A STUDY ON FACTORS AFFECTING EMPLOYEE RETENTION RATIO IN IT COMPANIES IN INDIA

Authors

  • Priyakant Kumar Research Scholar, Faculty of Computer Application, Mandsaur University, Mandsaur
  • Dr. Nilesh Jain HOD & Associate Professor, Faculty of Computer Application Mandsaur University, Mandsaur

DOI:

https://doi.org/10.29121/shodhkosh.v5.i1.2024.3707

Abstract [English]

The Information Technology (IT) Industry is the fastest-growing industry. In India after 2002 is growing day by day. This is made up of the software industry and the ITES industry and these industries contribute to our Indian economy. It creates employment, revenue, and other benefits for our country. On the basis of the March 2022 report, almost 5 million people are working in the IT sector in India, and for any organization, employees are the lifeblood.

References

Akala, H. S. (2012). Factors Influencing Employee Retention Among the Non- By a Research Project Report Submitted in Partial Fulfillment of the Requirement for the Award of the Degree of Masters of Arts in Project Planning and Management of the. 82.

Anitha, J. (2014). Determinants of employee engagement and their impact on employee performance. International Journal of Productivity and Performance Management, Vol. 63, Iss. 3, pp. 308-323. Retrieved from http://dx.doi.org/10.1108/IJPPM-01-2013-0008. DOI: https://doi.org/10.1108/IJPPM-01-2013-0008

Arnold, J. (1996). The Psychological Contract: A concept in need for closer scrutiny? European Journal of Work and Organizational Psychology, 5(4), 20-511. DOI: https://doi.org/10.1080/13594329608414876

Bhartiya, N., Jannu, S., Shukla, P., & Chapaneri, R. (2019). Employee attrition prediction using classification models. In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), 1-6. DOI: https://doi.org/10.1109/I2CT45611.2019.9033784

Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105. DOI: https://doi.org/10.1037/h0046016

Chafetz, B., Erickson, R.A. and Ensell, J. (2009). Where did our employees go? Examining the rise in voluntary turnover during economic recoveries”, Deloitte Review.

Connell, J., Gough, R., McDonnell, A., & Burgess, J. (2014). Technology, work organization and job quality in the service sector: An introduction. Labor & industry: An introduction: Journal of the Social and Economic Relations of Work, 24(1), 1-8. doi:10.1080/10301763.2013.877117 DOI: https://doi.org/10.1080/10301763.2013.877117

Craney, T.A., and Surles, J.G. (2002).Model-Dependent Variance Inflation Factor Cut-off Values. Quality Engineering, 14(3), 391-403. DOI: https://doi.org/10.1081/QEN-120001878

DeMers, A. (2002). Solutions and Strategies for IT Recruitment and Retention: A Manager’s Guide. Public Personnel Management, 31(1), 27–40. https:// doi.org/ 10.1177 /0091 0260 020 31 0 0104 DOI: https://doi.org/10.1177/009102600203100104

Fornell, C., and Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research (18:1), 39-50. DOI: https://doi.org/10.1177/002224378101800104

Granrose, C.S. & Portwood, J.D. (1987). Matching individual career plans and organizational career management. Academy of Management Journal, 30(4), 699- 720. DOI: https://doi.org/10.5465/256156

Gurunathan K. and Vijayalakshmi V. (2012), A Study on Employee Retention Practices of Automobile Industry in INDIA, Paripex - Indian Journal Of Research, 1(5).

Hair, J. F. Jr., Anderson, R. E., Tatham, R. L. & Black, W. C. (1995). Multivariate Data Analysis, 3rd edn. New York: Macmillan.

Hillary, M., Healther R., Philip, S. & Martin, W. (2005). Recruitment and retention of academic staff in higher education. National Institute of Economic and Social Research.

Hocking, R. R. and Pendelton, O. J. (1983). The Regression Dilemma," Communications in Statistics. Theory and Methods, 12(5), 497-527. DOI: https://doi.org/10.1080/03610928308828477

Holtgrewe, U. (2014). New technologies: The future and the present of work in information and communication technology. New Technology, Work and Employment, 29(1), 9-24. doi:10.1111/ntwe.12041 DOI: https://doi.org/10.1111/ntwe.12025

Hokanson, C., Sosa-Fey, J. and Vinaja, R. (2011). Mitigating The Loss Of Knowledge Resulting From The Attrition Of Younger Generation Employees. International Journal of Business and Public Administration, Vol 8, No 2.

IRABOR, I. E., & OKOLIE, U. C. (2019). A Review of Employees’ Job Satisfaction and its Affect on their Retention. Annals of Spiru Haret University. Economic Series, 19(2), 93–114. https://doi.org/10.26458/1924 DOI: https://doi.org/10.26458/1924

Kennedy, P. (1992). A Guide to Econometrics. Oxford: Blackwell

Marquardt, D. W. (1970). Generalized inverses, ridge regression, biased linear estimation and nonlinear estimation. Technometrics, 12, 591-612. DOI: https://doi.org/10.1080/00401706.1970.10488699

Maliku, M. (2016). The perceived relationship between employee retention and organizational performance at National Oil Corporation of Kenya. Nairobi: University of Nairobi Unpublished Report.

McKeen, J., Smith, H., & Jin, J. (2009). Successful Strategies for IT Staffing Communication for the Association for Information System. Developments in Practice XXXII, 24, 805-820. DOI: https://doi.org/10.17705/1CAIS.02446

Messmer, M. (2000). “Orientations programs can be key to employee retention.”Strategic Finance, 81 (8), 12-15.

Mitchell Hoffman, S. T., 2018. People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis. s.l.:s.n DOI: https://doi.org/10.3386/w24360

Neter, J. Wasserman, W., and Kutner, M.H. (1989). Applied Linear regression Models. 2nd Edition. Irwin Homewood IL: Irwin.

Nunnally, J. C. (1978). Psychometric theory. New York: McGraw-Hill.

Ratna, R., & Chawla, S. (2012). Key factors of retention and retention strategies in EY Telecom Sector. Global Management Review, 6(3), 35. Retrieved from http://globalmj.eu

Salunkhe, T.P. (2018). Improving employee retention by predicting employee attrition using machine learning techniques, Dublin Business School.

Sila et.al.,(2019), Determinants of Employee Retention: A Study of Reality in Brazil, Strategy and Superior Performance of Micro and Small Businesses in Volatile Economies. DOI: 10.4018/978-1-5225-7888-8.ch004 DOI: https://doi.org/10.4018/978-1-5225-7888-8.ch004

Sharma, G. D., Mahendru, M., & Singh, S. (2010). Employee Retention in ITes Industry : A Case Study of North India. Res Manageria, November.

Sharma, M. K., Singh, D., Tyagi, M., Saini, A., & ... (2022). Employee Retention And Attrition Analysis: A Novel Approach On Attrition Prediction Using Fuzzy Inference And Ensemble Machine Learning. Webology, 19(January), 22.

Steers, R., & Porter, L. (1983-a&b). Motivation and work behavior (3rd ed.). New York:McGaw-Hill Book Company.

Stauss, B., Chojnacki, K., Decker, A., Hoffman, F. (2001). Retention effects of a customer club. International Journal of Service Industry Management, Vol. 12, No.1, pp.7-19. 128. DOI: https://doi.org/10.1108/09564230110382745

Sue, S. (2001). Successful Staff Retention in one week. 558

Tammy C. Morse and Bahaudin G. Mujtaba, Humor Resource Leaders and Employee Retention in the 21st Century Workplace: The Link between Them and Practical Recommendations for Managers, International Research Journal, Volume-2, Issue-7, and August 2009.

Teixeira, M. C. de S., & França, S. L. B. (2013). Clima organizacional e satisfação no trabalho: contribuições para a gestão estratégica de pessoas em instituição pública. Revista Gestão e Tecnologia para a Competitividade.

Tornack, C., Pilarski, B., & Schumann, M. (2015). Decision support for succession management conferences using mobile applications–results from the 3rd iteration of a design science research project. New Horizons in Design Science: Broadening the Research Agenda, 9073, 421-429. Springer International Publishing.Trotter, DOI: https://doi.org/10.1007/978-3-319-18714-3_34

Wang, Y., Yang, C., & Wang, K. (2012). Comparing public and private employees’ job satisfaction and turnover. Public Personnel Management, 41(3), 557-573.doi:10.1177/009102601204100310 DOI: https://doi.org/10.1177/009102601204100310

Downloads

Published

2024-06-30

How to Cite

Priyakant Kumar, & Jain, N. (2024). A STUDY ON FACTORS AFFECTING EMPLOYEE RETENTION RATIO IN IT COMPANIES IN INDIA. ShodhKosh: Journal of Visual and Performing Arts, 5(1), 589–595. https://doi.org/10.29121/shodhkosh.v5.i1.2024.3707