PurposeFood waste is one of the most challenging issues humanity is currently facing. Therefore, there has been a growing interest in the prevention of food waste because of world hunger, environmental impacts, resource scarcity and economic costs. The purpose of the study is to investigate the factors that influence food waste and the role of technology in tackling food waste in India and the Netherlands.Design/methodology/approachIn order to explore differences in food loss and waste further this study will examine a number of practices on both the production and the consumer side, in a developing country and a developed country with different culture/economic backgrounds: India and the Netherlands. The factors that influence food waste were examined with a preliminary qualitative study, which consists of semi-structured interviews, and quantitative research that comprises a survey. Semi-structured interviews were conducted in both India and the Netherlands, which consists of five interviews. The survey data was collected from 78 individuals from India and 115 individuals from the Netherlands.FindingsOne of the main findings of the research is food waste is divided into waste within agricultural production (i.e. food loss) and final household consumption (i.e. food waste). Different factors influence food loss in different stages in the supply chain. Some of these factors include wastage during processing, storage, transportation and at the market-place. New technologies can utilize food loss for new purposes, so food loss is reduced to the minimum. Food waste is mainly influenced by food passing expiry date, food that is left too long in the fridge and consumers buying too much food. In final household consumption, technologies such as digital platforms enable individuals or organizations to share and donate their food, thereby creating awareness on food waste prevention and the environmental and ethical benefits.Originality/valueThe authors examine to what extent and in which ways supporting consumers to minimize food waste can be achieved via three stages: (1) understanding and evaluating food loss and waste, (2) identifying the factors that influence food loss and waste, (3) understanding consumer behaviors to encourage food waste reduction and (4) identifying the technological impact that would reduce food waste. As such, this paper contributes to ongoing debates about food waste by looking at the role of context and culture and by exploring differences between developed and developing countries. Also, the authors advance the debate by exploring both the role of advanced technology such as blockchain and drones in both preventing loss and waste as well as non-technological mechanisms.
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This paper provides a management perspective of organisational factors that contributes to the reduction of food waste through the application of design science principles to explore causal relationships between food distribution (organisational) and consumption (societal) factors. Qualitative data were collected with an organisational perspective from commercial food consumers along with large-scale food importers, distributors, and retailers. Cause-effect models are built and “what-if” simulations are conducted through the development and application of a Fuzzy Cognitive Map (FCM) approaches to elucidate dynamic interrelationships. The simulation models developed provide a practical insight into existing and emergent food losses scenarios, suggesting the need for big data sets to allow for generalizable findings to be extrapolated from a more detailed quantitative exercise. This research offers itself as evidence to support policy makers in the development of policies that facilitate interventions to reduce food losses. It also contributes to the literature through sustaining, impacting and potentially improving levels of food security, underpinned by empirically constructed policy models that identify potential behavioural changes. It is the extension of these simulation models set against a backdrop of a proposed big data framework for food security, where this study sets avenues for future research for others to design and construct big data research in food supply chains. This research has therefore sought to provide policymakers with a means to evaluate new and existing policies, whilst also offering a practical basis through which food chains can be made more resilient through the consideration of management practices and policy decisions.
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Food Loss and Waste (FLW) leads to societal and economic burden and also has substantial environmental impact The United Nations formulated food waste reduction targets within SDG 12.3 with the aim to halve global food waste by 2030. In Europe, food waste is estimated at approximately 88 million tons per year, which Is responsible for a significant environmental impact of the food supply. The Netherlands wants to be the first country in Europe to reach the 50% food waste reduction goal. The lack of consistent tools for measuring and monitoring food loss and waste exacerbate the food waste problem. The goal of our research is to assess existing tools and models for food waste monitoring and reporting in the food production to consumption chain, in order to understand the impact monitoring has on decision making. A consistent suite of measurement and monitoring tools for different actors in the food supply system will enable the business owners and policy makers gain a better understanding of their waste streams and take actions to prevent and minimize food waste. In this paper we focus on monitoring tools for food waste aiming to reduce FLW by Small and Medium-sized Enterprises (SMEs). We investigate which features of a monitoring tool wouldfacilitate SMEs to start measuring FLW and to what extent these are covered by current tools. In our analysis we compare 15 tools and identify 108 different features. Besides an overview of these FLW monitoringsystems, our paper addresses important methodological problems in monitoring and delineating food waste, which aims contribute to new standardized methodologies for FW monitoring. In the end, this project should lead to a food production and supply system that monitors its own loss and drastically reduces its waste streams.
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Docentonderzoeker Rob van Diepenbeek was een van de sprekers op de Intelligent Food processing & packaging Virtual Summit, een online platform waar foodprofessionals kunnen netwerken, ideeën en kennis uitwisselen en van elkaar leren waar het gaat om toekomst van ons voedsel. Rob ging onder meer in op de nauwe samenwerking van HAS Hogeschool met Food Tech Brainport in Helmond, een belangrijke experimenteerruimte als het gaat om het terugdringen van voedselverspilling en bij- en reststromen te verwaarden door middel van milde conservering en milde scheidingstechnieken. Veelbelovende productapplicatie-kansen en energiebesparingen kwamen aan bod.
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Purpose: Food waste occurs in every stage of the supply chain, but the value-added lost to waste is the highest when consumers waste food. The purpose of this paper is to understand the food waste behaviour of consumers to support policies for minimising food waste. Design/methodology/approach: Using the theory of planned behaviour (TPB) as a theoretical lens, the authors design a questionnaire that incorporates contextual factors to explain food waste behaviour. The authors test two models: base (four constructs of TPB) and extended (four constructs of TPB plus six contextual factors). The authors build partial least squares structural equation models to test the hypotheses. Findings: The data confirm significant relationships between food waste and contextual factors such as motives, financial attitudes, planning routines, food surplus, social relationships and Ramadan. Research limitations/implications: The data comes from an agriculturally resource-constrained country: Qatar. Practical implications: Food waste originating from various causes means more food should flow through the supply chains to reach consumers’ homes. Contextual factors identified in this work increase the explanatory power of the base model by 75 per cent. Social implications: Changing eating habits during certain periods of the year and food surplus have a strong impact on food waste behaviour. Originality/value: A country is considered to be food secure if it can provide its citizens with stable access to sufficient, safe and nutritious food. The findings and conclusions inform and impact upon the development of food waste and food security policies.
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This study proposes a systematic value chain approach to helping businesses identify and eliminate inefficiencies. The authors have developed a robust framework, which food-sector entrepreneurs can use to increase profitability of an existing business or to create new profitable opportunities. The value chain approach provides win-win opportunities for players within the value chain. To test the robustness of the framework, the authors use food waste as an example of a critical inefficiency and apply it to two different food sector business cases, each operating in diverse conditions. Because the suggested framework addresses the core elements and parameters for the existence and competitiveness of a business, the model can be adapted to other sectors.
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This chapter proposes sustainable supply chains in agrifoods, achieved through logistical strategies to minimize food waste and losses. Proposals will recover organic and inorganic waste and reincorporate it into the supply chain or add it to new chains through new products generated from food waste. A literature review is presented regarding the causes of food losses and waste within the supply chain and the strategic opportunities in the logistical process to reduce such losses. The creation of models that include the three dimensions of sustainability in food logistics is required in order to achieve a reduction in waste and food losses in transport, as well as to minimize costs and environmental impacts. If a correct sustainable logistics is carried out, it would favor the reincorporation of waste into new supply chains.
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The focus of this paper is on the generation of food waste by small and micro restaurants, specifically on the perceptions of representatives of these restaurants. Do they perceive this generation of food waste as problematic, and do they perceive that they have enough knowledge about how to minimize this generated food waste? With data from a sample of 200 Dutch restaurants, which were collected through surveys and analyzed with regression analysis, we came to two key findings. The first key finding is that our respondents hardly perceive the food waste that is generated in their own restaurant as problematic. The second key finding is that they perceive they have limited knowledge about how to minimize the food waste that is generated in their own restaurant. The main influencing factor for both perceptions appeared to be the actual level of food waste generated in their own restaurant. This paper continues with a number of recommendations for future research, to apply other research techniques and to study other sectors as well. The paper ends with practical recommendations for the representatives of the small and micro restaurants, as the findings of this paper suggest a need for targeted educational and training programs to enhance food waste management in their restaurants, contributing to broader sustainability goals.
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The objective of this study was to generate groups of agri-food producers with high affinity in relation to their sustainable waste management practices. The aim of conforming these groups is the development of synergies, knowledge management, and policy- and decision-making by diverse stakeholders. A survey was conducted among the most experienced farmers in the region of Nuevo Urecho, Michoacán, Mexico, and a total of eight variables relating to sustainable waste management practices, agricultural food loss, and the waste generated at each stage of the production process were examined. The retrieved data were treated using the maximum inverse correspondence algorithm and the Galois Lattice was applied to generate clusters of highly affine producers. The results indicate 163 possible elements that generate the power set, and 31 maximum inverse correspondences were obtained. At this point, it is possible to determine the maximum number of relationships, called affinities. In general, all 15 considered farmers shared the measure of revaluation of food waste and 90% of the farmers shared affinity in measures related to ecological care and the proper management of waste. A practical implication of this study is the conformation of highly affine clusters for both policy and strategic decision-making.
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Societal actors across scales and geographies increasingly demand visual applications of systems thinking – the process of understanding and changing the reality of a system by considering its whole set of interdependencies – to address complex problems affecting food and agriculture. Yet, despite the wide offer of systems mapping tools, there is still little guidance for managers, policy-makers, civil society and changemakers in food and agriculture on how to choose, combine and use these tools on the basis of a sufficiently deep understanding of socio-ecological systems. Unfortunately, actors seeking to address complex problems with inadequate understandings of systems often have limited influence on the socio-ecological systems they inhabit, and sometimes even generate unintended negative consequences. Hence, we first review, discuss and exemplify seven key features of systems that should be – but rarely have been – incorporated in strategic decisions in the agri-food sector: interdependency, level-multiplicity, dynamism, path dependency, self-organization, non-linearity and complex causality. Second, on the basis of these features, we propose a collective process to systems mapping that grounds on the notion that the configuration of problems (i.e., how multiple issues entangle with each other) and the configuration of actors (i.e., how multiple actors relate to each other and share resources) represent two sides of the same coin. Third, we provide implications for societal actors - including decision-makers, trainers and facilitators - using systems mapping to trigger or accelerate systems change in five purposive ways: targeting multiple goals; generating ripple effects; mitigating unintended consequences; tackling systemic constraints, and collaborating with unconventional partners.
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