The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
From Use to Effective Use: A Representation Theory Perspective
Abstract
Information systems must be used effectively to obtain maximum benefits from them. However, despite a great deal of research on when and why systems are used, very little research has examined what effective system use involves and what drives it. To move from use to effective use requires understanding an information system's nature and purpose, which in turn requires a theory of information systems. We draw on representation theory, which states that an information system is made up of several structures that serve to represent some part of the world that a user and other stakeholders must understand. From this theory, we derive a high-level framework of how effective use and performance evolve, as well as specific models of the nature and drivers of effective use. The models are designed to explain the effective use of any information system and offer unique insights that would not be offered by traditional views, which tend to consider information systems to be just another tool. We explain how our theory extends existing research, provides a rich platform for research on effective use, and how it contributes back to the theory of information systems from which it was derived.
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Cites
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Synthesizing information systems knowledge: A typology of literature reviews
Paré, G., Trudel, M.-C., Jaana, M., & Kitsiou, S. (2015) · Information & Management · doi:10.1016/j.im.2014.08.008 · Cited by 1,987
Adoption of AI-based chatbots for hospitality and tourism
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Ready or not, AI comes—an interview study of organizational AI readiness factors
Jöhnk, J., Weißert, M., & Wyrtki, K. (2021) · Business & Information Systems Engineering · doi:10.1007/s12599-020-00676-7 · Cited by 637
Baird, A., & Maruping, L. M. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15882 · Cited by 512
Adoption of artificial intelligence (AI) for talent acquisition in IT/ITeS organizations
Pillai, R., & Sivathanu, B. (2020) · Benchmarking: An International Journal · doi:10.1108/bij-04-2020-0186 · Cited by 422
Students' adoption of AI-based teacher-bots (T-bots) for learning in higher education
Pillai, R., Sivathanu, B., Metri, B., & Kaushik, N. (2024) · Information Technology & People · doi:10.1108/itp-02-2021-0152 · Cited by 176
Matook, S., Cummings, J., & Bala, H. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2014.1001282 · Cited by 117
The impact of legitimacy-based motives on IS adoption success: An institutional theory perspective
Krell, K., Matook, S., & Rohde, F. (2016) · Information & Management · doi:10.1016/j.im.2016.02.006 · Cited by 102
Ma, Q., Chan, A. H. S., & Teh, P.-L. (2020) · Sustainability · doi:10.3390/su12114555 · Cited by 73
Manipulating user resistance to large-scale information systems through influence tactics
Ilie, V., & Turel, O. (2020) · Information & Management · doi:10.1016/j.im.2019.103178 · Cited by 52
Ramaul, L., Ritala, P., Kostis, A., & Aaltonen, P. (2026) · Journal of Management Studies · doi:10.1111/joms.13246 · Cited by 41
Concrete or abstract: How chatbot response styles influence customer satisfaction
Zhu, Y., Zhang, J., & Liang, J. (2023) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2023.101317 · Cited by 37
Metadata
- Authors
- Burton-Jones, A., & Grange, C.
- Venue
- Information Systems Research
- Published
- 2013-09
- Volume
- 24
- Issue
- 3
- Pages
- 632-658
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W1975984347
- Cited by
- 487
- References
- 27
- FWCI
- 74.02
- Type
- journal article
- Language
- en
- Open access
- closed
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