The aim of this literature review is to suggest future research on industrial symbiosis. This study is based on the analysis of the latent topics related with the industrial symbiosis found in a collection of 611 scientific articles retrieved from Web of Science on 2022/3/11. Our research process applies the topic modelling technique, which allows the grouping of documents that discuss similar topics, even if these topics are not explicitly mentioned in the documents themselves The initial classification of the existing body of works made it possible to identify current trends and developments in the field and the most promising lines of future research. Specifically, we identified 12 themes, which we characterised with a short sentence rather than a single label. Among the 12 themes, we have highlighted those that are attracting increasing attention from scholars, while others are declining or remaining stable over time.

Predicting the Evolution of Literature on Industrial Symbiosis Using Topic Modeling / Sorrentini, A; Valeri, M; Sorrentini, F; Russo, A. - In: INTERNATIONAL JOURNAL OF BUSINESS AND MANAGEMENT. - ISSN 1833-3850. - 18:5(2023), pp. 1-15. [10.5539/ijbm.v18n5p1]

Predicting the Evolution of Literature on Industrial Symbiosis Using Topic Modeling

Sorrentini F;
2023

Abstract

The aim of this literature review is to suggest future research on industrial symbiosis. This study is based on the analysis of the latent topics related with the industrial symbiosis found in a collection of 611 scientific articles retrieved from Web of Science on 2022/3/11. Our research process applies the topic modelling technique, which allows the grouping of documents that discuss similar topics, even if these topics are not explicitly mentioned in the documents themselves The initial classification of the existing body of works made it possible to identify current trends and developments in the field and the most promising lines of future research. Specifically, we identified 12 themes, which we characterised with a short sentence rather than a single label. Among the 12 themes, we have highlighted those that are attracting increasing attention from scholars, while others are declining or remaining stable over time.
2023
Predicting the Evolution of Literature on Industrial Symbiosis Using Topic Modeling / Sorrentini, A; Valeri, M; Sorrentini, F; Russo, A. - In: INTERNATIONAL JOURNAL OF BUSINESS AND MANAGEMENT. - ISSN 1833-3850. - 18:5(2023), pp. 1-15. [10.5539/ijbm.v18n5p1]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/948100
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