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Title: Uso del Big Data en la evaluación de empleados de pymes del sector servicios en España. Un acercamiento a los trabajadores estratégicos que desempeñan sus labores con una mínima supervisión presencial
Author: Bravo Bañasco, Sergio
Tutor: Zamarreño Méndez, Fabio
Abstract: This essay has the goal of researching the work performance in Spanish Small and Medium-Sized Enterprises (SME) belonging to the service sector that employ people who work under minimal supervision. With less supervision, the use of Big Data in these companies to improve their human resources (HR) management is studied. The hypothesis says that Spanish service sector SME do not apply work performance assessments. It is also said that the physical supervision level influences work performance. This means that a reduction of physical supervision is related to a lower performance. In order to research, there was a systematic review of scientific articles regarding human resources management, assessment and technology. Moreover, field work was conducted using quantitative, qualitative and mixed methodologies. Eighty-three surveys and eight interviews were conducted with SME employees and managers from big companies (public and private) within Spain and the United States. Results show a connection between the level of physical supervision and work performance. Besides, there is managers´ willingness to be assessed by an outsourced HR team regarding work performance. It also shows that Big Data is largely an unknown concept for SME, but for what they do know, there are no significant concerns. Therefore, it is proposed a software application to assess employees based on Big Data and HR reports.
Keywords: human resources
big data
core employee
Document type: info:eu-repo/semantics/masterThesis
Issue Date: Jun-2023
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