Cited 0 time in
How Customer Avoidance Leads to Customers Returning: A Longitudinal Study Concerning Online Travel Agencies
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Su, Zerui | - |
| dc.contributor.author | Ha, Hong-Youl | - |
| dc.date.accessioned | 2025-04-15T01:00:13Z | - |
| dc.date.available | 2025-04-15T01:00:13Z | - |
| dc.date.issued | 2025-02 | - |
| dc.identifier.issn | 0718-1876 | - |
| dc.identifier.issn | 0718-1876 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/58220 | - |
| dc.description.abstract | Customers' intentions to avoid a product or service tend to be dynamic. Thus, this study aims to explore the influence of trajectory changes in customers' avoidance after service recovery on relationship strength, negative word-of-mouth (WOM) intentions, and revisit intentions. Using a longitudinal approach with three-month lag intervals, we implement a latent growth model analysis to test our proposed hypotheses. Our findings demonstrate that customers' desire to engage in avoidance after a service failure evolves, but its impact wanes. As avoidance decreases, negative WOM intentions likewise decline, and intentions to revisit a firm (which, in this study, is a travel agency) increase, thereby attenuating an avoidance-becomes-defection effect over time. Meanwhile, relationship strength initially grows but then weakens after service recovery. In contrast, negative WOM intentions slightly decrease from the early to mid-stage, followed by an increase in the late stage. Furthermore, relationship strength does not affect negative WOM or revisit intentions at the subsequent service recovery phase. Our findings offer innovative insights into upgrading customer avoidance perspectives regarding service recovery. We also present managerial implications regarding service recovery and customer relationship strategies that vary over time. | - |
| dc.format.extent | 19 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | How Customer Avoidance Leads to Customers Returning: A Longitudinal Study Concerning Online Travel Agencies | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/jtaer20010035 | - |
| dc.identifier.scopusid | 2-s2.0-105001341573 | - |
| dc.identifier.wosid | 001453182900001 | - |
| dc.identifier.bibliographicCitation | Journal of Theoretical and Applied Electronic Commerce Research, v.20, no.1, pp 1 - 19 | - |
| dc.citation.title | Journal of Theoretical and Applied Electronic Commerce Research | - |
| dc.citation.volume | 20 | - |
| dc.citation.number | 1 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 19 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | ssci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Business & Economics | - |
| dc.relation.journalWebOfScienceCategory | Business | - |
| dc.subject.keywordPlus | WORD-OF-MOUTH | - |
| dc.subject.keywordPlus | RELATIONSHIP STRENGTH | - |
| dc.subject.keywordPlus | RELATIONSHIP QUALITY | - |
| dc.subject.keywordPlus | BEHAVIORAL INTENTIONS | - |
| dc.subject.keywordPlus | DESTINATION IMAGE | - |
| dc.subject.keywordPlus | PERCEIVED JUSTICE | - |
| dc.subject.keywordPlus | SERVICE FAILURES | - |
| dc.subject.keywordPlus | SATISFACTION | - |
| dc.subject.keywordPlus | CONSUMERS | - |
| dc.subject.keywordPlus | RECOVERY | - |
| dc.subject.keywordAuthor | customer avoidance | - |
| dc.subject.keywordAuthor | relationship strength | - |
| dc.subject.keywordAuthor | negative word-of-mouth | - |
| dc.subject.keywordAuthor | longitudinal study | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
