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IJSTR >> Volume 5 - Issue 12, December 2016 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Predicting The Exit Time Of Employees In An Organization Using Statistical Model

[Full Text]



Ahmed Al Kuwaiti, Vinoth Raman, Arun Vijay Subbarayalu, Palanivel R.M., Sivasankar Prabaharan



Additive Weibull Distribution, Employee, Exit, Organization, Shock model



Employees are considered as an asset to any organization and each organization provide a better and flexible working environment to retain its best and resourceful workforce. As such, continuous efforts are being taken to avoid or extend the exit/withdrawal of employees from the organization. Human resource managers are facing a challenge to predict the exit time of employees and there is no precise model existing at present in the literature. This study has been conducted to predict the probability of exit of an employee in an organization using appropriate statistical model. Accordingly, authors designed a model using Additive Weibull distribution to predict the expected exit time of employee in an organization. In addition, a Shock model approach is also executed to check how well the Additive Weibull distribution suits in an organization. The analytical results showed that when the inter-arrival time increases, the expected time for the employees to exit also increases. This study concluded that Additive Weibull distribution can be considered as an alternative in the place of Shock model approach to predict the exit time of employee in an organization.



[1] L. Phillips, “Senior professional in human resources exam prep: workforce planning and employment”. Retrieved from http://www.pearsonitcertification.com/articles/article.aspx?p=438037&seqNum=11.(2006 February 24).

[2] A. O. Hirschman, Exit, Voice, and Loyalty: Responses to Decline in Firms, Organizations, and States. Cambridge, MA: Harvard University Press, 1970.

[3] D. Farrell, and C.E. Rusbult, “Exploring the Exit, Voice, Loyalty, and Neglect Typology: The Influences of Job Satisfaction, Quality of Alternatives, and Investment Size”. Employee Responsibilities and Rights Journal, Vol. 5, pp. 201-218, 1992.

[4] C. Rusbult, and D. Lowery, “When bureaucrats get the blues: Responses to dissatisfaction among federal employees”, Journal of Applied Social Psychology, Vol. 15, pp. 80–103,1985.

[5] L.W. Porter, and R.W. Steers, “Organizational, Work, and Personal Factors in Employee Turnover and Absenteeism”, Psychological Bulletin, Vol. 80, pp. 151-176, 1973.

[6] L. Rousan, Agent Turnover in Ohio State University Extension. Unpublished doctoral dissertation, Ohio State University, Columbus, 1995.

[7] P. Wongwatcharapaiboon, N. Sirikanokwilai & P. Pengapaiboon, “The 1997 Massive resignation of contracted new medical graduates from the Thai Ministry of Public health: What reasons behind?” Human resources for health development journal, Vol. 32, No.2, pp. 147-155, 1999.

[8] S.L.N. Simha, (2001). “Resignation of the first governor of RBI”, Economic and Political Weekly, Vol. 36, No.18, pp. 1559-1564, 2001.

[9] W.D. Skaggs, Factors contributing to employee resignation (perceived and actual) among cooperative extension agents in Georgia (Master’s thesis). The University of Georgia: Athens, Georgia 2006.

[10] B. Hobbs, “7 reasons why employees leave: 4 you can control and 3 you can’t”. Retrieved from http://www.refreshleadership.com/index.php/2010/08/7-reasons-employees-leave-4-control-3/ (2010, August 3).

[11] P. Osterman, ‘Turnover, Employment Security, and the Performance of the Organization”, in M. Kleiner (ed.) Human Resources and the Performance of the Organization,. Champaign, IL: Industrial Relations Research Association, pp. 275-317, 1987.

[12] S.B. Droege, and J. Hoobler, “Employee Turnover and Tacit Knowledge Diffusion: A Network Perspective”, Journal of Managerial Issues Vol. 15, No.1, pp. 50–61, 2003.

[13] W.F. Cascio, “Managing Human Resources: Productivity, Quality of Work Life, Profits” (7th ed.). Burr Ridge, IL: Irwin/McGraw-Hill. Mitchell, T.R., Holtom, B.C., & Lee, T.W. 2001. How to keep your best employees: Developing an effective retention policy. Academy of Management Executive, Vol. 15, pp. 96-108, 2006.

[14] R.D. Sommer, Retaining intellectual capital in the 21st century. SHRM White Paper, 2000.

[15] S. Wiley, “Building morale: the key to firm growth”, CPA Practice Management Forum, Vol. 7, No.2, pp.12, 19, 2011 doi:2370465801.

[16] Smartpros, “Using the exit interview to boost employee retention”, Retrieved from: http://accounting.smartpros.com/x50887.xml, 2009.

[17] T. Saengsureepornchai, Dynamic human resource predictive model for complex organizations (Master’s thesis). University of Tennessee, Knoxville. Retrieved from http://trace.tennessee.edu/utk_gradthes/1019. 2011.

[18] R. Khare, D. Kaloya, C.K. Choudhary, & G. Gupta, “Employee Attrition Risk Assessment using Logistic Regression Analysis”, Paper presented at the 2nd IIMA International Conference, Indian Institute of Management, Ahmedabad, India (2011, January 8-9).

[19] K. Kannadasan, P. Pandiyan, R. Vinoth and R. Saminathan, “Time to Recruitment in an Organization through Three Parameter Generalized Exponential Model”, Journal of Reliability and Statistical Studies, Vol. 6, pp. 21-28, 2013.

[20] P. Pandiyan, K. Kannadasan, and R. Vinoth, “Prospective Control in an Organization through Two Grade Systems”. 4D International Journal of Management and Science, Vol. 3 No.1, pp. 1-9, 2013

[21] J. Kalaivani, R. Vinoth, and S.R. Elangovan, "Survival time to trace the threshold grade level in an organization". International Journal of Multidisciplinary Research and Development, Vol. 1 No. 5, pp. 22-25, 2014.

[22] J.K. Artur, G.M. Cordeiro and E.M.M. Ortega, (2014), “On the Additive Weibull Distribution”, Communications in Statistics-Theory and Methods, Vol. 43, pp. 2066-2080, 2014.

[23] W.L. Smith, (1958), “Renewal theory and its ramifications”. Journal of the Royal Statistical Society, Series B (Methodological), Vol. 20 No. 2, pp. 243-302, 1958.

[24] J.D. Esary, A.W. Marshall, and F. Proschan, “Shock models and wear process”, Annals of Probability, Vol. 1 No. 4, pp. 627-649, 1973.

[25] T.W. Lee, and T.R. Mitchell, “An alternative approach: The unfolding model of voluntary employee turnover”, Academy of Management Review, Vol. 19, pp. 51–89, 1994.

[26] K. Morrell, J. Loan-Clarke and A. Wilkinson, “The role of shocks in employee turnover”, British Journal of Management, Vol. 15, pp. 335–349, 2004.

[27] K. Morrell, “Towards a typology of nursing turnover: the role of shocks in nurses’ decision to leave”, Journal of Advanced Nursing, Vol. 49, pp. 315–322, 2005.

[28] B. Dawson-Saunders, R.G. Trapp Basic & Clinical Biostatistics. 2nd edition, Appleton & Lange: Norwalk, Connecticut, 1994.

[29] E.L. Kaplan and P. Meier, “Nonparametric estimation from incomplete observations”, Journal of the American Statistical Association, Vol. 53, pp. 457–481,1958.