Cited by 841Qualitative Research Methods and ApplicationsInformation Systems Theories and ImplementationBusiness Strategies and Management Research

Putting the ‘theory’ back into grounded theory: guidelines for grounded theory studies in information systems

Open access
Urquhart, Cathy, Lehmann, Hans, Myers, Michael D.·2010·Information Systems Journal

Abstract

Over the past decade, there has been increasing interest in the use of grounded theory in information systems research. Grounded theory is a qualitative research method that seeks to develop theory that is grounded in data systematically gathered and analysed. The purpose of this paper is to suggest guidelines for grounded theory studies in information systems. Our guidelines are based on a framework for theorizing in grounded theory studies that focuses on conceptualization and theory scope. Our hope is that the guidelines will help to raise the quality and aspirations of grounded theory studies in information systems.

Integrity signals

Registry

Crossref · 10.1111/j.1365-2575.2009.00328.x

Cites

5 of 5 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?

  • Researchers in Information Systems have lamented that the term 'grounded theory' itself has almost become a blanket term for a way of coding data.

    “Researchers in Information Systems (which has considerable overlap with software engineering) have lamented that 'the term 'grounded theory' itself has almost become a blanket term for a way of coding data' [75].”
  • To increase the generalisability of the theory, clustering, theoretical coding, theoretical sorting, and diagramming were used to organise codes and memos visually and test possible relationships between codes.

    “To increase the generalisability of our theory, what Urquhart et al. (2010, p. 372) refer to as ‘scaling up the theory’, we used a combination of clustering (Charmaz 2014), theoretical coding (Charmaz 2014; Urquhart 2022), theoretical sorting (Charmaz 2014), and diagramming (Charmaz 2014; Urquhart 2022) to organise the codes and memos visually and tested various possible relationships between the”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Urquhart, C., Lehmann, H., & Myers, M. D.
Affiliations
  • University of Auckland (NZ)
  • Victoria University of Wellington (NZ)
Corresponding author
  • Urquhart, Cathy
  • Lehmann, Hans
  • Myers, Michael D.
Venue
Information Systems Journal
Publisher
Wiley
Published
2010-06-08
Volume
20
Issue
4
Pages
357-381
ISSN
  • 1350-1917 (ISSN-L)
  • 1365-2575
OpenAlex
W2132250213
Cited by
841
References
5
Citations by year
2026: 38 · 2025: 53 · 2024: 52 · 2023: 49 · 2022: 55 · 2021: 58 · 2020: 40 · 2019: 70 · 2018: 53 · 2017: 47 · 2016: 60 · 2015: 53 · 2014: 62 · 2013: 65 · 2012: 46
FWCI
120.83
Type
journal article
Language
en
Open access
Locations
  • Information Systems Journal (publishedVersion)
  • Loughborough University Institutional Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
  • e-space (Manchester Metropolitan University) (submittedVersion)
  • Loughborough University Research Repository (Loughborough University) (submittedVersion, cc-by-nc-nd)
  • ResearchSpace (University of Auckland) (submittedVersion)
Topics
  • Social Sciences › Education › Qualitative Research Methods and Applications
  • 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
Keywords
grounded theory, information systems research, qualitative research methodology, theory development, conceptualization, research guidelines

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