Managing service recovery experience: Effects of the forgiveness for older consumers
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DOI: 10.1016/j.jretconser.2020.102222
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Cited by:
- Park, Jein & Han, Semi, 2023. "Investigating older consumers’ acceptance factors of autonomous vehicles," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
- Chen, Ke & Wu, Zhan & Sharma, Piyush, 2023. "Role of downward versus upward social comparison in service recovery: Testing a mediated moderation model with two empirical studies," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
- Zengmao Yang & Jinlai Zhou & Hongjun Yang, 2023. "The Impact of AI’s Response Method on Service Recovery Satisfaction in the Context of Service Failure," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
- Honora, Andreawan & Chih, Wen-Hai & Wang, Kai-Yu, 2022. "Managing social media recovery: The important role of service recovery transparency in retaining customers," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
- Xu, Xing'an & Liu, Juan & Gursoy, Dogan, 2022. "Emotional intelligence similarity in service recovery," Annals of Tourism Research, Elsevier, vol. 96(C).
- Zhuang, Zheng-Yun & Chung, Cheng-Kung, 2024. "Dissecting the visiting willingness of driving visitors facing a retail market's dual-pricing policy for parking," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
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Keywords
Service recovery; Older consumers; Forgiveness; SEM;All these keywords.
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