Main Article Content

Abstract

This study examines the effects of employee behavior on customer satisfaction and customer loyalty by analyzing 367 Google Maps restaurant reviews from Manado City collected between 2022 and 2025. Using a lexicon-based sentiment analysis model tailored for Bahasa Indonesia and Manado dialects, the research quantifies sentiment for three key variables: employee behavior, customer satisfaction, and customer loyalty. Descriptive results indicate that customers express satisfaction more frequently than loyalty intentions, while comments related to employee behavior tend to be mixed. Correlation and regression analyses reveal that employee behavior significantly increases customer satisfaction (H1 supported), but customer satisfaction does not significantly predict loyalty, nor does employee behavior directly affect loyalty. Mediation testing using the Baron and Kenny (1986) approach confirms that customer satisfaction does not mediate the relationship between employee behavior and loyalty. These findings partially support the Service-Profit Chain Theory by confirming the link between service behavior and satisfaction but not the subsequent satisfaction–loyalty pathway. The study highlights the value of online reviews as real-time, natural reflections of customer experiences while also emphasizing that loyalty intentions are less likely to be expressed in textual feedback. Implications, limitations, and recommendations for integrating sentiment analysis with behavioral data in future research are discussed.

Article Details

How to Cite
Rantung , S., & Kainde, L. L. (2026). The Effects Of Employee Behavior On Customer Loyalty Through Customer Satisfaction: Sentiment Analysis Of Google Maps Restaurant Review In Manado City . Economics and Digital Business Review, 7(1), 683–696. https://doi.org/10.37531/ecotal.v7i2.4056

References

  1. Alhelalat, J. A., Ma’moun, A. H., & Twaissi, N. M. (2017). The impact of personal and functional aspects of restaurant employee service behaviour on customer satisfaction. International Journal of Hospitality Management, 66, 46-53. https://doi.org/10.1016/j.ijhm.2017.07.001
  2. Almashaleh, O., Wicaksono, H., & Valilai, O. F. (2025). A framework for social media analytics in textile business circularity for effective digital marketing. Journal of Open Innovation: Technology, Market, and Complexity, 100544.
  3. Alshaabani, A., Naz, F., Magda, R., & Rudnák, I. (2021). Impact of perceived organizational support on OCB in the time of COVID-19 pandemic in Hungary: employee engagement and affective commitment as mediators. Sustainability, 13(14), 7800.
  4. Back, K. J., & Parks, S. C. (2003). A brand loyalty model involving cognitive, affective, and conative brand loyalty and customer satisfaction. Journal of hospitality & tourism research, 27(4), 419-435. https://doi.org/10.1177/10963480030274003
  5. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173.
  6. BPS-Statistics Indonesia. (December 23, 2024). Food and Beverage Service Activities Statistics 2023. Retrieved on September 20, 2025, from https://www.bps.go.id/en/publication/2024/12/23/f2c7743c4712aaeaa4abf694/food-and-b everage-service-actvities-statistics-2023.html
  7. Choi, S., Jeong, K. S., & Park, S. R. (2024). ESG activity recognition enhances organizational commitment and service-oriented organizational citizenship behavior among insurance call center staff. Heliyon, 10(11). doi: 10.1016/j.heliyon.2024.e31999
  8. Dabral, P., Nayak, S., & Piramanayagam, S. (2025). Which attributes are important for patrons of fine-dining restaurants? A choice-based conjoint analysis. Cogent Business & Management, 12(1), 2549518. https://doi.org/10.1080/23311975.2025.2549518
  9. Dick, A. S., & Basu, K. (1994). Customer loyalty: toward an integrated conceptual framework. Journal of the academy of marketing science, 22(2), 99-113. https://doi.org/10.1177/0092070394222001
  10. Field, A. (2024). Discovering statistics using IBM SPSS statistics. Sage publications limited.
  11. Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate behavioral research, 26(3), 499-510.
  12. Hadjali, H. R., & Salimi, M. (2012). An investigation on the effect of organizational citizenship behaviors (OCB) toward customer-orientation: A case of Nursing home. Procedia-social and Behavioral sciences, 57, 524-532. doi: 10.5829/idosi.wasj.2013.28.11.1682
  13. Han, H., & Hyun, S. S. (2017). Impact of hotel-restaurant image and quality of physical-environment, service, and food on satisfaction and intention. International Journal of Hospitality Management, 63, 82-92. https://doi.org/10.1016/j.ijhm.2017.03.006
  14. Harba, J. N., Tigu, G., & Davidescu, A. A. (2021). Exploring consumer emotions in pre-pandemic and pandemic times. A sentiment analysis of perceptions in the fine-dining restaurant industry in Bucharest, Romania. International Journal of Environmental Research and Public Health, 18(24), 13300. https://doi.org/10.3390/ijerph182413300
  15. He, W., Zha, S., & Li, L. (2013). Social media competitive analysis and text mining: A case study in the pizza industry. International journal of information management, 33(3), 464-472.
  16. Heskett, J. L., & Schlesinger, L. A. (1994). Putting the service-profit chain to work. Harvard business review, 72(2), 164-174.
  17. Judijanto, L., Sofyan, I. R., Rustiawan, I., & Triastuti, U. Y. (2025). The Effect of Performance-Based Compensation, Collaborative Work Environment, and Organizational Culture on Generation Z Employee Motivation in the Food and Beverage (F&B) Industry in Indonesia. West Science Interdisciplinary Studies, 3(01), 207–214. https://doi.org/10.58812/wsis.v3i01.1650
  18. Oliver, R. L. (1999). Whence consumer loyalty?. Journal of marketing, 63(4_suppl1), 33-44.
  19. Pleerux, N., & Nardkulpat, A. (2023). Sentiment analysis of restaurant customer satisfaction during COVID-19 pandemic in Pattaya, Thailand. Heliyon, 9(11). https://doi.org/10.1016/j.heliyon.2023.e22193
  20. Pleerux, N., & Nardkulpat, A. (2023). Sentiment analysis of restaurant customer satisfaction during COVID-19 pandemic in Pattaya, Thailand. Heliyon, 9(11).
  21. Rajput, A., & Gahfoor, R. Z. (2020). Satisfaction and revisit intentions at fast food restaurants. Future Business Journal, 6(1), 13.
  22. Reicheld, F. F., & Sasser Jr, W. E. (2003). Quality comes to services. Operations Management, 105, 289.
  23. Robbins, S. P., & Judge, T. (2017). Organizational behavior. Pearson South Africa.
  24. Söderlund, M. (2018). The proactive employee on the floor of the store and the impact on customer satisfaction. Journal of Retailing and Consumer Services, 43, 46-53. https://doi.org/10.1016/j.jretconser.2018.02.009
  25. Sutoyo, E., & Permana, M. C. (2025). Enhancing telemedicine service quality through sentiment analysis of user review dataset in Indonesia. Data in Brief, 111878. https://doi.org/10.1016/j.dib.2025.111878
  26. Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 5, No. 7). Boston, MA: pearson.
  27. Xia, Y., & Ha, H. Y. (2023). The role of online reviews in restaurant selection intentions: A latent growth modeling approach. International Journal of Hospitality Management, 111, 103483. https://doi.org/10.1016/j.ijhm.2023.103483
  28. Xin, G., & Choi, J. G. (2020). The impact of factors forming employee service attitude on service quality, customer satisfaction and loyalty in the hotel industry. Global Business & Finance Review (GBFR), 25(3), 84-95. doi: 10.17549/gbfr.2020.25.3.84
  29. Yan, Z., Mansor, Z. D., Choo, W. C., & Bai, N. (2025). Fostering hospitality employees’ service-oriented organizational citizen behavior through managerial coaching behavior: A multilevel mixed methods study. International Journal of Hospitality Management, 129, 104203. https://doi.org/10.1016/j.ijhm.2025.104203
  30. Yao, W., Arshad, M. A., Zhao, M., & Yu, C. (2025). The Impact of Employee Service Competence on Gen Z Food Consumption Decisions: The Moderating Role of OMO Contexts. Foods, 14(16), 2793. https://doi.org/10.3390/foods14162793