The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Supply networks and complex adaptive systems: control versus emergence
Abstract
In much of the current literature on supply chain management, supply networks are recognized as a system. In this paper, we take this observation to the next level by arguing the need to recognize supply networks as a complex adaptive system(CAS). We propose that many supply networks emerge rather than result from purposeful design by a singular entity. Most supply chain management literature emphasizes negative feedback for purposes of control; however, the emergent patterns in a supply network can much better be managed through positive feedback, which allows for autonomous action. Imposing too much control detracts from innovation and flexibility; conversely, allowing too much emergence can undermine managerial predictability and work routines. Therefore, when managing supply networks, managers must appropriately balance how much to control and how much to let emerge.
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Citations
Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Organizational Learning: A Theory of Action Perspective
Argyris, C., & Schön, D. A. (1997) · Reis · doi:10.2307/40183951 · Cited by 11,113 · cited 1×
“Agents possess schema that are both interpretive and behavioral (Argyris and Schön, 1978).”
Background
Cited by
Service research priorities in a rapidly changing context
Ostrom, A. L., Parasuraman, A., Bowen, D. E., Patrício, L., & Voss, C. A. (2015) · Journal of Service Research · doi:10.1177/1094670515576315 · Cited by 1,469
Balancing priorities: decision-making in sustainable supply chain management
Wu, Z., & Pagell, M. (2011) · Journal of Operations Management · doi:10.1016/j.jom.2010.10.001 · Cited by 956
Supply chain risk management: a new methodology for a systematic literature review
Colicchia, C., & Strozzi, F. (2012) · Supply Chain Management: An International Journal · doi:10.1108/13598541211246558 · Cited by 750
Eckstein, D., Goellner, M., Blome, C., & Henke, M. (2015) · International Journal of Production Research · doi:10.1080/00207543.2014.970707 · Cited by 581
Wilhelm, M. M., Blome, C., Bhakoo, V., & Paulraj, A. (2016) · Journal of Operations Management · doi:10.1016/j.jom.2015.11.001 · Cited by 539
Metadata
- Authors
- Choi, T. Y., Dooley, K. J., & Rungtusanatham, M.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2001-03-19
- Volume
- 19
- Issue
- 3
- Pages
- 351-366
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2169589185
- Cited by
- 1,607
- References
- 2
- FWCI
- 29.61
- Type
- journal article
- Language
- en
- Open access
- closed
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- Choi, T. Y., Dooley, K. J., & Rungtusanatham, M. (2001). Supply networks and complex adaptive systems: control versus emergence. Journal of Operations Management. https://doi.org/10.1016/s0272-6963(00)00068-1
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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.