Surajit Bag

Prof. Surajit Bag

orcid

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in Technological Forecasting and Social Change
Verified
Journal Article
Closed access
SBSurajit Bag
Surajit Bag
JPJan Ham Christiaan Pretorius
Jan Ham Christiaan Pretorius
SGShivam Gupta
Shivam Gupta
YDYogesh K. Dwivedi
Yogesh K. Dwivedi

1 February 2020 in Resources, Conservation and Recycling
Verified
Journal Article
Closed access
SBSurajit Bag
Surajit Bag
Lincoln C. WoodLincoln C. Wood
Lincoln C. Wood
Lei XuLei Xu
Lei Xu
PDPavitra Dhamija
Pavitra Dhamija
YKYasanur Kayikci
Yasanur Kayikci

16 July 2020 in International Journal of Organizational Analysis
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Journal Article
Closed access
PDF file
SBSurajit Bag
Surajit Bag
JPJan Harm Christiaan Pretorius
Jan Harm Christiaan Pretorius
Purpose: The digital revolution has brought many challenges and opportunities for the manufacturing firms. The impact of Industry 4.0 technology adoption on sustainable manufacturing and circular economy has been under-researched. This paper aims to review the latest articles in the area of Industry 4.0, sustainable manufacturing and circular economy and further developed a research framework showing key paths. Design/methodology/approach: Qualitative research is performed in two stages. In the first stage, a review of the extant literature is performed to identify the barriers, drivers, challenges and opportunities. In the second stage, a research framework is proposed to integrate Industry 4.0 technology (big data analytics powered artificial intelligence) adoption, sustainable manufacturing and circular economy capabilities. Findings: This research extends the knowledge base by providing a detailed review of Industry 4.0, sustainable manufacturing, and circular economy and proposes a research framework by integrating these three contemporary concepts in the context of supply chain management. Through an exploration of this integrative research framework, the authors propose a future research agenda and seven research propositions. Research limitations/implications: It is important to understand the interplay between institutional pressures, tangible resources and human skills for Industry 4.0 technology (big data analytics powered artificial intelligence) adoption. Industry 4.0 technology (big data analytics powered artificial intelligence) adoption can positively influence sustainable manufacturing and circular economy capabilities. Managers must also put more attention to sustainable manufacturing to develop circular economic capabilities. Social implications: Factory workers and the local communities generally suffer from various adverse effects resulting from the traditional manufacturing process. The quality of the environment is deteriorating to such an extent that people even staying miles away from the factory are also affected due to environmental pollution that is generated from factory operations. Hence, sustainable manufacturing is the only choice left to manufacturers that can help in the transition to a circular economy. The research framework can help firms to enhance circular economy capabilities. Originality/value: This review paper contains the most updated work on Industry 4.0, sustainable manufacturing and circular economy. It also proposes a research framework to integrate these three concepts.

20 December 2018 in Benchmarking: An International Journal
Verified
Journal Article
Closed access
SBSurajit Bag
Surajit Bag
ATArnesh Telukdarie
Arnesh Telukdarie
Jan Harm C. PretoriusJan Harm C. Pretorius
Jan Harm C. Pretorius
Shivam GuptaShivam Gupta
Shivam Gupta
The evolution of technology from the most recent industrial age to the technology era better known as Industry 4.0 resulted in greater demand for horizontal, vertical and end-to-end digital integration. Prior studies show that Industry 4.0 adoption majorly influences the sustainability aspects in a supply chain network. The purpose of this paper is to identify the Industry 4.0 enablers of supply chain sustainability and further attempt to propose a research framework to bridge the theoretical gaps. In this research study, the authors have used a systematic literature review methodology in the field of Industry 4.0 and sustainable supply chain management. The list of papers was downloaded from Scopus (www.scopus.com) database. Through strict screening, only journal papers were selected for conducting the review of the literature. The review brings out some interesting findings which will be helpful for the research community. There have been limited research in the area of managing supply chain network sustainability through Industry 4.0 technologies. The authors found only 10 papers out of a total of 53 papers which emphasize on smart manufacturing, smart production system, smart warehouse management system, smart logistics and sustainability. Most of the previous research studies have ignored the social aspects of supply chain sustainability. Finally, the authors identified 13 key enablers of Industry 4.0 playing an important role in driving supply chain sustainability. The strategies for Industry 4.0 should be refined and detailed to develop economic and social systems that can act flexibly to sudden changes in the system. Top management must be convinced for prioritizing investment support and creating a system that can facilitate technology convergence. Managers must also act on new models of employment and frame plans to continuously improve the system. In addition, managers must focus on establishing a collaborative platform to facilitate high-tech research and developments. Finally, it is essential to develop a performance management system for monitoring all actions in the supply chain network. Integrating two independent subjects is the uniqueness of the current study. Here, Industry 4.0 and supply chain sustainability have been integrated to build the research framework, and in such a process, the authors have extended the existing knowledge base.

1 January 2020 in Resources, Conservation and Recycling
Verified
Journal Article
Closed access
SBSurajit Bag
Surajit Bag
LWLincoln C. Wood
Lincoln C. Wood
Sachin ManglaSachin Mangla
Sachin Mangla
SLSunil Luthra
Sunil Luthra

27 January 2021 in Operations Management Research
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Journal Article
Closed access
PDF file
AMArchana A Mukherjee
Archana A Mukherjee
RSRajesh Kumar Singh
Rajesh Kumar Singh
RMRuchi Mishra
Ruchi Mishra
SBSurajit Bag
Surajit Bag