The Structural Equation Modeling of Employee engagement of Hydropower Plant

Authors

  • Kompon Parhira Student, Doctor of Philosophy in Publice and Private Management, Christian University of Thailand

Keywords:

Structural Equation Modeling, the employee engagement, hydropower plant

Abstract

        The purposes of this research were to analyze the structural equation model of the employee engagement of hydropower plant. The population was 1,983 employees of hydropower plant in the Electricity Generating Authority of Thailand (EGAT). The sample was 322 people selected by random sampling. Data were carried out from January to February 2017. The research instrument was a questionnaires comprised of 3 parts, e.g., (1) transformation leadership (2) job resources and (3) employee engagement. There Cronbach’s alpha coefficient were 0.96, 0.83, and 0.92, respectively. Data were analyzed Structural Equation Modeling.

         The findings of this research study revealed that job resources had positive direct effects on employee engagement (β=.32, <.01), transformation leadership had positive direct effects (β= .22, p<.001) and indirect effects on employee engagement respectively. The structural equation model of employee engagement of hydropower plant was congruent with the empirical data (P-value = .058, Chi-Square=53.727, df = 39, CMIN/df = 1.378, GFI = 0.973, AGFI = 0.945, CFI=0.996, RMSEA = 0.034). It revealed that the job resources had direct and highest effect, while transformation leadership exhibited both direct and indirect effects to the employee engagement.  The findings of this research suggested that the employer should focus on providing sufficient job resources and developing of transformation leadership. Transformation leadership can use job resources in the work for maximum benefit. Which will positively affect employee engagement

References

การไฟฟ้าฝ่ายผลิตแห่งประเทศไทย. รายงานประจำปี. 2559. สืบค้นเมื่อ 11 พฤศจิกายน 2561, จาก http://www.egat.co.th/index.php?option=com_content&view=article&id=165&Itemid=146

กริช แรงสูงเนิน. (2554). การวิเคราะห์ปัจจัยด้วย SPSS และ AMOS เพื่อการวิจัย. กรุงเทพฯ: ซีเอ็ดยูเคชั่น.

สำนักงานคณะกรรมการนโยบายรัฐวิสาหกิจ. (2558). การตอบกลับรายงานผลการดำเนินงานของการไฟฟ้าฝ่ายผลิตแห่งประเทศไทย ปี 2558.

Bakker, A. B., Demerouti, E., Taris, T. W., Schaufeli, W. B., & Schreurs, P. J. (2003). A multigroup analysis of the job demands-resources model in four home care organizations. International Journal of stress management, 10(1), 16.

Bakker, A. B., Hakanen, J. J., Demerouti, E., & Xanthopoulou, D. (2007). Job resources boost work engagement, particularly when job demands are high. Journal of educational psychology, 99(2), 274.

Bass, B. M., & Avolio, B. J. (1994). Improving organization effectiveness through transformational leadership. Thousand Oaks: Sage.

Bass, B. M., & Avolio, B. J. (1997). Full range leadership development: Manual for the multifactor leadership questionnaire. Palo Alto, Calif: Mind Garden.

Behling, O. & Law, K.S. (2000). Translating questionnaires and other research instruments: problems and solution. London: Sage Publications.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. A global perspective. (7thed.). New Jersey: Pearson Prentice Hall.

Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and psychological measurement, 30(3), 607-610.

Schaufeli, W. B. (2015). Engaging leadership in the job demands-resources model. Career Development International, 20(5), 446-463.

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.

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.

Veldhoven, M. V., Jonge, J. D., Broersen, S., Kompier, M., & Meijman, T. (2002). Specific relationships between psychosocial job conditions and job-related stress: A three-level analytic approach. Work & Stress, 16(3), 207-228.

Downloads

Published

2019-05-03

Issue

Section

Research Article