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This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.

This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.

The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.

The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.

The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.

The main purpose of this paper was to evaluate the validation process of food safety control measures.

The validation of control measures has been analyzed at 50 food companies in Serbia. The sample included companies that produce food of both plant and animal origin and have certified food safety management systems. A total of 156 control measures that combat physical hazards (41.6%), followed by microbial hazards (34.0%) and chemical hazards (24.4%), have been analyzed. To enable quantification of the validation protocols, each control measure was assigned a score.

The validation scores showed that the highest level of validation was observed in large companies, as opposed to small and medium-sized companies (p < 0.05). The type of food safety hazards and the food sector did not reveal any statistical differences in-between the scores. The main approach to validating control measures was referring to the technical documentation of equipment used (52.6%), followed by scientific and legal requirements (30.7%). Less than 20% of the analyzed control measures were validated with operational data collected on-site. No mathematical modeling was observed for the sampled food companies. Future steps should include the development of validation guides for different types of control measures and training modules.

This study can serve as an improvement guide for food safety consultants, food safety auditors, certification bodies, inspection services, food technologists and food managers.

This study is one of the first to provide an insight into how food companies validate their control measures to combat microbial, chemical and physical food safety hazards.

The purpose of this paper is to provide a snapshot of secondary school food policy (SSFP) across the devolved nations (England, Scotland, Wales and Northern Ireland) to offer insights into a growing area of policy concern. The selected context of research is school food policy (SFP), an area of research which has received little attention in terms of policy approaches. The review is focused on 2010 to 2022.

This work combines interdisciplinary perspectives spanning across food policy, public health, psychology, education and sociology. This combination has merit as it offers different perspectives in terms of understanding SFP. The study was conducted between August 2021 and March 2022, using a desk-based review, analysing policies on food in secondary schools. Data collection was conducted through the Web using key search terms. The READ (Read, Extract, Analyse, Distil) approach was used as a systematic procedure to analyse policy and evaluation documents.

To all levels of government, it is recommended that a coherent policymaking approach be used to tackle SSFP improvements, to progress a whole school approach to food, supported by long-term dedicated resources while engaging children in SSFP development. For education departments, it is recommended that a food curriculum review, connected to school meals alongside a refocus on school food standards monitoring and reporting is crucial in serving the future generations. The current economic crisis has had an impact on public spending. Universal Free School Meals has been said to make an enormous difference to well-being.

The current findings suggest that researching SFP across nations has merit. There is a relative lack of focus on secondary schools, in light of England’s focus on the National Food Strategy (focus on children), post-pandemic, economic crisis – together this makes school food and food policy a topic of real urgency and importance. Lessons can both be learned, particularly in promoting healthier and more educationally inclusive school food practices. Research in this area can inform curriculum design and school food environment and system changes from the perspective of learnings around taking a whole school food approach to education.

The study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance.

The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy.

The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize.

In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.

The purpose of this study is to examine and review tayyiban indicators in the context of halal food production. In Islam, food produced or manufactured must be halal and tayyiban. Even though both halal and tayyiban are always mentioned together in the Quran, the halal aspect is highlighted more than tayyiban. The discussion of tayyiban’s indicators is still vague.

The study was adopted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for the review of the current research which used two main journal databases, namely, Web of Science and Scopus. Accordingly, the search resulted in a total of 40 articles that can be systematically examined.

The results of review of these articles formulated five main themes: safety, nutrition, cleanliness, quality and authenticity. These five indicators are considered relevant enough in the context of halal food production to build a comprehensive tayyiban concept.

This study enriches the field of halal food research. The concept of tayyiban as a whole has been given limited attention in academic literature. At the end of this study, a number of recommendations are suggested for the reference of future scholars.

The credit of agricultural product quality and safety reflects the ability of the main actors involved in the supply chain to provide reliable agricultural products to consumers. To fundamentally solve the problem of agricultural product quality and safety, it is worth studying how to make the credit awareness and integrity self-discipline of the supply chain agriculture-related subjects strengthened and the role and value of credit supervision given full play. Starting from the application of blockchain in the agricultural product supply chain, this paper aims to investigate the main factors affecting the credit regulation of agricultural product quality.

Using the DEMATEL-ISM (decision-making trial and evaluation laboratory–interpretative structural modeling) method, we analyze the credit influencing factors of agricultural quality and safety empowered by blockchain technology, find the causal relationship between the crucial influencing factors and deeply explore the hierarchical transmission relationship between the influencing factors. Then, the path analysis in structural equation modeling is utilized to verify and measure the significance and effect value of the transmission relationship among the crucial influencing factors of credit regulation.

The results show that the quality and safety credit regulation of agricultural products is influenced by a combination of direct and deep influencing factors. Long-term stable cooperative relationship, Quality and safety credit evaluation, Supply chain risk control ability, Quality and safety testing, Constraints of the smart contract are the main influence path of blockchain embedded in agricultural product supply chain quality and safety credit supervision.

Credit supervision is an important means to improve the ability and level of social governance and standardize the market order. From the perspective of blockchain embedded in the agricultural supply chain, the regulatory body is transformed from the product body to the supply chain body. Take the credit supervision of supply chain subjects as the basis of agricultural product quality supervision. With the help of blockchain technology to improve the effectiveness of agricultural product quality and safety credit supervision, credit supervision is used to constrain and incentivize the behavior of agricultural subjects.

Research and interest in food loss and waste (FLW) have increased, but barriers stand in the way of firms engaging in food recovery efforts. The purpose of this study is to gain a better understanding of how firms overcome these barriers.

This study followed a qualitative, field-study-based research design in which 23 decision-makers at food-based organizations were interviewed. Quotes were extracted and categorized to develop a conceptual model of the food recovery process.

The conceptual model that evolved helps to explain decision-making related to FLW across the following dimensions: barriers to food recovery, incentives to overcome the barriers, internal processes for engaging in food recovery and external relationships influencing internal incentives and processes. In addition, the barriers and incentives were divided into operational and managerial issues.

Building on the barriers to food recovery in prior research, we explored the processes that help firms overcome these barriers. The model developed in this study is an important step toward addressing these processes and relationships. It can serve as a foundation for a variety of future studies of food recovery.

The current research aimed to examine the prevalence of Instagram posts featuring ultra-processed products targeted at adolescents in Uruguay and hence investigate the frequency of such posts among a vulnerable consumer segment in a country that cannot be classified as WEIRD (i.e. Western, educated, industrialized, rich and democratic).

The study relied on a cross-sectional content analysis. A total of 2,014 Instagram posts promoting ultraprocessed products or brands commercializing such products, generated by 118 Instagram accounts between August 15th, 2020, and February 15th, 2021, were analyzed. Nine indicators of food marketing targeted at adolescents were selected to identify posts targeted at this age segment. Inductive coding was used to describe the content of the posts. Descriptive statistics and generalized linear models were used to analyze the data.

In total, 17.6% of the posts were identified as targeted at adolescents. Graphic design and adolescent language were the most prevalent indicators of marketing targeted at adolescents, followed by explicit references to adolescents or young adults and memes. Posts identified as targeted at adolescents mainly promoted snacks and discretionary foods. Differences in the content of posts identified as targeted and not targeted at adolescents were observed.

The analysis was restricted to one social media platform in one country during a limited period of time, which limits the generalizability of the findings to other media platforms, samples and settings.

Results stress the need to implement digital food marketing regulations to reduce exposure of adolescents to the deleterious effects of stemming from marketing of unhealthy foods and provide empirical evidence to inform their development.

The study breaks new ground by analyzing the prevalence and exploring the characteristics and content of Instagram posts promoting ultra-processed products to adolescents in an under-researched geographic area of the world.