Interactive app-based services: Recovery evaluations and the mediating role of satisfaction in the relationship between customer-brand engagement and electronic word of mouth
Based on the theory of co-creation and resource-based theory, this study examines the differential impact of varying levels of customer participation in service recovery (firm, customer, and joint) on recovery satisfaction, customer-brand engagement (CBE), and electronic-word of mouth (e-WoM). Besides, using social exchange theory, this study examines the mediating role of consumers’ recovery satisfaction in the relationship between the types of service recovery and electronic word of mouth (e-WoM). The data to accomplish the research objectives was collected from 495 customers of interactive food delivery apps in India. The experimental design was used to collect the data. The multivariate analysis of variance (MANOVA) and PROCESS macro techniques were used to test the hypotheses. The findings suggest that joint recovery results in better recovery evaluations such as CBE, recovery satisfaction, and e-WoM. Also, recovery satisfaction mediated the relationship between CBE and e-WoM. These findings provide empirical evidence for the linkages among the theory ofco-creation, resource-based theory, and social exchange theory. The marketers of interactive food delivery apps may use these findings to ascertain which recovery type they should emphasize to improve recovery satisfaction. Moreover, they are encouraged to take steps for improving recovery satisfaction as CBE affects e-WoM through recovery satisfaction.
Acharya, A. (2020). The impact of brand familiarity, customer brand engagement and self-identification on word-of-mouth. South Asian Journal of Business Studies, 10(1), 29-48.
Al-Htibat, A., & Garanti, Z. (2019). Impact of interactive eReferral on tourists’ behavioral intentions. Marketing Intelligence & Planning, 37(5), 527-541.
Bagherzadeh, R., Rawal, M., Wei, S., & Saavedra Torres, J. (2020). The journey from customer participation in service failure to co-creation in service recovery. Journal of Retailing and Consumer Services, 54, 102058.
Bagozzi, R., & Dholakia, U. (2006). Antecedents and purchase consequences of customer participation in small group brand communities. International Journal of Research in Marketing, 23(1), 45-61.
Cheng, A. (2018). Millennials Are Ordering More Food Delivery, But Are They Killing The Kitchen, Too?. Forbes, Retrieved October 17, 2019, from https://www.forbes.com/sites/andriacheng/2018/06/26/millennials-are-ordering-food-for-delivery-more-but-are-they-killing-the-kitchen-too/?sh=31974523393e
Cheung, F., & To, W. (2016). A customer-dominant logic on service recovery and customer satisfaction. Management Decision, 54(10), 2524-2543.
Choi, B., & Choi, B. (2014). The effects of perceived service recovery justice on customer affection, loyalty, and word-of-mouth. European Journal of Marketing, 48(1/2), 108-131.
Dabholkar, P., & Spaid, B. (2012). Service failure and recovery in using technology-based self-service: Effects on user attributions and satisfaction. The Service Industries Journal, 32(9), 1415-1432.
Das, T., & Teng, B. (2000). A Resource-Based Theory of Strategic Alliances. Journal of Management, 26(1), 31-61.
Dessart, L., Veloutsou, C., & Morgan-Thomas, A. (2015). Consumer engagement in online brand communities: A social media perspective. Journal of Product & Brand Management, 24(1), 28-42.
Dong, B., Evans, K., & Zou, S. (2008). The effects of customer participation in co-created service recovery. Journal of The Academy of Marketing Science, 36(1), 123-137.
Dong, B., Sivakumar, K., Evans, K., & Zou, S. (2016). Recovering coproduced service failures. Journal of Service Research, 19(3), 291-306.
Fang, E., Palmatier, R., & Evans, K. (2008). Influence of customer participation on creating and sharing of new product value. Journal of The Academy of Marketing Science, 36(3), 322-336.
Forbes, L. (2008). When something goes wrong and no one is around: Non‐internet self‐service technology failure and recovery. Journal of Services Marketing, 22(4), 316-327.
France, C., Merrilees, B., & Miller, D. (2016). An integrated model of customer-brand engagement: Drivers and consequences. Journal of Brand Management, 23(2), 119-136.
Guo, L., Gruen, T., & Tang, C. (2017). Seeing relationships through the lens of psychological contracts: The structure of consumer service relationships. Journal of The Academy of Marketing Science, 45(3), 357-376.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, New Jersey: Prentice Hall.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications.
Haywood, K. M. (1989). Managing word of mouth communications. Journal of Services Marketing, 3(2), 55-67.
Hazée, S., Van Vaerenbergh, Y., & Armirotto, V. (2017). Co-creating service recovery after service failure: The role of brand equity. Journal of Business Research, 74, 101-109.
Heidenreich, S., Wittkowski, K., Handrich, M., & Falk, T. (2014). The dark side of customer co-creation: Exploring the consequences of failed co-created services. Journal of The Academy of Marketing Science, 43(3), 279-296.
Hollebeek, L. (2011). Demystifying customer brand engagement: Exploring the loyalty nexus. Journal of Marketing Management, 27(7-8), 785-807.
Hollebeek, L. (2018). Individual-level cultural consumer engagement styles: Conceptualization, propositions and implications. International Marketing Review, 35(1), 42-71.
Hollebeek, L., Glynn, M., & Brodie, R. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of Interactive Marketing, 28(2), 149-165.
Hsu, L., Wang, K., Chih, W., & Lin, W. (2019). Modeling revenge and avoidance in the mobile service industry: Moderation role of technology anxiety. The Service Industries Journal, 1-24.
Hudson, S., Roth, M., Madden, T., & Hudson, R. (2015). The effects of social media on emotions, brand relationship quality, and word of mouth: An empirical study of music festival attendees. Tourism Management, 47, 68-76.
Hwang, Y., Gao, L., & Mattila, A. S. (2020). What recovery options to offer for loyalty reward program members: Dollars vs. Miles?. International Journal of Hospitality Management, 87, 102496.
Islam, J. U., Rahman, Z., & Hollebeek, L. D. (2019). The role of consumer engagement in recovering online service failures: An application of service-dominant logic. In Handbook of Research on Customer Engagement. Edward Elgar Publishing.
Jung, N., & Seock, Y. (2017). Effect of service recovery on customers’ perceived justice, satisfaction, and word-of-mouth intentions on online shopping websites. Journal of Retailing and Consumer Services, 37, 23-30.
Kim, W., Ng, C., & Kim, Y. (2009). Influence of institutional DINESERV on customer satisfaction, return intention, and word-of-mouth. International Journal of Hospitality Management, 28(1), 10-17.
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10.
Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for information Systems, 13(7).
Koenker, R., & Bassett, G. (1978). Regression quantiles. Econometrica, 46(1), 33-50. doi: 10.2307/1913643
Kozinets, R., De Valck, K., Wojnicki, A., & Wilner, S. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74(2), 71-89.
Lim, S., Bentley, P., Kanakam, N., Ishikawa, F., & Honiden, S. (2015). Investigating country differences in mobile app user behavior and challenges for software engineering. IEEE Transactions on Software Engineering, 41(1), 40-64.
Liu, X., Shin, H., & Burns, A. (2021). Examining the impact of luxury brand's social media marketing on customer engagement: Using big data analytics and natural language processing. Journal of Business Research, 125, 815-826.
Loureiro, S. M. C., Gorgus, T., & Kaufmann, H. R. (2017). Antecedents and outcomes of online brand engagement: The role of brand love on enhancing electronic-word-of-mouth. Online Information Review, 41(7), 985-1005.
Malhotra, N., Kim, S., & Patil, A. (2006). Common method variance in is research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.
Mohanty, P., & Dey, D. (2020). Consumer-brand engagement with e-commerce market place brands. Journal of Electronic Commerce in Organizations, 18(3), 21-37.
Mollen, A., & Wilson, H. (2010). Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives. Journal of Business Research, 63(9-10), 919-925.
Nunally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.
Ozkan-Tektas, O., & Basgoze, P. (2017). Pre-recovery emotions and satisfaction: A moderated mediation model of service recovery and reputation in the banking sector. European Management Journal, 35(3), 388-395.
Park, J., & Ha, S. (2016). Co-creation of service recovery: Utilitarian and hedonic value and post-recovery responses. Journal of Retailing and Consumer Services, 28, 310-316.
Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. MIS Quarterly, 31(1), 105-136.
Podsakoff, P. M., Mackenzie, S. B., Lee, J., & 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.
Ranjan, K. R., & Read, S. (2016). Value co-creation: concept and measurement. Journal of the Academy of Marketing Science, 44(3), 290-315.
Research & Markets (2020). Online food delivery services global market report 2020-30: Covid-19 growth and change. Retrieved May 17, 2020, from https://www.
Robinson, D., Perryman, S., & Hayday, S. (2004). The drivers of employee engagement. Brighton: Institute for Employment Studies.
Roggeveen, A. L., Tsiros, M., & Grewal, D. (2011). Understanding the co-creation effect: When does collaborating with customers provide a lift to service recovery? Journal of the Academy of Marketing Science, 40(6), 771-790.
Saks, A. M. (2006). Antecedents and consequences of employee engagement. Journal of Managerial Psychology, 21 (7), 600-619.
Schaefers, T., & Schamari, J. (2016). Service recovery via social media: The social influence effects of virtual presence. Journal of Service Research, 19(2), 192-208.
Schoefer, K. (2008). The role of cognition and affect in the formation of customer satisfaction judgements concerning service recovery encounters. Journal of Consumer Behaviour, 7(3), 210-221
Seo, E. J., Park, J. W., & Choi, Y. J. (2020). The effect of social media usage characteristics on e-WOM, trust, and brand equity: Focusing on users of airline social media. Sustainability, 12(4), 1-18.
Shulga, L. V., & Busser, J. A. (2020). Hospitality employee and customer role in value co-creation: Personal, organizational and collaborative outcomes. International Journal of Hospitality Management, 91, 102648.
Sivadas, E., & Jindal, R. P. (2017). Alternative measures of satisfaction and word of mouth. Journal of Services Marketing, 31(2),119-130.
So, K. K., King, C., Sparks, B. A., & Wang, Y. (2014). The role of customer engagement in building consumer loyalty to tourism brands. Journal of Travel Research, 55(1), 64-78.
So, K. K. F., Li, X., & Kim, H. (2020). A decade of customer engagement research in hospitality and tourism: A systematic review and research agenda. Journal of Hospitality & Tourism Research, 44(2), 178-200.
Srinivasan, S. S., Anderson, R., & Ponnavolu, K. (2002). Customer loyalty in e-commerce: An exploration of its antecedents and consequences. Journal of Retailing, 78(1), 41-50.
Srivastava, D., & Sharma, R. W. (2017). Developing a model for studying the antecedents and effects of Word of Mouth (WoM) and e-WoM marketing based on literature review. Jindal Journal of Business Research, 6(1), 25-43.
Srivastava, M., & Sivaramakrishnan, S. (2020). The impact of eWOM on consumer brand engagement. Marketing Intelligence & Planning, 39(3), 469-484.
Statista (2019). Mobile app downloads worldwide from 2018 to 2024. Retrieved May 15, 2020 from https://www.statista.com/statistics/1010716/apple-app-store-google-play-app-downloads-forecast/
Sugathan, P., Ranjan, K. R., & Mulky, A. G. (2017). A typical shifts post-failure: Influence of co-creation on attribution and future motivation to co-create. Journal of Interactive Marketing, 38, 64-81.
Tong, X., & Bentler, P. M. (2013). Evaluation of a New Mean Scaled and Moment Adjusted Test Statistic for SEM. Structural Equation Modeling: A Multidisciplinary Journal, 20(1), 148-156.
Trochim, W. M., & Donnelly, J. P. (2008). Research methods knowledge base. Mason, OH: Atomic Dog/Cengage Learning.
Tu, Y., Neuhofer, B., & Viglia, G. (2018). When co-creation pays: Stimulating engagement to increase revenues. International Journal of Contemporary Hospitality Management, 30(4), 2093-2111.
Van Vaerenbergh, Y., Hazée, S., & Costers, A. (2018). Customer participation in service recovery: a meta-analysis. Marketing Letters, 29(4), 465-483.
Van Vaerenbergh, Y., Varga, D., De Keyser, A., & Orsingher, C. (2019). The service recovery journey: Conceptualization, integration, and directions for future research. Journal of Service Research, 22(2), 103–119.
Voorhis, C. R., & Morgan, B. L. (2007). Understanding Power and Rules of Thumb for Determining Sample Sizes. Tutorials in Quantitative Methods for Psychology, 3(2), 43-50.
Verkijika, S., & De Wet, L. (2019). Understanding word-of-mouth (WOM) intentions of mobile app users: The role of simplicity and emotions during the first interaction. Telematics and Informatics, 41, 218-228.
Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer Engagement: Exploring Customer Relationships Beyond Purchase. Journal of Marketing Theory and Practice, 20(2), 122-146.
Xie, X. Z., Tsai, N. C., Xu, S. Q., & Zhang, B. Y. (2019). Does customer co-creation value lead to electronic word-of-mouth? An empirical study on the short-video platform industry. The Social Science Journal, 56(3), 401-416.
Xu, Y., Tronvoll, B., & Edvardsson, B. (2014). Recovering service failure through resource integration. The Service Industries Journal, 34(16), 1253-1271.
Xu, X., Liu, W., & Gursoy, D. (2019). The impacts of service failure and recovery efforts on airline customers’ emotions and satisfaction. Journal of Travel Research, 58(6), 1034-1051.
Zhu, Z., Nakata, C., Sivakumar, K., & Grewal, D. (2013). Fix it or leave it? customer recovery from self-service technology failures. Journal of Retailing, 89(1), 15-29.
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