Cited 22 time in
Lady first? The gender difference in the influence of service quality on online consumer behavior
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Weihua | - |
| dc.contributor.author | Kim, Saebum | - |
| dc.date.accessioned | 2024-12-03T00:00:45Z | - |
| dc.date.available | 2024-12-03T00:00:45Z | - |
| dc.date.issued | 2019-08 | - |
| dc.identifier.issn | 2040-8757 | - |
| dc.identifier.issn | 2040-8749 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/73246 | - |
| dc.description.abstract | Purpose This paper aims to articulate the gender differences in the influence of service quality on online consumer behavior. Design/methodology/approach Through data collected via a Web-based questionnaire survey from 330 consumers in China, this study builds and analyzes a structural equation model, using five dimensions of E-service quality, customer satisfaction and customer loyalty, and focuses on the moderation test of gender. Findings This study finds that first, efficiency dimension of e-service quality is of same importance for male and female customers; second, there are significant gender differences in the responsiveness and reliability dimensions of E-service quality, which affect customer satisfaction; third, the impact of female customer satisfaction on customer loyalty is stronger than for male customers. Originality/value The research validated the applicability of self-regulation theory in online consumer behavior, explored the occurrence stage and characteristics of gender differences in online consumer behavior under influence of SRT and first found some apparent gender differences in the influence of different dimensions of e-service quality on online consumer behavior. | - |
| dc.format.extent | 21 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | EMERALD GROUP PUBLISHING LTD | - |
| dc.title | Lady first? The gender difference in the influence of service quality on online consumer behavior | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1108/NBRI-07-2017-0039 | - |
| dc.identifier.scopusid | 2-s2.0-85059512573 | - |
| dc.identifier.wosid | 000480815500004 | - |
| dc.identifier.bibliographicCitation | NANKAI BUSINESS REVIEW INTERNATIONAL, v.10, no.3, pp 408 - 428 | - |
| dc.citation.title | NANKAI BUSINESS REVIEW INTERNATIONAL | - |
| dc.citation.volume | 10 | - |
| dc.citation.number | 3 | - |
| dc.citation.startPage | 408 | - |
| dc.citation.endPage | 428 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.description.journalRegisteredClass | esci | - |
| dc.relation.journalResearchArea | Business & Economics | - |
| dc.relation.journalWebOfScienceCategory | Management | - |
| dc.subject.keywordPlus | CUSTOMER PERCEIVED VALUE | - |
| dc.subject.keywordPlus | SOCIAL COGNITIVE THEORY | - |
| dc.subject.keywordPlus | MULTIPLE-ITEM SCALE | - |
| dc.subject.keywordPlus | DECISION-MAKING | - |
| dc.subject.keywordPlus | SEX-DIFFERENCES | - |
| dc.subject.keywordPlus | SHOP ONLINE | - |
| dc.subject.keywordPlus | SATISFACTION | - |
| dc.subject.keywordPlus | LOYALTY | - |
| dc.subject.keywordPlus | PERCEPTIONS | - |
| dc.subject.keywordPlus | TRUST | - |
| dc.subject.keywordAuthor | Customer loyalty | - |
| dc.subject.keywordAuthor | Customer satisfaction | - |
| dc.subject.keywordAuthor | Gender difference | - |
| dc.subject.keywordAuthor | E-service quality | - |
| dc.subject.keywordAuthor | Self-regulation theory | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. 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.
