Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Strazzullo, S., Moro, S. & Cricelli, L. (2023). Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis. Sustainable Development. 31 (4), 2851-2862
Exportar Referência (IEEE) 
S. Strazzullo et al.,  "Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis", in Sustainable Development, vol. 31, no. 4, pp. 2851-2862, 2023
Exportar BibTeX 
@article{strazzullo2023_1730780454071,
	author = "Strazzullo, S. and Moro, S. and Cricelli, L.",
	title = "Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis",
	journal = "Sustainable Development",
	year = "2023",
	volume = "31",
	number = "4",
	doi = "10.1002/sd.2552",
	pages = "2851-2862",
	url = "https://onlinelibrary.wiley.com/doi/10.1002/sd.2552"
}
Exportar RIS 
TY  - JOUR
TI  - Unveiling the relationship between sustainable development and Industry 4.0: A text mining literature analysis
T2  - Sustainable Development
VL  - 31
IS  - 4
AU  - Strazzullo, S.
AU  - Moro, S.
AU  - Cricelli, L.
PY  - 2023
SP  - 2851-2862
SN  - 0968-0802
DO  - 10.1002/sd.2552
UR  - https://onlinelibrary.wiley.com/doi/10.1002/sd.2552
AB  - This 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. 
ER  -