Adham, K. A., Kasimin, H., Said, M. F., & Igel, B. (2012). Functions and inter-relationships of operating agencies in policy implementation from a viable system perspective. Systemic Practice and Action Research, 25, 149-170.
Albert, R., & Barabási, A. L. (2000). Topology of evolving networks: local events and universality. Physical review letters, 85(24), 5234.
Aloini, D., Dulmin, R., Mininno, V., & Ponticelli, S. (2012). Supply chain management: a review of implementation risks in the construction industry. Business process management journal, 18(5), 735-761.
Asadabadi, M. R., Chang, E., & Saberi, M. (2019). Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP). Cogent Engineering, 6(1), 1623153.
Badea, A., Prostean, G., Goncalves, G., & Allaoui, H. (2014). Assessing risk factors in collaborative supply chain with the analytic hierarchy process (AHP). Procedia-Social and Behavioral Sciences, 124, 114-123.
Beer, S. (1981). Brain of the Firm, Chichester”.
Bloch, F., Jackson, M. O., & Tebaldi, P. (2023). Centrality measures in networks. Social Choice and Welfare, 1-41.
Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of mathematical sociology, 2(1), 113-120.
Boyens, J., Paulsen, C., Moorthy, R., Bartol, N., & Shankles, S. A. (2015). Supply chain risk management practices for federal information systems and organizations. NIST Special publication, 800(161), 32.
Cross, R. L., & Parker, A. (2004). The hidden power of social networks: Understanding how work really gets done in organizations. Harvard Business Press.
Das, D., Datta, A., Kumar, P., Kazancoglu, Y., & Ram, M. (2021). Building supply chain resilience in the era of COVID-19: An AHP-DEMATEL approach. Operations Management Research, 1-19.
Dong, Q., & Cooper, O. (2016). An orders-of-magnitude AHP supply chain risk assessment framework. International journal of production economics, 182, 144-156.
Dua, S., Sharma, M. G., Mishra, V., & Kulkarni, S. D. (2022). Modelling perceived risk in blockchain enabled supply chain utilizing fuzzy-AHP. Journal of Global Operations and Strategic Sourcing, 16(1), 161-177.
Fazli, S., Kiani Mavi, R., & Vosooghidizaji, M. (2015). Crude oil supply chain risk management with DEMATEL–ANP. Operational Research, 15, 453-480.
Freeman, L. C. (2002). Centrality in social networks: Conceptual clarification. Social network: critical concepts in sociology. Londres: Routledge, 1, 238-263.
Gurtu, A., & Johny, J. (2021). Supply chain risk management: Literature review. Risks, 9(1), 16.
Hagen, L., Keller, T., Neely, S., DePaula, N., & Robert-Cooperman, C. (2018). Crisis communications in the age of social media: A network analysis of Zika-related tweets. Social science computer review, 36(5), 523-541.
Harvey, J., Smith, A., Goulding, J., & Illodo, I. B. (2020). Food sharing, redistribution, and waste reduction via mobile applications: A social network analysis. Industrial Marketing Management, 88, 437-448.
Heckmann, I., Comes, T., & Nickel, S. (2015). A critical review on supply chain risk–Definition, measure and modeling. Omega, 52, 119-132.
Hoverstadt, P., & Bowling, D. (2002, May). Modelling organisations using the viable system model. In Royal Academy of Engineering Systems Engineering Workshop (Vol. 14). Fractal Consulting.
Jackson, M. (2003). System Thinking: Creative holism for managers. (T. Naser Shariatie; Trans.) Tehran: Industrial Managment Organization.
Jackson, M. O. (2008). Social and economic networks (Vol. 3). Princeton: Princeton university press.
Jose, P. R. (2012). Design and diagnosis for sustainable organizations: The viable system method. Springer Science & Business Media.
Kayis, B., & Dana Karningsih, P. (2012). SCRIS: A knowledge‐based system tool for assisting manufacturing organizations in identifying supply chain risks. Journal of Manufacturing Technology Management, 23(7), 834-852.
Kim, Y., Choi, T. Y., Yan, T., & Dooley, K. (2011). Structural investigation of supply networks: A social network analysis approach. Journal of operations management, 29(3), 194-211.
Kumar, P., Singh, R. K., & Kumar, V. (2021). Managing supply chains for sustainable operations in the era of industry 4.0 and circular economy: Analysis of barriers. Resources, Conservation and Recycling, 164, 105215.
Lei, X., & MacKenzie, C. A. (2019). Assessing risk in different types of supply chains with a dynamic fault tree. Computers & Industrial Engineering, 137, 106061.
Li, Y., Zobel, C. W., Seref, O., & Chatfield, D. (2020). Network characteristics and supply chain resilience under conditions of risk propagation. International Journal of Production Economics, 223, 107529.
Liu, W., Wei, W., Yan, X., Dong, D., & Chen, Z. (2020). Sustainability risk management in a smart logistics ecological chain: An evaluation framework based on social network analysis. Journal of Cleaner Production, 276, 124189.
Luo, L., Qiping Shen, G., Xu, G., Liu, Y., & Wang, Y. (2019). Stakeholder-associated supply chain risks and their interactions in a prefabricated building project in Hong Kong. Journal of Management in Engineering, 35(2), 05018015.
Magableh, G. M., & Mistarihi, M. Z. (2022). Applications of MCDM approach (ANP-TOPSIS) to evaluate supply chain solutions in the context of COVID-19. Heliyon, 8(3).
Noroozian, A., Amiri, B., & Kermani, M. A. M. A. (2022). Investigation of cinematic genre diversity based on social network analysis: the lost ring of the Iranian cinema industry. Kybernetes, (ahead-of-print).
Ongkowijoyo, C. S., & Doloi, H. (2018). Understanding of impact and propagation of risk based on social network analysis. Procedia engineering, 212, 1123-1130.
Osunji, O. (2021). Know your suppliers: A review of ICT supply chain risk management efforts by the US government and its agencies. Cyber Security: A Peer-Reviewed Journal, 4(3), 232-242.
Otte, E., & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of information Science, 28(6), 441-453.
Pournader, M., Kach, A., & Talluri, S. (2020). A review of the existing and emerging topics in the supply chain risk management literature. Decision sciences, 51(4), 867-919.
Qazi, A., Dickson, A., Quigley, J., & Gaudenzi, B. (2018). Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks. International Journal of Production Economics, 196, 24-42.
Rodriguez-Rodriguez, R., & Leon, R. D. (2016). Social network analysis and supply chain management. International Journal of Production Management and Engineering, 4(1), 35-40.
Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical modelling, 9(3-5), 161-176.
Saberhoseini, S. F., Edalatpanah, S. A., & Sorourkhah, A. (2022). Choosing the best private-sector partner according to the risk factors in neutrosophic environment. Big data and computing visions, 2(2), 61-68.
Saxena, A., & Iyengar, S. (2020). Centrality measures in complex networks: A survey. arXiv preprint arXiv:2011.07190.
Schoenherr, T., S. Talluri, and V. Verter, (2020).
What C.E.O.s Need to Know as U.S. Industry Rallies to Fight COVID-19. Retrieved from Chief Executive Website.
https://chief execu tive. net/what-ceos-need-to-know-as-u-s-indus try-ralli es-to-figh t-covid-19.
Trkman, P., & McCormack, K. (2009). Supply chain risk in turbulent environments—A conceptual model for managing supply chain network risk. International Journal of Production Economics, 119(2), 247-258.
Tsai, M. C., Liao, C. H., & Han, C. S. (2008). Risk perception on logistics outsourcing of retail chains: model development and empirical verification in Taiwan. Supply Chain Management: An International Journal, 13(6), 415-424.
Wang, J., Zhou, H., & Jin, X. (2021). Risk transmission in complex supply chain network with multi-drivers. Chaos, Solitons & Fractals, 143, 110259.
Warren, L. (2002). Rational analysis for a problematic world revisited: Problem structuring methods for complexity, uncertainty and conflict. Systems Research and Behavioral Science, 19(4), 383-385.
Wichmann, B. K., & Kaufmann, L. (2016). Social network analysis in supply chain management research. International Journal of Physical Distribution & Logistics Management, 46(8), 740-762.
Wu, Y., Jia, W., Li, L., Song, Z., Xu, C., & Liu, F. (2019). Risk assessment of electric vehicle supply chain based on fuzzy synthetic evaluation. Energy, 182, 397-411.
Zhang, Y., & Siemsen, E. (2019). A meta‐analysis of newsvendor experiments: revisiting the pull‐to‐center asymmetry. Production and Operations Management, 28(1), 140-156.
Zschache, J. (2012). Producing public goods in networks: Some effects of social comparison and endogenous network change. Social Networks, 34(4), 539-548.