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The study shows that all identified factors have significant relationship with the employee retention. | Model development for employee retention in Indian construction industry using structural equation modeling SEM International Journal of Management IJM Volume 10 Issue 4 July August 2019 pp.196 204 Article ID IJM_10_04_019 Available online at http www.iaeme.com ijm issues.asp JType IJM amp VType 10 amp IType 4 Journal Impact Factor 2019 9.6780 Calculated by GISI www.jifactor.com ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication MODEL DEVELOPMENT FOR EMPLOYEE RETENTION IN INDIAN CONSTRUCTION INDUSTRY USING STRUCTURAL EQUATION MODELING SEM Dr. Arunangshu Giri Associate Professor School of Management amp Social Science Haldia Institute of Technology Haldia West Bengal India. Dr. Sourav Gangopadhyay Assistant Professor Management Department Haldia Institute of Management Haldia West Bengal India. Jayeeta Majumder Assistant Professor Management Department Haldia Institute of Management Haldia West Bengal India. Dr. Pradip Paul Senior Manager Retail Sales Haldia Divisional Office Indian Oil Corporation Ltd. Haldia West Bengal India Corresponding Author ABSTRACT In India number of construction companies is increasing day by day so the demand for the efficient employees is also increasing but there are lots of dissatisfaction is observed among the employees of construction companies in India which causes increasing rate of employee attrition. Employees of construction industry can be satisfied by motivating them with financial and non-financial encouragements. In this paper factors affecting employee retention in the construction industry were identified and assessed. The views of 287 employees were collected by the help of structure questionnaires distributed to Architects Civil Engineers Builders Surveyors Clarks and others from selected construction companies in India. Basic facilities working environment scope amp opportunities and employee satisfaction were found as the major factors affecting employee retention. To analyze the impact of those factors
