Prioritizing risk mitigation strategies of adopting digital supply chain management: a decision-making framework

Purpose The research paper assesses the anticipated risk mitigation strategies (RMS) for successfully adopting digital supply chain management (DSCM). It helps to enhance supply chain performance and achieve organizational excellence. Design/methodology/approach Risk mitigation strategies are analyzed using the fuzzy-analytic hierarchy process (F-AHP). Furthermore, sensitivity analysis is done by changing the weight of RMS to analyze their impact on the final ranking. Findings The RMS were categorized into five categories, namely Cybersecurity and Data Protection (CDP), Digitalization and Organization (DO), Supply Chain Visibility and Transparency (SCVT), Data Quality and Management (DQM), Change Management and Alliance (CMA). The research findings show that “developing a roadmap for the latest digital systems and processes” and “investing in integrating technologies for streamlined data flows in the supply chain” are the top risk mitigation strategies. Practical implications The research results benefit industry personnel and practitioners considering DSCM adoption. Prioritization of RMS will help to understand its relative importance, thereby facilitating management to focus more on critical aspects. Therefore, organizations can adopt these strategies to enhance supply chain agility, responsiveness and overall business performance. Originality/value This research paper contributes to the field of DSCM by employing the F-AHP method to evaluate RMS. Considering uncertainties and ambiguities, incorporating fuzzy logic adds originality and robustness to the assessment process. Furthermore, the study’s focus on RMS prioritization in the context of DSCM adds novelty to the existing body of knowledge.