Job Embeddedness, Work Engagement and Turnover Intention of IT Professionals
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Abstract
The objective of this research is to test job embeddedness theory in the context of IT professionals in Thailand. IT professionals are increasingly important occupational group in the digital era and in hiking demand in the labor market these days. We do this by analyzing influences of on- and off-the-job embeddedness and work engagement on turnover intention of IT professionals in Thailand. We received 417 usable returned questionnaires from IT professionals. Regression analysis reported that on-the-job embeddedness and work engagement respectively, had negative influence on employee turnover intention, while off-the-job embeddedness did not have influence on the outcome.
The results shed light on the boundary of job-embeddedness theory in practice among the group of IT professionals in Thailand. Managers should emphasize practical implications in relations with on-the-job embeddedness to retain IT professionals by enhancing a web of network where they recognize the reciprocal benefits, value and their contribution to support colleagues, organization and vice versa. Moreover, managers should also consider the opportunities for IT employees to use their capabilities to participate in work activities to increase their work engagement. Lastly, organization should provide meaningful benefits that induce in them the awareness of what they have to sacrifice should they leave the organization.
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References
Allen, D. G., Bryant, P. C., & Vardaman, J. M. (2010). Retaining talent: Replacing misconceptions with evidence-based strategies. The Academy of Management Perspectives, 24(2), 48-64.
Choochom, O. (2014). An analysis of work engagement construct. UMT Poly Journal, 11(2), 75-79.
Cochran, W. G. (1977). Sampling Techniques. John Wiley & Sons. New York.
Colarelli, S. M. (1984). Methods of communication and mediating processes in realistic job previews. Journal of Applied Psychology, 69(4), 633-642.
Dinger, M., Thatcher, J. B., Stepina, L. P., & Craig, K. (2012). The grass is always greener on the other side: A test of present and alternative job utility on IT professionals’ turnover. IEEE Transactions on Engineering Management, 59(3), 364-378.
Du Plooy, J., & Roodt, G. (2010). Work engagement, burnout and related constructs as predictors of turnover intentions. SA Journal of Industrial Psychology, 36(1), 1-13.
Gefen, D., Ragowsky, A., Miller, J., Licker, P., & Stern, M. (2015). The Center Cannot Hold: How Leading Firms Are Managing the Changing IT Boundaries. Communications of the Associations for Information Systems, 36, 655-667.
Griffeth, R. W., Hom, P. W., & Gaertner, S. (2000). A meta-analysis of antecedents and correlates of employee turnover: Update, moderator tests, and research implications for the next millennium. Journal of Management, 26(3), 463-488.
Gutermann, D., Lehmann-Willenbrock, N., Boer, D., Born, M., & Voelpel, S. C. (2017). How leaders affect followers’ work engagement and performance: Integrating leader- member exchange and crossover theory. British Journal of Management, 28(2), 299-314.
Halbesleben, J. R. (2010). A meta-analysis of work engagement: Relationships with burnout, demands, resources, and consequences. Work Engagement: A Handbook of Essential Theory and Research, 8(1), 102-117.
Halbesleben, J. R., & Wheeler, A. R. (2008). The relative roles of engagement and embeddedness in predicting job performance and intention to leave. Work & Stress, 22(3), 242-256.
Harter, J. K., Schmidt, F. L., & Hayes, T. L. (2002). Business-unit-level relationship between employee satisfaction, employee engagement, and business outcomes: a meta-analysis. Journal of Applied Psychology, 87(2), 268-279.
Hausknecht, J. P., Trevor, C. O., & Howard, M. J. (2009). Unit-level voluntary turnover rates and customer service quality: Implications of group cohesiveness, newcomer concentration, and size. Journal of Applied Psychology, 94(4), 1068–1075.
Hinkin, T. R., & Tracey, J. B. (2000). The cost of turnover: Putting a price on the learning curve. Cornell Hotel and Restaurant Administration Quarterly, 41(3), 14-21.
Holtom, B. C., & Inderrieden, E. J. (2006). Integrating the unfolding model and job embeddedness model to better understand voluntary turnover. Journal of Managerial Issues, 18(4), 435-452.
Holtom, B. C., Mitchell, T. R., Lee, T. W., & Eberly, M. B. (2008). Turnover and retention research: a glance at the past, a closer review of the present, and a venture into the future. The Academy of Management Annals, 2(1), 231-274.
Hom, P. W., & Kinicki, A. J. (2001). Toward a greater understanding of how dissatisfaction drives employee turnover. Academy of Management Journal, 44(5), 975-987.
Homsuwan, W. (2017). Factors associated with intention to leave of nurses in Rajavithi hospital, Bangkok, Thailand. Journal of Health Research, 31(1), S91-S97.
Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846.
Jiang, K., Liu, D., McKay, P. F., Lee, T. W., & Mitchell, T. R. (2012). When and how is job embeddedness predictive of turnover? A meta-analytic investigation. Journal of Applied Psychology, 97(5), 1077-1096.
Jobs DB Recruitment (Thailand) (2019). IT professionals should advance their skills to support digital business. Retrieved May 20, 2019, from https://th.jobsdb.com
Kim, L. (2018). The 25 Most In-Demand Job Skills Right Now, According to LinkedIn. Retrieved September 15, 2018, from https://www.inc.com/larry-kim/the-25-most-in-demand-job-skills-right-now-according-to-linkedin.html
Kimberley, B., Bakker, A. B., Demerouti, E., & van den Heuvel, M. (2015). Leader-member exchange, work engagement, and job performance. Journal of Managerial Psychology, 30(7), 754-770.
Korn Ferry. (2017). Thailand Market Remuneration Report.
Korn Ferry. (2018). Thailand Market Remuneration Report.
Lee, T. W., Mitchell, T. R., Sablynski, C. J., Burton, J. P., & Holtom, B. C. (2004. The effects of job embeddedness on organizational citizenship, job performance, volitional absences, and voluntary turnover. Academy of Management Journal, 47(5), 711-722.
Lee, T. W., Burch, T. C., & Mitchell, T. R. (2014). The story of why we stay: A review of job embeddedness. Annual Review of Organizational Psychology and Organizational Behavior, 1(1), 199-216.
Ministry of Digital Economy and Society (2019) ETDA revealed Thai e-Commerce continued growth in year 2018, Retrieved May 20, 2019, from https://www.etda.or.th/content/
Mitchell, T. R., Holtom, B. C., Lee, T. W., Sablynski, C. J., & Erez, M. (2001). Why people stay: Using job embeddedness to predict voluntary turnover. Academy of Management Journal, 44(6), 1102-1121.
OECD. (2008). Handbook of constructing composite indicators: Methodology and user guide, OECD Publications.
Nunnally J. C. (1978). Psychometric Theory. New York: McGraw-Hill.
PricewaterhouseCoopers. (2014). Fit for the future 17th annual global CEO survey key findings in the technology industry. Retrieved December 15, 2018, from http://goo.gl/9DDxEy
Sawathwej, S. & Setthakorn, K. P. (2019). The study of job embeddedness and turnover intention of beauty assistant in department stores, Bangkok. Journal of Humanities and Social Sciences, University of Phayao, 7(2), 247-263.
Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness studies, 3(1), 71-92.
Schaufeli, W. B., & Bakker, A. B. (2010). Defining and measuring work engagement: Bringing clarity to the concept. In Work Engagement: A Handbook of Essential Theory and Research, 10-24.
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66(4), 701-716.
Shaw, J. D., Duffy, M. K., Johnson, J. L., & Lockhart, D. E. (2005). Turnover, Social Capital Losses, and Performance. Academy of Management Journal, 48(4), 594–606.
Steers, R. M., Mowday, R. T., & Porter, L. W. (1979). Employee Turnover and Post Decision Accommodation Processes. In Cummings L.Staw B. (Eds.) Research in organizational behavior (Vol. 3). Greenwich, Connecticut: JAI Press, 1981, 235-281.
Tandee, S., & Vorahan, V. (2017). Predictors of turnover intention of professional nurses in regional hospital, northeastern region of Thailand. Journal of Nursing Sciences & Health, 40(3), 116-125.
Thatcher, J. B., Stepina, L. P., & Boyle, R. J. (2002). Turnover of information technology workers: Examining empirically the influence of attitudes, job characteristics, and external markets. Journal of Management Information Systems, 19(3), 231-261.
World Economic Forum (2018). The Future of Jobs Report 2018. Retrieved September 15, 2018, from http://www3.weforum.org/docs/WEF_Future_of_Jobs_2018.pdf