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Descriptive Trajectories of How Service Innovation Shapes Customer Exit Intentions in Online Travel Agenciesopen access

Authors
Xia, YingxueHa, Hong-Youl
Issue Date
Oct-2025
Publisher
MDPI
Keywords
service innovation; switching intentions; brand hate; brand distrust; temporal dynamics
Citation
Journal of Theoretical and Applied Electronic Commerce Research, v.20, no.4, pp 1 - 18
Pages
18
Indexed
SSCI
SCOPUS
Journal Title
Journal of Theoretical and Applied Electronic Commerce Research
Volume
20
Number
4
Start Page
1
End Page
18
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/62705
DOI
10.3390/jtaer20040280
ISSN
0718-1876
0718-1876
Abstract
This study examines the descriptive trajectories through which service innovation is associated with customer exit dynamics after service failures, drawing on a three-wave panel of 532 online travel agency users and employing partial least squares structural equation modeling with predictive assessment. We analyze how innovation is associated with switching intentions via brand hate and brand distrust over time. Results reveal distinct temporal patterns: service innovation is linked to consistent reductions in both hate and distrust, yet only hate emerges as a salient mediator whose marginal association with switching intensifies over time. In contrast, distrust, although mitigated by innovation, remains relatively stable and behaviorally inert. Rather than asserting a causal explanation, we document temporal associations-labelled here as a "dilution effect"-to indicate that innovation coincides with weakening negative emotions but only partial attenuation of their behavioral correlates. By distinguishing between the fading but influential role of hate and the persistent yet inert nature of distrust, this study clarifies differentiated pathways through which negative states coincide with customer exit. For managers, the results highlight the need for staged innovation strategies to dissipate hate, complemented by long-term trust-repair initiatives to address enduring distrust and reduce customer churn.
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