Faculty Publications
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Item Harnessing Industry 4.0 in agri supply chains: a strategy for enhanced sustainability(Journal of Agribusiness in Developing and Emerging Economies, 2025-11-24) Sonar, Harshad; Joshi, Prasad; Ghag, Nikhil; Kumar, Shashank; Giri, NabanitPurpose To investigate the underlying factors contributing to this challenge, this research aims to identify key barriers to Industry 4.0 (I4.0) adoption in agriculture supply chains to enhance sustainability. Additionally, this work seeks to develop a structured framework to examine their interactions to investigate the fundamental causes of this problem. Design/methodology/approach Initial identification of I4.0 adoption barriers in agricultural supply chains is done using a comprehensive literature review. The Fuzzy-Delphi method is then used for validation and finalization. Then, the Decision-Making Trial and Evaluation Laboratory approach is used to determine causal links between these barriers. Findings The results show that the biggest obstacles to I4.0 implementation in agricultural supply chains are “lack of management commitment,” “lack of prioritization of circular economy (CE) practices,” “lack of a skilled workforce” and “lack of government support.” Research limitations/implications The study is directed from the viewpoint of a developing economy because the most pressing sustainability issues are found in these nations. I4.0 technologies will be essential in supplying developing nations with wholesome, secure, and environmentally sound food. Originality/value This paper offers a framework that tackles several problems in one model. As part of the technique, a thorough literature analysis is conducted to identify the main difficulties. These are then confirmed by speaking with industry experts and visiting different stakeholders in the sector. The developed framework provides an organized approach for implementing I4.0 and circular economy principles in the agricultural supply chain while methodically removing or minimizing the effects of barriers.Item What hinders AI adoption in MSMEs of India? – Importance and interlinkages between the barriers(Indian Growth and Development Review, 2025-03-31) Ganguly, Boudhayan; Roy Chowdhury, Sahana; Ghosh, Rajarshi; Ghosh, DonaPurpose This study aims to help MSMEs in understanding the barriers to adoption of AI and how they are interlinked with each other. There is a general consensus amongst researchers and corporates that artificial intelligence (AI) can help in better and faster decision-making. However, many medium, small and micro enterprises (MSMEs) have not adopted AI in the context of automation. Design/methodology/approach The authors have assigned weights to the barriers of AI implementation by using Best Worst Method (BWM). In this study, the authors argue that the more alternatives there are, the greater the chances of making an error in judgment. This is a drawback of the traditional comparison matrices that are used for assigning weights to attributes/alternatives/factors. Subsequently, we have computed the influence of the barriers on each other using the DEMATEL method. This helped us understand what the drivers of the bottlenecks are and the interlinkages between them. Findings The barriers identified are top management support, change resistance from employees, lack of knowledge about AI in automation, Lack of resources to implement the solution, uncertainty regarding the future of benefits, perception of job loss and subsequent conflicts and lack of perseverance. Price of automation, uncertainty regarding future and top management support were identified as factors that drive other bottlenecks. Practical implications The study has theoretical implications, as it corroborates the technology organization environment (TOE) framework in the context of AI automation in MSMEs. This is the first study of this type, to the best of the authors’ knowledge, on MSMEs in India. Factors such as lack of top management support, change resistance, perseverance and price of the automation can be viewed as organizational blocks to AI implementation. Lack of knowledge about AI in automation and Lack of resources are technology-related barriers, whereas uncertainty regarding the future of technology and job loss are related to the environment. This has implications for the top management of MSMEs. The results did show that some bottlenecks act as drivers of other bottlenecks. Thus, the MSMEs, which inherently have limited resources, can prioritize their focus on the ones that have high driving power. Originality/value The authors have used the TOE framework to refer to the technological, organizational and environmental factors that affect the decisions to adopt a new technology. The decision of the business and government, to participate in the diffusion of AI, may be contingent upon monitoring the bottlenecks and designing mechanisms to enhance use of AI for automation by MSMEs across India. Thus, this study has wide policy implications.Item TRIZ-driven assessment of sector-wise investment decisions in renewable energy projects through a novel integrated q-ROF-DEMATEL-SRP model(Energy, 2025-01-01) Yüksel, Serhat; Ecer, Fatih; Krishankumar, Raghunathan; Dinçer, Hasan; Gökalp, YaşarNecessary actions should be taken to improve renewable energy investments to minimize the carbon emission problem. In this process, the most significant determinants should be identified for some reasons, such as using human and financial resources more effectively. However, there are limited studies in the literature that prioritize the analysis of these items. This situation can be accepted as a missing gap in the literature. Accordingly, this study evaluates sector-wise investment decisions in renewable energy projects. To do so, a novel integrated q-rung orthopair fuzzy set (q-ROFS) decision-making model has been generated. Firstly, the weights of the theory of the solution of inventive problems (TRIZ)-driven criteria are computed via the q-ROF decision-making trial and evaluation laboratory (DEMATEL) methodology. The second stage of the proposed model consists of selecting the most appropriate investment alternatives with the help of the q-ROFS-based simple ranking process (q-ROF SRP). The main contribution of this study is that key sector-wise investment decisions in renewable energy projects can be identified by establishing a novel decision-making model. The main superiority of the proposed model is that the DEMATEL method is extended to the q-ROFS context to determine the weights of the factors. With the help of this issue, uncertainties and subjective randomness in the decision-making process can be minimized. In addition to this situation, causal directions between these indicators can be taken into consideration for this condition. The findings indicate that possible extension with modularity is the most critical indicator for this situation. Similarly, resource efficiency is also found to be the most influencing item. In addition to them, the ranking results demonstrate that waste-to-energy technologies and energy storage systems are the most critical investment alternatives.Item Business Strategies for Sustainable Development: Leveraging Industry 5.0 and Circular Pharmaceutical Supply Chains to Overcome Medicine Waste(Business Strategy and the Environment, 2025-02-13) Agrawal,Anguja; Sharma, Aasha; Sarkar,Bishal DeyIndustry 5.0 (I5.0) presents opportunities for streamlining processes, reducing waste, improving resource utilization, and en-abling real-time monitoring and decision-making in the supply chain. This study proposes a strategy for information-sharingamong pharmaceutical supply chain partners, leveraging I5.0 technologies and circular economy strategies like redistributionof unused medicine to reduce waste. This will enable real-time demand data sharing throughout the SC, tracking the expirationdate, disposal, and redistribution of returned products. The study identifies 10 drivers for the adoption of I5.0 and the circularpharmaceutical supply chain (CPSC) to reduce medicine waste applying a Technology- Organization-Environment (TOE) frame-work in consultation with pharmaceutical supply chain professionals, analyzing their relationships using the Decision-MakingTrial and Evaluation Laboratory (DEMATEL) method. The findings reveal that “recognition of the significance of I5.0” and“government-supportive policies for circular supply chain and I5.0” are the most influential cause drivers, exerting significantinfluence on other drivers. Policies such as tax reductions, funding opportunities, and the development of robust digital infra-structure are essential to accelerate adoption. The findings highlight that strengthening these drivers will enhance the adoptionof I5.0 and CPSC, thereby reducing medicine waste. This study contributes to the literature in several significant ways by inte-grating I5.0 and circular supply chain strategies within the pharmaceutical sector to reduce medicine waste, addressing a criticalresearch gap. The proposed framework supports practitioners, policymakers, and industry associations in formulating strategiesfor adopting I5.0 and CPSC, enabling the reduction of medicine waste and contributing to sustainable development by aligningwith environmental goals.