Browsing by Author "Sarkar, Bishal Dey"

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Critical success factors for ICT integration in agri-food sector: Pathways for decarbonization and sustainability
(Cleaner Engineering and Technology, 2025-05) Sharma, Isha; Sarkar, Bishal Dey; Jagtap, Sandeep
A decarbonized agri-food sector may provide consumers with nutritious, secure, and reasonably priced food with a lower carbon impact. Decarbonizing the agri-food sector is intricate and necessitates a holistic strategy. Technological advancements, like Information and Communication Technologies (ICT), might be the solution. This study analyses the critical success factors (CSFs) for ICT integration in the agri-food sector in the Western and North Western States of India based on empirical data collected and analyzed. The study proposes a framework that determines and ranks the significant factors for ICT integration in the agri-food sector to achieve the decarbonization goals by utilizing the fuzzy evidential reasoning approach (FERA) and the evidential reasoning approach (EFA). The factors are examined based on the Technological, Organization, and Environmental (TOE) criteria. The results show that the most significant factors contributing to the effective implementation of ICT in the agri-food sector are continuous innovation and R&D, supportive policies and regulations, and cost-effectiveness. The results will assist managers and decision-makers in creating effective policies and making knowledgeable choices that will support sustainable growth in the agri-food industry by lowering carbon emissions through effective ICT integration.
Developing a reintegration index (RI) for a closed-loop supply chain network in the automobile industry
(Benchmarking: An International Journal, 2025-01-30) Bhattacharyya, Shisam; Sarkar, Bishal Dey; Sarkar, Sobhan; Singh,Prince Kumar; Manatkar, Ramkrishna
Purpose Continuous benchmarking of a closed-loop supply chain (CLSC) network is required to achieve circular economic viability for end-of-life vehicle (ELV) recovery programs for original equipment manufacturers (OEMs). This study develops a framework to assess and benchmark CLSC networks in ELV recovery programs, addressing the absence of a standard index and enabling circular economic viability for OEMs. Design/methodology/approach The study uses a Bayesian evidential reasoning approach (BERA) that helps decision-makers develop a reintegration index (RI) for the automobile CLSC network. To develop the index, a total of 15 factors related to the automobile CLSC are identified from the literature. Bayesian belief network (BBN) is used on those factors to generate conditional probabilities for different nodes of the BBN. With the opinion of 12 domain experts, the ERA is used to generate a score for each node. Finally, the Markovian tree is used on the scores to generate the RI for a particular CLSC network. Findings The analysis demonstrates that both operational and strategic actions aimed at ensuring customer satisfaction and retaining core components are quantified using a standardized index value for each alternative amidst uncertainty. Leveraging the BERA model, decision-makers can calculate RI values, providing them with the means to assess and regulate ratings for CLSC networks. This capability serves to bolster circular economic sustainability by facilitating informed decision-making within the automotive industry. Practical implications This framework offers a structured approach for decision-makers to evaluate CLSC networks in ELV recovery programs, allowing for adaptability to specific organizational objectives and facilitating informed decision-making in the automotive industry. Originality/value The study’s integration of expert insights and probabilistic modeling fills the gap in the literature by providing a comprehensive framework for assessing CLSC networks in ELV recovery programs, contributing to circular economic viability and strategic decision-making for OEMs.
Performance enhancement of port logistics: a framework using hybrid approach
(Journal of Advances in Management Research, 2025) Sarkar, Bishal Dey; Gupta, Laxmi
Purpose Several challenges and issues are involved in successfully managing and improving the port logistics system (PLS) performance. Ports still face issues, including insufficient cargo handling equipment or equipment sharing during loading and unloading, which requires manual container inspection and delays clearance. This research aims to enhance the port logistics performance at one of India's cargo-handling ports. This paper seeks to identify various situations, actors, processes, learnings, actions and performance metrics particular to India's major container handling port. Design/methodology/approach The study objectives are accomplished using the Situation-Actor-Process–Learning-Action-Performance (SAP-LAP) framework, Fuzzy Analytic Hierarchy Process (FAHP) and Interpretive Ranking Process (IRP). The FAHP prioritises or ranks actions in a fuzzy environment. The ranking obtained by the FAHP method is assessed using the IRP approach. Findings This study examined action criteria and sub-attributes that define a PLS's effective implementation regarding handling containers in India. The results illustrate that strategic action must be prioritized first, followed by infrastructural and operational development, Technology upgradation and new methods and Training and Development initiatives. Practical implications This research provides a logical framework for evaluating the importance of various actions throughout the decision-making process. It would assist managers and practitioners in interpreting the impact of critical actions on performance and improving the operation of PLS by constructing resilient and adaptable solutions. Originality/value The study integrates methodologies like the IRP, SAP-LAP and FAHP. It focuses on various actions for an effective port logistics implementation system. The findings of this study allow decision-makers to understand interpretative reasoning by performing pairwise comparisons among the factors.
Resilient or fragile? Modelling economic disruptions in India's electronics sector due to the Red Sea crisis
(Journal of Transport Geography, 2025-02) Sarkar, Bishal Dey; Gupta, Laxmi; Jagtap, Sandeep
The Red Sea crisis and the recent attacks on commercial ships have drawn significant attention worldwide, underscoring the need to understand how such geopolitical conflicts can disrupt global supply chains and economic stability. This paper thoroughly examines the complex impacts of the crisis on India's electronics and photonics sector, recognizing the sector's crucial importance as a fundamental pillar in the country's economic structure. The study creates a mathematical model to assess how disruptions in the Electronics and Photonics Sector affect India's economy in light of the Red Sea Crisis. The model uses two specific methods: interval programming and input-output modelling. How disruption in one area of the economy ripples to another is studied using Wassily Leontief's Inoperability Input-output Model (IIM). IIM now includes interval programming to handle data uncertainties. The findings disclose that, because of the Red Sea crisis, Indian Sector has experienced a huge economic loss of 605.52 million USD. The study also determines which sectors are anticipated to suffer significant losses due to the crisis, allowing decision-makers to prioritize their investment plans. Further, the research uses the inoperability value to analyse the interconnections between the sectors. Additionally, a decision-support conclusion is included in the research to analyse the sectors under various situations.
Strategic modelling for sustainable power grids: a comprehensive study on energy storage integration in India
(Journal of Modelling in Management, 2025-02-11) Gupta, Laxmi; Sarkar, Bishal Dey; Shankar,Ravi
Purpose This study aims to address the critical need for innovation in the power grid sector, driven by global carbon reduction commitments. It highlights the pivotal role of critical success factors (CSFs) in enhancing system adaptability and environmental mitigation within India’s power industry. Design/methodology/approach This research is grounded on transition management theory to identify and validate the CSFs necessary to integrate energy storage systems (ESS). Here, exploratory factor analysis (EFA) and total interpretive structural modeling (TISM) are integrated to evaluate the model’s effectiveness in reducing CO2 emissions while ensuring grid stability and flexibility. Findings The research develops a seven-level hierarchical model illustrating the interaction of ESS components for a stable power grid, clean energy and a profitable electric industry. It emphasizes the strategic significance of managing key factors to reduce CO2 emissions and ensure grid stability. The study recommends continuous monitoring at tactical and operational levels to enhance overall performance. Research limitations/implications The study provides policymakers with strategic insights for the successful implementation of smart grid initiatives, facilitating effective decarbonization of the electricity industry. Additionally, it offers a comprehensive framework for minimizing the environmental impact associated with electricity generation, thereby enhancing overall operational sustainability and efficiency. Originality/value The originality of this study lies in its integration of EFA and TISM for robust model assessment and the application of transition management theory to identify and validate CSFs in the integration of ESS. This approach offers a novel perspective on enhancing the sustainability and efficiency of power grids.