2020
DOI: 10.3390/ijerph17134798
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Mapping the Structure of Food Waste Management Research: A Co-Keyword Analysis

Abstract: Food loss and waste represent a global problem in the ethical, social, environmental, and economic contexts. The aim of this article is to identify leading concepts in studies on food loss and waste in management research by network analysis of the co-occurrence of keywords, via mapping of knowledge domains, a method used in bibliometrics. We analyzed 2202 records from the Scopus database on food waste management with the aid of the VOSviewer software tool. In particular, keyword co-occurrence analysis… Show more

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Cited by 31 publications
(16 citation statements)
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“…Any raw material produced for human consumption that is removed from the value chain for any reason may be considered FLW [29,30]. Globally, this equates to 1.6 billion tons annually [30,31] and includes raw material rejected due to inferior quality or not meeting manufacturing specifications [32].…”
Section: Discussionmentioning
confidence: 99%
“…Any raw material produced for human consumption that is removed from the value chain for any reason may be considered FLW [29,30]. Globally, this equates to 1.6 billion tons annually [30,31] and includes raw material rejected due to inferior quality or not meeting manufacturing specifications [32].…”
Section: Discussionmentioning
confidence: 99%
“…It can import and process information from Scopus and WoS, analyze the index of scientific literature, and construct the data matrix; the co-citation, coupling, co-, and co-word analyses; and other aspects of research and visualization [52] from recent years in various fields of scientific research [53][54][55]. VOSviewer, developed by Nies Jan van Eck and Ludo Waltman, is widely used in all kinds of co-occurrence analysis software, especially in terms of keyword co-occurrence analysis [56][57][58][59][60][61]. CiteSpace, developed by Professor Chen Chaomei of Drexel University in the United States, is known for its powerful document co-citation analysis.…”
Section: Methodsmentioning
confidence: 99%
“…The keywords were queried on two databases, Scopus and Web of Science (WoS), which are considered the most comprehensive databases of peer-reviewed journals that store a broad range of scientific papers (Chadegani et al, 2013;Nobre and Tavares, 2017;Mokhtar et al, 2019). Additionally, both databases have been used extensively in producing SLR in the field of circular economy (Homrich et al, 2018;Merli et al, 2018;Türkeli et al, 2018;Sehnem et al, 2019) and FLW management (Chen et al, 2015;Ferrazzi et al, 2019;Gorzen-Mitka et al, 2020). The merging of two databases is beneficial in order to increase the likelihood of finding all the relevant contributions and to provide a high level of rigour in searching and selecting the papers to be included in the subsequent analysis (Centobelli et al, 2017).…”
Section: Materials Collectionmentioning
confidence: 99%