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Reducing Edible Food Waste in the UK Food Manufacturing Supply Chain Through Collaboration

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Sustainable Supply Chains: Strategies, Issues, and Models

Abstract

While a third of food produced is wasted at the pre-consumer stage in the UK food manufacturing supply chain (FMSC) and has had significant negative economic and environmental impacts, many challenges remain in how to reduce edible food waste. This chapter addresses the problem of whether and to what extent FMSC collaboration could lead to the reduction of edible food waste. Evidence in the literature suggests that despite an increasing attention having been paid to reduce edible food waste, there is a scarcity of studies that focus on the relationship between FMSC collaboration and the reduction of edible food waste. Consequently, the aim of this chapter is to develop a research model that explains the relationships among FMSC collaboration, collaborative effectiveness and the reduction of edible food waste. The model is underpinned by the relation view and has been empirically tested with 122 survey responses from food manufacturing firms, using structural equation modelling. The findings indicated that FMSC collaboration has a positive effect on collaborative effectiveness, which in turn results in the reduction of edible food waste during production, processing and storage. Thus, an important implication of this chapter is that the UK FMSC members would benefit from closely collaborating with their supply chain partners to achieve greater collaborative effectiveness and thereby reducing edible food waste.

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References

  • Ali, M. H., Tan, K. H., Makhbul, Z. M., & Ngah, A. H. (2016). Augmenting Halal food integrity through supply chain integration. Journal Pengurusan (UKM Journal of Management), 48.

    Google Scholar 

  • Ataseven, C., & Nair, A. (2017). Assessment of supply chain integration and performance relationships: A meta-analytic investigation of the literature. International Journal of Production Economics, 185, 252–265.

    Google Scholar 

  • Badea, A., Prostean, G., Hutanu, A., & Popa, S. (2015). Competency training in collaborative supply chain using KSA model. Procedia-Social and Behavioral Sciences, 191, 500–505.

    Google Scholar 

  • Banchuen, P., Sadler, I., & Shee, H. (2015). Supply chain collaboration aligns order-winning strategy with business outcomes. IIMB Management Review.

    Google Scholar 

  • Barratt, M. (2004). Understanding the meaning of collaboration in the supply chain. Supply Chain Management: An International Journal, 9(1), 30–42.

    Google Scholar 

  • Beretta, C., Stoessel, F., Baier, U., & Hellweg, S. (2013). Quantifying food losses and the potential for reduction in Switzerland. Waste Management, 33(3), 764–773.

    Google Scholar 

  • Betz, A., Buchli, J., Göbel, C., & Müller, C. (2015). Food waste in the Swiss food service industry—Magnitude and potential for reduction. Waste Management, 35, 218–226.

    Google Scholar 

  • Canali, M., Östergren, K., Amani, P., Aramyan, L., Sijtsema, S., Korhonen, O., & OConnor, C., et al. (2014). Drivers of current food waste generation, threats of future increase and opportunities for reduction.

    Google Scholar 

  • Cao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163–180.

    Google Scholar 

  • Cao, M., & Zhang, Q. (2012). Supply chain collaboration: Roles of interorganizational systems, trust, and collaborative culture, Springer Science & Business Media.

    Google Scholar 

  • Chabada, L., Dreyer, H. C., Romsdal, A., & Powell, D. J. (2012). Sustainable food supply chains: Towards a framework for waste identification. In Paper Presented at the IFIP International Conference on Advances in Production Management Systems.

    Google Scholar 

  • Chen, A. (2014). New research quantifies health benefits of reducing greenhouse gas emissions. http://newscenter.lbl.gov/2014/11/18/new-research-quantifies-health-benefits-of-reducing-greenhouse-gas-emissions/.

  • Chen, R.-Y. (2015). Autonomous tracing system for backward design in food supply chain. Food Control, 51, 70–84.

    Google Scholar 

  • Conte, A., Cappelletti, G., Nicoletti, G., Russo, C., & Del Nobile, M. (2015). Environmental implications of food loss probability in packaging design. Food Research International, 78, 11–17.

    Google Scholar 

  • Crook, T. R., Giunipero, L., Reus, T. H., Handfield, R., & Williams, S. K. (2008). Antecedents and outcomes of supply chain effectiveness: An exploratory investigation. Journal of Managerial Issues, 20(2), 161–177.

    Google Scholar 

  • Cui, L., Deng, J., Liu, F., Zhang, Y., & Xu, M. (2017). Investigation of RFID investment in a single retailer two-supplier supply chain with random demand to decrease inventory inaccuracy. Journal of Cleaner Production, 142, 2028–2044.

    Google Scholar 

  • Dani, S. (2015). Food supply chain management and logistics: From farm to fork, Kogan Page Publishers.

    Google Scholar 

  • Darlington, R., Staikos, T., & Rahimifard, S. (2009). Analytical methods for waste minimisation in the convenience food industry. Waste Management, 29(4), 1274–1281.

    Google Scholar 

  • DEFRA. (2015). Food statistics pocketbook 2015, Department for Environment, Food and Rural Affairs (DEFRA). https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/526395/foodpocketbook-2015update-26may16.pdf.

  • Dyer, J. H., & Singh, H. (1998). The relational view: Cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23(4), 660–679.

    Google Scholar 

  • Eksoz, C., Mansouri, S. A., & Bourlakis, M. (2014). Collaborative forecasting in the food supply chain: A conceptual framework. International Journal of Production Economics, 158, 120–135.

    Google Scholar 

  • FAO. (2013). FAO, 2013. Food wastage footprint: Impacts on natural resources. Rome: Food and Agriculture Organization of the United Nations.

    Google Scholar 

  • Gadde, L.-E., & Amani, P. (2016). Food supply in a network context: An alternative framing and managerial consequences in efforts to prevent food waste. British Food Journal, 118(6), 1407–1421.

    Google Scholar 

  • 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.

    Google Scholar 

  • Gokarn, S., & Kuthambalayan, T. S. (2017). Analysis of challenges inhibiting the reduction of waste in food supply chain. Journal of Cleaner Production, 168, 595–604.

    Google Scholar 

  • Grunow, M., & Piramuthu, S. (2013). RFID in highly perishable food supply chains—Remaining shelf life to supplant expiry date? International Journal of Production Economics, 146(2), 717–727.

    Google Scholar 

  • Hair, J. F., Hult, G., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM), Sage.

    Google Scholar 

  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial least squares structural equation modeling: rigorous applications, better results and higher acceptance. Long Range Planning, 46, 1–12.

    Google Scholar 

  • Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM), Sage Publications.

    Google Scholar 

  • Hudnurkar, M., Jakhar, S., & Rathod, U. (2014). Factors affecting collaboration in supply chain: A literature review. Procedia—Social and Behavioral Sciences, 133, 189–202.

    Google Scholar 

  • Jedermann, R., Nicometo, M., Uysal, I., & Lang, W. (2014). Reducing food losses by intelligent food logistics, The Royal Society.

    Google Scholar 

  • Kaipia, R., Dukovska-Popovska, I., & Loikkanen, L. (2013). Creating sustainable fresh food supply chains through waste reduction. International Journal of Physical Distribution & Logistics Management, 43(3), 262–276.

    Google Scholar 

  • Kim, K. K., O’Bryan, C. A., Crandall, P. G., Ricke, S. C., & Neal, J. A. (2013). Identifying baseline food safety training practices for retail delis using the Delphi expert consensus method. Food Control, 32(1), 55–62.

    Google Scholar 

  • Koufteros, X., Vonderembse, M., & Jayaram, J. (2005). Internal and external integration for product development: The contingency effects of uncertainty, equivocality, and platform strategy. Decision Sciences, 36(1), 97–133.

    Google Scholar 

  • Kouwenhoven, G., Nalla, V. R., & von Losoncz, T. L. (2012). Creating sustainable businesses by reducing food waste: A value chain framework for eliminating inefficiencies. International Food and Agribusiness Management Review, 15(3).

    Google Scholar 

  • Kumar, D., & Rahman, Z. (2015). Sustainability adoption through buyer supplier relationship across supply chain: A literature review and conceptual framework. International Strategic Management Review, 3(1), 110–127.

    Google Scholar 

  • Kumar, G., Banerjee, R., Meena, P., & Ganguly, K. K. (2017). Joint planning and problem solving roles in supply chain collaboration. IIMB Management Review.

    Google Scholar 

  • Kumar, G., & Banerjee, R. N. (2014). Supply chain collaboration index: An instrument to measure the depth of collaboration. Benchmarking: An International Journal, 21(2), 184–204.

    Google Scholar 

  • Kumar, G., & Nath Banerjee, R. (2012). Collaboration in supply chain: An assessment of hierarchical model using partial least squares (PLS). International Journal of Productivity and Performance Management, 61(8), 897–918.

    Google Scholar 

  • Lavie, D. (2006). The competitive advantage of interconnected firms: An extension of the resource-based view. Academy of Management Review, 31(3), 638–658.

    Google Scholar 

  • Lee, J., Palekar, U. S., & Qualls, W. (2011). Supply chain efficiency and security: Coordination for collaborative investment in technology. European Journal of Operational Research, 210(3), 568–578.

    MathSciNet  MATH  Google Scholar 

  • Liljestrand, K. (2017). Logistics solutions for reducing food waste. International Journal of Physical Distribution & Logistics Management, 47(4), 318–339.

    Google Scholar 

  • Lorite, G. S., Selkälä, T., Sipola, T., Palenzuela, J., Jubete, E., Viñuales, A., et al. (2017). Novel, smart and RFID assisted critical temperature indicator for supply chain monitoring. Journal of Food Engineering, 193, 20–28.

    Google Scholar 

  • Mahalik, N. P., & Nambiar, A. N. (2010). Trends in food packaging and manufacturing systems and technology. Trends in Food Science & Technology, 21(3), 117–128.

    Google Scholar 

  • Matopoulos, A., Vlachopoulou, M., Manthou, V., & Manos, B. (2007). A conceptual framework for supply chain collaboration: Empirical evidence from the agri-food industry. Supply Chain Management: An International Journal, 12(3), 177–186.

    Google Scholar 

  • Mena, C., Adenso-Diaz, B., & Yurt, O. (2011). The causes of food waste in the supplier–retailer interface: Evidences from the UK and Spain. Resources, Conservation and Recycling, 55(6), 648–658.

    Google Scholar 

  • Mena, C., Terry, L. A., Williams, A., & Ellram, L. (2014). Causes of waste across multi-tier supply networks: Cases in the UK food sector. International Journal of Production Economics, 152, 144–158.

    Google Scholar 

  • Mishra, A. A., & Shah, R. (2009). In union lies strength: Collaborative competence in new product development and its performance effects. Journal of Operations Management, 27(4), 324–338.

    Google Scholar 

  • Mithun Ali, S., Moktadir, M. A., Kabir, G., Chakma, J., Rumi, M. J. U., & Islam, M. T. (2019). Framework for evaluating risks in food supply chain: Implications in food wastage reduction. Journal of Cleaner Production, 228, 786–800.

    Google Scholar 

  • Morita, M., Machuca, J. A. D., Flynn, E. J., & Pérez de los Ríos, J. L. (2015). Aligning product characteristics and the supply chain process—A normative perspective. International Journal of Production Economics, 161, 228–241.

    Google Scholar 

  • Nash, T. A. (2010). RFID technology and its impact on the supply chain.

    Google Scholar 

  • Papargyropoulou, E., Lozano, R., K. Steinberger, J., Wright, N., & Ujang, Z. B. (2014). The food waste hierarchy as a framework for the management of food surplus and food waste. Journal of Cleaner Production, 76(0), 106–115.

    Google Scholar 

  • Parfitt, J., Barthel, M., & Macnaughton, S. (2010). Food waste within food supply chains: Quantification and potential for change to 2050. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1554), 3065–3081.

    Google Scholar 

  • Park, S.-H., Kwak, T.-K., & Chang, H.-J. (2010). Evaluation of the food safety training for food handlers in restaurant operations. Nutrition research and practice, 4(1), 58–68.

    Google Scholar 

  • Piboonrungroj, P. (2012). Supply chain collaboration: Impacts and mediation on firm performance, Cardiff University.

    Google Scholar 

  • Piramuthu, S. (2005). Knowledge-based framework for automated dynamic supply chain configuration. European Journal of Operational Research, 165(1), 219–230.

    MathSciNet  MATH  Google Scholar 

  • Quinn, F. J. (2012). Collaboration: Still a hot topic. Supply Chain Management Review, 16(5), 3(16), 5.

    Google Scholar 

  • Rajaguru, R., & Matanda, M. J. (2013). Effects of inter-organizational compatibility on supply chain capabilities: Exploring the mediating role of inter-organizational information systems (IOIS) integration. Industrial Marketing Management, 42(4), 620–632.

    Google Scholar 

  • Redlingshöfer, B., Coudurier, B., & Georget, M. (2017). Quantifying food loss during primary production and processing in France. Journal of Cleaner Production, 164, 703–714.

    Google Scholar 

  • Rhodes, C. (2015). Manufacturing: Statistics and policy—Parliament UK. http://researchbriefings.parliament.uk/ResearchBriefing/Summary/SN01942.

  • Sahin, E., Dallery, Y., & Gershwin, S. (2002). Performance evaluation of a traceability system. An application to the radio frequency identification technology. In 2002 IEEE International Conference on Paper presented at the Systems, Man and Cybernetics.

    Google Scholar 

  • Shinbaum, S., Crandall, P. G., & O’Bryan, C. A. (2016). Evaluating your obligations for employee training according to the food safety modernization act. Food Control, 60, 12–17.

    Google Scholar 

  • Singhry, H. B., Rahman, A. A., & Ng, S. I. (2015). Measurement for Supply chain collaboration and supply chain performance of manufacturing companies. International Journal of Economics & Management, 9.

    Google Scholar 

  • Soosay, C. A., & Hyland, P. (2015). A decade of supply chain collaboration and directions for future research. Supply Chain Management: An International Journal, 20(6), 613–630.

    Google Scholar 

  • Sridharan, R., & Simatupang, T. M. (2009). Managerial views of supply chain collaboration.

    Google Scholar 

  • Turkmen, H. (2013). Scientific review of the relational view theory and its contribution to critical sourcing decisionmaking, University of Twente.

    Google Scholar 

  • Unnevehr, L. J. (2000). Food safety issues and fresh food product exports from LDCs. Agricultural Economics, 23(3), 231–240.

    Google Scholar 

  • Vanderroost, M., Ragaert, P., Devlieghere, F., & De Meulenaer, B. (2014). Intelligent food packaging: The next generation. Trends in Food Science & Technology, 39(1), 47–62.

    Google Scholar 

  • Verghese, K., Lewis, H., Lockrey, S., & Williams, H. (2013). The role of packaging in minimising food waste in the supply chain of the future. CHEP Australia, 3, 50.

    Google Scholar 

  • Verghese, K., Lockrey, S., Rio, M., & Dwyer, M. (2018). DIRECT, a tool for change: Co-designing resource efficiency in the food supply chain. Journal of Cleaner Production, 172, 3299–3310.

    Google Scholar 

  • Wagner, S. M., & Kemmerling, R. (2010). Handling nonresponse in logistics research. Journal of Business Logistics, 31(2), 357–381.

    Google Scholar 

  • Watson, J. A., Wysocki, A. F., & Bucklin, R. A. (2015). The role and impact of technology on supply-chain management in the food industry. UF/IFAS Extension: Agricultural and Biological Engineering Department.

    Google Scholar 

  • Whitehead, D. P., Parfitt, D. J., Bojczuk, M. K., & James, K. (2013). Estimates of waste in the food and drink supply chain. http://www.wrap.org.uk/sites/files/wrap/Estimates%20of%20waste%20in%20the%20food%20and%20drink%20supply%20chain_0.pdf.

  • Wiengarten, F., Humphreys, P., Cao, G., Fynes, B., & McKittrick, A. (2010). Collaborative supply chain practices and performance: Exploring the key role of information quality. Supply Chain Management: An International Journal, 15(6), 463–473.

    Google Scholar 

  • WRAP. (2018). Food surplus and waste in the UK—Key facts. Retrieved 16 June, 2019, from http://www.wrap.org.uk/sites/files/wrap/Food%20Surplus%20and%20Waste%20in%20the%20UK%20Key%20Facts%2014%205%2019.pdf.

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Authors and Affiliations

  1. Ajman University, Ajman, UAE

    Guangming Cao

  2. University of Bedfordshire, Luton, UK

    Pramitkumar Shah

  3. Nottingham Trent University, Nottingham, UK

    Usha Ramanathan

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  1. Guangming Cao
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  2. Pramitkumar Shah
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Correspondence to Usha Ramanathan .

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Editors and Affiliations

  1. Nottingham Business School, Nottingham Trent University, Nottingham, UK

    Usha Ramanathan

  2. University of Bedfordshire Business School, Luton, UK

    Ramakrishnan Ramanathan

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Cao, G., Shah, P., Ramanathan, U. (2020). Reducing Edible Food Waste in the UK Food Manufacturing Supply Chain Through Collaboration. In: Ramanathan, U., Ramanathan, R. (eds) Sustainable Supply Chains: Strategies, Issues, and Models. Springer, Cham. https://doi.org/10.1007/978-3-030-48876-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-48876-5_10

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