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Cited by 7,502Business Strategies and Management ResearchQualitative Research Methods and ApplicationsBusiness and Management Studies

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Strategies for Theorizing from Process Data

Langley, Ann·1999·The Academy of Management Review
DOI 10.5465/amr.1999.2553248
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Abstract

In this article I describe and compare a number of alternative generic strategies for the analysis of process data, looking at the consequences of these strategies for emerging theories. I evaluate the strengths and weaknesses of the strategies in terms of their capacity to generate theory that is accurate, parsimonious, general, and useful and suggest that method and theory are inextricably intertwined, that multiple strategies are often advisable, and that no analysis strategy will produce theory without an uncodifiable creative leap, however small. Finally, I argue that there is room in the organizational research literature for more openness within the academic community toward a variety of forms of coupling between theory and data.

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Crossref · 10.2307/259349

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107 of 107 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Langley, A.
Affiliations
Université du Québec à Montréal (CA)
Corresponding author
Langley, Ann
ORCID
Langley, Ann
Venue
The Academy of Management Review
Publisher
Academy of Management
Published
1999-10
Volume
24
Issue
4
Pages
691
ISSN
0363-7425 (ISSN-L)
DOI
10.5465/amr.1999.2553248
OpenAlex
W2115497642
Semantic Scholar
419fd94ab6cccf99829edebee437ef9755829fba
Cited by
7,008
References
106
Citations by year
2026: 578 · 2025: 535 · 2024: 482 · 2023: 445 · 2022: 507 · 2021: 504 · 2020: 450 · 2019: 398 · 2018: 374 · 2017: 329 · 2016: 267 · 2015: 289 · 2014: 283 · 2013: 261 · 2012: 231
FWCI
28.66
Type
journal article
Language
en
Open access
closed
Locations
Academy of Management Review (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
  • Social Sciences › Education › Qualitative Research Methods and Applications
  • Social Sciences › Business, Management and Accounting › Business and International Management › Business and Management Studies
Keywords
process data, theorizing, theory generation, parsimony, generalizability, organizational analysis

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