Recommendation system to optimise administrative management and fulfil tax obligations in the Machalilla Taxi Company
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Abstract
Introduction: The research is focused on how to improve the administrative management of tax compliance at the Machalilla Executive Taxi Company in a way that has an impact on improving operational efficiency and decision making in the company. The development of new technologies and new developments in AI become useful tools in the search for solutions to these types of problems. Recommendation systems based on the legal rules associated with tax obligations become a practical solution to a real problem. Objective: Optimise the administrative management of tax compliance at the Machalilla Executive Taxi Company to improve operational efficiency and decision making with the use of a recommendation system. Methodology: The research uses a qualitative approach, with a descriptive, retrospective and non-experimental design. The Machalilla Taxi Company located in Puerto López, Ecuador, is used as the application scenario. Various scientific methods are applied, such as analytical-synthetic, inductive-deductive and historical-logical. Empirical methods are also used, such as documentary analysis, the survey to find out the criteria of the contributors and the statistical method to analyses the results of the surveys. Results: A recommendation system is developed to optimize the administrative management for the fulfilment of tax obligations in the Machalilla Executive Taxi Company. Conclusion: The proposed system helps to optimize taxpayers' tax payments, payment control and tax culture, and optimizes the Company's administrative management. Type of study: Original articles
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