Resilience strategies to mitigate “extreme” disruptions in sustainable tourism supply chain
Md. Maruf Hossan Chowdhurya, A.K.M. Shakil Mahmudb, Shanta Banikc, Fazlul Kabir Rabbaneed, Mohammed Quaddusd, Mohammed Alamgirc
- aManagement Department, UTS Business School, University of Technology Sydney (UTS), Sydney, Australia
- bDepartment of Business Administration, Hamdard University Bangladesh, Munshiganj, Bangladesh
- cDepartment of Marketing, University of Chittagong, Chittagong, Bangladesh
- dSchool of Management and Marketing, Curtin University, Perth, Australia
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Abstract
Purpose Drawing on the dynamic capability view (DCV), this research determines the suitable configurations of resilience strategies for sustainable tourism supply chain performance amidst “extreme” disruptive events affecting the entire supply chain. Design/methodology/approach This research applies a multi-study and multi-method approach. Study 1 utilizes in-depth interviews to identify a list of tourism supply chain sustainability risks and resilience strategies. Study 2, using quality function deployment (QFD) technique, determines the most important resilience strategies corresponding to highly significant risks. Study 3, on the other hand, adopts a fuzzy set qualitative comparative analysis (fsQCA) to determine the best recipe of resilience strategies and risks to make the tourism supply chain performance sustainable. Findings The findings reveal that sustainable tourism performance during an extreme disruptive event (e.g. COVID-19 health crisis) depends on the combined effect of tourism resilience strategies and risks instead of their individual effect. Practical implications The research findings offer significant managerial implications. Managers may experiment with multiple causal conditions of risks and resilience strategies to engender the expected outcome. Originality/value This research extends current knowledge on tourism supply chain and offers insights for managers to mitigate the risks and ensures sustainable performance in the context of extreme disruptive events.