The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Action research for operations management
Abstract
A fundamental methodological question guides this paper: How can operations managers and researchers learn from the applied activity that characterises the practice of OM? To address this question, defines and explores the legitimacy of an action‐oriented research approach in OM, and the particular logic and value of applying action research (AR) to the description and understanding of issues in OM. Begins with a review of the role of empirical research in OM and how AR features within the OM research literature. Introduces the theory and practice of AR and outlines the AR cycle and how AR is implemented. Finally, describes the skills required to engage in AR and explores issues in generating theory. Concludes with the assertion that AR is relevant and valid for the discipline of OM in its ability to address the operational realities experienced by practising managers while simultaneously contributing to knowledge.
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Cites
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Empirical research methods in operations management
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Adams, C. A., & McNicholas, P. (2007) · Accounting, Auditing & Accountability Journal · doi:10.1108/09513570710748553 · Cited by 567
Managing Co-creation Design: A Strategic Approach to Innovation
Frow, P., Nenonen, S., Payne, A., & Storbacka, K. (2015) · British Journal of Management · doi:10.1111/1467-8551.12087 · Cited by 518
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Estudo de caso na engenharia de produção: estruturação e recomendações para sua condução
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Metadata
- Authors
- Coughlan, P., & Coghlan, D.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2002-02-01
- Volume
- 22
- Issue
- 2
- Pages
- 220-240
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W2066982277
- Cited by
- 1,526
- References
- 36
- FWCI
- 39.36
- Type
- journal article
- Language
- en
- Open access
- closed
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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.