A Structural Equation Modeling of Job Satisfaction Factors Affecting Employee Engagement, Case Study of a State Enterprise

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พงศ์ศรันย์ พลศรีเลิศ

Abstract

The aim of this study is to investigate the relationship between job satisfaction (hygiene factors and motivator factors), employee engagement and employee net promoter scores (eNPS ) using structural equation modeling. The data are obtained from all 3,428 staffs of a state enterprise in Thailand. The purpose of this research were as follows; 1) To study the level of job satisfaction, employee engagement and eNPS. 2) To study and develop the causal model effect of job satisfaction on employee engagement and eNPS. 3) To study and provide a guide of practicable job satisfaction and employee engagement for a state enterprise. Research findings showed that employees have high level of job satisfaction (μ= 3.72) and employee engagement (μ=4.25), but eNPS low (18.68%). Moreover, the finding supports job satisfaction (hygiene factors and motivator factors) effected on employee engagement and employee net promoters score.

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How to Cite
พลศรีเลิศ พ. (2016). A Structural Equation Modeling of Job Satisfaction Factors Affecting Employee Engagement, Case Study of a State Enterprise. Journal of Humanities and Social Sciences, Rajapruk University, 2(1), 56–67. Retrieved from https://so03.tci-thaijo.org/index.php/rpu/article/view/112386
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References

จิรประภา อัครบวร และคณะ.(2557). Emo-meter (Employee Engagement on meter)
เครื่องมือการวินิจฉัยความอยู่ดีมีสุขและความผูกพันของบุคลากร. โครงการ “การบริหารทรัพยากรมนุษย์เพื่อนาองค์กรไปสู่องค์กรสุขภาวะ”สมาคมการจัดการงานบุคคลแห่งประเทศไทย.

Aon Hewitt. (2015). Say, Stay, or Strive? Unleash the Engagement Outcome You
Need Retrieve November 15, 2015 from http://aonhewitt.hu/download/ 611/file/2015driversofsaystaystrive.pdf

Fred Reichheld. (2006). Employee Net Promoter Score. Retrieved November 15,
2015 from http://www.netpromotersystem.com/about/employee-engagement.aspx

Hair, J. F. J., Black, W. C., Babin, B. C., Anderson, R. E., & Tatham, R. L. (2006).
Multivariate data analysis. New Jersey: Pearson Prentice Hall.

Herzberg, F., Mausner, B., and Synderman, B. (1959). The Motivation to work.
New York: John Wiley and Sons.

Julio W. Loiseau. (2011). Herzberg’s Theory of Motivation. Retrieved November 15,
2015 from https://www.academia.edu/901041/ Herzbergs_Theory_of_ Motivation.