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Complex Systems--A New Paradigm for the Integrative Study of Management, Physical, and Technological Systems

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  • Luis A. Nunes Amaral

    (Department of Management and Organizations, Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

  • Brian Uzzi

    (Department of Management and Organizations, Kellogg School of Management, Northwestern University, Evanston, Illinois 60208)

Abstract

In this introductory note, we describe the motivation for this special issue on complex systems. We begin by noting the potential management opportunities offered by recent advances in complexity science. After defining the nature of complex systems and the many ways they are expressed in organizations and markets, we briefly describe the main tools and concepts of complexity theory. We close with a brief review of the articles in this issue and their relevance to the interests and concerns of managers.

Suggested Citation

  • Luis A. Nunes Amaral & Brian Uzzi, 2007. "Complex Systems--A New Paradigm for the Integrative Study of Management, Physical, and Technological Systems," Management Science, INFORMS, vol. 53(7), pages 1033-1035, July.
    • Handle: RePEc:inm:ormnsc:v:53:y:2007:i:7:p:1033-1035
    DOI: 10.1287/mnsc.1060.0696
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    References listed on IDEAS

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    1. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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    Cited by:

    1. Hochull Choe & Duk Hee Lee, 2017. "The structure and change of the research collaboration network in Korea (2000–2011): network analysis of joint patents," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 917-939, May.
    2. Zhao, Jianyu & Wu, Guangdong & Xi, Xi & Na, Qi & Liu, Weiwei, 2018. "How collaborative innovation system in a knowledge-intensive competitive alliance evolves? An empirical study on China, Korea and Germany," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 128-146.
    3. Nicholas C. Georgantzas & Evangelos G. Katsamakas, 2008. "Information systems research with system dynamics," System Dynamics Review, System Dynamics Society, vol. 24(3), pages 247-264, September.
    4. Haghnevis, Moeed & Askin, Ronald G. & Armbruster, Dieter, 2016. "An agent-based modeling optimization approach for understanding behavior of engineered complex adaptive systems," Socio-Economic Planning Sciences, Elsevier, vol. 56(C), pages 67-87.
    5. Jarrahi, Mohammad Hossein & Sawyer, Steve, 2019. "Networks of innovation: the sociotechnical assemblage of tabletop computing," Research Policy, Elsevier, vol. 48(S).
    6. David L. Alderson, 2008. "OR FORUM---Catching the “Network Science” Bug: Insight and Opportunity for the Operations Researcher," Operations Research, INFORMS, vol. 56(5), pages 1047-1065, October.
    7. Mizgier, Kamil J. & Wagner, Stephan M. & Holyst, Janusz A., 2012. "Modeling defaults of companies in multi-stage supply chain networks," International Journal of Production Economics, Elsevier, vol. 135(1), pages 14-23.
    8. Christopher M. Schlick & Soenke Duckwitz & Sebastian Schneider, 2013. "Project dynamics and emergent complexity," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 480-515, December.
    9. Xingguang Chen & Zhentao Zhu, 2019. "Interactional Effects Between Individual Heterogeneity and Collective Behavior in Complex Organizational Systems," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 289-313, January.
    10. Gianpaolo Abatecola & Alberto Surace, 2020. "Discussing the Use of Complexity Theory in Engineering Management: Implications for Sustainability," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    11. Forrest Briscoe & Michelle Rogan, 2016. "Coordinating Complex Work: Knowledge Networks, Partner Departures, and Client Relationship Performance in a Law Firm," Management Science, INFORMS, vol. 62(8), pages 2392-2411, August.
    12. Alberto Sa Vinhas & Jan B. Heide & Sandy D. Jap, 2012. "Consistency Judgments, Embeddedness, and Relationship Outcomes in Interorganizational Networks," Management Science, INFORMS, vol. 58(5), pages 996-1011, May.
    13. Braha, Dan & Stacey, Blake & Bar-Yam, Yaneer, 2011. "Corporate competition: A self-organized network," MPRA Paper 32142, University Library of Munich, Germany.
    14. Håkansson, Håkan & Olsen, Per-Ingvar, 2012. "Innovation management in networked economies," jbm - Journal of Business Market Management, Free University Berlin, Marketing Department, vol. 5(2), pages 79-105.
    15. Peng-Xiang Li & Meng-Wu Zhang & You-Min Xi & Wen-Tian Cui, 2009. "Why organizational networks in reality do not show scale-free distributions," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 169-190, September.
    16. Ali Tosyali & Jeongsub Choi & Byunghoon Kim & Hoshin Lee & Myong K. Jeong, 2021. "A dynamic graph-based approach to ranking firms for identifying key players using inter-firm transactions," Annals of Operations Research, Springer, vol. 303(1), pages 5-27, August.

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