Developing an Emotional Labor Scale for Employees in the Service Industry

Authors

  • Minnicha Yarosake Burapha University
  • Associate Prof. Dr. Juthamas Haenjohn Burapha University
  • Assistant Prof. Dr. Warakorn Sapwirapakorn Burapha University

DOI:

https://doi.org/10.47941/hrlj.2030

Abstract

Purpose: This research aims to develop an emotional labor scale and examine the consistency of the emotional labor measurement model with empirical data. The study focuses on individuals with long-term work experience and incorporates cross-cultural perspectives to address gaps in current research. Additionally, it seeks to create a standardized model for measuring and evaluating emotional labor that is applicable to contemporary work environments.

Methodology: The population is front-service employees of hotels in Chonburi Province, and the sample consists of 280 front-service employees of hotels in Pattaya City, Chonburi Province. The research methodology for developing the emotional labor scale in this phase is quantitative research, using confirmatory factor analysis to examine the consistency of the emotional labor measurement model.

Findings: The results of the model fit analysis and quality assessment of the CFA model found that the RMSEA (Root Mean Square Error of Approximation) was 0.217, indicating a lack of fit between the model and data. The CFI (Comparative Fit Index) was 0.591. The TLI (Tucker-Lewis Index) was 0.442. Finally, the IFI (Incremental Fit Index) was 0.595. Based on the presented indices, this model has a poor fit with the data. The RMSEA, CFI, TLI, and IFI values are lower than the recommended criteria, indicating a discrepancy between the model and data.

Unique Contribution to Theory, Policy and Practice: These findings suggest that current emotional labor measurement models may not accurately capture the experiences of workers across different cultures and with varying lengths of work experience. Policymakers and organizations should consider developing more nuanced and culturally sensitive approaches to assess and manage emotional labor in the workplace. This could involve creating tailored training programs, revising performance evaluation metrics, and implementing supportive policies that acknowledge the complexity of emotional labor across diverse work environments.

Downloads

Download data is not yet available.

Author Biographies

Minnicha Yarosake, Burapha University

Doctoral Student, Brain, Mind, and Learning Program, Faculty of Education

Associate Prof. Dr. Juthamas Haenjohn, Burapha University

Associate Professor Dr., Brain, Mind, and Learning Program, Faculty of Education

Assistant Prof. Dr. Warakorn Sapwirapakorn, Burapha University

Associate Professor Dr., Brain, Mind, and Learning Program, Faculty of Education

References

Diefendorff, J. M., Croyle, M. H., & Gosserand, R. H. (2005). The dimensionality and antecedents of emotional labor strategies. Journal of Vocational Behavior, 66(2), 339-359. https://doi.org/10.1016/j.jvb.2004.02.001

Grandey, A. A. (2003). When "the show must go on": Surface acting and deep acting as determinants of emotional exhaustion and peer-rated service delivery. Academy of Management Journal, 46(1), 86-96. https://doi.org/10.5465/30040678

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Pearson.

Hochschild, A. R. (1983). The managed heart: Commercialization of human feeling. University of California Press.

Hülsheger, U. R., Alberts, H. J., Feinholdt, A., & Lang, J. W. (2013). Benefits of mindfulness at work: The role of mindfulness in emotion regulation, emotional exhaustion, and job satisfaction. Journal of Applied Psychology, 98(2), 310-325. https://doi.org/10.1037/a0031313

Kristensen, T. S., Hannerz, H., Høgh, A., & Borg, V. (2006). The Copenhagen Psychosocial Questionnaire - A tool for the assessment and improvement of the psychosocial work environment. Scandinavian Journal of Work, Environment & Health, 31(6), 438-449. https://doi.org/10.5271/sjweh.948

Kruml, S. M., & Geddes, D. (2000). Catching fire without burning out: Is there an ideal way to perform emotional labor? In N. M. Ashkanasy, C. E. J. Hartel, & W. J. Zerbe (Eds.), Emotions in the workplace: Research, theory, and practice (pp. 177-188). Quorum Books.

Miao, C., Humphrey, R. H., & Qian, S. (2017). A meta-analysis of emotional intelligence and work attitudes. Journal of Occupational and Organizational Psychology, 90(2), 177-202. https://doi.org/10.1111/joop.12167

Schumacker, R. E., & Lomax, R. G. (2010). A beginner's guide to structural equation modeling (3rd ed.). Routledge.

Tsai, W. (2001). Knowledge transfer in intraorganizational networks: Effects of network position and absorptive capacity on business unit innovation and performance. Academy of Management Journal, 44(5), 996-1004. https://doi.org/10.2307/3069443

Wharton, A. S. (2009). The sociology of emotional labor. Annual Review of Sociology, 35, 147-165. https://doi.org/10.1146/annurev-soc-070308-115944

Downloads

Published

2024-07-01

How to Cite

Yarosake, M., Haenjohn, J., & Sapwirapakorn, W. (2024). Developing an Emotional Labor Scale for Employees in the Service Industry. Human Resource and Leadership Journal, 9(3), 62–77. https://doi.org/10.47941/hrlj.2030

Issue

Section

Articles