Browsing by Author "Agrawal, Rohit"

Now showing 1 - 2 of 2

Citation - WoS: 53
Citation - Scopus: 66
An Exploratory State-of-the-Art Review of Artificial Intelligence Applications in Circular Economy using Structural Topic Modeling
(Springer, 2022) Rohit Agrawal; Vishal A. Wankhede; Anil Kumar; Sunil Luthra; Abhijit Majumdar; Yigit Kazancoglu; Luthra, Sunil; Kumar, Anil; Agrawal, Rohit; Wankhede, Vishal A.; Kazancoglu, Yigit; Majumdar, Abhijit
The world is moving into a situation where resource scarcity leads to an increase in material cost. A possible way to deal with the above challenge is to adopt Circular Economy (CE) concepts to make a close loop of material by eliminating industrial or post-consumer wastes. Integration of emerging technologies such as Artificial Intelligence (AI) machine learning and big data analytics provides significant support in successfully adopting and implementing CE practices. This study aims to explore the applications of AI techniques in enhancing the adoption and implementation of CE practices. A systematic literature review was performed to analyze the existing scenario and the potential research directions of AI in CE. A collection of 220 articles was shortlisted from the SCOPUS database in the field of AI in CE. A text mining approach known as Structural Topic Modeling (STM) was used to generate different thematic topics of AI applications in CE. Each generated topic was then discussed with shortlisted articles. Further a bibliometric study was performed to analyze the research trends in the field of AI applications in CE. A research framework was proposed for AI in CE based on the review conducted which could help industrial practitioners and researchers working in this domain. Further future research propositions on AI in CE were proposed. © 2022 Elsevier B.V. All rights reserved.
Citation - Scopus: 35
Reinventing reverse logistics through blockchain technology: a comprehensive review and future research propositions
(Taylor and Francis Ltd., 2023) Ashutosh Samadhiya; Anil Kumar; Rohit Agrawal; Yigit Kazancoglu; Rajat Agrawal; Kumar, Anil; Samadhiya, Ashutosh; Agrawal, Rohit; Kazancoglu, Yigit
Blockchain Technology (BCT) has effectively evolved in reverse logistics (RL) to speed up its operation by decentralising tracing and monitoring the goods delivered to the end consumers. This study outlines the current research fashion of BCT applicability in RL from 2015 to 22. A wide range of 226 research papers is selected from the SCOPUS database to conduct the bibliometric and network analysis for offering a comprehensive literature review on research clusters and fashions of BCT in RL. Some primary research clusters such as infrastructure development sustainable manufacturing logistics circular supply chain and waste management are identified. The network analysis has helped identify pioneer authors journals and countries actively involved in BCT research in RL. The content analysis findings indicate the evolution of BCT in various themes of RL. The articles also develop a result systematisation framework to concisely offer the outcomes of this research. Further the current study provides recommendations for future research work for academic and industry practitioners based on the existing literature. © 2023 Elsevier B.V. All rights reserved.