The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Extending the use of institutional theory in operations and supply chain management research: Review and research suggestions
Abstract
Purpose: – Increasing empirical evidence suggests organizational actions are not always driven by economic efficiency considerations, contrary to the rational decision making viewpoint dominant in the field. Institutional theory, examining the causes of isomorphism within organizations, provides an alternative viewpoint to the adoption of strategies and practices in managing operations and supply chains. Applications have so far been limited to few topics, such as quality management and adoption of electronic tools. This study aims to contribute to an increased understanding of the theory's explanatory value in the field by presenting central research avenues yet unexplored. Design/methodology/approach: – The paper begins with a review of the past institutional theory studies in the field. Important new contexts and research directions are then identified with the aim to increase understanding of how institutional factors operate in the field. Finally, a critical evaluation of empirical data collection and construct formation in the past and future studies is provided. Findings: – The paper identifies three major institutional theory related research avenues in the field with a potential for theoretical and practical contributions. Two of these – role of uncertainty and relationships between institutional pressures – serve to contribute to how the theory applies to different operational contexts. The third one recommends a reflection on the role of academia as a source and target of institutional pressures. Originality/value: – The discussion, debate and analysis offered is intended to stimulate and drive further institutional theory studies in the field with an increasing scope as well as more refined measurement in empirical work.
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Citations
Cites
Managing Legitimacy: Strategic and Institutional Approaches
Suchman, M. C. (1995) · The Academy of Management Review · doi:10.2307/258788 · Cited by 19,903
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
The Adolescence of Institutional Theory
Scott, W. R. (1987) · Administrative Science Quarterly · doi:10.2307/2392880 · Cited by 3,699
From the Editors: What Grounded Theory is Not
Suddaby, R. (2006) · Academy of Management Journal · doi:10.5465/amj.2006.22083020 · Cited by 2,859
Cited by
On Theory in Supply Chain Uncertainty and its Implications for Supply Chain Integration
Flynn, B. B., Koufteros, X., & Lu, G. (2016) · Journal of Supply Chain Management · doi:10.1111/jscm.12106 · Cited by 357
Rodríguez-Espíndola, O., Chowdhury, S., Dey, P. K., Albores, P., & Emrouznejad, A. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121562 · Cited by 279
Making a meaningful contribution to theory
Boer, H., Holweg, M., Kilduff, M., Pagell, M., Schmenner, R., & Voss, C. (2015) · International Journal of Operations & Production Management · doi:10.1108/ijopm-03-2015-0119 · Cited by 122
Metadata
- Authors
- Kauppi, K.
- Venue
- International Journal of Operations & Production Management
- Publisher
- Emerald
- Published
- 2013-09-16
- Volume
- 33
- Issue
- 10
- Pages
- 1318-1345
- ISSN
- 0144-3577 (ISSN-L)
- OpenAlex
- W1485523723
- Cited by
- 234
- References
- 4
- FWCI
- 18.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kauppi, K. (2013). Extending the use of institutional theory in operations and supply chain management research: Review and research suggestions. International Journal of Operations & Production Management. https://doi.org/10.1108/ijopm-10-2011-0364
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.