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Micro-Foundations of Supply Chain Integration: An Activity-Based Analysis

Author

Listed:
  • Muhammad Usman Ahmed

    (School of Management, University of Michigan Flint, 303 E. Kearsley St, Flint, MI 48502, USA)

  • Mark Pagell

    (School of Business, University College Dublin, Belfield, Dublin 4 D04 V1W8, Ireland)

  • Mehmet Murat Kristal

    (Schulich School of Business, York University, 4700 Keele St, Toronto, ON M3J 1P3, Canada)

  • Thomas F. Gattiker

    (College of Business, Boise State University, 1910 University Drive, Boise, ID 83725, USA)

Abstract

A large body of literature has studied supply chain integration (SCI) at the macro (firm or dyad) level. However, the micro-foundations of SCI that highlight the range of different activities and choices firms have in implementing integration have not been studied. This paper identifies and analyzes integrative activities or practices that form the micro-units of firm-level SCI. Qualitative analysis yields nine elements of integration that emerge from the large number of integrative practices. In doing so, the paper maps out the structure of the broad SCI construct and discusses the theoretical repercussions of this new approach. New theoretical insights and research directions are identified based on this new micro-level activity-based view of SCI. This paper shifts the focus from where integration is done (customer vs. supplier integration) to what integration entails. SCI has become a very broad construct over time. This paper is a significant and systematic step in unraveling the structure of this broad conceptual domain. It improves nascent ideas about the multiple dimensions of integration by identifying elements based on a comprehensive list of different integrative activities that firms undertake.

Suggested Citation

  • Muhammad Usman Ahmed & Mark Pagell & Mehmet Murat Kristal & Thomas F. Gattiker, 2019. "Micro-Foundations of Supply Chain Integration: An Activity-Based Analysis," Logistics, MDPI, vol. 3(2), pages 1-17, March.
  • Handle: RePEc:gam:jlogis:v:3:y:2019:i:2:p:12-:d:217762
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    References listed on IDEAS

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    1. Gautam Ray & Jay B. Barney & Waleed A. Muhanna, 2004. "Capabilities, business processes, and competitive advantage: choosing the dependent variable in empirical tests of the resource‐based view," Strategic Management Journal, Wiley Blackwell, vol. 25(1), pages 23-37, January.
    2. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    3. Prajogo, Daniel & Olhager, Jan, 2012. "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration," International Journal of Production Economics, Elsevier, vol. 135(1), pages 514-522.
    4. Nathalie Fabbe-Costes & Marianne Jahre, 2008. "Supply Chain Integration and Performance - A Review of the Evidence," Post-Print hal-01419288, HAL.
    5. Gerry Johnson & Leif Melin & Richard Whittington, 2003. "Micro Strategy and Strategizing: Towards an Activity‐Based View," Journal of Management Studies, Wiley Blackwell, vol. 40(1), pages 3-22, January.
    6. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    7. Jay R. Galbraith, 1974. "Organization Design: An Information Processing View," Interfaces, INFORMS, vol. 4(3), pages 28-36, May.
    8. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    9. Qi, Yinan & Huo, Baofeng & Wang, Zhiqiang & Yeung, Hoi Yan Jeff, 2017. "The impact of operations and supply chain strategies on integration and performance," International Journal of Production Economics, Elsevier, vol. 185(C), pages 162-174.
    10. Margaret A. Peteraf & Jay B. Barney, 2003. "Unraveling the resource-based tangle," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 309-323.
    11. Jajja, Muhammad Shakeel Sadiq & Chatha, Kamran Ali & Farooq, Sami, 2018. "Impact of supply chain risk on agility performance: Mediating role of supply chain integration," International Journal of Production Economics, Elsevier, vol. 205(C), pages 118-138.
    12. Yu, Wantao & Jacobs, Mark A. & Salisbury, W. David & Enns, Harvey, 2013. "The effects of supply chain integration on customer satisfaction and financial performance: An organizational learning perspective," International Journal of Production Economics, Elsevier, vol. 146(1), pages 346-358.
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