Title
System of Human Management Processes to Improve the Predictors of Staff Turnover in SMEs Dedicated to the Service Sector
Date Issued
01 January 2022
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Springer Science and Business Media Deutschland GmbH
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.
Start page
1227
End page
1234
Volume
319
Language
English
OCDE Knowledge area
Negocios, Administración Ingeniería industrial
Scopus EID
2-s2.0-85115613192
Source
Lecture Notes in Networks and Systems
Resource of which it is part
Lecture Notes in Networks and Systems
ISSN of the container
23673370
ISBN of the container
9783030855390
Conference
5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and 6th International Conference on Human Interaction and Emerging Technologies: Future Systems, IHIET-FS 2021 Virtual, Online 27 August 2021 through 29 August 2021
Sources of information: Directorio de Producción Científica Scopus