
Bishal Dey Sarkar- Doctor of Philosophy
- Professor (Assistant) at Indian Institute of Management Bodh Gaya
Bishal Dey Sarkar
- Doctor of Philosophy
- Professor (Assistant) at Indian Institute of Management Bodh Gaya
About
34
Publications
4,649
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314
Citations
Introduction
Current institution
Indian Institute of Management Bodh Gaya
Current position
- Professor (Assistant)
Publications
Publications (34)
Industry 5.0 (I5.0) presents opportunities for streamlining processes, reducing waste, improving resource utilization, and enabling real‐time monitoring and decision‐making in the supply chain. This study proposes a strategy for information‐sharing among pharmaceutical supply chain partners, leveraging I5.0 technologies and circular economy strateg...
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 grou...
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, recognizi...
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 enha...
Purpose
The disconnect between producers and consumers is a fundamental issue causing irregularities, inefficiencies and leakages in the agricultural sector, leading to detrimental impacts on all stakeholders, particularly farmers. Despite the potential benefits of Metaverse technology, including enhanced virtual representations of physical reality...
Achievement of sustainability goals is an epic task for developing economies that still strive to fulfil their basic needs. The availability of limited resources in the developing world vis-à-vis the ever-increasing demand poses further challenges to developing economies willing to transition into circular economies. Reverse logistics (RL) can faci...
Purpose
Recent worldwide developments have altered how businesses operate. As a result, when making business decisions, the emphasis for many industries has shifted towards digital adoption to ensure sustainability, and the food supply chain is no exception. However, a substantial gap exists in assessing the barriers to a digitised food supply chai...
Purpose
Supply chain finance (SCF) has become a vital ingredient that fosters growth and provides flexibility to the global supply chain. Thus, it becomes essential to understand the factors that contribute to the success of the supply chain finance ecosystem (SCFE). This study aims to identify the critical success factors (CSFs) for the developmen...
Precise electricity forecasting is a pertinent challenge in effectively controlling the supply and demand of power. This is due to the inherent volatility of electricity, which cannot be stored and must be utilised promptly. Thus, this study develops a framework integrating canonical cointegrating regressions (CCR), time series artificial neural ne...
The need for a sustainable future and growing concerns about climate change have fuelled the global push towards adopting green energy. This research presents critical success factors (CSFs) contributing to adopting sustainable green energies. This paper outlines a portfolio of methodologies such as Exploratory Factor Analysis, Trade-off analysis,...
The emergence of novel innovations has disrupted multiple service sectors, and healthcare is one such sector that has seen significant changes since the inception of Internet. The incorporation of information communication and technology (ICT) in the healthcare sector has been introduced previously; however, the recent COVID-19 pandemic has exponen...
Wastage of food is a significant problem for worldwide sustainability due to the quick pace of industrialization, increasing demand for food, and worries about food safety. Approximately one-third of the food produced for human consumption is lost or discarded, significantly negatively affecting society, the environment, and the economy. To address...
Online healthcare supply chain management (OHCSCM) in rural areas is a matter of concern and is susceptible to policy changes, especially after the alarms raised by the COVID‐19 pandemic. This study aims to develop an approach towards examining the state and building a framework for examining the OHCSCM in rural areas. The study develops a framewor...
In recent times, Industry 4 [...]
Purpose
The conflict in Russian Ukraine is a problem for the world economy because it hinders growth and drives up inflation when it is already high. The trade route between India and Russia is also impacted by the Russia-Ukraine crisis. This study aims to compile the most recent data on how the present global economic crisis is affecting it, with...
Freight transport is critical to the development of the global economy, but it also increases greenhouse gas (GHG) emissions. As a result, global challenges, such as climate change, must be addressed. Hydrogen‐fueled transportation could be a viable, sustainable alternative by providing a clean, efficient, and long‐term alternative to fossil fuels,...
In a closed-loop supply chain (CLSC), acquiring end-of-life vehicles (ELVs) and their components from both primary and secondary markets has posed a huge uncertainty and risk. Moreover, the constant supply of ELV components with minimization of cost and exploitation of natural resources is another pressing challenge. To address the issues, the pres...
Purpose
Global trade depends on more complex, prolonged and larger port systems, where port logistics is a backbone for such operations. Ports are responsible for transferring more than 80 percent of the global trade. Port logistics are prone to being risk-oriented. The study proposes a model to study various port logistics barriers and their assoc...
Purpose
In Industry 4.0 era, many existing port logistics systems are inconsistent, old and ineffective and it restricts the effective operations of port logistics. The study aims to understand the issues faced by the players/actors of port logistics in the Industry 4.0 era for emerging economies and to develop a conceptual framework for managing t...
Port logistics plays an important role in moving physical resources across the globe. The study aims to identify and analyze barriers associated with port logistics in Industry 4.0 era for emerging economies. A total of eighteen key barriers were selected from the literature and finalized by conducting a multi-stage workshop by considering the view...
Purpose
Presently, Indian sectors are manifesting a higher level of interdependency and making the economy more vulnerable to human-caused and natural disasters. COVID-19 pandemic creates a devastating effect on the world economy. The Indian economy was expected to lose around ₹ 32,000 crores every day during the first 21 days of complete lockdown....
The large volume of data in all fields across the globe has to be managed and is used by the decision makers to obtain something productive out of it. The big data of 14000×5 of Harvard University online course is analysed to find the performance metrics of registered students from different countries by means of K-mean clustering method. The perfo...
In this paper, ANN is trained for determining the length and width of a rectangular patch antenna at a given resonant frequency and height. Training is done through Bayesian Regularization (BR) and Levenberg Marquart (LM) algorithms. After training ANN, the best suitable algorithm is taken and the result from that algorithm obtained are compared wi...
This paper determine the resonant frequency of a rectangular patch antenna using Artificial Neural Network (ANN) at a given length, width, height and dielectric constant. The result of ANN model is compare with theoretical design equation of rectangular patch antenna. The resonant frequency is maintained at Ku (12 GHz–18 GHz) band which is used for...