Metaverse-enabled crisis management for logistics and supply chains: a socio-technical framework
Purpose Past crisis management frameworks describe phases and roles but provide limited operational guidance for real-time, cross-organisational coordination in logistics and supply-chain disruptions. This paper examines how metaverse capabilities can be orchestrated to support preparedness, response, recovery and learning in transportation and logistics networks. Design/methodology/approach A two-phase study was conducted. Phase 1 undertook a systematic literature review (Scopus and Web of Science, 2015–2024) and applied structural topic modelling to identify metaverse-enabling crisis mechanisms. Phase 2 conducted semi-structured expert interviews (n = 11) and analysed them using thematic analysis. Evidence from both phases was integrated to recontextualise the metaverse SCOM framework to the Metaverse Crisis Management Framework. Findings The analysis extends the seven interdependent framework components (people, organisation, management, technology, modelling, scope and task) and specifies crisis mechanisms including shared situational awareness, scenario stress-testing, governed data integration, coordinated resource allocation and multi-stakeholder decision-making. Originality/value The study conceptualises the metaverse as a socio-technical coordination space that integrates technologies such as AI, Blockchain, digital twins, extended reality (XR) and governed data objects into crisis operations and provides an operationalisation roadmap for logistics pilots and evaluation.
Authors
- Nitin Upadhyay (ORCID: https://orcid.org/0000-0001-8301-8924)
- Radha Yadav (ORCID: https://orcid.org/0000-0002-5772-0266)
- Angappa Gunasekaran (ORCID: https://orcid.org/0000-0002-6335-1962)
- David Roubaud (ORCID: https://orcid.org/0000-0003-3827-6187)
- Vinit Ghosh (ORCID: https://orcid.org/0000-0001-7420-9710)
- Rohan Mukherjee (ORCID: https://orcid.org/0000-0003-1888-7204)
Institutions
- International Management Institute (IN)
- Gulf University for Science & Technology (KW)
- T A Pai Management Institute (IN)
- Central Penn College (US)
- Flame University (IN)
- Munich Business School (DE)
- Indian Institute of Technology Jammu (IN)
- Indian Institute of Management Ranchi (IN)
Publication Details
- Journal
- Journal of Enterprise Information Management
- Published
- 2026-08-20
- DOI
- https://doi.org/10.1108/jeim-12-2025-1320
- Primary Topic
- Supply Chain Resilience and Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00