Prescriptive analytics can empower the Metaverse to drive sustainable operations, offering opportunities for future research and innovation.
Authors
Ashutosh Samadhiya, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Rohit Agrawal, Department of Operations Management and Quantitative Techniques, IIM Bodh Gaya, Bodh Gaya, India
Anil Kumar, Guildhall School of Business and Law, London Metropolitan University, London, UK; Jaipuria Institute of Management, Indore, India
Sanjeev Yadav, Office of Doctoral Studies, O. P. Jindal Global University, Sonipat, India
Jose Arturo Garza-Reyes, Centre for Supply Chain Improvement, University of Derby, Derby, UK
Summary
Purpose: The arrival of the Metaverse is expected to revolutionize organizational practices, which substantially impact sustainability in logistics and supply chain. In addition, prescriptive analytics-based methodological improvements might make Metaverse self-sustaining. This study assesses the current reflective discussion about the function of prescriptive analytics in Metaverse. It proposes alternative streams for additional research in this area so that we can understand the relationship between Metaverse, prescriptive analytics, sustainable operations and supply chain.
Design/methodology/approach: We use structural topic modeling (STM), a text-mining approach, to critically assess the literature and analyze 161 articles.
Findings: Primary and secondary topics were developed using STM findings for comparison. Also, a research framework is created by sketching out the study following the findings of the review. Finally, we conclude with a list of unanswered research issues that might serve as a starting point for future investigations into the role of prescriptive analytics in empowering Metaverse for sustainable operations.
Originality/value: This study provides original insights into how prescriptive analytics can drive sustainable operations through Metaverse, offering a roadmap for future empirical research in this emerging area.
Published in: International Journal of Logistics Management
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