Faculty Publications
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Item Artificial intelligence an enabler for sustainable engineering decision-making in uncertain environment: a review and future propositions(Journal of Global Operations and Strategic Sourcing, 2024) Wankhede, Vishal Ashok; Agrawal, Rohit; Kumar, Anil; Luthra, Sunil; Pamucar, Dragan; Stević, ŽeljkoPurpose Sustainable development goals (SDGs) are gaining significant importance in the current environment. Many businesses are keen to adopt SDGs to get a competitive edge. There are certain challenges in realigning the present working scenario for sustainable development, which is a primary concern for society. Various firms are adopting sustainable engineering (SE) practices to tackle such issues. Artificial intelligence (AI) is an emerging technology that can help the ineffective adoption of sustainable practices in an uncertain environment. In this regard, there is a need to review the current research practices in the field of SE in AI. The purpose of the present study is to comprehensive review the research trend in the field of SE in AI. Design/methodology/approach This work presents a review of AI applications in SE for decision-making in an uncertain environment. SCOPUS database was considered for shortlisting the articles. Specific keywords on AI, SE and decision-making were given, and a total of 127 articles were shortlisted after implying inclusion and exclusion criteria. Findings Bibliometric study and network analyses were performed to analyse the current research trends and to see the research collaboration between researchers and countries. Emerging research themes were identified by using structural topic modelling (STM) and were discussed further. Research limitations/implications Research propositions corresponding to each research theme were presented for future research directions. Finally, the implications of the study were discussed. Originality/value This work presents a systematic review of articles in the field of AI applications in SE with the help of bibliometric study, network analyses and STM.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 Navigating challenges for supply chain transparency in the digital enterprises(Supply Chain Management: An International Journal, 2025-09-30) Sonar, Harshad; Ghag, Nikhil; Kumar, Shashank; Jagtap, Sandeep; Kumar, AnilPurpose – In the age of digital businesses, the rise of innovative digital transformation has made supply chain transparency (SCT) an essential research topic. While digital technologies provide possibilities for enhancing transparency in supply chains, there is limited research on how digital businesses overcome different SCT issues or provide real-time visibility and traceability. This study aims to investigate the different challenges of transparency in supply chains for digital businesses in the age of digital transformation. Design/methodology/approach – Challenges are identified through a comprehensive literature review and finalized through the fuzzyDelphi method after industry experts’ validation. Data is gathered, ranked and prioritized through the analytic hierarchy process entropy method. Findings – The study reveals that challenges related to data privacy and security, supplier resistance and lack of data standardization grouped under Cluster 1 (critical digital friction points) pose the most significant barriers to SCT in digital enterprises. These are followed by Cluster 2 (operational capability gaps) and Cluster 3 (external and strategic constraints), highlighting a clear prioritization framework for addressing SCT issues in a structured, phased manner. Research limitations/implications – By leveraging advanced digital technologies to gather, share and analyze supply chain data, digital enterprises can overcome these challenges, enhance operational effectiveness and gain stakeholders’ trust. These findings can be used by policymakers to develop guidelines that enhance transparency while maintaining data security. Practitioners can develop targeted strategies to address supplier resistance and infrastructure deficiencies. Originality/value – This study makes three distinct contributions. First, it fills a gap in the current literature by initiating a clear debate on SCT beyond generic or sustainability-focused models, illuminating its unique dimensions in digital enterprises. Second, it demonstrates the practical importance of SCT by identifying and prioritizing the key challenges that are faced by digitally transforming companies. Third, it advances theory by contrasting traditional perspectives with new insights drawn from our findings, offering both actionable guidance and novel conceptual frameworks for transparency in digitally enabled supply chainsItem “Recover together, recover stronger”: an exploratory literature review on the recovery challenges of creative SMEs following the COVID-19 pandemic and proposed future recommendations(International Journal of Industrial Engineering and Operations Management, 2025-01-02) Akintola, Bolanle Maryam; Kumar, Anil; Chokshi, Hemakshi; Samadhiya, Ashutosh; Agrawal, RohitPurpose The rise of the coronavirus disease 2019 (COVID-19) pandemic has enabled researchers and industry professionals to reinvent their strategies for basic economic understanding. Two years after the outbreak of the pandemic, businesses are now trying to adapt to the impact it has brought, hoping to receive support as it did in the past. However, before this feat can be accomplished, it is imperative to understand the recovery hurdles created by the pandemic. This research aims to fill the literature gaps by examining the challenges during recovery within the creative small and medium-sized enterprise (SME) industry, as there are few relevant studies that focus on this field. Design/methodology/approach Through a methodical bibliometric literature review and network analysis, the paper intends to critically explore relevant recovery challenges within the field while providing answers to the appropriate research questions. A total of 43 articles were selected for an in-depth review. Using the analysis from the selected articles as a guide, a framework was developed to address the recovery challenges alongside the recommended propositions. Findings The findings from this paper suggest that a lack of synergy among four major categories (governmental, supply chain, organizational and stakeholders) contributes to recovery challenges within the field of research. Originality/value The review also offers clarification in understanding the current and upcoming trends within the creative industry, SMEs and COVID-19. This paper can thus help researchers, industry practitioners and managers discover and analyze the recovery challenges brought about by the COVID-19 pandemic.Item Entrepreneurial barriers in achieving sustainable business and cultivation of innovation: a resource-based view theory perspective(Management Decision, 2025-03-27) Agrawal, Rohit; Samadhiya, Ashutosh; Banaitis, Audrius; Kumar, AnilPurpose The study aims to highlight the barriers faced by the entrepreneurs toward achieving sustainability in business and innovation cultivation by offering solutions for academicians, practitioners and policymakers. The study uses the resource-based view (RBV) theory to discuss how an organization’s resources and capabilities influence the competitive ambience and barriers faced by entrepreneurs. Design/methodology/approach The present research uses grey-causal modelling (GSC) to analyse the barriers against successful entrepreneurship. Findings The research focuses on the usefulness of dynamic capabilities, managing and cooperating resources in the entrepreneurship setting. The paper highlights the importance of resource gathering and nurturing as a method to combat scarcity. This research further identifies that financial limitations, regulatory obstacles, challenges to sourcing qualified labour, poor infrastructure and technology, limited mentorship opportunities, lack of scalability, low initial cost barriers in product development and risk-averse attitudes are the major factors hindering entrepreneurs from obtaining sustainable business and innovation. Originality/value The contribution of this research to the literature is that it assesses RBV theory within the realm of entrepreneurship, providing a different perspective on resources and capabilities as well as the challenges faced by entrepreneurs. The systematic approach to the analysis and prioritization of various barriers is innovative, and it adds knowledge in this area.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.