Empirical investigation of influencers of employee turnover from Indian perspective, part II

Authors:

Pravesh Soti,Vivek Kr. Pathak,Madhu Kumar R,Nirmal S Kumar,P Nirmal James,

DOI NO:

http://doi.org/10.26782/jmcms.2019.10.00019

Keywords:

Employee Turnover,Employee Attrition,Manufacturing,Services,Employee retention,India,

Abstract

Relying on the fact that expenses on managing employee turnover costs a lot to the organizations, understanding on the contributors of high turnover becomes crucial. The present paper is focussed on this fact and progresses with an objective to explore the relevant factors influencing employee turnover and put forth their ranking based on their strength of influence. The study successfully concluded four reliable factors – personal, job influencers, environment & working conditions and benefits & welfare measures, as factors influencing employee turnover in the industries selected as sample. The responses of the respondents from manufacturing, mining and services sectors from North east India, were analysed for its reliability and data reduction using SPSS package software. The study further applied Grey Relational analysis method for prioritizing the explored factors for meaningful conclusions.Based on the analysis, the study concludes that statements belonging to employee benefits and welfare measures factor were ranked above all as major influencers for employee turnover in the sample organization represented in the study. The study suggests a roadmap to determine which factors guide towards higher employee turnover and turnover in an organization. They should concentrate on the items for better improvement plans facilitating retention in future.

Refference:

I. Abbasi, S. and Hollman, K. (2000), “Turnover: the real bottomline”, Public
Personnel Management, 29 (3), 333-342.
II. Adhikari, A. (2009). Factors affecting employee attrition: a multiple
regression approach. IUP Journal of Management Research, 8(5), 38.
III. Arthur, J. B. (1994). Effects of human resource systems on manufacturing
performance and turnover. Academy of Management Journal, 37, 670-687
IV. Beriha, G. S., Patnaik, B., Mahapatra, S. S., &Sreekumar. (2011).
Occupational health and safety management using grey relational analysis: an
Indian perspective. International Journal of Indian Culture and Business
Management, 4(3), 298-324.
V. Deng, J. (1982). System and Control Letter. Control Problems of Grey
System, 1(5), 288-94.

VI. Dobhal& Nigam, 2018. Employee Attrition and Employee Satisfaction: A
Study of HR, Performance Appraisal & Training Practices in Defence PSUs
in India, IOSR Journal of Business and Management (IOSR-JBM), 20(2), 01-
27
VII. Field, A. (2009). Discovering statistics using SPSS. Sage publications.
VIII. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., &Tatham, R. (2010).
Multivariate data analysis. Pearson.
IX. Herman, R.E. (1999), “Hold on to the people you need”, HR Focus Special
Report on Recruitment and Retention, June, Supplement 11.
X. Ho, J. S. Y., Downe, A. G., &Loke, S. P. (2010). Employee attrition in the
Malaysian service industry: Push and pull factors. IUP Journal of
Organizational Behavior, 9.
XI. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1),
31-36.
XII. Kim, H. and Stoner, M. (2008), “Burnout and turnover intention among
social workers: effects of role stress, job autonomy and social support”,
Administration in Social Work, 32(3), 5-25.
XIII. Latha, K. L. (2013). A study on employee attrition and retention in
manufacturing industries. BVIMSR’s Journal of Management Research
(BJMR), 5(1), 1-23.
XIV. Liu, S., & Lin, Y. (2006). Grey information: theory and practical
applications. Springer Science & Business Media.
XV. Liu, S., Forrest, J., & Yang, Y. (2012). A brief introduction to grey systems
theory. Grey Systems: Theory and Application, 2(2), 89-104.
XVI. MacCallum, R. C., Widaman, K. F., Zhang, S., & Hong, S. (1999). Sample
size in factor analysis. Psychological methods, 4(1), 84.
XVII. Magner, N., Welker, R. and Johnson, G. (1996), “The interactive effects of
participation and outcome favorability in performance appraisal on turnover
intentions and evaluations of supervisors”, Journal of Occupational &
Organizational Psychology, 69, 135-143.
XVIII. Moran, J., Granada, E., Míguez, J. L., &Porteiro, J. (2006). Use of grey
relational analysis to assess and optimize small biomass boilers. Fuel
Processing Technology, 87(2), 123-127.
XIX. Nulty, D. D. (2008). The adequacy of response rates to online and paper
surveys: what can be done? Assessment & evaluation in higher
education, 33(3), 301-314.
XX. Nunnally, J. C., & Bernstein, I. H. (1994). Psychological theory. New York,
NY: MacGraw-Hill.
XXI. Sahney, S. (2011). Delighting customers of management education in India: a
student perspective, part I. The TQM Journal, 23(6), 644-658.
XXII. Sahu, A. and Gupta, M. (1999), “An Empirical Analysis of Employee
Turnover in a Software Organization”, Indian Journal of Industrial Relations,
35(1), 55-73.
XXIII. Saini, P., & Subramanian, V. (2014). Employee attrition in selected
industries: ITES, Banking, Insurance and Telecommunication in Delhi &
NCR.

XXIV. Saleem M and Affandi H (2014), HR Practices and Employees Retention, an
empirical analysis of Pharmaceutical sector of Pakistan, IOSR Journal of
Business and Management, 16(6).
XXV. Sekaran, U., &Bougie, R. (2016). Research methods for business: A skill
building approach. John Wiley & Sons.
XXVI. Udechukwu, I.I. and Mujtaba, B.G. (2007), “Determining the probability that
an employee will stay or leave the organization: a mathematical and
theoretical model for organizations”, Human Resource Development Review,
6(2), 164-184.
XXVII. Vinit Singh Chauhan, Druvesh Patel (2013). „Employee Turnover: A
Factorial Study of IT Industry‟, Journal of Strategic Human Resource
Management, 2(1):289-297.
XXVIII. Walker, J.W. (2001), “Perspectives”, Human Resource Planning, Vol. 24, pp.
6-10.
XXIX. Wu, C. H. (2007). On the application of grey relational analysis and RIDIT
analysis to Likert scale surveys. In International Mathematical Forum, 2(14),
675-687.

 

View Download