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Cited by 336

The DOI matches its Crossref record; 73 of the 73 references it cites were found in a registry or an index.

A practical guide for making theory contributions in strategic management

Makadok, Richard, Burton, Richard, Barney, Jay·2018·Strategic Management Journal

Abstract

Rather than introducing radical new “grand theory” paradigms, most theory contributions in strategic management extend, clarify, or apply received theories in new and interesting ways. Here we offer a guide on how to make these kinds of contributions to theory. Theory usually begins with a research question, which can come from the phenomenon of interest, variations/limitations of existing theory, or intellectual creativity. Along with the question, there are a number of more craftsmanship‐level aspects of a theory where contributions can be made: the mode of theorizing, the level of analysis, an understanding of the underlying phenomenon, causal mechanisms, constructs and variables, and boundary conditions. These aspects of the theory lead to a set of outcomes in the form of explanations, predictions, or prescriptions. The articles in this special issue are interpreted through our framework as illustrations of this approach to making theory contributions.

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Metadata

Authors
Makadok, R., Burton, R., & Barney, J.
Venue
Strategic Management Journal
Publisher
Wiley
Published
2018-05-09
Volume
39
Issue
6
Pages
1530-1545
ISSN
  • 0143-2095 (ISSN-L)
  • 1097-0266
OpenAlex
W2792878976
Cited by
336
References
73
FWCI
16.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A practical guide for making theory contributions in strategic management. https://app.cochat.ai/papers/10.1002/smj.2789
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Makadok, R., Burton, R., & Barney, J. (2018). A practical guide for making theory contributions in strategic management. Strategic Management Journal. https://doi.org/10.1002/smj.2789

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.