Browsing by Author "Kumar, Anil"

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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 Arturo
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.
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, Anil
Purpose 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.
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, Anil
Purpose – 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 chains
“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, Rohit
Purpose 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.