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Cited by 269

The DOI matches its Crossref record; 114 of the 114 references it cites were found in a registry or an index.

Theorizing Through Literature Reviews: The Miner-Prospector Continuum

Open access
Breslin, Dermot, Gatrell, Caroline·2023·Organizational Research Methods

Abstract

While literature reviews play an increasingly important role in theory development, understanding how they contribute to the process of theorizing is lacking. This article develops the metaphor of a miner-prospector continuum, which allows review scholars to identify approaches taken in literature reviews to develop theory. We identify eight strategies located on a continuum ranging from miners—who position their contributions within a bounded and established domain of study alongside other researchers—to prospectors, who are more likely to step outside disciplinary boundaries, introducing novel perspectives and venture beyond knowledge silos. We explore the pathways between miner and prospector in terms of strategies followed, choices made, risks borne, and benefits gained. We identify the roles to be played by different stakeholders in balancing the mix between miners and prospectors. While respecting the need for both miner and prospector approaches, we suggest that collective efforts toward encouraging prospector reviews could assist management research in tackling, through reviews, the complex challenges facing organizations and society today.

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Metadata

Authors
Breslin, D., & Gatrell, C.
Venue
Organizational Research Methods
Published
2020-08-06
Volume
26
Issue
1
Pages
139-167
ISSN
  • 1094-4281 (ISSN-L)
  • 1552-7425
OpenAlex
W3047881784
Cited by
269
References
114
FWCI
15.46
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Theorizing Through Literature Reviews: The Miner-Prospector Continuum. https://app.cochat.ai/papers/10.1177/1094428120943288
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Breslin, D., & Gatrell, C. (2023). Theorizing Through Literature Reviews: The Miner-Prospector Continuum. Organizational Research Methods. https://doi.org/10.1177/1094428120943288

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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.