TY - JOUR
T1 - The dynamic outcomes of service recovery in tourism services
T2 - A latent growth modeling approach
AU - Zhi, Luyao
AU - Ha, Hong Youl
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024/6
Y1 - 2024/6
N2 - 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.
AB - 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.
KW - Behavioral intentions
KW - Customer attitudes
KW - Customer forgiveness
KW - Latent growth modeling
KW - Service recovery
UR - https://www.scopus.com/pages/publications/85189513633
U2 - 10.1016/j.jhtm.2024.03.006
DO - 10.1016/j.jhtm.2024.03.006
M3 - Article
AN - SCOPUS:85189513633
SN - 1447-6770
VL - 59
SP - 70
EP - 80
JO - Journal of Hospitality and Tourism Management
JF - Journal of Hospitality and Tourism Management
ER -