Resistant Groups in Enterprise System Implementations: A Q-Methodology Examination
Abstract
This paper is an initial investigation into types of user resistance and the management strategy expectations of users in a mandatory adoption setting. Despite its relationship to adoption, relatively little is known about user resistance. User resistance is investigated in the Enterprise System (ES) environment because the complexity and richness of ES leads users to manifest a large range of resistant behaviors and beliefs. Using Concourse Theory and Q-methodology, ES users are interviewed followed by the development of a Q-sort questionnaire, which was distributed to ES users. The results reveal eight user groups and address the management strategies preferred by each group. The results have implications for both research in the field of user resistance and adoption, and practitioners involved in system implementation.
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Adopting Q-methodology in IS research has proven valuable to investigate differences in decision-making of project managers, to segment the e-commerce industry based on subjective assessment, and to explore user resistance in enterprise implementation.
“Specifically, adopting a Q-methodology in IS research has proven to be valuable to investigate differences in the decision-making of project managers (Tractinsky and Jarvenpaa 1995), to segment the ecommerce industry based on the subjective assessment of e-commerce providers (Storey et al. 2000), and to explore user resistance in enterprise implementation (Klaus et al. 2010).”
From How affordances of chatbots cross the chasm between social and traditional enterprise systems (2020) · cites this paper as Klaus et al. 2010
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- Authors
- Klaus, T., Wingreen, S. C., & Blanton, J. E.
- Affiliations
- Texas A&M University – Corpus Christi (US)
- Troy University (US)
- University of South Florida (US)
- ORCID
- Wingreen, Stephen C
- Venue
- Journal of Information Technology
- Publisher
- SAGE Publications
- Published
- 2010-03
- Volume
- 25
- Issue
- 1
- Pages
- 91-106
- ISSN
- 0268-3962 (ISSN-L)
- 1466-4437
- OpenAlex
- W2002631807
- Semantic Scholar
- 7baeb6b03c67adf49fd0482308b16caa348d6450
- Cited by
- 71
- References
- 61
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 6 · 2017: 6 · 2016: 4 · 2015: 2 · 2014: 7 · 2013: 7 · 2012: 6
- FWCI
- 11.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Information Technology (publishedVersion)
- Journal of the Association for Information Systems (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Management Information Systems › ERP Systems Implementation and Impact
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Decision Sciences › Management Science and Operations Research › Q Methodology Applications
- Keywords
- user resistance, enterprise systems, mandatory adoption, management strategies, system implementation, Q methodology, user beliefs
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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