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Distinguishing Organisational Profiles of Food Loss Management in Logistics

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  • Julia Kleineidam

    (Institute for Technology and Management, Berlin University of Technology, 10623 Berlin, Germany)

Abstract

Background : Food loss management (FLM), which is discussed at length in the literature, lacks a scientific basis on which to determine the current engagement of actors in the food value chain and what is relevant to derive appropriate measures according to the circumstances in the organisations concerned. Therefore, this paper aims to derive patterns by which the engagement of actors can be distinguished and, on this basis, to make recommendations for further action. Methods : Based on an online survey of 40 participants, a clustering analysis was conducted using the unsupervised learning method and hierarchical clustering (R and R Studio). Results : Five clusters representing different profiles were derived, showing how actors in the food value chain have addressed FLM in the past. The derived profiles do not represent stages of development but rather characteristics of organisations that have addressed FLM in a certain way in the past. Conclusions : For the five organisational profiles, recommendations for action were given for further engagement with FLM. As the level of engagement with FLM increases, organisations should tackle increasingly complex measures to reduce food losses. At the same time, a shift in measures from the tactical to the strategic planning level was derived.

Suggested Citation

  • Julia Kleineidam, 2022. "Distinguishing Organisational Profiles of Food Loss Management in Logistics," Logistics, MDPI, vol. 6(3), pages 1-23, August.
    • Handle: RePEc:gam:jlogis:v:6:y:2022:i:3:p:61-:d:890302
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    References listed on IDEAS

    as
    1. Meng-Leong How & Yong Jiet Chan & Sin-Mei Cheah, 2020. "Predictive Insights for Improving the Resilience of Global Food Security Using Artificial Intelligence," Sustainability, MDPI, vol. 12(15), pages 1-14, August.
    2. Beatrice Garske & Katharine Heyl & Felix Ekardt & Lea Moana Weber & Wiktoria Gradzka, 2020. "Challenges of Food Waste Governance: An Assessment of European Legislation on Food Waste and Recommendations for Improvement by Economic Instruments," Land, MDPI, vol. 9(7), pages 1-23, July.
    3. Julia Wojciechowska-Solis & Anetta Barska, 2021. "Exploring the Preferences of Consumers’ Organic Products in Aspects of Sustainable Consumption: The Case of the Polish Consumer," Agriculture, MDPI, vol. 11(2), pages 1-17, February.
    4. Julia Kleineidam, 2020. "Fields of Action for Designing Measures to Avoid Food Losses in Logistics Networks," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    5. Pinior, Beate & Conraths, Franz J. & Petersen, Brigitte & Selhorst, Thomas, 2015. "Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example," Omega, Elsevier, vol. 53(C), pages 41-48.
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