The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Risk Uncertainty and Supply Chain Decisions: A Real Options Perspective
Abstract
Supply chain risk uncertainty can create severe repercussions, thus it is not surprising that research interest in supply chain risk has been growing. While extant inquiry is informative, there is a lack of investigations that center on supply chain investment decisions when facing high levels of risk uncertainty. Given the potential dollar value involved in these decisions, an understanding of how these supply chain decisions are made is of significant theoretical and practical importance. Real options theory, with its focus on decision making under conditions of uncertainty, is an appealing theoretical lens for this endeavor. In essence, real options theory asserts that managerial decisions center on creating and then exercising or not exercising certain opportunities. To date, theorizing about and investigations of real options have used firms as their focus. Not yet examined are real options within supply chains that cross firm boundaries and drive much of the competitive activity in the modern economy. Accordingly, we extend real options theory to the supply chain context by examining how different types of options are approached relative to supply chain project investments. Specifically, we theorize how the options will be related to perceived value under conditions of high supply chain risk uncertainty. Overall, our investigation builds knowledge by extending real options theory to the supply chain context and by providing evidence suggesting some options operate differently in supply chains than they do in firms.
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Determinants of corporate borrowing
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The impact of supply chain integration on performance: A contingency and configuration approach
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Representing and Testing Organizational Theories: A Holistic Construal
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Information Processing, Knowledge Development, and Strategic Supply Chain Performance
Hult, G. T. M., Ketchen, D. J., & Slater, S. F. (2004) · Academy of Management Journal · doi:10.5465/20159575 · Cited by 813
Self-citation
Cited by
Supply chain risk management: a literature review
Ho, W., Zheng, T., Yildiz, H., & Talluri, S. (2015) · International Journal of Production Research · doi:10.1080/00207543.2015.1030467 · Cited by 1,363
Supply-chain uncertainty: a review and theoretical foundation for future research
Simangunsong, E., Hendry, L. C., & Stevenson, M. (2012) · International Journal of Production Research · doi:10.1080/00207543.2011.613864 · Cited by 454
Pandemics and Supply Chain Management Research: Toward a Theoretical Toolbox*
Craighead, C. W., Ketchen, D. J., & Darby, J. L. (2020) · Decision Sciences · doi:10.1111/deci.12468 · Cited by 445
Self-citationOn 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
Srinivasan, M., Mukherjee, D., & Gaur, A. S. (2011) · European Management Journal · doi:10.1016/j.emj.2011.02.004 · Cited by 294
Metadata
- Authors
- Hult, G. T. M., Craighead, C. W., & Ketchen, Jr.
- Venue
- Decision Sciences
- Publisher
- Wiley
- Published
- 2010-08
- Volume
- 41
- Issue
- 3
- Pages
- 435-458
- ISSN
- 0011-7315 (ISSN-L)
- 1540-5915
- OpenAlex
- W2169346373
- Cited by
- 211
- References
- 7
- FWCI
- 19.91
- Type
- journal article
- Language
- en
- Open access
- closed
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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.