A Novel Classification Model for Employees Turnover Using Neural Network to Enhance Job Satisfaction in Organizations
The most important challenge facing modern organizations is to keep their employees as valuable assists. Employee turnover is one of these challenges. This paper aims to develop a novel model that can help decision-makers to classify the problem of Employee Turnover. The proposed model is based on m...
Main Author: | Tarig Mohamed Ahmed |
---|---|
Format: | Article |
Language: | English |
Published: |
University of Zagreb, Faculty of organization and informatics
2021-01-01
|
Series: | Journal of Information and Organizational Sciences |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/392311 |
Similar Items
-
Relationship between job stress, work engagement, job satisfaction, organization commitment and employees’ turnover intention in retail and consumer product industry in Melaka / Nur Farhana Hamidun
by: Hamidun, Nur Farhana
Published: (2019) -
Intermediate linkages in the relationship between job satisfaction and employee turnover/
by: 358291 Mobley, William H. -
The Impact of Transformational Leadership on Job Satisfaction and Employee Turnover Intentions: A Conceptual Review
by: Gan Evelyn, et al.
Published: (2021-01-01) -
The relationship between job satisfaction and job turnover intention among employees in Tenaga Nasional Berhad (TNB) Pasir Gudang / Anis Hamizah Abdul Rahman
by: Abdul Rahman, Anis Hamizah
Published: (2015) -
External alternatives, job stress on job satisfaction and employee turnover intention
by: Ramlawati, Eva Trisnawati, Nurfatwa Andriani Yasin, Kurniawaty
Published: (2020-09-01)