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Food waste is a severe problem affecting the supply chain due to its significant adverse social and environmental effects. Even if the topic is hotly debated in the literature, there is a lack of research about the success factors influencing food waste prevention initiatives retailers undertake.

The research analyzes how several variables (i.e. product-related variables and technology-enabling variables) might impact the success of the sales of products close to the expiration date that is sold at a discounted price. Data from 390.000 products sold at a discounted price in 2020 and 2021 by a large Italian food retailer were examined with a regression analysis.

The results highlight that both product-related and technology-enabling variables influence the success of food prevention initiatives aimed at selling products close to the expiration date at a discounted price. In particular, the authors stress the importance of digital technologies in supporting food waste prevention initiatives.

The study offers several practical implications for managers in structuring a waste prevention initiative. The introduction of digital technologies, the monitoring of specific variables or the ability to find synergies with other food waste prevention initiatives are discussed to support retailers in reducing food losses.

The paper is focused on the retailer perspective, which is barely investigated due to the difficulty in finding data.

Regarding the retail internal supply chain (SC), both retailers and research are currently focused on reactive food waste reduction options in stores (e.g. discounting or donations). These options reduce waste after a surplus has emerged but do not prevent an emerging surplus in the first place. This paper aims to reveal how retailers can proactively prevent waste along the SC and why the options identified are impactful but, at the same time, often complex to implement.

The authors follow an exploratory approach for a nascent topic to obtain insights into measures taken in practice. Interviews with experts from retail build the main data source.

The authors identify and analyze 21 inbound, warehousing, distribution and store-related options applied in grocery retail. Despite the expected high overall impact on waste, prevention measures in inbound logistics and distribution and warehousing have not been intensively applied to date.

The authors provide a structured approach to mitigate waste within retailers' operations and categorize the types of barriers that need to be addressed.

This research provides a better understanding of prevention options in retail operations, which has not yet been empirically explored. Furthermore, this study conceptualizes prevention and reduction options and reveals implementation patterns.

Food waste behavior in the workplace or work-related gatherings has been less researched compared to that in household context. This study aims to bridge this gap through unfolding how and when quality of food waste prevention communication mitigates food waste behavior among frontline employees in the hospitality workplace.

Participants in this research comprised employees from four- and five-star hotels operating in Vietnam.

The results lent credence to the dual mediation channels of moral attitudes toward food wasting and meaningfulness of food waste reduction for the impact of quality of food waste prevention communication on employees’ food waste reduction intention and their reduced food waste behavior. The contingency role of employees’ green role identity was marginally confirmed for the nexus between employees’ food waste reduction intention and their food waste behavior.

This inquiry advances the understanding of mechanisms underlying work-related food waste behavior among hospitality employees.

The purpose of this paper is to examine the effect of regulatory focus on Chinese consumers’ intention to consume ethnic food, the mediating role of food neophobia and the moderating role of message framing with regard to regulatory focus and ethnic food consumption.

Lab experiments method was used in this paper, two studies were designed to test the relationship between regulatory focus, food neophobia, message framing and intention to eat ethnic food. Study 1 was to test the influence of regulatory focus on intention to eat ethnic food, and the mediation role of food neophobia. Study 2 was to test the moderation role of message framing.

Results indicated that consumers with promotion focus have higher intention to eat ethnic food than consumers with prevention focus. Prevention-focus consumers have higher food neophobia, which leads to lower intention to eat ethnic food. Food neophobia plays the mediating role in the relationship between regulatory focus and intention to eat ethnic food. Regulatory fit can increase consumers’ intention to eat ethnic food. Promotion-focus consumers show higher eating intention in gain-framing situation, while prevention-focus consumers show higher eating intention in loss-framing situation.

The study was undertaken in China. Further studies should include respondents living in countries other than China.

This research provides a venue for marketers of destination tourism, especially for ethnic food marketers to introduce and advertise ethnic foods to tourists. Regulatory fit is important for destination tourism. To improve consumers’ eating intention, this research suggests that ethnic food marketers should pay attention to regulatory focus of consumers from different regions and cultural background, and design corresponding message framing for consumers with different regulatory focus to form regulatory fit.

First, this study has proposed and tested regulatory focus’ effect on intention to consumer ethnic food. Food neophobia is used to explain the mechanism of relation between regulatory focus and intention to eat ethnic food. Also, message framing is introduced to define the boundary of relation between regulatory focus and intention to eat ethnic food.

This research aims to investigate consumers' food waste prevention behaviour through the lens of an extended theory of planned behaviour. The extension includes the examination of the role of social media usage in affecting consumers' decision-making process of food waste prevention behaviour.

A survey questionnaire is developed based on measurement items of previously validated studies. 210 samples are collected and analysed using partial least squares structural equation modelling (PLS-SEM).

The results show that social media usage has a significant influence on attitude and injunctive norms. In addition, intention can be predicted by injunctive norms, moral norms and perceived behavioural control but not attitude. Lastly, the intention to reduce food waste is a significant predictor of food waste prevention behaviour.

Overall, the extended theory of planned behaviour is useful in explaining consumers' food waste prevention behaviour. Interestingly, this study reveals that a negative attitude towards food waste behaviour does not translate into the intention to engage in food waste prevention behaviour. Furthermore, it is found that social media usage plays a significant in shaping consumers' attitudes towards food waste and injunctive norms.

Food fraud as intentional deception for economic gain relies on a low-tech food value chain, that applies a ‘paper-and-pencil approach’, unable to provide reliable and trusted data about food products, accompanied processes/activities and actors involved. Such approach has created the information asymmetry that leads to erosion of stakeholders and consumers trust, which in turn discourages cooperation within the food chain by damaging its ability to decrease uncertainty and capability to provide authentic, nutritional, accessible and affordable food for all. Lack of holistic approach, focus on stand-alone measures, lack of proactive measures and undermined role of customers have been major factors behind weaknesses of current anti-fraud measures system. Thus, the process of strong and fast digitalisation enabled by the new emerging technology called Industry 4.0 is a way to provide a shift from food fraud detection to efficient prevention. Therefore, the objective of this chapter is to shed light on current challenges and opportunities associated with Industry 4.0 technology enablers' guardian role in food fraud prevention with the hope to inform future researchers, experts and decision-makers about opportunities opened up by transforming to new cyber-physical-social ecosystem, or better to say ‘self-thinking’ food value chain whose foundations are already under development. The systematic literature network analysis is applied to fulfil the stated objective. Digitalisation and Industry 4.0 can be used to develop a system that is cost effective and ensures data integrity and prevents tampering and single point failure through offering fault tolerance, immutability, trust, transparency and full traceability of the stored transaction records to all agri-food value chain partners. In addition, such approach lays a foundation for adopting new business models, strengthening food chain resilience, sustainability and innovation capacity.

Despite increased resources devoted to food‐poisoning prevention, reported incidence of food poisoning continues to rise. Improvements in prevention strategies might therefore be necessary and there may also be opportunities for reducing the burden of regulatory control. Suggests that, of the two components of prevention, surveillance and control, control activities are returned to the private sector, allowing public sector agencies to concentrate on surveillance, the precursor to effective control. The Offices, Shops and Railways Premises Act, Hoists and Lifts Regulations model is offered as a means of devolving regulatory control.

This paper aims to address the food waste phenomenon by investigating the relationship between healthy lifestyle and food waste intensity and by considering the mediating role of food waste preventing behavior on such a relationship.

Based on an online survey of 1,941 UK millennial consumers, the research hypotheses were tested using the PLS-PM approach to structural equation model.

The results reveal that both the consumption of healthy food and the habit of eating at home enhance food waste reduction. Moreover, the findings corroborate the mediating effect of the food waste preventing behavior on the relationship between a healthy lifestyle and food waste intensity, thus underlying its role as an effective mechanism able to improve the influence of healthy lifestyle dimensions on food waste intensity.

The paper offers three levels of practical implications directed to public institutions, private manufacturers and retailers.

The study underlines the key relevance of ad hoc educational programs aimed at improving the overall awareness of young consumers about food waste damages, by specifically identifying the main features on which these programs should focus.

This paper adds knowledge by helping to explain how and why a healthier lifestyle could translate into food waste reduction. Moreover, the study offers a comprehensive understanding of preventing behavior by proposing a rich overview of strategies to adopt to avoid food waste.

Food 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.

In 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.

One 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.

The 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.

The purpose of this paper is twofold. First, it aims at reconciling the literature on creating shared value (CSV) with the one on cluster development, searching for complementarities and similarities. Second, it aims at understanding the role of cluster development in CSV. For these reasons, the authors operationalized the general idea of cluster development with the widely accepted concept of cluster initiatives, i.e. systematic efforts aimed at cluster development. The authors focused on exploring the process of launching and supporting local cluster initiatives through empirical evidence. In particular, the authors aimed at analyzing how a CSV strategy can be defined and developed when adopted within a cluster initiative.

The research draws on a critical review of the literature focusing on CSV and on a conceptual reconciliation between the literature on the CSV ecosystem with the one on clusters, and more specifically on those initial cluster initiatives. The authors relied on an exploratory case study of an Italian cluster initiative in CSV, i.e. the Science and Innovation Food District (SIFooD) cluster promoted by Whirlpool. Thanks to the richness and great availability of information about the case, this study primarily relied on the use of secondary data.

The case of SIFooD has highlighted how Whirlpool promoted the cluster initiative within its CSV framework to achieve sustainable and collaborative innovation in food waste prevention and, conversely, how SIFooD enhanced CSV of its cluster members. To arrange its network development process, SIFooD has implemented all the elements that prior literature has considered fundamental for launching and supporting a successful cluster initiative. On the other hand, SIFooD was able to adopt a collective-impact approach, implementing the five elements needed in its ecosystem to create shared value. Moreover, thanks to all the activities comprised in the SIFooD cluster initiative, shared value was actually created.

The present paper has some limitations. First of all, the empirical analysis focuses only on one cluster initiative; thus, cross/comparative analyses with other cluster initiatives may illuminate the findings better. Second, the authors relied on a very recent cluster initiative in a particular field (food waste prevention) and in one specific institutional context (Italy); thus, data may suffer from temporal, industrial and geographical biases.

Literature on the border between CSV and clusters is still in its infancy and almost nothing is known about their relationship, despite them being intimately related since the inception of this field. The paper qualifies for a very first attempt to understand how firms promote clusters, through cluster initiatives, for the sake of CSV and how clusters may enhance CSV of firms.