Cited by 541Information Systems Theories and ImplementationQualitative Research Methods and ApplicationsQualitative Research Methods and Ethics

Pragmatism vs interpretivism in qualitative information systems research

Open access
Goldkuhl, Göran·2012·European Journal of Information Systems

Abstract

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

Crossref · 10.1057/ejis.2011.54

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Goldkuhl, G.
Affiliations
Linköping University (SE)
Corresponding author
Goldkuhl, Göran
Venue
European Journal of Information Systems
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
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