Journal of Advertising and Sales Management

Journal of Advertising and Sales Management

supply chain resilience pattern design in the retail industry

Document Type : Original Article

Authors
1 associate professor in management faculty at allameh tabataba`i university
2 phd candidate in allame tabataba`i university
Abstract
Today, the role of retailers in providing basic goods and necessities to the people is not hidden
from anyone. Retailers play a significant role in meeting the commodity needs of the people and
try to serve customers with higher quality and lower prices by eliminating unnecessary
intermediaries. On the other hand risks and disruptions are inseparabale parts of the supply chain
and can cause problems in the service process of retailers and face the supply chain of retailers
with various challenges. The most important of these disruptions are floods, earthquakes, epidemics, fires,
wars, and so on. The supply chain resilience approach has been introduced to meet these
unexpected challenges and improve and return supply chain performance to the state before the
challenges occurred. Therefore, in this article, we have tried to design a resilience model for the
retail supply chain which can help retailers to identify the types of disorders and ways to deal
with them to return to standard performance and ultimately gain a competitive advantage.
Keywords

Rajesh, R. (2019). A fuzzy approach to analyzing the level of resilience in manufacturing supply chains. Sustainable Production and Consumption, 18, 224-236.‏
Chen, L., Dui, H., & Zhang, C. (2020). A resilience measure for supply chain systems considering the interruption with the cyber-physical systems. Reliability Engineering & System Safety, 199, 106869.‏
Gölgeci, I., & Kuivalainen, O. (2020). Does social capital matter for supply chain resilience? The role of absorptive capacity and marketing-supply chain management alignment. Industrial Marketing Management, 84, 63-74.
Rajesh, R. (2018). Measuring the barriers to resilience in manufacturing supply chains using Grey Clustering and VIKOR approaches. Measurement, 126, 259-273.‏
Umang Soni a, Vipul Jain b, Sameer Kumar, (2014). Measuring supply chain resilience using a deterministic modeling approach, Computers & Industrial Engineering, 74, 11-25.
Melnyk, S.A., Closs, D.J., Griffis, S.E., Zobel, C.W., & Macdonald, J.R., (2014). Understanding supply chain resilience. Supply Chain Management Review, 18 (1), 34.41.
Bakshi, N., & Kleindorfer, P., (2009). Co-opetition and investment for supply-chain resilience. Prod. Oper. Manag. 18(6), 583. 603.
Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124. 143.
Datta, P. (2007). A Complex System, Agent Based Model for Studying and Improving the Resilience of Production and Distribution Networks. PhD diss., Cranfield University.
Rajesh, V. Ravi (2015). Modeling enablers of supply chain risk mitigation in electronic supply chains: A Grey DEMATEL approach, Department of Humanities, Indian Institute of Space Science and Technology, Valiamala P.O., Thiruvananthapuram 695 547, India.
Soni, U., Jain, V., & Kumar, S. (2014). Measuring supply chain resilience using a deterministic modeling approach. Computers & Industrial Engineering74, 11-25.‏
Christopher, M., Peck, H. (2004) ‘Building the resilient supply chain’.International Journal of Logistics Management, 15(2), pp. 1-13
Brandon‐Jones, E., Squire, B., Autry, C. W., & Petersen, K. J. (2014). A contingent resource‐based perspective of supply chain resilience and robustness. Journal of Supply Chain Management50(3), 55-73.‏
Ponis, S. T., & Koronis, E. (2012). Supply Chain Resilience? Definition of concept and its formative elements. The Journal of Applied Business Research, 28(5), 921-935.‏