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Toward a structural view of co‐opetition in supply networks

Pathak, Surya D., Wu, Zhaohui, Johnston, David·2014·Journal of Operations Management

Abstract

Co‐opetition, or simultaneous competition and cooperation, in the supply chain management literature has been treated as a dyadic relational phenomenon where the buyer's strategy is considered to be the primary driver. In this paper, we move beyond the dyadic view and propose a theory of co‐opetition in supply networks. We argue that as firms within a supply network interact over time to access, share, and transform resources, new ties between firms are formed and existing ties dissolve, giving rise to co‐opetition dynamics at the network level. Taking a configurational approach, we employ the inter‐related dimensions of ties between firm, firm‐level task, network‐level objective, and governance to specify four practical supply network archetypes that cover a wide range of economic activities. We then explain how coopetitive relationships may evolve in these supply network archetypes. Specifically, we discuss how relationships form or dissolve in these archetypes and how local structural changes lead to co‐opetition dynamics at the network level. We also discuss the implications of such dynamics from a managerial perspective.

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Metadata

Authors
Pathak, S. D., Wu, Z., & Johnston, D.
Venue
Journal of Operations Management
Publisher
Wiley
Published
2014-04-16
Volume
32
Issue
5
Pages
254-267
ISSN
  • 0272-6963 (ISSN-L)
  • 1873-1317
OpenAlex
W2045496750
Cited by
223
References
7
FWCI
42.26
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward a structural view of co‐opetition in supply networks. https://app.cochat.ai/papers/10.1016/j.jom.2014.04.001
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Pathak, S. D., Wu, Z., & Johnston, D. (2014). Toward a structural view of co‐opetition in supply networks. Journal of Operations Management. https://doi.org/10.1016/j.jom.2014.04.001

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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.