Roman'; background-color:#ffff00">. </spa= n>Heliyon, 10(20). <= a href=3D"https://doi.org/10.1016/j.heliyon.2024.e39132" style=3D"text-deco= ration:none">https://doi.org/10.1016/j.heliyon.2024.e39132= </a>.Zimmering, R. (2022). El trauma latinoamericano y = la guerra en Ucrania. Revista Latinoamericana de Pol= =C3=ADticas y Acci=C3=B3n P=C3=BAblica, 9= (2)= . <a href=3D"https://doi.org/10.17141/mundosplurales.2.2022.5764" st= yle=3D"text-decoration:none">https://doi.org/10.17141/mund= osplurales.2.2022.5764</a><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRg= ABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABAAHoDASIAAhEBAxEB/8Q= AHgAAAwEAAgMBAQAAAAAAAAAABwkKCAQGAAILAQX/xABLEAAABgIABAMBCA4GCwEAAAABAgMEBQ= YHCAAJERITFCEVCjFBUXeRtrcWGSIjJDg5YXFyc6HB8BcYN0KB0RonUlNVWGeGpbHS1f/EABwBA= AIBBQEAAAAAAAAAAAAAAAAHCAECAwUGBP/EADsRAAIBAwIDBAYHBwUAAAAAAAECAwQFEQASBhMh= BzFBUQgiMjdhkRRxc3ahs8EVI0JDgbTwJzaTpOH/2gAMAwEAAhEDEQA/ALGsJ8xjTPYOTawGM87= VJ5ZpBVNuwq9j9p0mxyLpYe1NpFRNyYwjqYcmEQKCMOV8fu9AAQD1wDzzM25ewXjTX61YcyNbMc= zjvJc+0fPqrMOY0sm0QrPmEmcs1SP5OXYlcFKsDKSbu2hlAA3giPURlQ1wKA7E4CH4RzXiz17jB= 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