Toward an understanding of Web‐based subscription database acceptance
Jong‐Ae Kim
Journal of the American Society for Information Science and Technology, 2006, vol. 57, issue 13, 1715-1728
Abstract:
Underutilization of Web‐based subscription databases and the importance of promoting them have been recognized in previous research. To determine the factors affecting user acceptance of Web‐based subscription databases, this study tests an integrated model of the antecedents and consequences of user beliefs about intended use by extending the technology acceptance model. The research employs a cross‐sectional field study using a Web survey method targeting undergraduate students who have experience with Web‐based subscription databases. Overall, the research model performs well in explaining user acceptance of Web‐based subscription databases. The effects of the cognitive instrumental determinants of usefulness perceptions are examined. Terminology clarity and accessibility were found to be important determinants for ease of use of the databases. The results indicate that user training has no impact on either perceptions of usefulness or ease of use, and that there is a need to reexamine the effectiveness of user training in the context of Web‐based subscription databases. The results suggest that user acceptance of the databases depends largely on the utility they offer. The findings also suggest that although a subjective norm does not directly affect intended use, it exerts a positive influence on user beliefs about the utility of the databases.
Date: 2006
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1002/asi.20355
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jamist:v:57:y:2006:i:13:p:1715-1728
Ordering information: This journal article can be ordered from
https://doi.org/10.1002/(ISSN)1532-2890
Access Statistics for this article
More articles in Journal of the American Society for Information Science and Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().