The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Structural drivers of upstream supply chain complexity and the frequency of supply chain disruptions
Abstract
A great deal of research has focused on supply chain risk management, but the question “Which supply chain characteristics increase the frequency of supply chain disruptions?” has not received much attention from empirical research. This is a relevant question, because firms seek stability in their operations, and therefore managers need to know how the structure of their supply chains affects the occurrence of disruptions. The present study addresses this issue with a specific focus on upstream supply chain (supply‐side) disruptions. Drawing on the literature on supply chain complexity, we devise and test a model that predicts the frequency of supply chain disruptions based on a multi‐dimensional conceptualization of upstream supply chain complexity. Not only do the empirical findings suggest that all of the three investigated complexity drivers – horizontal, vertical, and spatial complexity – increase the frequency of disruptions, but also that they interact and amplify each other's effects in a synergistic fashion.
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Citations
Cites
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
Reason, J. (1990) · doi:10.1017/cbo9781139062367 · Cited by 5,108
Task complexity: Definition of the construct
Wood, R. E. (1986) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(86)90044-0 · Cited by 1,393 · cited 1×
“With such increasing ask complexity, the boundary-spanning employees (logistics, purhasing, supply chain management) are less likely to sustain a ufficiently broad view to manage the risk of disruptions (Campbell, 988; Vachon and Klassen, 2002; Wood, 1986).”
BackgroundOrganizing to reduce the vulnerabilities of complexity.
Perrow, C. (1999) · Journal of Contingencies and Crisis Management · doi:10.1111/1468-5973.00108 · Cited by 222
Cited by
Reconfigurable supply chain: the X-network
Dolgui, A., Ivanov, D., & Sokolov, B. (2020) · International Journal of Production Research · doi:10.1080/00207543.2020.1774679 · Cited by 501
Munir, M., Jajja, M. S. S., Chatha, K. A., & Farooq, S. (2020) · International Journal of Production Economics · doi:10.1016/j.ijpe.2020.107667 · Cited by 452
Complexity Theory: An Overview with Potential Applications for the Social Sciences
Turner, J. R., & Baker, R. M. (2019) · Systems · doi:10.3390/systems7010004 · Cited by 372
A blockchain-based approach for a multi-echelon sustainable supply chain
Manupati, V. K., Schoenherr, T., Ramkumar, M., Wagner, S. M., Pabba, S. K., & Inder Raj Singh, R. (2020) · International Journal of Production Research · doi:10.1080/00207543.2019.1683248 · Cited by 341
Self-citationSocially Responsible Firms Outsource Less
Murcia, M. J., Panwar, R., & Tarzijan, J. (2021) · Business & Society · doi:10.1177/0007650319898490 · Cited by 56
Metadata
- Authors
- Bode, C., & Wagner, S. M.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2015-01-09
- Volume
- 36
- Issue
- 1
- Pages
- 215-228
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W1988395163
- Cited by
- 734
- References
- 4
- FWCI
- 85.16
- Type
- journal article
- Language
- en
- Open access
- closed
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