Purpose: This paper investigates how the channel leadership strategies develop a post-coronavirus disease (COVID-19) resilient agri-supply chain, which reduces supplier and retailer's price loss and enhances the logistics service quality level considering logistics...

Purpose Sustainable supply chain management (SSCM) has attracted considerable interest among academics and practitioners. The purpose of this paper is to present a critical review of the literature, to identify missing links, to argue for the use of world class SSCM (WCSSCM) through a framework,...

Purpose: The purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization. Design/methodology/approach: The authors have developed the theoretical model using resource-based...

Purpose: The purpose of this paper is to understand how big data and predictive analytics (BDPA), as an organizational capability, can improve both visibility and coordination in humanitarian supply chains. Design/methodology/approach: The authors conceptualize a research model grounded in...

Purpose: The purpose of this paper is to identify and analyse the interactions among various enablers which are critical to the success of big data initiatives in operations and supply chain management (OSCM). Design/methodology/approach: Fourteen enablers of big data in OSCM have been selected...

Purpose: This study prioritizes the supply chain risks (SCRs) and determines risk mitigation strategies (RMSs) for the Indian apparel industry to mitigate the shock of the COVID-19 pandemic disruption. Design/methodology/approach: ...

Purpose: This paper proposed a bi-level mathematical model for location, routing and allocation of medical centers to distribution depots during the COVID-19 pandemic outbreak. The developed model has two players including interdictor (COVID-19) and fortifier...