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Revista San Gregorio

On-line version ISSN 2528-7907Print version ISSN 1390-7247


URBINA NAJERA, Argelia Berenice  and  HERNANDEZ CALVA, Julio César. Reducing stress in technology service company personnel during the COVID-19 pandemic by apply clustering. Revista San Gregorio [online]. 2022, vol.1, n.50, pp.36-57. ISSN 2528-7907.

In recent years, companies live with generational diversity within their work environment, which is one reason that triggers various conflicts. The study's objective is to develop a web-based system that allows immediate actions to be taken to reduce stress in work teams and increase employee satisfaction within a company that provides IT consulting services located in Mexico City with a work team of 112 people. A 50-question work climate questionnaire was administered to all staff and a Nielsen usability test, using the k-means algorithm to create groups based on the generation to which each individual belongs. The results allowed the administrative area to create a strategy to reduce the stress generated by the isolation of COVID-19, identifying that this application contributes in a sensible way to prevent or reduce stress

Keywords : Machine Learning; Multi-Generational; Organizational environment; Stress; K-Means.

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