Customer Relationship Management, Satisfaction, and Loyalty in Three Sukabumi Café SMEs
DOI:
https://doi.org/10.58258/d39dyk27Abstract
Customer relationship management (CRM) is widely seen as a driver of satisfaction and loyalty, yet evidence from small café enterprises is scarce. This study examines how CRM practices relate to customer satisfaction, loyalty, and organizational performance in three café SMEs in Sukabumi, Indonesia: Kedai Kopi 35, Kopi Tekun Sukabumi, and Yume Coffee. A quantitative multi-case design was used, with an online questionnaire completed by 207 employees and regular customers and analyzed through PLS-SEM. CRM practices were significantly and positively related to satisfaction (β = 0.398, p < 0.001) and loyalty (β = 0.383, p < 0.01), but not directly to performance (β = 0.071, p = 0.521). Satisfaction predicted performance (β = 0.446, p < 0.001), suggesting that CRM influences performance mainly through satisfaction. A strong ceiling effect, weak convergent validity, and instability in a purified model call for cautious interpretation.References
1. Payne, A., & Frow, P. (2005). A strategic framework for customer relationship management. Journal of Marketing, 69(4), 167–176.
2. Buttle, F. (2009). Customer relationship management: Concepts and technologies (2nd ed.). Butterworth-Heinemann.
3. Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson.
4. Sin, L. Y. M., Tse, A. C. B., & Yim, F. H. K. (2005). CRM: Conceptualization and scale development. European Journal of Marketing, 39(11/12), 1264–1290.
5. Peppers, D., & Rogers, M. (1993). The one to one future: Building relationships one customer at a time. Currency Doubleday.
6. Reinartz, W., & Kumar, V. (2003). The impact of customer relationship characteristics on profitable lifetime duration. Journal of Marketing, 67(1), 77–99.
7. Grönroos, C. (1994). From marketing mix to relationship marketing: Towards a paradigm shift in marketing. Management Decision, 32(2), 4–20.
8. Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1–17.
9. Verhoef, P. C., Kannan, P. K., & Inman, J. J. (2015). From multi-channel retailing to omni-channel retailing: Introduction to the special issue on multi-channel retailing. Journal of Retailing, 91(2), 174–181.
10. Bettencourt, L. A., & Brown, S. W. (1997). Contact employees: Relationships among workplace fairness, job satisfaction and prosocial service behaviors. Journal of Retailing, 73(1), 39–61.
11. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12–40.
12. Reichheld, F. F., & Sasser, W. E. (1990). Zero defections: Quality comes to services. Harvard Business Review, 68(5), 105–111.
13. Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard—Measures that drive performance. Harvard Business Review, 70(1), 71–79.
14. Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). Sage.
15. Cochran, W. G. (1977). Sampling techniques (3rd ed.). Wiley.
16. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.
17. 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.


