Evaluating and Developing Theories in the Information Systems Discipline
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This paper articulates a framework and criteria that can be used to evaluate the quality of theories. While the framework and criteria have general applicability, my focus is the evaluation of theories within the information systems discipline. To illustrate the usefulness of the framework and criteria, I show how they can be employed to pinpoint the strengths and weaknesses of a theory which, based upon citation evidence, has had a significant impact on other researchers within the information systems discipline. Because the evaluation of existing theories often provides the basis for refining existing theories or building new theories, I also show how the framework and criteria can be used to inform the development of high-quality theory.
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Understanding managers' perceptions of using AI requires a 'net valence approach that considers both benefits and concerns'.
“Understanding managers ' perceptions of using AI would, thus, require a ' net valence approach that considers both benefits and concerns ' (Breward et al., 2017, p.760) thereby being able to examine and explain the attributes of a whole rather than attributes of its parts (Venkatesh et al., 2016; Weber, 2012).”
From Understanding managers’ attitudes and behavioral intentions towards using artificial intelligence for organizational decision-making (2021) · cites this paper as Weber, 2012
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Fan, H., Lederman, R., Smith, S. P., & Chang, S. (2014) · Communications of the Association for Information Systems · doi:10.17705/1cais.03428 · Cited by 57 · see citing works
A Meta-theoretical framework for theory building in project management
Svejvig, P. (2021) · International Journal of Project Management · doi:10.1016/j.ijproman.2021.09.006 · Cited by 59 · see citing works
Representing Crowd Knowledge: Guidelines for Conceptual Modeling of User-generated Content
Lukyanenko, R., Parsons, J., Wiersma, Y. F., Wachinger, G., Huber, B., & Meldt, R. (2017) · Journal of the Association for Information Systems · doi:10.17705/1jais.00456 · Cited by 55 · see citing works
Informal Institutions and Internet-based Equity Crowdfunding
Kshetri, N. (2017) · Journal of International Management · doi:10.1016/j.intman.2017.07.001 · Cited by 56 · see citing works
Work System Theory as a Platform: Response to a Research Perspective Article by Niederman and March
Alter, S. (2015) · Journal of the Association for Information Systems · doi:10.17705/1jais.00398 · Cited by 54 · see citing works
A Systematic Review of Citations of UTAUT2 Article and Its Usage Trends
Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-68557-1_5 · Cited by 53 · see citing works
Arroyabe, I. F. D., Arranz, C. F. A., Arroyabe, M. F., & de Arróyabe, J. C. F. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102954 · Cited by 51 · see citing works
Understanding the Why, What, and How of Theories in IS Research
Mueller, B., & Urbach, N. (2017) · Communications of the Association for Information Systems · doi:10.17705/1cais.04117 · Cited by 49 · see citing works
Against Theory: With Apologies to Feyerabend
Hirschheim, R. (2019) · Journal of the Association for Information Systems · doi:10.17705/1jais.00569 · Cited by 51 · see citing works
Place-making: A Phenomenological Theory of Technology Appropriation
Riemer, K., & Johnston, R. B. (2012) · International Conference on Information Systems · Cited by 49 · see citing works
Distilling a body of knowledge for information systems development
Hassan, N. R., & Mathiassen, L. (2017) · Information Systems Journal · doi:10.1111/isj.12126 · Cited by 50 · see citing works
Useful Products in Information Systems Theorizing: A Discursive Formation Perspective
Hassan, N. R., Lowry, P. B., Tech, V., & Mathiassen, L. (2022) · Journal of the Association for Information Systems · doi:10.17705/1jais.00730 · Cited by 48 · see citing works
Consumer acceptance of drone-based technology for last mile delivery
Schmidt, S., & Saraceni, A. (2024) · Research in Transportation Economics · doi:10.1016/j.retrec.2023.101404 · Cited by 52 · see citing works
Boell, S. K. (2016) · Information and Organization · doi:10.1016/j.infoandorg.2016.11.002 · Cited by 48 · see citing works
IoT-commerce - opportunities for customers through an affordance lens
Bayer, S., Gimpel, H., & Rau, D. (2020) · Electronic Markets · doi:10.1007/s12525-020-00405-8 · Cited by 47 · see citing works
An integrated framework for theories of individual attitudes toward technology
Tate, M., Evermann, J., & Gable, G. G. (2015) · Information & Management · doi:10.1016/j.im.2015.06.005 · Cited by 48 · see citing works
A Critical Realist Guide to Developing Theory with Systematic Literature ReviewsPreprint
Okoli, C. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2115818 · Cited by 49 · see citing works
Bag, S., Luthra, S., Mangla, S. K., & Kazançoğlu, Y. (2021) · The International Journal of Logistics Management · doi:10.1108/ijlm-06-2020-0237 · Cited by 53 · see citing works
E-learning adoption by undergraduate architecture students: facilitators and inhibitors
Tandon, U., Mittal, A., Bhandari, H., & Bansal, K. (2021) · Engineering Construction & Architectural Management · doi:10.1108/ecam-05-2021-0376 · Cited by 44 · see citing works
The Pursuit of Innovative Theory in the Digital Age
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Theories in Business and Information Systems Engineering
Bichler, M., Frank, U., Avison, D., Malaurent, J., Fettke, P., Hovorka, D. S., Krämer, J., Schnurr, D., Müller, B., Suhl, L. M., et al. (2016) · Business & Information Systems Engineering · doi:10.1007/s12599-016-0439-z · Cited by 41 · see citing works
Generating and Justifying Design Theory
Mandviwalla, M. (2015) · Journal of the Association for Information Systems · doi:10.17705/1jais.00397 · Cited by 39 · see citing works
Mäntymäki, M., Islam, A. K. M. N., Turel, O., & Dhir, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121660 · Cited by 42 · see citing works
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Eight Obstacles to Overcome in the Theory Testing Genre
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The “Theoretical Lens” Concept: We All Know What it Means, but do We All Know the Same Thing?
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The Ions of Theory Construction
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The mindful leader: a review of leadership qualities derived from mindfulness meditation
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Thoughts on Current and Future Research on Agile and Lean: Ensuring Relevance and Rigor
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Researching the virtual: A framework for reflexivity in qualitative social media research
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Transformative rare events: Leveraging digital affordance actualisation
Henningsson, S., Kettinger, W. J., Zhang, C. G., & Vaidyanathan, N. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1860656 · Cited by 33 · see citing works
When Is an Affordance? Outlining Four Stances
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Toward a Social Ontology for Conceptual Modeling
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Unravelling the relationship between response time and user experience in mobile applications
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Assessing the telemedicine acceptance for adults in Brazil
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Self-citation
- Authors
- Monash University, & Weber, R.
- Affiliations
- CPA Australia (AU)
- Corresponding author
- Weber, Ron
- ORCID
- Weber, Ron
- Venue
- Journal of the Association for Information Systems
- Publisher
- Association for Information Systems
- Published
- 2012-01
- Volume
- 13
- Issue
- 1
- Pages
- 1-30
- ISSN
- 1536-9323 (ISSN-L)
- OpenAlex
- W110163661
- Cited by
- 344
- References
- 79
- Citations by year
- 2026: 8 · 2025: 17 · 2024: 16 · 2023: 26 · 2022: 23 · 2021: 37 · 2020: 34 · 2019: 24 · 2018: 21 · 2017: 20 · 2016: 26 · 2015: 31 · 2014: 29 · 2013: 24 · 2012: 8
- FWCI
- 97.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the Association for Information Systems (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Funders
- Australian National University
- Topics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Decision Sciences › Management Science and Operations Research › Business Strategies and Management Research
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Keywords
- theory evaluation, theory development, information systems theory, evaluation criteria, citation analysis, theory refinement, research quality
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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