Resources Management for a Resilient World: A Literature Review of Eastern European Countries with Focus on Household Behaviour and Trends Related to Food Waste

Food Appreciation Scale Development and Dimensionality Assessment

Food appreciation has been associated with favorable dietary and food waste behaviors. However, no validated food appreciation assessment currently exists. This study aimed to develop and validate a food appreciation scale (FAS) using data from two independent US-based samples recruited online. The 29-item FAS was based on existing literature regarding appreciation as a psychological construct, mindful eating, and epicurean tendencies. In Study 1, 311 participants completed the FAS, and exploratory factor analysis (EFA) was conducted. In Study 2, 300 participants completed the FAS, and confirmatory factor analysis (CFA) was conducted to determine whether the factor structure remained consistent. The EFA indicated a good model fit for a four-factor structure after excluding six items that loaded on multiple or no factors (TLI 0.95, CFI 0.97, SRMR 0.03, RMSEA 0.05), and Cronbach's alpha indicated excellent reliability (Cronbach's alpha values 0.82-0.9). The CFA confirmed the four-factor structure (TLI 0.97, CFI 0.98, SRMR 0.08, RMSEA 0.05) and acceptable factor loadings with a simple structure. The factors assessed active food appreciation, reflective food appreciation, mindful epicurean tendencies, and food-related rituals. The validated FAS could allow researchers to assess food appreciation, measure changes in food appreciation over time, and compare food appreciation among different study populations.

Consequences of Recent Crises on the FLW Consumer Behaviour: A National Wide Representative Research-The Case of Romania

Research on food loss and waste (FLW) is quite limited in emerging countries, such as Romania, as the phenomenon, its consequences, and implications are not yet properly understood by both policy makers and consumers. Therefore, the aim of this paper is to conduct representative research in Romania to identify the main clusters of consumers depending on their food waste behaviour. By means of cluster analysis, we highlight the main consumer typologies in Romania, regarding their food waste behaviour. The main findings reveal the presence of three distinct segments of consumer typologies based on their food waste behaviour, including low-income young wasters, conscious middle-age wasters, and well-educated mature non-wasters. This study highlights the need for targeted interventions that consider the unique characteristics and behaviours of each segment to effectively reduce FLW at the household level. Overall, this paper provides important insights for academia and for policymakers in the field of FLW management. The food loss and waste behaviour has significant economic, social, and environmental impacts, and reducing it requires a common effort from all stakeholders. Reducing food waste presents challenges, but also presents an opportunity to improve economic, social, and environmental outcomes.

Determinants of Food Waste in Cluj-Napoca (Romania): A Community-Based System Dynamics Approach

This study identifies the most relevant causes of food waste according to the perceptions of key stakeholders in Cluj-Napoca, Romania. Community-Based System Dynamics (CBSD), a qualitative approach, was used to reveal the determinants of food waste. CBSD was intended to encourage the system thinking of participants in the field of food waste. Consequently, CBSD helped us map and visualize the role of each identified cause in the system and the nature of their interactions. For the present study, four categories of stakeholders were involved: consumers, public administration, food waste business, and the NGO sector involved in food waste reduction. The result of each modeling session was a loop diagram of the main food waste determinants. A common perception reflected within each stakeholder group was that food waste could be minimized through upstream actions. The participants highlighted pro-environmental knowledge, awareness, and values as the prerequisites for fighting food waste. It was found that the lack of education and awareness of food waste directly impacted food waste generation. In addition, the role of education was underlined by participants as a contributor to changing individual and household practices, such as overbuying. The lack of connection between consumers and the food production process, coupled with consumerist practices and the rejection of 'ugly food', contributed to the decrease in the overall value people attributed to food. Governmental intervention, through legislation, was indicated by the CBSD participants as being key to increasing societal awareness and shaping the behavior of food chain actors. We concluded that food waste is a 'wicked problem' and the interlocking of the economic, social, political, and environmental spheres and the multitude of stakeholders' interests, values, and perceptions should be considered in designing sustainable solutions to combat food waste. Finally, this research testifies to the importance of engaging with diverse panels of stakeholders who, through the multitude of opinions and perspectives on the causes of food waste, can further create knowledge about the most appropriate ways to combat the food waste phenomenon.

Integration of Privacy Protection and Blockchain-Based Food Safety Traceability: Potential and Challenges

Concern about food safety has become a hot topic, and numerous researchers have come up with various effective solutions. To ensure the safety of food and avoid financial loss, it is important to improve the safety of food information in addition to the quality of food. Additionally, protecting the privacy and security of food can increase food harvests from a technological perspective, reduce industrial pollution, mitigate environmental impacts, and obtain healthier and safer food. Therefore, food traceability is one of the most effective methods available. Collecting and analyzing key information on food traceability, as well as related technology needs, can improve the efficiency of the traceability chain and provide important insights for managers. Technology solutions, such as the Internet of Things (IoT), Artificial Intelligence (AI), Privacy Preservation (PP), and Blockchain (BC), are proposed for food monitoring, traceability, and analysis of collected data, as well as intelligent decision-making, to support the selection of the best solution. However, research on the integration of these technologies is still lacking, especially in the integration of PP with food traceability. To this end, the study provides a systematic review of the use of PP technology in food traceability and identifies the security needs at each stage of food traceability in terms of data flow and technology. Then, the work related to food safety traceability is fully discussed, particularly with regard to the benefits of PP integration. Finally, current developments in the limitations of food traceability are discussed, and some possible suggestions for the adoption of integrated technologies are made.