The Factors Affecting Employee Commitment to Restaurants in Thanh Hoa City: Application of the PLS-SEM Model
DOI:
https://doi.org/10.55677/SSHRB/2025-3050-0102Keywords:
Employee relationships, PLS-SEM model, development.Abstract
The study focuses on analyzing the factors affecting employee commitment to restaurants in Thanh Hoa, based on the development and application of measurement scales suitable for the current situation and context. The research sample consists of 186 responses from customers who have experienced dining at restaurants in Thanh Hoa City, eligible for analysis using Smart PLS 4.0 statistical software and the PLS-SEM model. The results show that five factors influence employee commitment, in the following order of impact: (3) Salary, bonuses, and benefits; (5) Promotion opportunities; (4) Work environment; (2) Training and development; (1) Employee-manager relationships. The research model explained 62.6% of the phenomenon. Based on the research findings, the author points out some managerial implications and suggests directions for future research.
References
Bagozzi, R. and Yi, Y, (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Sciences, 16, 74-94. http://dx.doi.org/10.1007/BF02723327.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed). Mahwah.
Comrey, A. L. (1973). A First Course in Factor Analysis. In Educational and Psychological Measurement (Vol. 33, Issue 4). New York: Academic. https://doi.org/10.1177/001316447303300442
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
Hair, J. ., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
Hair, J. F., Hult, G., Tomas, M., Ringle, C. M., & Sarstedt, M. (2013). A primer on partial least squares structural equation modeling (PLS-SEM): SAGE Publications, Incorporated.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd edition. SAGE publication Inc, USA.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115–135.
Höck, M., & Ringle, C. M. (2006). Strategic networks in the software industry : An empirical analysis of the value continuum. IFSAM VIIIth World Congress.
Hock, M., & Ringle, C. M. (2010). Local strategic networks in the software industry: An empirical analysis of the value continuum. International Journal of Knowledge Management Studies, 4(2), 132–151.
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
Mai, A. V. (2021). Sustainable tourism development in Thanh Hoa.
Mai, A. V. (2020) Using PLS–SEM data analysis method in testing scientific research models.
Mai, A. V., Tran, T., & Le, Q. Q. (2022). Research model on the relationship among tourism service quality, tourist satisfaction and tourist loyalty in Sam Son, Thanh Hoa province.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Social Science and Human Research Bulletin
This work is licensed under a Creative Commons Attribution 4.0 International License.
