Abstract
Purpose The purpose of this paper is to analyze the supply chain's resilience in crowd networks from both static and dynamic perspectives. Design/methodology/approach This paper first defines the supply chain’s resilience, then proposes a graphical and game-theoretic framework to evaluate the resilience. Findings In this framework, an equilibrium with high resilience will be achieved after the iterated prisoner's dilemma in the supply chain. The two-stage update mechanism contributes to higher profits, higher stability and stronger risk resistance capability. The reputation-based tit-for-tat strategy in the second stage helps to realize society cooperation. Originality/value This work pays more attention to the dynamic evolution of interactions between organizations in the supply chain. It provides an important theoretical basis for future work such as how to effectively control and guide the evolution of events in the intelligence network and how to stand sudden changes and avoid collapse.
Highlights
With the inevitable changes in the world market, each organization is being exposed to different types of risks, which could be a threat to the organization itself as well as the whole supply chain
Pettit declares that increased resilience is correlated with improved supply chain performance, whose results showed that the resilience scores of the seven companies evaluated by the SCRAM tool increased by only one percentage, and performance volatility could increase by 26% (Pettit et al, 2013)
We established a theoretical framework of supply chain resilience based on a layered structure model
Summary
With the inevitable changes in the world market, each organization is being exposed to different types of risks, which could be a threat to the organization itself as well as the whole supply chain. It is of great significance to study the method to define and evaluate the stability of a supply chain. Crowd networks refer to complex and heterogeneous networks that connect small entities such as users, smart devices, companies, organizations and government agencies, and where such smart entities constantly interact with each other, influence each other’s decisions and have a significant impact on our society and economy. A supply chain network is a network that supplies products from raw materials to consumers with the help of small entities and is one type of crowd network. They share characteristics as diversity, dynamics, large scale, complexity and vulnerability (Zou et al, 2020). New methods and mechanisms are urgent and important for organizations to improve their resilience against risks
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