Multiple Regression Model for The Prediction of Employee Retention in The Construction Firms in Egypt.
Mohamed, R., Beshara, I., Saleh, N. (2024). Multiple Regression Model for The Prediction of Employee Retention in The Construction Firms in Egypt.. EKB Journal Management System, 53(1), 238-248. doi: 10.21608/erjsh.2023.231947.1210
Rania Farouk Mohamed; Ireny Abdel-Raouf Beshara; Nasser Mosleh Saleh. "Multiple Regression Model for The Prediction of Employee Retention in The Construction Firms in Egypt.". EKB Journal Management System, 53, 1, 2024, 238-248. doi: 10.21608/erjsh.2023.231947.1210
Mohamed, R., Beshara, I., Saleh, N. (2024). 'Multiple Regression Model for The Prediction of Employee Retention in The Construction Firms in Egypt.', EKB Journal Management System, 53(1), pp. 238-248. doi: 10.21608/erjsh.2023.231947.1210
Mohamed, R., Beshara, I., Saleh, N. Multiple Regression Model for The Prediction of Employee Retention in The Construction Firms in Egypt.. EKB Journal Management System, 2024; 53(1): 238-248. doi: 10.21608/erjsh.2023.231947.1210

Multiple Regression Model for The Prediction of Employee Retention in The Construction Firms in Egypt.

Engineering Research Journal (Shoubra)
Volume 53, Issue 1, January 2024, Page 238-248  XML PDF (1.18 MB)
Document Type: Research articles
DOI: 10.21608/erjsh.2023.231947.1210
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Authors
Rania Farouk Mohamed email 1; Ireny Abdel-Raouf Beshara2; Nasser Mosleh Saleh1
1Department of Civil Engineering, Faculty of Engineering at Shoubra, Benha University, Cairo, Egypt
2Construction and Project management Research Institute, HBRC, Giza, Egypt.
Abstract
The construction industry has a high workforce turnover rate all over the world, which has a negative effect on productivity and performance of the construction firms as well as the economy of the countries. The Egyptian construction industry is one of the industries that suffer from the turnover problem in the recent decades. In this respect, this research attempts to predict employee retention based on HRM practices and organizational factors which affect employee retention. A questionnaire was conducted with engineers working in various disciplines in the construction firms and with HR departments to explore the impact of various practices and factors on employee retention. Based on a data set of 132 questionnaires, Multiple regression model is developed to detect the significant variables that will be utilized to predict employee retention. The results reveal that four variables: compensation and recognition, promotion and career development, training, and empowerment appeared as significant variables in the regression model. The Model was validated on random sample of the collected data and another case study and the calculated percentage errors in both datasets are within 10% indicating that the developed model achieved a good level of accuracy in predicting employee turnover.
Keywords
Human Resources Management Practices; Organizational Factors; Prediction Regression Model; Employee Retention
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