The increased generation of food waste is a global and national problem. The purpose of the study is to investigate the factors that influence food waste and the role of technology in tackling food waste in the Netherlands. One of the main findings of the research is food waste is that consumer 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, digital platforms and applications enable individuals to share and donate their food, thereby creating awareness on food waste prevention and the environmental benefits.
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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 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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