Pragmatism vs interpretivism in qualitative information systems research
Open accessAbstract
Qualitative research is often associated with interpretivism, but alternatives do exist. Besides critical research and sometimes positivism, qualitative research in information systems can be performed following a paradigm of pragmatism. This paradigm is associated with action, intervention and constructive knowledge. This paper has picked out interpretivism and pragmatism as two possible and important research paradigms for qualitative research in information systems. It clarifies each paradigm in an ideal-typical fashion and then conducts a comparison revealing commonalities and differences. It is stated that a qualitative researcher must either adopt an interpretive stance aiming towards an understanding that is appreciated for being interesting; or a pragmatist stance aiming for constructive knowledge that is appreciated for being useful in action. The possibilities of combining pragmatism and interpretivism in qualitative research in information systems are analysed. A research case (conducted through action research (AR) and design research (DR)) that combines interpretivism and pragmatism is used as an illustration. It is stated in the paper that pragmatism has influenced IS research to a fairly large extent, albeit in a rather implicit way. The paradigmatic foundations are seldom known and explicated. This paper contributes to a further clarification of pragmatism as an explicit research paradigm for qualitative research in information systems. Pragmatism is considered an appropriate paradigm for AR and DR.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Qualitative research in information sciences may not always follow the same reporting conventions as in the social sciences or health disciplines.
“However, it is important to note that qualitative research in information sciences may not always follow the same reporting conventions as in the social sciences or health disciplines. In information sciences, qualitative studies often prioritize pragmatism over theoretical grounding or re fl exive positionality of the researcher [24].”
From Human Performance in Deepfake Detection: A Systematic Review (2025) · cites this paper as [24]
Cites
Design Science in Information Systems Research1
Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004) · MIS Quarterly · doi:10.2307/25148625 · Cited by 10,707 · see citing works
The Duality of Technology: Rethinking the Concept of Technology in Organizations
Orlikowski, W. J. (1992) · Organization Science · doi:10.1287/orsc.3.3.398 · Cited by 4,957 · see citing works
Orlikowski, W. J. (2000) · Organization Science · doi:10.1287/orsc.11.4.404.14600 · Cited by 4,760 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Zhang, M., Scandiffio, J., Younus, S., Jeyakumar, T., Karsan, I., Charow, R., Salhia, M., & Wiljer, D. (2023) · JMIR Formative Research · doi:10.2196/47847 · Cited by 67 · see citing works
“The research explores some part of reality with the intent of generating knowledge for a deliberate change and improvement [30].”
BackgroundHuman Performance in Deepfake Detection: A Systematic Review
Somoray, K., Miller, D. J., & Holmes, M. (2025) · Human Behavior and Emerging Technologies · doi:10.1155/hbe2/1833228 · Cited by 19 · see citing works
- Authors
- Goldkuhl, G.
- Affiliations
- Linköping University (SE)
- Corresponding author
- Goldkuhl, Göran
- ORCID
- Goldkuhl, Göran
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2012-03
- Volume
- 21
- Issue
- 2
- Pages
- 135-146
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W2111645774
- Cited by
- 541
- References
- 3
- Citations by year
- 2026: 59 · 2025: 44 · 2024: 43 · 2023: 44 · 2022: 44 · 2021: 51 · 2020: 41 · 2019: 46 · 2018: 41 · 2017: 34 · 2016: 29 · 2015: 25 · 2014: 23 · 2013: 15 · 2012: 2
- FWCI
- 42.86
- Type
- journal article
- Language
- en
- Open access
- green
- urn.kb.se
- Licence
- Locations
- European Journal of Information Systems (publishedVersion)
- KTH Publication Database DiVA (KTH Royal Institute of Technology) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Information Systems Theories and Implementation
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- pragmatism, interpretivism, research paradigms, action research, design research, critical research, positivism, constructive knowledge, paradigm comparison
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 ›
Are you an author, or do you see a problem with this page? Request a review