IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v131y2011i1p263-272.html
   My bibliography  Save this article

Assessing the influence of the organization in the supply chain management using NK simulation

Author

Listed:
  • Giannoccaro, Ilaria

Abstract

Supply chain management advocates that the whole supply chain (SC) from the material suppliers to the end customers must be managed by adopting an integrated approach. However, different forms of governance can be adopted to pursue integration, ranging from the pure market to the hierarchy. While integration has been extensively investigated in the literature by adopting an operative perspective, the organizational perspective has been less used. However, the way the SC is organized influences the SC performance. This topic is investigated by using a recent tool offered by complexity science, namely the NK simulation model. In the proposed NK model, N represents the decisions that SC firms should make and K the interdependencies among the SC decisions calling for integration. The model reproduces how the different SC forms of governance evolve and adapt to the landscape corresponding to a SC specific integration problem. A simulation analysis is carried out to identify the SC forms of governance appropriate to the SC integration problems.

Suggested Citation

  • Giannoccaro, Ilaria, 2011. "Assessing the influence of the organization in the supply chain management using NK simulation," International Journal of Production Economics, Elsevier, vol. 131(1), pages 263-272, May.
  • Handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:263-272
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925-5273(10)00430-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jan W. Rivkin, 2001. "Reproducing Knowledge: Replication Without Imitation at Moderate Complexity," Organization Science, INFORMS, vol. 12(3), pages 274-293, June.
    2. David Levy, 1994. "Chaos theory and strategy: Theory, application, and managerial implications," Strategic Management Journal, Wiley Blackwell, vol. 15(S2), pages 167-178, June.
    3. Storper, Michael & Harrison, Bennett, 1991. "Flexibility, hierarchy and regional development: The changing structure of industrial production systems and their forms of governance in the 1990s," Research Policy, Elsevier, vol. 20(5), pages 407-422, October.
    4. Bill McKelvey, 1999. "Avoiding Complexity Catastrophe in Coevolutionary Pockets: Strategies for Rugged Landscapes," Organization Science, INFORMS, vol. 10(3), pages 294-321, June.
    5. Myong-Hun Chang & Joseph E. Harrington, 2000. "Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System," Management Science, INFORMS, vol. 46(11), pages 1427-1440, November.
    6. Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2004. "Supply chain coordination by revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 89(2), pages 131-139, May.
    7. Berends, Peter & Romme, Georges, 1999. "Simulation as a research tool in management studies," European Management Journal, Elsevier, vol. 17(6), pages 576-583, December.
    8. Jan W. Rivkin, 2000. "Imitation of Complex Strategies," Management Science, INFORMS, vol. 46(6), pages 824-844, June.
    9. Daniel A. Levinthal, 1997. "Adaptation on Rugged Landscapes," Management Science, INFORMS, vol. 43(7), pages 934-950, July.
    10. GĂ©rard P. Cachon & Martin A. Lariviere, 2005. "Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations," Management Science, INFORMS, vol. 51(1), pages 30-44, January.
    11. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Giannoccaro, Ilaria, 2015. "Adaptive supply chains in industrial districts: A complexity science approach focused on learning," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 576-589.
    2. Shenglan Huang & Zhi Chen, 2017. "The Effects of Social Capital on Innovation Performance: From Complex Adaptive System Perspective," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(3), pages 191-191, February.
    3. Giannoccaro, Ilaria & Galesic, Mirta & Massari, Giovanni Francesco & Barkoczi, Daniel & Carbone, Giuseppe, 2020. "Search behavior of individuals working in teams: A behavioral study on complex landscapes," Journal of Business Research, Elsevier, vol. 118(C), pages 507-516.
    4. Fraccascia, Luca & Giannoccaro, Ilaria & Albino, Vito, 2017. "Rethinking Resilience in Industrial Symbiosis: Conceptualization and Measurements," Ecological Economics, Elsevier, vol. 137(C), pages 148-162.
    5. Massari, Giovanni F. & Giannoccaro, Ilaria & Carbone, Giuseppe, 2019. "Are distrust relationships beneficial for group performance? The influence of the scope of distrust on the emergence of collective intelligence," International Journal of Production Economics, Elsevier, vol. 208(C), pages 343-355.
    6. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, vol. 9(4), pages 1-18, March.
    7. Iftikhar, Ilaria Giannoccaro & Anas, 2023. "Mitigating ripple effect in supply networks: the effect of trust and topology on resilience," OSF Preprints 2spt3, Center for Open Science.
    8. Capaldo, Antonio & Giannoccaro, Ilaria, 2015. "How does trust affect performance in the supply chain? The moderating role of interdependence," International Journal of Production Economics, Elsevier, vol. 166(C), pages 36-49.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Giannoccaro, Ilaria, 2015. "Adaptive supply chains in industrial districts: A complexity science approach focused on learning," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 576-589.
    2. Jan W. Rivkin & Nicolaj Siggelkow, 2003. "Balancing Search and Stability: Interdependencies Among Elements of Organizational Design," Management Science, INFORMS, vol. 49(3), pages 290-311, March.
    3. Frenken, Koen, 2006. "A fitness landscape approach to technological complexity, modularity, and vertical disintegration," Structural Change and Economic Dynamics, Elsevier, vol. 17(3), pages 288-305, September.
    4. Sidney G. Winter & Gino Cattani & Alex Dorsch, 2007. "The Value of Moderate Obsession: Insights from a New Model of Organizational Search," Organization Science, INFORMS, vol. 18(3), pages 403-419, June.
    5. Celo, Sokol & Nebus, James & Kim Wang, I., 2015. "MNC structure, complexity, and performance: Insights from NK methodology," Journal of International Management, Elsevier, vol. 21(3), pages 182-199.
    6. Celo, Sokol & Nebus, James & Wang, I. Kim, 2018. "The Role of Internal and External Complexity in Global Factory Performance: An NKC Application," Journal of International Management, Elsevier, vol. 24(1), pages 65-83.
    7. repec:dau:papers:123456789/1132 is not listed on IDEAS
    8. Celo, Sokol & Lehrer, Mark, 2022. "How much lateral collaboration is optimal? Insights from computer simulations of MNEs as complex adaptive systems," Journal of World Business, Elsevier, vol. 57(3).
    9. Jan W. Rivkin & Nicolaj Siggelkow, 2007. "Patterned Interactions in Complex Systems: Implications for Exploration," Management Science, INFORMS, vol. 53(7), pages 1068-1085, July.
    10. Jerker. Denrell & Christina. Fang & Daniel A. Levinthal, 2004. "From T-Mazes to Labyrinths: Learning from Model-Based Feedback," Management Science, INFORMS, vol. 50(10), pages 1366-1378, October.
    11. Felipe A. Csaszar & Nicolaj Siggelkow, 2010. "How Much to Copy? Determinants of Effective Imitation Breadth," Organization Science, INFORMS, vol. 21(3), pages 661-676, June.
    12. Ganco, Martin, 2017. "NK model as a representation of innovative search," Research Policy, Elsevier, vol. 46(10), pages 1783-1800.
    13. Kingshuk K. Sinha & Andrew H. Van de Ven, 2005. "Designing Work Within and Between Organizations," Organization Science, INFORMS, vol. 16(4), pages 389-408, August.
    14. Christina Fang & Daniel Levinthal, 2009. "Near-Term Liability of Exploitation: Exploration and Exploitation in Multistage Problems," Organization Science, INFORMS, vol. 20(3), pages 538-551, June.
    15. Oliver Baumann, 2015. "Models of complex adaptive systems in strategy and organization research," Mind & Society: Cognitive Studies in Economics and Social Sciences, Springer;Fondazione Rosselli, vol. 14(2), pages 169-183, November.
    16. Christina Fang & Jeho Lee & Melissa A. Schilling, 2010. "Balancing Exploration and Exploitation Through Structural Design: The Isolation of Subgroups and Organizational Learning," Organization Science, INFORMS, vol. 21(3), pages 625-642, June.
    17. Kerstin Press, 2006. "Divide to conquer? The Silicon Valley - Boston 128 case revisited," Papers in Evolutionary Economic Geography (PEEG) 0610, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Dec 2006.
    18. Gatti, Corrado & Volpe, Loredana & Vagnani, Gianluca, 2015. "Interdependence among productive activities: Implications for exploration and exploitation," Journal of Business Research, Elsevier, vol. 68(3), pages 711-722.
    19. Mo Chen & Aseem Kaul & Brian Wu, 2019. "Adaptation across multiple landscapes: Relatedness, complexity, and the long run effects of coordination in diversified firms," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1791-1821, November.
    20. Caldart, Adrian A. & Ricart, Joan E., 2006. "A formal evaluation of the performance of different corporate styles in stable and turbulent environments," IESE Research Papers D/621, IESE Business School.
    21. Arie Y. Lewin & Silvia Massini & Carine Peeters, 2011. "Microfoundations of Internal and External Absorptive Capacity Routines," Organization Science, INFORMS, vol. 22(1), pages 81-98, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:131:y:2011:i:1:p:263-272. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.