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Published in:
2022 | OriginalPaper | Chapter
System of Human Management Processes to Improve the Predictors of Staff Turnover in SMEs Dedicated to the Service Sector
Authors : Grecia Morales-Rojas, Kaduo Uchida-Ore, Fernando Sotelo, José Rojas
Published in: Human Interaction, Emerging Technologies and Future Systems V
Publisher: Springer International Publishing
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Abstract
Staff turnover is a consistent threat for companies, as the cost overrun generated by each rotated employee may be between 80% and 130% of an average salary. In Peru, small and medium-sized companies in the service sector have the highest turnover rate (19%). Therefore, it is necessary to strengthen the management of human talent within such types of enterprises and establish relevant mechanisms to curb or reduce the significant predictors of staff turnover. Thus, this paper proposes a system composed of three processes: Workload Distribution, Professional Growth and Development, Compensation and Rewards. For the conceptual validation, experts agree that the probability of success of the expected results of the system is greater than 75%. It can be concluded from this that the proposed system would reduce the probability of employees of SMEs in the service industry leaving the workplace.