The dynamic outcomes of service recovery in tourism services: A latent growth modeling approach
- Authors
- Zhi, Luyao; Ha, Hong-Youl
- Issue Date
- Jun-2024
- Publisher
- Elsevier BV
- Keywords
- Behavioral intentions; Customer attitudes; Customer forgiveness; Latent growth modeling; Service recovery
- Citation
- Journal of Hospitality and Tourism Management, v.59, pp 70 - 80
- Pages
- 11
- Indexed
- SSCI
SCOPUS
- Journal Title
- Journal of Hospitality and Tourism Management
- Volume
- 59
- Start Page
- 70
- End Page
- 80
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/21950
- DOI
- 10.1016/j.jhtm.2024.03.006
- ISSN
- 1447-6770
1839-5260
- Abstract
- The cross-sectional focus of service recovery literature can lead to a static effect or snapshot view of consumer responses; however, the dynamic outcomes of service recovery should play an important role in driving performance. Using a longitudinal approach, this study focuses on the dynamic changes in customers’ psychological responses during service recovery events. This study provides strong evidence that customer forgiveness and attitudes shift positively when service recovery efforts increase rapidly. We also no difference in the initial value of customer forgiveness, whereas its rate of change rises sharply toward behavioral intentions. Interestingly, the mean of customer forgiveness drops between T1 and T2 and increases sharply again at T3 (constituting a U-shaped curve). In contrast, the mean of customer attitudes steadily increases from T1 to T3. Therefore, we demonstrate that customer forgiveness and attitude trajectories vary, and their impacts can be extended or diluted during service recovery events. Thus, our research highlights that dynamic pathways are essential because they significantly influence behavioral intentions beyond the impact of the static levels, resulting in dynamic pathways playing a fundamental role in driving recovery performance. © 2024 The Authors
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Collections - College of the Social Science > Department of International Trade > 1. Journal Articles

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