Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]

Background: Industrial symbiosis (IS) primarily involves interfirm utilization of industrial residual resources. An important factor determining the success of IS is the identification and matching of cooperation opportunities. Digital tools, including IS platforms, are considered facilitators of th...

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Autores principales: Chrysanthi Akrivou, Lucyna Łȩkawska-Andrinopoulou, Georgios Tsimiklis, Angelos Amditis
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Publicado: F1000 Research Limited 2021
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spelling oai:doaj.org-article:f3f424dad14e487a9e305f3a884df9642021-11-15T15:26:29ZIndustrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]2732-512110.12688/openreseurope.13893.2https://doaj.org/article/f3f424dad14e487a9e305f3a884df9642021-11-01T00:00:00Zhttps://open-research-europe.ec.europa.eu/articles/1-101/v2https://doaj.org/toc/2732-5121Background: Industrial symbiosis (IS) primarily involves interfirm utilization of industrial residual resources. An important factor determining the success of IS is the identification and matching of cooperation opportunities. Digital tools, including IS platforms, are considered facilitators of this process. This systematic literature review addresses the research question: ‘Which are the most important data points of an IS platform and how can they be used for the promotion of IS?’. Methods: The review is based on scientific publications from the following academic research databases: ScienceDirect, Scopus, SpringerLink, Wiley Online Library, AISel and IEEE (via Google Scholar), and grey literature obtained through a customized Google search technique, last performed on 9/3/2021. Records were included according to their scientific content, namely if the document: i) examined the identification of synergies utilizing ICT tools, ii) data requirements or platform related information were presented or iii) the impact of a digital tool in promoting IS was discussed. Exclusion criteria were: articles not written in English, not peer-reviewed, published before 2016 or document type other than scientific article, conference paper or EU project deliverable. Two independent reviewers performed title scanning and abstract reading of the documents to reduce the risk of bias. Results: The total number of records included after abstract and full text reading was 32. The main results of this review suggest that two significant types of data points are encountered in IS platforms; i) data required for synergy identification and ii) platform related information. Conclusions: A possible limitation of the study is a minor risk of bias due to one reviewer performing full text reading and synthesis of results; however, they reported to and consulted with the supervising reviewer. Overall, the results indicate that several types of data points are required for effective matching and successful promotion of IS through digital tools.Chrysanthi AkrivouLucyna Łȩkawska-AndrinopoulouGeorgios TsimiklisAngelos AmditisF1000 Research LimitedarticleScienceQSocial SciencesHENOpen Research Europe, Vol 1 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
Social Sciences
H
spellingShingle Science
Q
Social Sciences
H
Chrysanthi Akrivou
Lucyna Łȩkawska-Andrinopoulou
Georgios Tsimiklis
Angelos Amditis
Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
description Background: Industrial symbiosis (IS) primarily involves interfirm utilization of industrial residual resources. An important factor determining the success of IS is the identification and matching of cooperation opportunities. Digital tools, including IS platforms, are considered facilitators of this process. This systematic literature review addresses the research question: ‘Which are the most important data points of an IS platform and how can they be used for the promotion of IS?’. Methods: The review is based on scientific publications from the following academic research databases: ScienceDirect, Scopus, SpringerLink, Wiley Online Library, AISel and IEEE (via Google Scholar), and grey literature obtained through a customized Google search technique, last performed on 9/3/2021. Records were included according to their scientific content, namely if the document: i) examined the identification of synergies utilizing ICT tools, ii) data requirements or platform related information were presented or iii) the impact of a digital tool in promoting IS was discussed. Exclusion criteria were: articles not written in English, not peer-reviewed, published before 2016 or document type other than scientific article, conference paper or EU project deliverable. Two independent reviewers performed title scanning and abstract reading of the documents to reduce the risk of bias. Results: The total number of records included after abstract and full text reading was 32. The main results of this review suggest that two significant types of data points are encountered in IS platforms; i) data required for synergy identification and ii) platform related information. Conclusions: A possible limitation of the study is a minor risk of bias due to one reviewer performing full text reading and synthesis of results; however, they reported to and consulted with the supervising reviewer. Overall, the results indicate that several types of data points are required for effective matching and successful promotion of IS through digital tools.
format article
author Chrysanthi Akrivou
Lucyna Łȩkawska-Andrinopoulou
Georgios Tsimiklis
Angelos Amditis
author_facet Chrysanthi Akrivou
Lucyna Łȩkawska-Andrinopoulou
Georgios Tsimiklis
Angelos Amditis
author_sort Chrysanthi Akrivou
title Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
title_short Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
title_full Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
title_fullStr Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
title_full_unstemmed Industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
title_sort industrial symbiosis platforms for synergy identification and their most important data points: a systematic review [version 2; peer review: 2 approved]
publisher F1000 Research Limited
publishDate 2021
url https://doaj.org/article/f3f424dad14e487a9e305f3a884df964
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