Complexity and Adaptivity in Supply Networks: Building Supply Network Theory Using a Complex Adaptive Systems Perspective
ABSTRACT Supply networks are composed of large numbers of firms from multiple interrelated industries. Such networks are subject to shifting strategies and objectives within a dynamic environment. In recent years, when faced with a dynamic environment, several disciplines have adopted the Complex Ad...
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Published in | Decision sciences Vol. 38; no. 4; pp. 547 - 580 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Blackwell Publishing Inc
01.11.2007
American Institute for Decision Sciences |
Subjects | |
Online Access | Get full text |
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Summary: | ABSTRACT
Supply networks are composed of large numbers of firms from multiple interrelated industries. Such networks are subject to shifting strategies and objectives within a dynamic environment. In recent years, when faced with a dynamic environment, several disciplines have adopted the Complex Adaptive System (CAS) perspective to gain insights into important issues within their domains of study. Research investigations in the field of supply networks have also begun examining the merits of complexity theory and the CAS perspective. In this article, we bring the applicability of complexity theory and CAS into sharper focus, highlighting its potential for integrating existing supply chain management (SCM) research into a structured body of knowledge while also providing a framework for generating, validating, and refining new theories relevant to real‐world supply networks. We suggest several potential research questions to emphasize how a CAS perspective can help in enriching the SCM discipline. We propose that the SCM research community adopt such a dynamic and systems‐level orientation that brings to the fore the adaptivity of firms and the complexity of their interrelations that are often inherent in supply networks. |
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Bibliography: | We sincerely thank Professors Thomas Choi (Arizona State University), David Dilts (Vanderbilt University), and Kevin Dooley (Arizona State University) for their help, guidance, and support. ark:/67375/WNG-3BJGC4DR-4 ArticleID:DECI170 istex:6680C2AC95BAC0B38D97A47B9647D77CE10126F5 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
ISSN: | 0011-7315 1540-5915 |
DOI: | 10.1111/j.1540-5915.2007.00170.x |