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Toward the creation of novel food waste management systems: a network approach

Toward the creation of novel food waste management systems: a network approach

Ghinoi, Stefano ORCID: 0000-0002-9857-4736, Silvestri, Francesco and Steiner, Bodo (2019) Toward the creation of novel food waste management systems: a network approach. Journal of Cleaner Production, 246:118987. ISSN 0959-6526 (doi:https://doi.org/10.1016/j.jclepro.2019.118987)

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Abstract

In light of the global significance of food waste, a greater focus on improving food waste management strategies is called for. Implementing such management strategies requires a better understanding of stakeholder relations. This paper analyses the structure of multiplex relations among stakeholders involved in the creation of a novel food waste management system, investigating the drivers of network formation when multiple collaborations are observed between pairs of stakeholders. We apply Social Network Analysis to study food waste reduction strategies in the City of Ferrara (Italy). Our results provide support for the practical relevance of multiple interactions across dyadic relationships in stakeholder networks. They also suggest that ‘third parties’ are not necessary for an effective networking strategy, and that relationships between stakeholders of similar levels of expertise are not required for establishing multiple relationships, suggesting that functionally diverse coalitions are of greater practical relevance for food waste management strategies.

Item Type: Article
Uncontrolled Keywords: food waste management, stakeholders, multiplexity, social network analysis
Subjects: H Social Sciences > H Social Sciences (General)
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Department of International Business & Economics
Faculty of Business > Networks and Urban Systems Centre (NUSC)
Faculty of Business > Networks and Urban Systems Centre (NUSC) > Centre for Business Network Analysis (CBNA)
Last Modified: 12 Apr 2021 21:14
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: REF 4
URI: http://gala.gre.ac.uk/id/eprint/28675

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