Fairness in Complaint Handling and Its Theoretical Implications for Service Recovery: Evidence from E-Commerce Customers in Denmark
DOI:
https://doi.org/10.38035/dijemss.v6i5.5060Keywords:
Complaint Management, Distributive Justice, Procedural Justice, Service Recovery, Interactional Justice, Ecommerce, Customer Satisfaction, Purchasing BehaviorAbstract
This study explores the relationship between customer complaint management and its impact on customer satisfaction and subsequent purchasing behavior in Denmark. We developed a refined complaint handling model, emphasizing fairness across three key dimensions: distributive justice, procedural justice, and interactional justice. These dimensions are hypothesized to significantly influence customer satisfaction, which, in turn, affects purchasing intentions. Using online surveys, we assessed customer perceptions of complaint handling, focusing on these critical dimensions. Data collected from 250 Danish consumers, each having filed at least one complaint, were analyzed using the Partial Least Squares (PLS) approach. The analysis revealed a significant link between effective complaint management and enhanced customer satisfaction, which notably influences purchasing intentions. Initially, our model did not demonstrate a direct impact on purchasing behaviors, leading to its refinement. The revised model indicates that customer satisfaction with the resolution process predominantly dictates future purchasing decisions, while dissatisfaction with the complaint handling does not directly affect future purchases. This research is distinguished by its innovative complaint handling model and the application of PLS methodology, providing deeper insights into the dynamic interactions between studied variables. The focused and highly relevant sample underscores the study's significance, particularly in the e-commerce sector.
References
Bansal, H. S., Irving, P. G., & Taylor, S. F. (2004). A three-component model of customer commitment to service providers. Journal of the Academy of Marketing Science, 32(3), 234–250. https://doi.org/10.1177/0092070304263332
Becker, J. U., Greve, G., & Albers, S. (2009). The impact of technological and organizational implementation of CRM on customer acquisition, maintenance, and retention. International Journal of Research in Marketing, 26(3), 207–215. https://doi.org/10.1016/j.ijresmar.2009.03.006
Bentler, P. M., & Chou, C. P. (1987). Practical issues in structural modeling. Sociological Methods & Research, 16(1), 78–117. https://doi.org/10.1177/0049124187016001004
Bies, R. J., & Moag, J. F. (1986). Interactional justice: Communication criteria of fairness. In R. J. Lewicki, B. H. Sheppard, & M. H. Bazerman (Eds.), Research on negotiation in organizations (Vol. 1, pp. 43–55). JAI Press.
Blodgett, J. G., & Li, H. (2007). Assessing the effects of post-purchase dissatisfaction and complaining behavior on profitability: A Monte Carlo simulation. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 20, 1–14.
Chebat, J. C., & Slusarczyk, W. (2005). How emotions mediate the effects of perceived justice on loyalty in service recovery situations: An empirical study. Journal of Business Research, 58(5), 664–673. https://doi.org/10.1016/j.jbusres.2003.09.004
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum.
Croasmun, J. T., & Ostrom, L. (2011). Using Likert-type scales in the social sciences. Journal of Adult Education, 40(1), 19–22.
Davidow, M. (2003). Organizational responses to customer complaints: What works and what doesn’t. Journal of Service Research, 5(3), 225–250. https://doi.org/10.1177/1094670502238917
DeWitt, T., Nguyen, D. T., & Marshall, R. (2008). Exploring customer loyalty following service recovery: The mediating effects of trust and emotions. Journal of Service Research, 10(3), 269–281. https://doi.org/10.1177/1094670507310767
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Gelbrich, K., & Roschk, H. (2011). A meta-analysis of organizational complaint handling and customer responses. Journal of Service Research, 14(1), 24–43. https://doi.org/10.1177/1094670510387914
Geisser, S. (1975). The predictive sample reuse method with applications. Journal of the American Statistical Association, 70(350), 320–328. https://doi.org/10.2307/2285815
Grégoire, Y., & Fisher, R. J. (2008). Customer betrayal and retaliation: When your best customers become your worst enemies. Journal of the Academy of Marketing Science, 36, 247–261. https://doi.org/10.1007/s11747-007-0054-0
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications.
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. https://doi.org/10.1108/EBR-11-2018-0203
Homans, G. C. (1961). Social behavior: Its elementary forms. Harcourt, Brace & World.
Johnston, R. (2001). Linking complaint management to profit. International Journal of Service Industry Management, 12(1), 60–69. https://doi.org/10.1108/09564230110382754
Jöreskog, K. G., & Sörbom, D. (1993). LISREL 8: Structural equation modeling with the SIMPLIS command language. Scientific software international.
Kelloway, E. K. (1998). Using LISREL for structural equation modeling: A researcher’s guide. SAGE Publications.
Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler's (1999) findings. Structural Equation Modeling, 11(3), 320–341. https://doi.org/10.1207/s15328007sem1103_2
Mattila, A. S., & Yang, W. (2016). Response style and service evaluation in intercultural service encounters. Journal of Service Management, 27(1), 19–35. https://doi.org/10.1108/JOSM-09-2014-0264
Maxham, J. G., & Netemeyer, R. G. (2002). A longitudinal study of complaining customers’ evaluations of multiple service failures and recovery efforts. Journal of Marketing, 66(4), 57–71. https://doi.org/10.1509/jmkg.66.4.57.18512
McCollough, M. A., Berry, L. L., & Yadav, M. S. (2000). An empirical investigation of customer satisfaction after service failure and recovery. Journal of Service Research, 3(2), 121–137. https://doi.org/10.1177/109467050032002
Melgaard, C. V., Voss, E., Hansen, M. F., Lassen, M., Hvidtfeldt, M., Pandey, S., ... & Thomsen, M. (2024). Danish consumers’ knowledge about and willingness to buy dairy products close to the best?before?date. Food Frontiers, 5(2), 494–507. https://doi.org/10.1002/fft2.259
Mirfaqoh, V., Yusriani, S., Helmi, T. A., Fadhil, A., Sholihah, F. M., & Kusnadi, K. (2023). Analysis of the impact of the COVID-19 pandemic on stock prices in the construction sector in Indonesia. Greenation International Journal of Economics and Accounting, 1(3), 437–442. https://doi.org/10.59653/gijeb.v1i3.174
Oliver, R. L. (1997). Satisfaction: A behavioral perspective on the consumer. McGraw-Hill.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Smith, A. K., Bolton, R. N., & Wagner, J. (1999). A model of customer satisfaction with service encounters involving failure and recovery. Journal of Marketing Research, 36(3), 356–372. https://doi.org/10.1177/002224379903600305
Stauss, B. (2002). The dimensions of complaint satisfaction: Process and outcome complaint satisfaction versus cold fact and warm act complaint satisfaction. Managing Service Quality: An International Journal, 12(3), 173–183. https://doi.org/10.1108/09604520210429138
Tax, S. S., Brown, S. W., & Chandrashekaran, M. (1998). Customer evaluations of service complaint experiences: Implications for relationship marketing. Journal of Marketing, 62(2), 60–76. https://doi.org/10.1177/002224299806200205
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M., & Lauro, C. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159–205. https://doi.org/10.1016/j.csda.2004.03.005
Voorhees, C. M., & Brady, M. K. (2005). A service perspective on the drivers of complaint intentions. Journal of Service Research, 8(2), 192–204. https://doi.org/10.1177/1094670505279702
Voorhees, C. M., Brady, M. K., Calantone, R. J., & Ramirez, E. (2020). Service encounters, experiences and the customer journey: Defining the field and a call to expand beyond the core service encounter. Journal of Business Research, 116, 420–429. https://doi.org/10.1016/j.jbusres.2019.08.064
Wirtz, J., & Mattila, A. S. (2004). Consumer responses to compensation, speed of recovery and apology after a service failure. International Journal of Service Industry Management, 15(2), 150–166. https://doi.org/10.1108/09564230410532484
Yoda, T., & Kumakura, Y. (2007). Customer perception of advantageous inequity in the context of service recovery. Journal of Services Marketing, 21(1), 23–29. https://doi.org/10.1108/08876040710726260
Yusriani, S., Rekarti, E., Patiro, S. P. S., & Aftabi, D. (2024). Human resource management and skill development in the service sector within the framework of the SDGs: A study on distribution companies in Denmark and Germany. Dinasti International Journal of Digital Business Management, 5(6), 1062–1074. https://doi.org/10.31933/dijdbm.v5i6.2057
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Tengku Ahmad Helmi, Endi Rekarti, Sri Yusriani, Prasetyo Harisandi

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish their manuscripts in this journal agree to the following conditions:
- The copyright on each article belongs to the author(s).
- The author acknowledges that the Dinasti International Journal of Education Management and Social Science (DIJEMSS) has the right to be the first to publish with a Creative Commons Attribution 4.0 International license (Attribution 4.0 International (CC BY 4.0).
- Authors can submit articles separately, arrange for the non-exclusive distribution of manuscripts that have been published in this journal into other versions (e.g., sent to the author's institutional repository, publication into books, etc.), by acknowledging that the manuscript has been published for the first time in the Dinasti International Journal of Education Management and Social Science (DIJEMSS).









































