Abstract
Waste in fast-moving consumer goods (FMCGs) is a tremendous economic and ethical issue for retailers and the rest of society. Due to methodological weaknesses, previous studies are inadequate in prioritizing fundamental causes and drivers of retail food waste (RFW) in this context. This research explores the peculiar causes and drivers of RFW concerning different perishable FMCG categories. This research employs the fuzzy level–based weight assessment (F-LBWA) methodology to provide a robust and effective decision-making tool to retailers responsible for preventing waste in their stores. This research categorizes the causes and drivers into different product categories giving insight into the reasons and drivers that need more attention than others for each product category. The findings reveal that inappropriate buying/delivery is the most significant cause of waste for fruit and vegetables, dairy products, fresh meat, fish and seafood, and baked products, whereas improper storage is the most critical cause of waste for frozen food. The present work ensures practical implications for developing product category-specific waste management policies to improve retailers’ efficiency, competitiveness, and profitability. For a developing country like Turkey, the applicable insights of this research can also serve all supply chain members and policymakers to prevent food waste through partnership.
Similar content being viewed by others
Data availability
All data generated or analyzed during this study are included in this published article.
References
Aiello G, Enea M, Muriana C (2015) Alternatives to the traditional waste management: food recovery for human non-profit organizations. Int J Oper Quant Manag 21(3):215–239
Aytekin A, Görçün ÖF, Ecer F, Pamucar D, Karamaşa Ç (2022) Foreign market selection of suppliers through a novel REF-Sort technique. Kybernetes. https://doi.org/10.1108/K-03-2022-0459
Balaji M, Arshinder K (2016) Modeling the causes of food wastage in Indian perishable food supply chain. Resour Conserv Recycl 114:153–167
Bhattacharya A, Nand A, Prajogo D (2021) Taxonomy of antecedents of food waste–a literature review. J Clean Prod 291(2021):125910
Biswas S, Pamucar D (2020) Facility location selection for b-schools in Indian context: a multi-criteria group decision based analysis. Axioms 9(3):77
Božanić D, Jurišić D, Erkić D (2020a) LBWA–Z-MAIRCA model supporting decision making in the army. Oper Res Eng Sci Theory Appl 3(2):87–110
Božanić D, Ranđelović A, Radovanović M, Tešić D (2020b) A hybrid LBWA-IR-MAIRCA multi-criteria decision-making model for determination of constructive elements of weapons. FU Mech Eng 18(3):399–418
Brancoli P, Rousta K, Bolton K (2017) Life cycle assessment of supermarket food waste. Resour Conserv Recycl 118:39–46
Buzby JC, Hyman J (2012) Total and per capita value of food loss in the United States. Food Policy 37(5):561–570
Buzby JC, Bentley JT, Padera B, Ammon C, Campuzano J (2015) Estimated fresh produce shrink and food loss in US supermarkets. Agriculture 5(3):626–648
Canali M, Amani P, Aramyan L, Gheoldus M, Moates G, Östergren K, ... & Vittuari M (2017) Food waste drivers in Europe, from identification to possible interventions. Sustainability 9(1), 37
Che Y, Zhang X (2022) A novel multi-criteria decision-making framework for selecting municipal solid waste management alternative with 2-dimensional uncertain linguistic sets. Environ Sci Pollut Res 29:68582–68599. https://doi.org/10.1007/s11356-022-20494-6
Chen SH, Hsieh CH (2000) Representation, ranking, distance, and similarity of LR type fuzzy number and application. Aust J Intell Process Syst 6(4):217–229
Cicatiello C, Franco S (2020) Disclosure and assessment of unrecorded food waste at retail stores. J Retail Consum Serv 52:101932
Cicatiello C, Franco S, Pancino B, Blasi E (2016) The value of food waste: an exploratory study on retailing. J Retail Consum Serv 30:96–104
Cicatiello C, Franco S, Pancino B, Blasi E, Falasconi L (2017) The dark side of retail food waste: evidences from in-store data. Resour Conserv Recycl 125:273–281
de Moraes CC, de Oliveira Costa FH, Pereira CR, da Silva AL, Delai I (2020) Retail food waste: mapping causes and reduction practices. J Clean Prod 256:120124
Derqui B, Fayos T, Fernandez V (2016) Towards a more sustainable food supply chain: opening up invisible waste in food service. Sustainability 8(7):693
Deveci M, Özcan E, John R, Covrig CF, Pamucar D (2020) A study on offshore wind farm siting criteria using a novel interval-valued fuzzy-rough based Delphi method. J Environ Manage 270:110916
Ecer F (2020) Multi-criteria decision making for green supplier selection using interval type-2 fuzzy AHP: a case study of a home appliance manufacturer. Oper Res Int Journal 22:199–233
Ecer F (2021) Sustainability assessment of existing onshore wind plants in the context of triple bottom line: a best-worst method (BWM) based MCDM framework. Environ Sci Pollut Res 28(16):19677–19693
Ecer F, Torkayesh AE (2022) A stratified fuzzy decision-making approach for sustainable circular supplier selection. IEEE Trans Eng Manage. https://doi.org/10.1109/TEM.2022.3151491
Ecer F, Pamucar D, Mardani A, Alrasheedi M (2021) Assessment of renewable energy resources using new interval rough number extension of the level based weight assessment and combinative distance-based assessment. Renewable Energy 170:1156–1177
Eičaitė O, Baležentis T, Ribašauskienė E, Morkūnas M, Melnikienė R, Štreimikienė D (2022) Food waste in the retail sector: a survey-based evidence from Central and Eastern Europe. J Retail Consum Serv 69:103116
Eriksson M, Strid I, Hansson PA (2012) Food losses in six Swedish retail stores: wastage of fruit and vegetables in relation to quantities delivered. Resour Conserv Recycl 68:14–20
Eriksson M, Ghosh R, Mattsson L, Ismatov A (2017) Take-back agreements in the perspective of food waste generation at the supplier-retailer interface. Resour Conserv Recycl 122:83–93
FAO - Food and Agricultural Organization. (2014). Definitional framework of food loss. Retrieved from www.fao.org/3/aat144e.pdf. Accessed 21 Jan 2022
Filimonau V, Gherbin A (2017) An exploratory study of food waste management practices in the UK grocery retail sector. J Clean Prod 167:1184–1194
Gardas BB, Raut RD, Narkhede B (2017) Modeling causal factors of post-harvesting losses in vegetable and fruit supply chain: An Indian perspective. Renew Sustain Energy Rev 80:1355–1371
Göbel C, Langen N, Blumenthal A, Teitscheid P, Ritter G (2015) Cutting food waste through cooperation along the food supply chain. Sustainability 7(2):1429–1445
Godfray HCJ, Crute IR, Haddad L, Lawrence D, Muir JF, Nisbett N, ... Whiteley R (2010) The future of the global food system. Phil Trans R Soc B Biol Sci 365, 2769–2777
Gustavsson J, Cederberg C, Sonesson U, Van Otterdijk R, Meybeck A (2011) Global food losses and food waste: extent, causes and prevention. Retrieved from Food and Agriculture Organization of the United Nations, Rome. http://www.fao.org/docrep/014/mb060e/mb060e.pdf. Accessed 21 Jan 2022
Halloran A, Clement J, Kornum N, Bucatariu C, Magid J (2014) Addressing food waste reduction in Denmark. Food Policy 49:294–301
Hermsdorf D, Rombach M, Bitsch V (2017) Food waste reduction practices in German food retail. Br Food J 119(12):2532–2546
Johnston WJ, Lewin JE (1996) Organizational buying behavior: toward an integrative framework. J Bus Res 35(1):1–15
Jokić Ž, Božanić D, Pamučar D (2021) Selection of fire position of mortar units using LBWA and Fuzzy MABAC model. Oper Res Eng Sci Theory Appl 4(1):115–135
Korucuk S, Aytekin A, Ecer F, Pamucar DSS, Karamaşa Ç (2022) Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA–CoCoSo framework. Manag Decis. https://doi.org/10.1108/MD-12-2021-1621
Lukic R, Kljenak DV, Jovancevic D (2014) Retail food waste management. Manag Res Pract 6(4):23–39
Mena C, Adenso-Diaz B, Yurt O (2011) The causes of food waste in the supplier–retailer interface: evidences from the UK and Spain. Resour Conserv Recycl 55(6):648–658
Mena C, Terry LA, Williams A, Ellram L (2014) Causes of waste across multi-tier supply networks: cases in the UK food sector. Int J Prod Econ 152:144–158
Pamucar D, Deveci M, Canıtez F, Lukovac V (2020) Selecting an airport ground access mode using novel fuzzy LBWA-WASPAS-H decision making model. Eng Appl Artif Intell 93:103703
Papargyropoulou E, Lozano R, Steinberger JK, Wright N, bin Ujang Z (2014) The food waste hierarchy as a framework for the management of food surplus and food waste. J Clean Prod 76:106–115
Papargyropoulou E, Wright N, Lozano R, Steinberger J, Padfield R, Ujang Z (2016) Conceptual framework for the study of food waste generation and prevention in the hospitality sector. Waste Manage 49:326–336
Raak N, Symmank C, Zahn S, Aschemann-Witzel J, Rohm H (2017) Processing-and product-related causes for food waste and implications for the food supply chain. Waste Manage 61:461–472
Richter B, Bokelmann W (2016) Approaches of the German food industry for addressing the issue of food losses. Waste Manage 48:423–429
Riesenegger L, Hübner A (2022) Reducing food waste at retail stores—an explorative study. Sustainability 14(5):2494
Smith K, Lawrence G, MacMahon A, Muller J, Brady M (2016) The resilience of long and short food chains: a case study of flooding in Queensland, Australia. Agric Human Values 33(1):45–60
Tanrıverdi G, Ecer F, Durak MŞ (2022) Exploring factors affecting airport selection during the COVID-19 pandemic from air cargo carriers’ perspective through the triangular fuzzy Dombi-Bonferroni BWM methodology. J Air Transp Manag 105:102302
Teller C, Holweg C, Reiner G, Kotzab H (2018) Retail store operations and food waste. J Clean Prod 185:981–997
Thyberg KL, Tonjes DJ (2016) Drivers of food waste and their implications for sustainable policy development. Resour Conserv Recycl 106:110–123
Tirkolaee EB, Torkayesh AE (2022) A cluster-based stratified hybrid decision support model under uncertainty: sustainable healthcare landfill location selection. Appl Intell 52:13614–13633 . https://doi.org/10.1007/s10489-022-03335-4
Torkayesh AE, Torkayesh SE (2021) Evaluation of information and communication technology development in G7 countries: an integrated MCDM approach. Technol Soc 66:101670
Torkayesh AE, Pamucar D, Ecer F, Chatterjee P (2021a) An integrated BWM-LBWA-CoCoSo framework for evaluation of healthcare sectors in Eastern Europe. Socioecon Plann Sci 78:101052
Torkayesh AE, Zolfani SH, Kahvand M, Khazaelpour P (2021b) Landfill location selection for healthcare waste of urban areas using hybrid BWM-grey MARCOS model based on GIS. Sustain Cities Soc 67:102712
Torkayesh AE, Rajaeifar MA, Rostom M, Malmir B, Yazdani M, Suh S, Heidrich O (2022) Integrating life cycle assessment and multi criteria decision making for sustainable waste management: key issues and recommendations for future studies. Renew Sustain Energy Rev 168:112819
UN Turkey - United Nations Turkey (2021) New collaboration addresses food waste in the food and hospitality sector in Turkey. Retrieved from https://www.turkey.un.org/en/114697-new-collaboration-addresses-food-waste-food-and-hospitality-sector-turkey. Accessed 21 Jan 2022
UNEP- United Nations Environment Programme (UNEP) (2021) Food waste index report 2021. Retrieved from https://www.unep.org/resources/report/unep-food-waste-index-report-2021. Accessed 21 Jan 2022
UNSDG - United Nations’ Sustainable Development Goals (2019) Sustainable development goal 12. Sustainable development: UNSDG. Retrieved from https://sdgs.un.org/goals/goal12. Accessed 21 Jan 2022
Verghese K, Lewis H, Lockrey S, Williams H (2015) Packaging’s role in minimizing food loss and waste across the supply chain. Packag Technol Sci 28(7):603–620
Yaran Ögel İ, Aygün Özgöz A, Ecer F (2022) Prioritizing causes and drivers of retail food waste through a fuzzy Dombi-Bonferroni operators-based best–worst approach: an emerging economy perspective. Environ Sci Pollut Res 1-18. https://doi.org/10.1007/s11356-022-22553-4
Zakeri S, Ecer F, Konstantas D, Cheikhrouhou N (2021) The vital-immaterial-mediocre multi-criteria decision-making method. Kybernetes. https://doi.org/10.1108/K-05-2021-0403
Žižović M, Pamucar D (2019) New model for determining criteria weights: level based weight assessment (LBWA) model. Dec Making Appl Manag Eng 2(2):126–137
Acknowledgements
We appreciate the Editor’s efforts and the anonymous reviewers who provided valuable comments and suggestions on our research.
Author information
Authors and Affiliations
Contributions
IYO: conceptualization, methodology, writing—review and editing, visualization. FE: formal analysis, validation, writing—original draft preparation, project administration, supervision. AAO: data curation, formal analysis, writing—review and editing, investigation. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Ögel, İ.Y., Ecer, F. & Özgöz, A.A. Identifying the leading retailer-based food waste causes in different perishable fast-moving consumer goods’ categories: application of the F-LBWA methodology. Environ Sci Pollut Res 30, 32656–32672 (2023). https://doi.org/10.1007/s11356-022-24500-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-022-24500-9