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Smart city article details
| Title | Recycling Behaviour: Mapping Knowledge Domain Through Bibliometrics And Text Mining |
|---|---|
| ID_Doc | 44710 |
| Authors | Concari A.; Kok G.; Martens P. |
| Year | 2022 |
| Published | Journal of Environmental Management, 303 |
| DOI | http://dx.doi.org/10.1016/j.jenvman.2021.114160 |
| Abstract | In recent years, the research on human behaviour in relation to waste management has increased at an exponential rate. At the same time, the expanding academic literature on this topic makes it more difficult to understand the main areas of interest, the leading institutions and authors, the possible interconnections among different disciplines, and the gaps. This paper maps knowledge domain on recycling behaviour through bibliometric analysis and text mining in order to identify current trends, research networks and hot topics. 2061 articles between 1975 and 2020 from three different databases are examined with an interdisciplinary approach. The findings reveal that 60% of papers have been published between 2015 and 2020, and this topic is of global interest. Leading countries are mainly located in Europe, North America and Commonwealth; however, China and Malaysia are also assuming a driving role. Bibliometrics and text mining provide the intellectual configuration of the knowledge on recycling behaviour; co-word analysis individuates conceptual sub-domains in food waste, determinants of recycling behaviour, waste management system, waste electrical and electronic equipment (WEEE), higher-level education, plastic bags, and local government. Overall, waste management and related human behaviour represent a universal challenge requiring a structured and interdisciplinary approach at all levels (individual, institutions, industry, academia). Lastly, this paper offers some suggestions for future research such as smart city design, sensor network system, consumer responsibilisation, the adoption of a more comprehensive view of the areas of investigation through the holistic analysis of all stakeholders. © 2021 The Authors |
| Author Keywords | Bibliometric analysis; Mapping knowledge domain (MKD); Recycling behaviour; Systematic literature review (SLR); Text mining; Waste management |
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