Gohar Feroz Khan, Jacob Wood, Woocheol Kim, Muhammad Tariq Mahmood



Work Engagement Research Domain: Keywords Analysis Using Social Network Analysis and Burst Detection Approach

pdf PDF


Using burst detecting and social network analysis technique in this study we the keywords appearing in the titles and abstract of the work engagement research domain. 1,406 work engagement relevant articles that were published from 1990 to 2015 were included in the study. The results showed that the keywords follow a power law distribution and revealed the fading, emerging, and central themes within the work engagement domain.


employee engagement research, keywords analysis, burst detection, social network analysis


[1].Bakker, A. B., & Demerouti, E. (2008). Towards a model of work engagement. Career Development International, 13(3), 209-223.

[2].Caesens, G., Stinglhamber, F., & Luypaert, G. (2014). The impact of work engagement and workaholism on well-being: The role of workrelated social support. Career Development International, 19(7), 813-835.

[3].Choi, J., Yi, S., & Lee, K. C. (2011). Analysis of keyword networks in MIS research and implications for predicting knowledge evolution. Inf. Manage., 48(8), 371-381. doi:10.1016/j.im.2011.09.004

[4].Hu, Q., Schaufeli, W., Taris, T., Hessen, D., Hakanen, J. J., Salanova, M., & Shimazu, A. (2014). East is east and west is west and never the twain shall meet: Work engagement and workaholism across Eastern and Western cultures. Journal of Behavioral and Social Sciences, 1(1), 6-24.

[5].Kahn, W. A. (1990). Psychological conditions of personal engagement and disengagement at work. Academy of Management Journal, 33(4), 692-724. doi:10.2307/256287

[6].Kim, W., Kolb, J. A., & Kim, T. (2013). The relationship between work engagement and performance: A review of empirical literature and a proposed research agenda. Human Resource Development Review, 12(3), 248-276.

[7].Leydesdorff, L. (2006). The knowledge-based economy: Modeled, measured, simulated. Boca Raton, FL: Universal Publishers.

[8].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.

[9].Sci2Team. (2009). Science of Science (Sci2) TooI Indiana University and SciTech Strategies. Retrieved from http://sci2.cns.iu.edu.

[10].Seppälä, P., Hakanen, J., Mauno, S., Perhoniemi, R., Tolvanen, A., & Schaufeli, W. (2015). Stability and change model of job resources and work engagement: A seven-year three-wave follow-up study. European Journal of Work and Organizational Psychology, 24(3), 360-375.

[11].Shimazu, A., Schaufeli, W. B., Kamiyama, K., & Kawakami, N. (2015). Workaholism vs. work engagement: the two different predictors of future well-being and performance. International journal of behavioral medicine, 22(1), 18-23. Shuck, M. B. (2011). Four emerging perspectives of employee engagement: An integrative literature review. Human Resource Development Review, 10(3), 304-328. doi:10.1177/1534484311410840

[12].Van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523- 538.

[13].Yoon, B., & Park, Y. (2005). A systematic approach for identifying technology opportunities: Keywordbased morphology analysis. Technological Forecasting and Social Change, 72(2), 145-160. doi:http://dx.doi.org/10.1016/j.techfore.2004.08.011

Cite this paper

Gohar Feroz Khan, Jacob Wood, Woocheol Kim, Muhammad Tariq Mahmood. (2016) Work Engagement Research Domain: Keywords Analysis Using Social Network Analysis and Burst Detection Approach. International Journal of Computers, 1, 148-153


Copyright © 2017 Author(s) retain the copyright of this article.
This article is published under the terms of the Creative Commons Attribution License 4.0