Cited 0 time in
Drivers of customers' efforts to cope with wearable device usage problems and the role of demographics in a study in China
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ren, Tianbao | - |
| dc.contributor.author | Le, Hoang Tran Phuoc Mai | - |
| dc.contributor.author | Park, Jungkun | - |
| dc.date.accessioned | 2024-12-20T07:55:21Z | - |
| dc.date.available | 2024-12-20T07:55:21Z | - |
| dc.date.issued | 2023-11 | - |
| dc.identifier.issn | 1355-5855 | - |
| dc.identifier.issn | 1758-4248 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/203861 | - |
| dc.description.abstract | Purpose: This study aims to investigate determinants such as performance expectancy (PE), health beliefs (HB), technological compatibility, trust and social influence (SI) of customers' efforts to cope with problems associated with using wearable health technology, thereby determining their use intention of such products. The moderating effect of the demographic variables is also investigated. Design/methodology/approach: An online survey was used to collect panel data from 285 respondents in China. Structural equation modeling was used to test the hypotheses, and interaction moderation was applied to test the moderating effect of the demographic variables. Findings: The results show that HB, technological compatibility, trust and SI significantly impact coping efforts associated with usage, which significantly influences intention to use. Only income significantly moderated the effect of coping efforts on the intention to use. Originality/value: This is the first study combining coping theory and UTAUT to develop a model of drivers that encourages customers to overcome the constraints of using wearable technologies. | - |
| dc.format.extent | 21 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Emerald Group Publishing Ltd. | - |
| dc.title | Drivers of customers' efforts to cope with wearable device usage problems and the role of demographics in a study in China | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1108/APJML-12-2022-1036 | - |
| dc.identifier.scopusid | 2-s2.0-85158161393 | - |
| dc.identifier.wosid | 000983896700001 | - |
| dc.identifier.bibliographicCitation | Asia Pacific Journal of Marketing and Logistics, v.35, no.11, pp 2727 - 2747 | - |
| dc.citation.title | Asia Pacific Journal of Marketing and Logistics | - |
| dc.citation.volume | 35 | - |
| dc.citation.number | 11 | - |
| dc.citation.startPage | 2727 | - |
| dc.citation.endPage | 2747 | - |
| dc.type.docType | Article; Early Access | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | ssci | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Business & Economics | - |
| dc.relation.journalWebOfScienceCategory | Business | - |
| dc.subject.keywordPlus | INFORMATION-TECHNOLOGY | - |
| dc.subject.keywordPlus | GENDER-DIFFERENCES | - |
| dc.subject.keywordPlus | DIGITAL LITERACY | - |
| dc.subject.keywordPlus | USER ACCEPTANCE | - |
| dc.subject.keywordPlus | INTERNET | - |
| dc.subject.keywordPlus | ADOPTION | - |
| dc.subject.keywordPlus | DETERMINANTS | - |
| dc.subject.keywordPlus | INTENTION | - |
| dc.subject.keywordPlus | MODEL | - |
| dc.subject.keywordAuthor | Chinese customers | - |
| dc.subject.keywordAuthor | Healthcare technology | - |
| dc.subject.keywordAuthor | Interaction moderation | - |
| dc.subject.keywordAuthor | Coping theory | - |
| dc.subject.keywordAuthor | Technology acceptance | - |
| dc.identifier.url | https://www.emerald.com/insight/content/doi/10.1108/APJML-12-2022-1036/full/html | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
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.
