Faculty Publications
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Item Are metaverse applications in quality 4.0 enablers of manufacturing resiliency? An exploratory review under disruption impressions and future research(The TQM Journal, 2024-06-25) Jaouhari, Asmae El; Arif, Jabir; Samadhiya, Ashutosh; Kumar, Anil; Jain, Vranda; Agrawal, RohitPurpose The purpose of this paper is to investigate, from a thorough review of the literature, the role of metaverse-based quality 4.0 (MV-based Q4.0) in achieving manufacturing resilience (MFGRES). Based on a categorization of MV-based Q4.0 enabler technologies and MFGRES antecedents, the paper provides a conceptual framework depicting the relationship between both areas while exploring existing knowledge in current literature. Design/methodology/approach The paper is structured as a comprehensive systematic literature review (SLR) at the intersection of MV-based Q4.0 and MFGRES fields. From the Scopus database up to 2023, a final sample of 182 papers is selected based on the inclusion/exclusion criteria that shape the knowledge base of the research. Findings In light of the classification of reviewed papers, the findings show that artificial intelligence is especially well-suited to enhancing MFGRES. Transparency and flexibility are the resilience enablers that gain most from the implementation of MV-based Q4.0. Through analysis and synthesis of the literature, the study reveals the lack of an integrated approach combining both MV-based Q4.0 and MFGRES. This is particularly clear during disruptions. Practical implications This study has a significant impact on managers and businesses. It also advances knowledge of the importance of MV-based Q4.0 in achieving MFGRES and gaining its full rewards. Originality/value This paper makes significant recommendations for academics, particularly those who are interested in the metaverse concept within MFGRES. The study also helps managers by illuminating a key area to concentrate on for the improvement of MFGRES within their organizations. In light of this, future research directions are suggested.Item Can prescriptive analytics empower metaverse for sustainable operations and supply chains? A text mining and introspective analysis(The International Journal of Logistics Management, 2025-04-07) Samadhiya, Ashutosh; Agrawal, Rohit; Kumar, Anil; Yadav, Sanjeev; Garza-Reyes; Jose ArturoPurpose 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.Item Do the innovative technological advancements foster the green transition pathways for industry 5.0(Benchmarking: An International Journal, 2025-01-27) Dhayal, Karambir Singh; Giri, Arun Kumar; Agrawal, Rohit; Agrawal, Shruti; Samadhiya, Ashutosh; Kumar ,AnilPurpose Industries have been the most significant contributor to carbon emissions since the beginning of the Industrial Revolution. The transition to Industry 5.0 (I5.0) marks a pivotal moment in the industrial revolution, which aims to reconcile productivity with environmental responsibility. As concerns about the decline of environmental quality increase and the demand for sustainable industrial methods intensifies, experts recognize the shift toward the I5.0 transition as a crucial turning point. Design/methodology/approach This review study explores the convergence of green technological advancements with the evolving landscape of I5.0, thereby presenting a roadmap toward carbon neutrality. Through an extensive analysis of literature spanning from 2012 to 2024, sourced from the Scopus database, the research study unravels the transformative potential of green technological innovations, artificial intelligence, green supply chain management and the metaverse. Findings The findings underscore the urgent imperative of integrating green technologies into the fabric of I5.0, highlighting the opportunities and challenges inherent in this endeavor. Furthermore, the study provides insights tailored for policymakers, regulators, researchers and environmental stakeholders, fostering informed decision-making toward a carbon-neutral future. Originality/value This review serves as a call to action, urging collective efforts to harness innovation for the betterment of industry and the environment.Item Technology Landscape Analysis: Metaverse(IEEE Engineering Management Review, 2025-06) Chatterjee, M; Saadatmand, M; Daim, T.The metaverse is emerging as a focal point of interest for technology enthusiasts, which is seamlessly integrating various technologies to create immersive augmented reality experiences and establish a seamless connection between the physical and virtual worlds. Diverse industries and sectors are increasingly adopting the metaverse, while a growing interest among academic scholars across different fields reflects a strong enthusiasm for exploring its potential. This study examines the metaverse technology landscape to illuminate its trends and active networks involving countries, institutions, researchers, and key domains. By following a methodical procedure, we have drawn a sample of 2451 papers from the Scopus database. Employing social network analysis integrated with domain-specific cluster-based assessments, the study provides a nuanced understanding of the dynamic evolution within metaverse research. Taking a multidisciplinary approach, the literature review offers a comprehensive overview of the latest trends, covering technological advancements and diverse dimensions within social sciences and management studies associated with the evolving metaverse technology landscape. Ultimately, this study serves as a roadmap to comprehend the latest trends in the metaverse landscape that help researchers and practitioners in navigating this evolving digital frontier with insight and clarity.Item Artificial Intelligence-Based Cybersecurity for the Metaverse: Research Challenges and Opportunities(2025-04) Awadallah, Abeer; Eledlebi, Khouloud; Zemerly, Mohamed Jamal; Puthal, Deepak; Damiani, Ernesto; Taha, KamalThe metaverse, known as the next-generation 3D Internet, represents virtual environments that mirror the physical world. It is supported by innovative technologies such as digital twins and extended reality (XR), which elevate user experiences across various fields. However, the metaverse also introduces significant cybersecurity and privacy challenges that remain underexplored. Due to its complex multi-tech infrastructure, the metaverse requires sophisticated, automated, and intelligent cybersecurity measures to mitigate emerging threats effectively. Therefore, this paper is the first to explore Artificial Intelligence (AI)-driven cybersecurity techniques for the metaverse, examining academic and industrial perspectives. First, we provide an overview of the metaverse, presenting a detailed system model, diverse use cases, and insights into its current industrial status. We then present attack models and cybersecurity threats derived from the unique characteristics and technologies of the metaverse. Next, we review AI-driven cybersecurity solutions based on three critical aspects: User authentication, intrusion detection systems (IDS), and the security of digital assets, specifically for Blockchain and Non-fungible Tokens (NFTs). Finally, we highlight challenges and suggest future research opportunities to enhance metaverse security, privacy, and digital asset transactions