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Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0

Arun Malik (School of Computer Science and Engineering, Lovely Professional University, Punjab, India)
Shamneesh Sharma (UpGrad Campus, UpGrad Education Private Ltd, Mumbai, India)
Isha Batra (School of Computer Science and Engineering, Lovely Professional University, Punjab, India)
Chetan Sharma (UpGrad Campus, UpGrad Education Private Ltd, Mumbai, India)
Mahender Singh Kaswan (School of Mechanical Engineering, Lovely Professional University, Phagwara, India)
Jose Arturo Garza-Reyes (Centre for Supply Chain Improvement, University of Derby, Derby, UK)

International Journal of Lean Six Sigma

ISSN: 2040-4166

Article publication date: 16 May 2023

Issue publication date: 12 January 2024

614

Abstract

Purpose

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

Design/methodology/approach

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

Findings

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

Research limitations/implications

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

Originality/value

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

Keywords

Citation

Malik, A., Sharma, S., Batra, I., Sharma, C., Kaswan, M.S. and Garza-Reyes, J.A. (2024), "Industrial revolution and environmental sustainability: an analytical interpretation of research constituents in Industry 4.0", International Journal of Lean Six Sigma, Vol. 15 No. 1, pp. 22-49. https://doi.org/10.1108/IJLSS-02-2023-0030

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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