The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Users' personality and perceived ease of use of digital libraries: The case for resistance to change
Abstract
The use of digital libraries has seen steady growth in the past two decades. However, as with other new technologies, effective use of digital libraries depends on user acceptance, which in turn is affected by users' perception of the system's ease of use. Since the introduction of new technologies often involves some form of change for users, the recent identification of the resistance to change (RTC) personality trait, and the development of a scale to measure it, provides an opportunity to assess the impact of RTC on new users of a digital library system. Drawing on prior research focused on personal differences and system characteristics as determinants of perceived ease of use, in the present study we explore the relationship between RTC and perceived ease of use of a university digital library. The results of a survey of 170 new users of the library system suggest that RTC is a significant determinant of perceived ease of use, and improves the explanatory power of previous technology‐acceptance models. Implications of the findings are discussed.
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Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
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The Technology Acceptance Model: Past, Present, and Future
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Cited by
Shroff, R. H., Deneen, C. C., & Ng, E. M. W. (2011) · Australasian Journal of Educational Technology · doi:10.14742/ajet.940 · Cited by 349
Heidenreich, S., & Handrich, M. (2015) · Journal of Product Innovation Management · doi:10.1111/jpim.12161 · Cited by 292
Nuryyev, G., Wang, Y.-P., Achyldurdyyeva, J., Jaw, B.-S., Yeh, Y.-S., Lin, H.-T., & Wu, L.-F. (2020) · Sustainability · doi:10.3390/su12031256 · Cited by 283
Factors influencing the adoption of e-Government services in Mauritius
Lallmahomed, M. Z. I., Lallmahomed, N., & Lallmahomed, G. M. (2017) · Telematics and Informatics · doi:10.1016/j.tele.2017.01.003 · Cited by 264
Navigating the Complexity of Generative AI Adoption in Software Engineering
Russo, D. (2024) · ACM Transactions on Software Engineering and Methodology · doi:10.1145/3652154 · Cited by 217
“This iterative process facilitates initial theory development by identifying patterns and broader dimensions [39], derived from continual data comparison and analysis, and refining it in accordance with the participants’ input [50].”
Method
Metadata
- Authors
- Nov, O., & Ye, C.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2008-01-31
- Volume
- 59
- Issue
- 5
- Pages
- 845-851
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W4251485102
- Cited by
- 165
- References
- 9
- FWCI
- 18.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
