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Exploring Cloud-Based Bookstore Continuance from a Deconstructed Task–Technology Fit Perspective

Authors :
Ming-Chien Hung
Paul C. Talley
Kuang-Ming Kuo
Mai-Lun Chiu
Source :
Journal of Theoretical and Applied Electronic Commerce Research, Vol 16, Iss 3, Pp 356-376 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

In an effort to help organizations understand consumers, our study deconstructs task–technology fit into two segments: ideal task–technology fit and individual use context–technology fit. Users’ continuous use of cloud-based bookstores is studied through survey methodology to collect consumer experience data related to the use of such cloud-based bookstores. In total, 185 samples were collected. Analytical results demonstrated that both ideal task–technology fit and individual use context–technology fit were significantly associated with the confirmation of users’ expectations as related to cloud-based bookstores. Expectation confirmation and ideal task–technology fit also have a significant link to users’ perceived usefulness and satisfaction, respectively. Furthermore, perceived usefulness significantly predicts satisfaction. Finally, perceived usefulness and satisfaction are also significantly associated with a users’ continuous use of cloud-based bookstores. As a result of this study’s findings, system administrators may foster suitable strategies for an improvement of users’ continuous use of cloud-based bookstores.

Details

Language :
English
ISSN :
07181876
Volume :
16
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Journal of Theoretical and Applied Electronic Commerce Research
Publication Type :
Academic Journal
Accession number :
edsdoj.97cddccca64e4a1a8728d74217ba3c86
Document Type :
article
Full Text :
https://doi.org/10.3390/jtaer16030023