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Mapping the Structure of Food Waste Management Research: A Co-Keyword Analysis

Author

Listed:
  • Iwona Gorzeń-Mitka

    (Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland)

  • Beata Bilska

    (Department of Food Gastronomy and Food Hygiene, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences, 02-776 Warsaw, Poland)

  • Marzena Tomaszewska

    (Department of Food Gastronomy and Food Hygiene, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences, 02-776 Warsaw, Poland)

  • Danuta Kołożyn-Krajewska

    (Department of Food Gastronomy and Food Hygiene, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences, 02-776 Warsaw, Poland)

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 was adopted to visually explore knowledge bases, topic distribution, and research fronts in the field of food waste management research. Ten representative areas were found concentrated in main keywords, namely, food waste, waste management, food, anaerobic digestion, waste disposal, recycling, waste treatment, municipal solid waste, solid waste, and refuse disposal.

Suggested Citation

  • Iwona Gorzeń-Mitka & Beata Bilska & Marzena Tomaszewska & Danuta Kołożyn-Krajewska, 2020. "Mapping the Structure of Food Waste Management Research: A Co-Keyword Analysis," IJERPH, MDPI, vol. 17(13), pages 1-31, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4798-:d:380010
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    References listed on IDEAS

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    1. Nees Jan Eck & Ludo Waltman & Ed C. M. Noyons & Reindert K. Buter, 2010. "Automatic term identification for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 581-596, March.
    2. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    3. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    4. Ola Eriksson, 2017. "Energy and Waste Management," Energies, MDPI, vol. 10(7), pages 1-7, July.
    5. Waltman, Ludo & van Eck, Nees Jan & Noyons, Ed C.M., 2010. "A unified approach to mapping and clustering of bibliometric networks," Journal of Informetrics, Elsevier, vol. 4(4), pages 629-635.
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    1. Sujith S. Ratnayake & Michael Reid & Nicolette Larder & Champika S. Kariyawasam & Callum Hunter & Danny Hunter & Punchi B. Dharmasena & Gamini Pushpakumara & Benjamin Kogo, 2024. "Sustainability and Productivity of Village Tank Cascade Systems: A Bibliometric Analysis and Knowledge Mapping," Sustainability, MDPI, vol. 16(8), pages 1-25, April.
    2. Marzena Tomaszewska & Beata Bilska & Danuta Kołożyn-Krajewska, 2022. "The Influence of Selected Food Safety Practices of Consumers on Food Waste Due to Its Spoilage," IJERPH, MDPI, vol. 19(13), pages 1-22, July.
    3. Lijun Li, 2023. "Big data visualisation in regional comprehensive economic partnership: a systematic review," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    4. Marek Zborowski & Anna Mikulec, 2022. "Dietary Catering: The Perfect Solution for Rational Food Management in Households," Sustainability, MDPI, vol. 14(15), pages 1-10, July.
    5. Yiran Ouyang & Yanpeng Cai & Hongjiang Guo, 2021. "Visualization and Analysis of Mapping Knowledge Domains for Food Waste Studies," IJERPH, MDPI, vol. 18(10), pages 1-17, May.
    6. Ying Yang & Jinruo Qin & Jing Lei & Yanping Liu, 2023. "Research Status and Challenges on the Sustainable Development of Artificial Intelligence Courses from a Global Perspective," Sustainability, MDPI, vol. 15(12), pages 1-20, June.

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