Managing regional logistics in times of crisis: a COVID-19 case study

Abstract

PurposeCoronavirus Disease 2019 (COVID-19) is a pandemic with unique regional logistics management (RLM) challenges to respond to the chaos created by the crisis and to restore normality for operations and supply chains in home nations. The purpose of this article is to explore RLM in times of crisis from the perspective of public authorities responsible for combating the COVID-19 pandemic. The article also discusses the significance of crisis-driven RLM for humanitarian logistics and supply chain (HLSC) management.Design/methodology/approachGrounded on an inductive case study logic and guided by a constructivist perspective, this research involves semi-structured interviews with 15 managers and strategists responsible for the RLM of COVID-19 to capture lessons learnt so far from mitigating the transmission and spread of COVID-19. Underpinning the research is a conceptual RLM model premised on coordination, communication, and containment mechanisms (the 3Cs of crisis-driven logistics), as crisis response.FindingsThe study finds that the triggering of regional logistics in times of crisis for the COVID-19 case involves taskforce teams with centralisation for crisis readiness, information infrastructure with digitalisation for crisis protocols, and capacity calculations with orchestration for crisis scenarios. The study also finds that navigating the challenges for the 3Cs of crisis-driven logistics entails forward-thinking leadership for culture-based commitments, first-hand clarity for compliance-based campaigns, and far-reaching solidarity for compassion-based contributions.Originality/valueThis article addresses the gap in knowledge on RLM and potential priorities that underpin crisis-driven RLM strategies for HLSCs. The research is original in its argument for regional perspectives on logistics strategies that contribute to the “viability” and “integrity” of HLSCs. The research also uniquely focuses on RLM in times of crisis and proposes a conceptual RLM model of strategies for enhancing HLSCs.