TY - GEN
T1 - System of Human Management Processes to Improve the Predictors of Staff Turnover in SMEs Dedicated to the Service Sector
AU - Morales-Rojas, Grecia
AU - Uchida-Ore, Kaduo
AU - Sotelo, Fernando
AU - Rojas, José
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Compensation and rewards
KW - Human resource management
KW - Professional Growth and Development
KW - SME
KW - Staff turnover
KW - Workload distribution
UR - https://www.scopus.com/pages/publications/85115613192
U2 - 10.1007/978-3-030-85540-6_157
DO - 10.1007/978-3-030-85540-6_157
M3 - Contribución a la conferencia
AN - SCOPUS:85115613192
SN - 9783030855390
T3 - Lecture Notes in Networks and Systems
SP - 1227
EP - 1234
BT - Human Interaction, Emerging Technologies and Future Systems V - Proceedings of the 5th International Virtual Conference on Human Interaction and Emerging Technologies, IHIET 2021 and the 6th IHIET
A2 - Ahram, Tareq
A2 - Taiar, Redha
PB - Springer Science and Business Media Deutschland GmbH
T2 - 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
Y2 - 27 August 2021 through 29 August 2021
ER -