Organizational risk and employee retention model: Which employees matter and how to retain them?

Sumit Shandilya; Avleen Kaur; Jaskiran  Arora

doi:10.18282/hrms.v4i1.3429

Sumit Shandilya School of Management, BML Munjal University, Gurgaon 122413, India; QGS Group, New Delhi 110015, India
Avleen Kaur School of Management, BML Munjal University, Gurgaon 122413, India
Jaskiran Arora School of Management, BML Munjal University, Gurgaon 122413, India

Article ID: 3429

125 Views, 74 PDF Downloads

DOI: https://doi.org/10.18282/hrms.v4i1.3429

Keywords: attrition; absolute potential; retention; risk management; employee turnover

Abstract

Employee retention is a critical concern for organizations in today’s dynamic labor market. This paper introduces a novel framework, integrating “absolute potential of the employee” and “risk associated with leaving the employee”, to address this challenge. Findings from the study suggest that this framework can effectively assist organizations in strategizing retention techniques. The research methodology employed an exploratory research design and collected data from 576 employees across various sectors. The results indicate significant implications for organizational risk assessment and employee retention strategies.

References

1. Younis S, Ahsan A. Know your stars before they fall apart: A social network analysis of telecom industry to foster employee retention using data mining technique. IEEE Access 2021; 9: 16467–16487. doi: 10.1109/access.2021.3050327

2. Chakraborty R, Mridha K, Shaw RN, Ghosh A. Study and prediction analysis of the employee turnover using machine learning approaches. In: Proceedings of the 2021 IEEE 4th International Conference on Computing, Power and Communication Technologies (GUCON); 24–26 September 2021; Kuala Lumpur, Malaysia. doi: 10.1109/gucon50781.2021.9573759

3. Hussein Alkahtani A. Investigating factors that influence employees’ turnover intention: A review of existing empirical works. International Journal of Business and Management 2015; 10(12): 152. doi: 10.5539/ijbm.v10n12p152

4. Al Mamun CA, Hasan N. Factors affecting employee turnover and sound retention strategies in business organization: A conceptual view. Problems and Perspectives in Management 2017; 15(1): 63–71. doi: 10.21511/ppm.15(1).2017.06

5. Al-Suraihi AHA, Wahab NA, Al-Suraihi WA. The effect of entrepreneurship orientation on entrepreneurial intention among undergraduate students in Malaysia. Asian Journal of Entreprenuership 2020; 1(3): 14–25.

6. Al-Suraihi WA, Samikon SA, Al-Suraihi AHA, et al. Employee turnover: Causes, importance and retention strategies. European Journal of Business and Management Research 2021; 6(3): 1–10. doi: 10.24018/ejbmr.2021.6.3.893

7. Alao D, Adeyemo AB. Analyzing employee attrition using decision tree algorithms. Computing, Information Systems, Development Informatics and Allied Research Journal 2013; 4(1): 17–28.

8. Subhashini M, Gopinath R. Employee attrition prediction in industry using machine learning techniques. International Journal of Advanced Research in Engineering & Technology 2020; 11(12): 3329–3341. doi: 10.34218/IJARET.11.12.2020.313

9. Dijkstra E. What drives logistics professionals? Available online: http://europhia.com/docs/europhia-researchwhat-drives-logistics-professionals (accessed on 12 August 2022).

10. Hamidah J, Hamdan AR, Othman ZA. Towards applying data mining techniques for talent managements. In: 2009 International Conference on Computer Engineering and Applications. IACSIT Press; 2011. Volume 2. pp. 476–481.

11. Ranjan J, Goyal DP, Ahson SI. Data mining techniques for better decisions in human resource management systems. International Journal of Business Information Systems 2008; 3(5): 464. doi: 10.1504/ijbis.2008.018597

12. Nagadevara V, Srinivasan V, Valk R. Establishing a link between employee turnover and withdrawal behaviours: Application of data mining techniques. Research and Practice in Human Resource Management 2008; 16(2): 81–99.

13. Gupta V. An analysis of attrition: Retention strategy for IT/BPO industry. International Journal of Advance Research in Computer Science and Management Studies 2013; 1(7): 434–442.

14. Ganuza JJ, Gómez F. Procurement and accidents: The liability curse. The Journal of Legal Studies 2020; 49(2): 381–429. doi: 10.1086/711913

15. Mandhanya Y. A study of impact of working environment on retention of employees (with special reference to automobile sector). Global Management Review 2015; 9(4): 25–33.

16. Winterton J. A conceptual model of labour turnover and retention. Human Resource Development International 2004; 7(3): 371–390. doi: 10.1080/13678868.2011.570685

17. Ongori H. A review of the literature on employee turnover. African Journal of Business Management 2007; 1(3): 49–54.

18. Perez M. Turnover Intent [PhD thesis]. University of Zurich; 2008.

19. Sutherland M, Jordaan W. Factors affecting the retention of knowledge workers. SA Journal of Human Resource Management 2004; 2(2). doi: 10.4102/sajhrm.v2i2.39

20. Dey S. Employee retention—A key to organizational growth. Global Management Journal 2009; 3(1): 45–49.

21. Chaudhary A, Ahmad M, Nayak S, et al. The effect of CSR on internal employee motivation. Vishwakarma Business Review 2015; 5(1): 19–30.

22. Mello JA. Strategic Human Resource Management, 2nd ed. Cengage South-Western; 2007.

23. Warren AR, Nunez N, Keeney JM, et al. The believability of children and their interviewer’s hearsay testimony: When less is more. Journal of Applied Psychology 2002; 87(5): 846–857. doi: 10.1037/0021-9010.87.5.846

24. Araz OM, Choi T, Olson DL, Salman FS. Data analytics for operational risk management. Decision Sciences 2020; 51(6): 1316–1319. doi: 10.1111/deci.12443

25. Olson DL. Risk aspects of knowledge management. Frontiers of Engineering Management 2020; 7(2): 301–303. doi: 10.1007/s42524-019-0087-3

26. Hubbard DW. The Failure of Risk Management: Why It’s Broken and How to Fix It. John Wiley & Sons; 2009.

27. Olson DL, Wu DD. Enterprise Risk Management Models. Springer; 2017. doi: 10.1007/978-3-662-53785-5

28. Lee‐Kelley L, Blackman DA, Hurst JP. An exploration of the relationship between learning organisations and the retention of knowledge workers. The Learning Organization 2007; 14(3): 204–221. doi: 10.1108/09696470710739390

29. Dess GG, Shaw JD. Voluntary turnover, social capital, and organizational performance. The Academy of Management Review 2001; 26(3): 446. doi: 10.2307/259187

30. Abelson MA, Baysinger BD. Optimal and dysfunctional turnover: Toward an organizational level model. The Academy of Management Review 1984; 9(2): 331. doi: 10.2307/258446

31. Vogler C. Accounting for duties: A critical assessment of Robert Audi’s the good in the right. In: Timmons M, Greco J, Mele A (editors). Rationality and the Good: Critical Essays on the Ethics and Epistemology of Robert Audi. Oxford University Press; 2007. pp. 73–82. doi: 10.1093/acprof:oso/9780195311952.003.0007

32. Jovanovic B. Job matching and the theory of turnover. Journal of Political Economy 1979; 87(5): 972–990. doi: 10.1086/260808

33. Bamberger P, Meshoulam I. Human Resource Strategy. Sage; 2000.

34. Morrow P, McElroy J. Efficiency as a mediator in turnover—Organizational performance relations. Human Relations 2007; 60(6): 827–849. doi: 10.1177/0018726707080078