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
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);
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
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
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.
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
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.
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
Dijkstra E. What drives logistics professionals? Available online: http://europhia.com/docs/europhia-researchwhat-drives-logistics-professionals (accessed on 12 August 2022).
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.
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
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.
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.
Ganuza JJ, Gómez F. Procurement and accidents: The liability curse. The Journal of Legal Studies 2020; 49(2): 381–429. doi: 10.1086/711913
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.
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
Ongori H. A review of the literature on employee turnover. African Journal of Business Management 2007; 1(3): 49–54.
Perez M. Turnover Intent [PhD thesis]. University of Zurich; 2008.
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
Dey S. Employee retention—A key to organizational growth. Global Management Journal 2009; 3(1): 45–49.
Chaudhary A, Ahmad M, Nayak S, et al. The effect of CSR on internal employee motivation. Vishwakarma Business Review 2015; 5(1): 19–30.
Mello JA. Strategic Human Resource Management, 2nd ed. Cengage South-Western; 2007.
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
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
Olson DL. Risk aspects of knowledge management. Frontiers of Engineering Management 2020; 7(2): 301–303. doi: 10.1007/s42524-019-0087-3
Hubbard DW. The Failure of Risk Management: Why It’s Broken and How to Fix It. John Wiley & Sons; 2009.
Olson DL, Wu DD. Enterprise Risk Management Models. Springer; 2017. doi: 10.1007/978-3-662-53785-5
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
Dess GG, Shaw JD. Voluntary turnover, social capital, and organizational performance. The Academy of Management Review 2001; 26(3): 446. doi: 10.2307/259187
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
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
Jovanovic B. Job matching and the theory of turnover. Journal of Political Economy 1979; 87(5): 972–990. doi: 10.1086/260808
Bamberger P, Meshoulam I. Human Resource Strategy. Sage; 2000.
Morrow P, McElroy J. Efficiency as a mediator in turnover—Organizational performance relations. Human Relations 2007; 60(6): 827–849. doi: 10.1177/0018726707080078