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Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis

descriptionPublicationkeyboard_double_arrow_right Article 21 Mar 2023 Portugal, Italy, Portugal Publisher:WileyJournal:Sustainable Development, volume 31, pages 2,851-2,862 (issn: 0968-0802, eissn: 1099-1719,

Authors: Serena Strazzullo; Sérgio Moro; Livio Cricelli;

doi: 10.1002/sd.2552

handle: 11588/915137

Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis

- Summary
- Subjects
- Metrics

Abstract

AbstractThis article aims to assess the evolution of the literature on the link between Industry 4.0 and sustainable development. Through a systematic analysis of the literature, a sample of 234 documents was identified, published between 2011 and 2021. Given the large number of papers collected, the text mining approach was performed to analyze the sample of documents. In particular, the latent Dirichlet allocation model was adopted to group articles in different relevant topics starting from two dictionaries belonging to terms both in the domain of Industry 4.0 and in sustainability. As a result, 11 different topics have been identified that link these two domains. The results showed a strong predominance of Industry 4.0 compared to sustainability models that are very focused only on the environmental aspect. In conclusion, this study emphasizes future research potential by highlighting these existing research areas.

Countries

Portugal, Italy, Portugal

Related Organizations

INSTITUTO UNIVERSITARIO DE LISBOA
Portugal
Iscte - Instituto Universitário de Lisboa
Portugal
University Federico II of Naples
Italy

Keywords

Technology, corporate social responsibility, Text mining, :Ciências Sociais::Geografia Económica e Social [Domínio/Área Científica], :Ciências Naturais::Ciências da Computação e da Informação [Domínio/Área Científica], text mining, :Ciências Sociais::Outras Ciências Sociais [Domínio/Área Científica], Industry 4.0, sustainability, triple bottom line, :Ciências Sociais::Economia e Gestão [Domínio/Área Científica], Sustainability, technology, corporate social responsibility, Industry 4.0, sustainability, technology, text mining, triple bottom line, Corporate social responsibility, Triplebottom line

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	15
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%