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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By transitioning from a fossil-based economy to a circular and bio-based economy, the industry has an opportunity to reduce its overall CO2 emission. Necessary conditions for effective and significant reductions of CO2-emissions are that effective processing routes are developed that make the available carbon in the renewable sources accessible at an acceptable price and in process chains that produce valuable products that may replace fossil based products. To match the growing industrial carbon demand with sufficient carbon sources, all available circular, and renewable feedstock sources must be considered. A major challenge for greening chemistry is to find suitable sustainable carbon that is not fossil (petroleum, natural gas, coal), but also does not compete with the food or feed demand. Therefore, in this proposal, we omit the use of first generation substrates such as sugary crops (sugar beets), or starch-containing biomasses (maize, cereals).
In the Netherlands, the Agri-Food and Water Top Sectors aim at climate neutral food systems that close loops in the food value chains from farm to fork, based on efficiency of natural resource management, optimum use of food, a reduced use of natural resources and less environmental pressure, and optimum use of residue streams. It is also in their ambitions to promote and market Dutch circular solutions in foreign countries, such as emergent economies. The transition to a circular economy in the food chain in emergent economies requires a radical transformation, in which an integrated approach is required. In this regard, Indonesia strives for green development representing an advantageous market opportunity for Dutch SME’s offering circular innovations on the food value chain. The consortium in this project would like to explore the opportunities for applying integrated approaches contributing to the transition to a circular economy in the food chain of emerging countries, in this case Indonesia, that could open market opportunities in the agri-food sector. The integrated approach includes innovations on effective use of natural resources (e.g., soil and water), innovations on ‘reshaping’ local organization and governance, and innovations on food/streams value chains.
The consortium would like to contribute to structural reduction of post-harvest and food losses and food quality improvement in Kenyan avocado and dairy value chains via the application of technical solutions and tools as well as improved chain governance competences in those food chains. The consortium has four types of partners: 1. Universities (2 Kenyan, 4 Dutch), 2. Private sector actors in those chains, 3. Organisations supporting those chains, and 4. Associate partners which support category 1 to 3 partners through co-financing, advice and reflection. The FORQLAB project targets two areas in Kenya for both commodities, a relatively well-developed chain in the central highlands and a less-develop chain in Western-Kenya. The approach is business to business and the selected regions have great potential for uptake of successful chain innovations as outcome of research results. The results are scalable for other fresh and processed product chains via a living lab network approach. The project consists of 5 work packages (WPs): 1. Inventory , status quo and inception, 2. Applied research, 3. Dissemination of research outputs through living lab networks, 4. Translation of project output in curricula and trainings, and 5. Communication among partners and WPs. The applied research will be implemented in cooperation with all partners, whereby students of the consortium universities will conduct most of the field studies and all other partners support and interact depending on the WPs. The expected outcomes are: two knowledge exchange platforms (Living Labs) supported with hands on sustainable food waste reduction implementation plans (agenda strategy); overview and proposals for ready ICT and other tech solutions; communication and teaching materials for universities and TVETs; action perspectives; and knowledge transfer and uptake.
