Supplier assessment in a University Market
supply chain analysis and service delivery
DOI:
https://doi.org/10.14488/BJOPM.2745.2025Keywords:
Supply chain, Supplier evaluation, Customer-supplier interaction, Network modelingAbstract
Goal: This study aims to model and analyze the supplier network of a university retail market to enhance supply chain efficiency, optimize supplier relationships, and improve service delivery to internal and external stakeholders. This study fills a gap in the literature by addressing the still underexplored context of supply chains in university markets, contributing new insights into the efficient management of supplier relationships and the provision of public services in academic environments.
Design / Methodology / Approach: The research employed a mixed-methods approach, integrating qualitative data from semi-structured interviews and document analysis with quantitative metrics derived from Social Network Analysis (SNA). UCINET software was used to calculate centrality, cohesion, and network density indicators. The network structure was analyzed based on a case study at the State University of Maringá (UEM), involving internal and third-party suppliers.
Results: The results reveal that the Focal Company (EF) occupies a central but vulnerable position, with high degree and betweenness centrality. Key suppliers, such as F12, show strong ties, while peripheral actors, like F3 and F4, exhibit weak and sparse connections. The network displays moderate density, suggesting potential for strengthening weak ties and diversifying sources. Identified challenges include supply irregularity, overdependence on specific nodes, and inefficiencies in logistics and inventory management.
Limitations of the investigation: The study is limited by its single-case design, which may constrain the generalizability of the findings. Additionally, the use of self-reported data may introduce subjectivity.
Practical implications: The findings support actionable recommendations, such as enhancing collaboration with peripheral suppliers, adopting AI-based forecasting tools, and expanding storage and transport capacity, contributing to greater supply chain resilience and service efficiency.
Originality / Value: This research offers an innovative application of SNA in a university retail context, providing a replicable framework for analyzing and improving supplier interactions and supply chain performance.
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References
Bales, R. (2017), Social Interaction Systems: Theory and Measurement, Routledge, New York.
Ballou, R.H. (2018), Business Logistics / Supply Chain Management: Planning, Organizing, and Controlling the Supply Chain, 6th ed., Pearson Prentice Hall, Upper Saddle River.
Ballou, R.H. (2020), Business Logistics / Supply Chain Management: Planning, Organizing, and Controlling the Supply Chain, 6th ed., Pearson, New York.
Barbosa, D.H. and Musetti, M.A. (2012), "A survey on SMEs logistics performance in the capital goods industry: a comparative analysis", Producao, Vol. 22, No. 2, pp. 249–58.
Borgatti, S.P. and Li, X. (2009), "On social network analysis in a supply chain context", Journal of Supply Chain Management, Vol. 45, No. 2, pp. 5–22.
Borgatti, S.P., Everett, M.G. and Freeman, L.C. (2018), UCINET for Windows: Software for Social Network Analysis, Analytic Technologies, Harvard.
Brandimarte, P. and Zotteri, G. (2017), Introduction to Distribution Logistics, Springer, Cham.
Carvalho Junior, S. and Macedo, S.H.M. (2012), General Pharmaceutical Logistics: From Theory to Practice, Contento, São Paulo.
Castells, M. (2003), The Internet Galaxy: Reflections on the Internet, Business, and Society, Oxford University Press, Oxford.
Ching, H.Y. (2009), Inventory Management in the Integrated Logistics Chain – Supply Chain, 3rd ed., Atlas, São Paulo.
Choi, T.Y. and Kim, Y. (2008), "Structural embeddedness and supplier management: a network perspective", Journal of Supply Chain Management, Vol. 44, No. 4, pp. 5–13.
Chopra, S. and Meindl, P. (2020), Supply Chain Management: Strategy, Planning, and Operation, 7th ed., Pearson, Boston.
Chopra, S. and Meindl, P. (2022), Supply Chain Management: Strategy, Planning, and Operation, 7th ed., Pearson, New York.
Christopher, M. (2022), Logistics and Supply Chain Management, Pearson UK, London.
Coughlin, A.T., Anderson, E., Stern, L.W. and El-Ansary, A.I. (2001), Marketing Channels, 6th ed., Prentice Hall, [s.l.].
Coyle, J.J., Novack, R.A., Gibson, B.J. and Langley, C.J. (2021), Supply Chain Management: A Logistics Perspective, Cengage Learning, Boston.
Croom, S., Romano, P. and Giannakis, M. (2002), "Supply chain management: an analytical framework for criticism literature review", International Journal of Operations & Production Management, Vol. 22, No. 1, pp. 27–52.
Croxton, K.L., García-Dastugue, S.J., Lambert, D.M. and Rogers, D.S. (2017), "The supply chain management processes", International Journal of Logistics Management, Vol. 28, No. 2, pp. 124–39.
Croxton, K.L., Garcia-Dastugue, S.J., Lambert, D.M. and Rogers, D.S. (2001), "The supply chain management processes", The International Journal of Logistics Management, Vol. 12, No. 2, pp. 13–36.
Crowe, J. and Elkins, A. (2010), Social Networks and Supply Chains, Routledge, London.
de Assumpção, N.H., de Almeida Alcantara, B., de Souza Lima, I.A. and Samed, M.M.A. (2024), "Development of a causal loop diagram to understand the complexity of a food bank’s supply chain processes", in International Joint Conference on Industrial Engineering and Operations Management, Springer Nature Switzerland, Cham, pp. 477–88.
Dias, C.N. and Leite, E.D. (2011), "Logistics management in retail", Business in Projection Magazine, Vol. 2, No. 1, pp. 53–70.
Frazzon, E.M., Rodriguez, C.M.T., Pereira, M.M., Pires, M.C. and Uhlmann, I. (2019), "Towards supply chain management 4.0", Brazilian Journal of Operations & Production Management, Vol. 16, No. 2, pp. 180–91.
Freeman, L.C. (1977), "A set of measures of centrality based on betweenness", Sociometry, Vol. 40, No. 1, pp. 35–41.
Fusco, J.P. (2005), Production Networks and Supply Chains, Art & Science, São Paulo.
Granovetter, M. (1985), "Economic action and social structure: The problem of embeddedness", American Journal of Sociology, Vol. 91, No. 3, pp. 481–510.
Ivanov, D. and Dolgui, A. (2020), Introduction to Supply Chain Resilience, Springer, Cham.
Jackson, M.O. (2008), Social and Economic Networks, Vol. 3, Princeton University Press, Princeton.
Jesus, C.A.B. and Ferreira, M.J. (2011), "Supply chains and business networks: a conceptual analysis", Journal of Administration Contemporary, Vol. 15, No. 3, pp. 410–31.
Khan, T. and Emon, M.M.H. (2025), "Supply chain performance in the age of Industry 4.0: evidence from manufacturing sector", Brazilian Journal of Operations & Production Management, Vol. 22, No. 1, Article 2434. https://doi.org/10.14488/BJOPM.2434.2025
Kouvelis, P., Dong, L., Boyabatli, O. and Li, R. (2021), Handbook of Integrated Risk Management in Global Supply Chains, John Wiley & Sons, Hoboken.
Kotler, P. (2000), Marketing Management, 10th ed., Prentice Hall, São Paulo.
Lambert, D.M. and Cooper, M.C. (2000), "Issues in supply chain management", Industrial Marketing Management, Vol. 29, No. 1, pp. 65–83.
Lee, H.L. and Kim, K.H. (2008), "Social network analysis in a supply chain context: a case study of multinational logistics providers", International Journal of Physical Distribution & Logistics Management, Vol. 38, No. 5, pp. 323–34.
Lee, H.L., So, K.C. and Tang, C.S. (2000), "The value of information sharing in a two-level supply chain", Management Science, Vol. 46, No. 5, pp. 626–43.
Leite, H.S. et al. (2022), "Mixed methods research in operations management: guidelines and illustrations", Production, Vol. 32, Article e20220095.
Likert, R. (1932), "A technique for the measurement of attitudes", Archives of Psychology, Vol. 22, No. 140, pp. 1–55.
Martins, F. and Altuntas, S. (2019), "The strategic role of logistics in global supply chain management", Journal of Business Logistics, Vol. 40, No. 4, pp. 278–92.
Martins, P.G. and Laugeni, F.P., Production Management, 2nd ed., [s.l.].
Miguel, P.A.C. (2007), "Case research in production engineering: structure and recommendations for its conduction", Production, Vol. 17, pp. 216–29.
Morrison, A. and Rabellotti, R. (2009), "Knowledge and information networks in an Italian wine cluster", European Planning Studies, Vol. 17, No. 7, pp. 983–1006.
Nahapiet, J. and Ghoshal, S. (1998), "Social capital, intellectual capital, and the organizational advantage", Academy of Management Review, Vol. 23, No. 2, pp. 242–66.
Ramezani, M., Liravi, F. and Zandieh, M. (2018), "Sustainable supply chain network design with pricing for perishable products", Computers & Industrial Engineering, Vol. 113, pp. 766–78.
Sacomano Neto, M. and Truzzi, O.M.S. (2009), "Structural and relational network position: analysis of a modular consortium in the automotive industry", Gestão & Produção, Vol. 16, pp. 598–611.
Scott, J. (2017), Social Network Analysis, 4th ed., SAGE, Los Angeles.
Silva, E.M. and Heber, M. (2013), "Management of collaborative supplier networks and resilience in supply chains", Management & Production, Vol. 20, No. 4, pp. 857–70.
Simchi-Levi, D., Kaminsky, P. and Simchi-Levi, E. (2020), Design and Managing the Supply Chain: Concepts, Strategies and Case Studies, McGraw-Hill, New York.
Wang, H., Kim, T. and Lee, J. (2021), "Supply chain management in university settings: A case study on service delivery", International Journal of University Supply Chains, Vol. 12, No. 3, pp. 89–104.
Wasserman, S. and Faust, K. (1994), Social Network Analysis: Methods and Applications, Cambridge University Press, Cambridge.
Yin, R.K. (2015), Case Study: Planning and Methods, Sage Publications, Thousand Oaks.
Zhang, Y., Li, Q. and Zhao, S. (2022), "A comprehensive review of supply chain network analysis using Gephi", Journal of Supply Chain Management, Vol. 45, No. 2, pp. 123–37.
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