Gestión Tecnológica (AI) Aplicada a los Procesos de Selección y Reclutamiento para Pequeñas y Medianas Empresas del Sector Confección de la Ciudad De Bogotá D.C

Abstract

Micro, small, and medium-sized enterprises (MSMEs) are pivotal to the business landscape of Latin America, comprising approximately 12.9 million enterprises in the region. Despite their widespread presence, their contribution to employment and GDP varies. In 2019, SMEs contributed 65% to employment and 35% to GDP in Colombia, underscoring their vital role in fostering competition and entrepreneurial initiative in the economy.

Despite their significance in generating formal employment, MSMEs in Latin America face challenges in human resource management, particularly in recruitment and personnel selection. Limited economic resources and access to adequate tools constrain their ability to effectively hire talent, often resorting to informal methods.

The 2020 health crisis exacerbated the situation for MSMEs, exposing deficiencies in value chains and the lack of digital tools to maintain smooth operations. The adoption of technologies such as artificial intelligence (AI) is deemed crucial to enhancing the resilience and competitiveness of these enterprises in a rapidly changing environment.

In the Colombian context, MSMEs are a vital force for economic growth, especially in areas like Bogotá, where they play a significant role across various sectors. However, they face similar obstacles in implementing efficient selection and recruitment systems, exacerbated by the emergence of remote work.

The integration of artificial intelligence into recruitment and selection phases can automate and optimize these processes, reducing biases and enhancing efficiency. Industrial engineers play a crucial role in leading this integration, ensuring ethical and effective adoption of AI in MSMEs.

The gap between the socio-economic importance of MSMEs and their contribution to GDP presents an urgent challenge that can be addressed through the introduction of technological solutions, especially AI, in recruitment and selection. This could bolster the competitiveness and resilience of MSMEs, unleashing a new paradigm of economic and social progress in the region.