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Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review

Author

Listed:
  • Ana Isabel Bento

    (University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal)

  • Carla Cruz

    (University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal)

  • Gabriela Fernandes

    (University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal)

  • Luís Miguel D. F. Ferreira

    (University of Coimbra, CEMMPRE, ARISE, Department of Mechanical Engineering, Coimbra 3030-788, Portugal)

Abstract

Background : Supply chains, characterized by complexity and sensitivity, require continuous mapping to address challenges, particularly disruptions like the COVID-19 pandemic. In this context, Social Network Analysis (SNA) has proven valuable in analyzing how actors in a network connect and create interdependencies. However, some studies suggest that the SNA literature needs to embrace new fields of application and develop innovative metrics. Methods : The aim of this study is to clarify the role and contribution of SNA when characterizing and understanding the challenges of contemporary supply chains. A literature review was conducted to achieve this. Results : The results reveal that SNA has been applied in a wide variety of areas (e.g., manufacturing and construction sectors), with an emerging application in the tertiary sector. Furthermore, the findings demonstrate that metrics related to the network and to nodes have been used repeatedly, highlighting the need for new supply-chain-related metrics, such as the novel concept of semi-directedness. Conclusions : Despite the versatility of SNA, some aspects may limit its application to supply chain management, including shortcomings in data acquisition and the fact that SNA only allows for the visualization of network configurations, thus preventing the capture of nuances that characterize the relationships between the actors involved.

Suggested Citation

  • Ana Isabel Bento & Carla Cruz & Gabriela Fernandes & Luís Miguel D. F. Ferreira, 2024. "Social Network Analysis: Applications and New Metrics for Supply Chain Management—A Literature Review," Logistics, MDPI, vol. 8(1), pages 1-20, February.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:1:p:15-:d:1334103
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    References listed on IDEAS

    as
    1. Simpson, N.C. & Tacheva, Zhasmina & Kao, Ta-Wei, 2023. "Semi-directedness: New network concepts for supply chain research," International Journal of Production Economics, Elsevier, vol. 256(C).
    2. Loka Ashwood & Andy Pilny & John Canfield & Mariyam Jamila & Ryan Thomson, 2022. "Correction: From Big Ag to Big Finance: a market network approach to power in agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(4), pages 1435-1435, December.
    3. Seiler, A. & Papanagnou, C. & Scarf, P., 2020. "On the relationship between financial performance and position of businesses in supply chain networks," International Journal of Production Economics, Elsevier, vol. 227(C).
    4. Catherine Brinkley & Gwyneth M. Manser & Sasha Pesci, 2021. "Growing pains in local food systems: a longitudinal social network analysis on local food marketing in Baltimore County, Maryland and Chester County, Pennsylvania," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 38(4), pages 911-927, December.
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