Customer Choice: A Preemptive Strategy to Buffer the Effects of Service Failure and Improve Customer Loyalty

2004 ◽  
Vol 28 (1) ◽  
pp. 3-20 ◽  
Author(s):  
David Cranage ◽  
Harish Sujan
10.1002/cb.67 ◽  
2002 ◽  
Vol 1 (3) ◽  
pp. 217-227 ◽  
Author(s):  
Francis Buttle ◽  
Jamie Burton

2017 ◽  
Vol 12 (10) ◽  
pp. 24
Author(s):  
Mauro Sciarelli ◽  
Abdelhakim A. Nagm ◽  
Mona I. Dakrory ◽  
Mario Tani ◽  
Mohamed A. Khashan

This current study purposes to identify the relationships between service recovery strategies, service recovery satisfaction, and both dimensions of customer loyalty in regard to Internet providers using the partial least squares (PLS-SEM) approach on a sample of 430 internet customers in Egypt.This study contributes insights into how seven service recovery strategies affected customer loyalty with its both attitudinal and behavioral dimensions directly and indirectly via service recovery satisfaction. These insights are helpful for service managers faced with service failure and academicians interested in how service providers respond to service failures and customer dissatisfaction in the B2C context.The results of this study show that some SR strategies positively influence both service recovery satisfaction and customer loyalty toward internet providers. Furthermore, service recovery satisfaction positively influencing the customer loyalty. In addition, SRS plays a mediating role in the relationship between SR strategies and customer loyalty. The results highlight that internet service providers should implement SR strategies quickly and with an empathetic manner to satisfy customers and to encourage customer's loyalty. Finally, some implications and further research directions were presented.


2019 ◽  
Vol 64 ◽  
pp. 74-84
Author(s):  
Chih-Hung PAI ◽  
Kuo-Min KO ◽  
Troy SANTOS

Akamavi, R K., Mohamed, E., Pellmann, K., & Xu, Y. (2015). Key determinants of passenger loyalty in the low-cost airline business. Tourism Management, 46, 528-545. Baldus, B.J., Voorhees, C., & Calantone, R. (2015). Online brand community engagement: Scale development and validation. Journal of Business Research, 68(5), 978-985. Boo, H.V. (2017). Service Environment of Restaurants: Findings from the youth customers. Journal of Asian Behavioural Studies, 2(2), 67-77. Bowen, T.J., & Chen, S.L. (2015). Transitioning Loyalty Programs: A Commentary on the Relationship Between Customer Loyalty & Customer Satisfaction. International Journal of Contemporary Hospitality Management, 27(3), 415-430. Casidy, R., & Shin, H. (2015). The effects of harm directions and service recovery strategies on customer forgiveness and negative word-of-mouth intentions. Journal of Retailing and Consumer Services, 27, 103-112. Chang, J.H. (2017). The role of relationship on time and monetary compensation. The Service Industries Journal, 37, 915-935. Fan, A., Mattila, A.S., & Zhao, X. (2015). How does social distance impact customers’ complaint intentions? A cross-cultural examination. International Journal of Health Policy and Management, 47, 35-42. Gohary, A., Hamzelu, B., & Alizadeh, H. (2016). Please explain why it happened! How perceived justice and customer involvement affect post co-recovery evaluations: a study of Iranian online shoppers. Journal of Retailing and Consumer Services, 31, 127-142. Guo, L., Lotz, S.L., Tang, C., & Gruen, T.W. (2015). The role of perceived control in customer value cocreation and service recovery evaluation. Journal of Service Research, 19(1), 39-56. Heidenreich, S., Wittkowski, K., Handrich, M., & Falk, T. (2015). The dark side of customer co-creation: exploring the consequences of failed co-created services. The Journal of the Academy of Marketing Science, 43(3), 279-296. Hsu, C.L., & Lin, J.C.C. (2016). Effect of perceived value and social influences onmobile app stickiness and in-app purchase intention.Technological Forecasting and Social Change, 108, 42-53. Kashif, M., Zarkada, A., & Ramayah, T. (2016).The impact of attitude, subjective norms, and perceived behavioural control on managers’ intentions to behave ethically. Total Quality Management & Business Excellence, 29(5-6), 1-21. Li, M., Qiu, S.C., & Liu, Z., (2016). The Chinese way of response to hospitality service failure: The effects of face and guanxi. International Journal Hospital Management, 57, 18-29. Liu, S.Q., & Mattila, A.S. (2015). “I Want to Help” versus “I Am Just Mad” how affective commitment influences customer feedback decisions. Cornell Hospitality Quarterly, 56(2), 213-222. Oman, B., Pepur, M., & Arneric, J. (2016). The impact of service quality and sport-team identification on the repurchase intention. Journal of Contemporary Management Issues, 21(1), 19-46. Ozuem, W., Patel, A., Howell, K.E. & Lancaster, G. (2016). An Exploration of Consumers' Response to Online Service Recovery Initiatives. International Journal of Market Research, 59(1), 97-115. 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. Rezaei, S., Shahijan, M.K., Amin, M., & Ismail, W.K.W. (2016). Determinants ofapp stores continuance behavior: A pls path modellingapproach. Journal of Internet Commerce, 15(4), 408-440. Sengupta, S.A., Balaji, M., & Krishnan, B.C. (2015). How customers cope with service failure? A study of brand reputation and customer satisfaction. Journal of Business Research, 68(3), 665-674. Sloan, S., Bodey, K., & Gyrd-Jones, R. (2015). Knowledge sharing in online brand communities. Qualitative Market Research: An International Journal, 18(3), 320-345. Tan, C., Benbasat, I. & Cenfetelli, R.T. (2016). An Exploratory Study of the Formation and Impact of Electronic Service Failures. 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Effect of online brand community activity on customer purchase frequency. Information & Management, 52(7), 813-823. Yang, A., Chen, Y., & Huang, Y. (2017). Enhancing customer loyalty in tourism services: the role of customer-company identification and customer participation. Asia Pacific Journal of Tourism Research, 22(7), 735-746. Zhang, H., Zhang, K.Z., Lee, M.K., & Feng, F. (2015). Brand loyalty in enterprise microblogs: Influence of community commitment, IT habit, and participation. Information Technology & People, 28(2), 304-326.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ghazal Shams ◽  
Raouf Rather ◽  
Mohsin Abdur Rehman ◽  
Rab Nawaz Lodhi

Purpose In recent studies, tourism scholars focussed more on service failure and recovery. Thus satisfaction with service recovery (SSR) and outcome favourability in conjunction with service recovery (SR) and customers’ behavioural intention was given very little attention, while they are very attention-grabbing, particularly in marketing areas of hospitality and tourism studies. Using stealing thunder and co-creation-based strategies, this study aims to investigate the impact of SR on outcome favourability, and its association with SSR and customer loyalty. Design/methodology/approach To attain the objectives of the current study, data were collected through field survey by applying a random sampling technique from 346 regular customers four- and five-star hotels in the context of Iran. The structural equation modelling technique was applied for testing the measurement and relationship models of the study. Findings The findings of this research reveal a positive relationship between SR and outcome favourability. The findings also indicate that outcome favourability positively affects SSR and loyalty. Finally, SSR exerts a favourable and significant impact on customer loyalty. Research limitations/implications The study findings may have restricted applicability in different contexts other than four- and five-star hotels. Theoretically, the current research contributes insight into the dynamics of characterizing SR, outcome favourability, SSR and behavioural intention-based theoretical associations, as observed in the hospitality industry. Originality/value This study adopted an un-explored SR, outcome favourability and SSR theoretical perspectives to identify the strength and nature of relationships between them and discuss their important implications for academicians and hotel managers.


2017 ◽  
Vol 2 (2) ◽  
pp. 136
Author(s):  
Mia Antika

 The objectives of this research is to examine the impact of service recovery toward trust, and customer loyalty. To look at the connection between service recovery and customer loyalty this research used justice perspective that included procedural justice, interactional justice and distributive justice. The setting of this research was information technology business. The research was conducted in area of Surakarta regency with the customer phone operator as research respondent. This research used convinience sampling and employed 150 respondent that grouped by complaint and non-complaint customer. Regression analysis  was used in this research to analyse the data. Research indicated that procedural justice have significant impact toward customer satisfaction. In contrast, distributive and interactional justive did not significant impact toward customer satisfaction. This research also found that trust and customer satisfaction significantly impact toward trust and customer loyalty. In addition, this result found that non-complaint respondent were more trust and  loyalty than  customer who complaint to service which provided by phone operator. This indicated that service recovery did not enable to recover service failure.


2011 ◽  
Author(s):  
Yi-Shun Wang ◽  
Shun-Cheng Wu ◽  
Hsin-Hui Lin ◽  
Yu-Yin Wang

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