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Limiting the use of antibiotics in food animals is a cornerstone of contemporary EU policy. Despite that marketing of antibiotics for growth promotion and nutrition has been banned since 2006, the use is still high and varied. This paper aims to investigate the forces behind the different usage patterns in Italy, with one of the EU’s most extensive use of antibiotics in animals, versus Sweden, with the union’s most restricted use, including how these usage patterns are related to EU and national policies.

The industrial network approach/the 4R resources interaction model is adopted to investigate the major forces behind the different antibiotic usage patterns. Furthermore, the study relies on the notion of three main characteristics related to the use of a resource activated in several user settings (Håkansson and Waluszewski, 2008, pp. 20–22). The paper investigates the Swedish and the Italian using settings, with a minimised, respectively, extensive usage of antibiotics. The study is exploratory in nature and based on qualitative data collected through a combination of primary and secondary sources.

The paper underlines the importance of integrating forces for policy to succeed in attempts to reduce the use of a particular resource. It reveals that Sweden’s radically reduced use was based on great awareness, close interactions between animal-based food producers and policy – and that integrating forces were supported by an era of state-protected food production, with promising ability to distribute the cost of change. The Italian characteristics hindering the integration of forces mounting for reduced use were restricted awareness, top-down business and policy interactions – and a great awareness about the difficulties of distributing the cost of change.

The study deals with the analysis of forces affecting the different usage of antibiotics within two EU settings. The investigation, based on the industrial network approach’s notion of connectivity of economic resources, that is, of exchange having a content and substance beyond discrete transactions, reveals how indirect related contextual forces, neglected by policy, have an important influence on the ability to achieve change, in this case of antibiotics usage patterns.

The author presents the meat of the most common species consumed in Europe and their role in nutrition. The work focuses on the meat of mammals and birds; it does not deal with the importance of protein sources from other taxonomic categories. European meat consumption habits and consumer preferences are presented, taking into account religious, cultural and geographical differences. It examines the possibility of influencing and changing consumer behavior based on consumer opinions. It separately examines the reasons for the less preference of meat or the complete rejection of meat consumption among consumers. This chapter also points out the demographic effects, lifestyle changes and the economic effects of income conditions. It presents examples of the role of government propaganda and the marketing activities of producers or processors in encouraging consumption.

In the digital era individuals are overwhelmed by huge amount of readily available information. The information provided at the time of COVID-19 crisis is increasingly available. The purpose of this paper was to investigate individuals’ perceived feelings due to the plethora of information during COVID-19 pandemic in Greece in Spring 2020.

This study was conducted through a Web-based questionnaire survey posted on the Google Forms platform. The questionnaire consisted of closed-ended, seven-point Likert-scale questions. The data collected were subjected to a principal component analysis. The retained principal components (PCs) were subjected to statistical analysis between genders and among age groups and professional status with the nonparametric criteria Mann–Whitney U and Kruskal–Wallis.

Responses by 776 individuals were obtained. Seventeen original variables from the questionnaire were summarized into three PCs that explained the 71.7% of total variance: “affective disorders,” “uncertainty issues and inaccurate information worries” and “satisfaction and optimism.” Participants partly agree that the received amount of information on the disease caused them feelings of uncertainty about the future and worries about relatives’ lives, but also satisfaction with developments in the country. Females seem to experience stronger perceived feelings of “affective disorders” (p < 0.001) and reported higher degree of agreement about “uncertainty issues and inaccurate information worries.”

The recorded feelings caused by the volume of available information may have forced people accept the necessary precautionary behavioral changes that had contributed to the Greek success in preventing spread of the disease in Spring 2020.

Globally, consumer’s inclination towards functional foods had noticed due to their greater health consciousness coupled with enhanced health-care cost. The fact that probiotics could promote a healthier gut microbiome led projection of probiotic foods as functional foods and had emerged as an important dietary strategy for improved human health. It had established that ice cream was a better carrier for probiotics than fermented milked due to greater stability of probiotics in ice cream matrix. Global demand for ice cream boomed and probiotic ice cream could have been one of the most demanded functional foods. The purpose of this paper was to review the technological aspects and factors affecting probiotic viability and to standardize methodology to produce functional probiotic ice cream.

Attempt was made to search the literature (review and researched papers) to identify diverse factors affecting the probiotic viability and major technological challenge faced during formulation of probiotic ice cream. Keywords used for data searched included dairy-based functional foods, ice cream variants, probiotic ice cream, factors affecting probiotic viability and health benefits of probiotic ice cream.

Retention of probiotic viability at a level of >10⁶ cfu/ml is a prerequisite for functional probiotic ice creams. Functional probiotic ice cream could have been produced with the modification of basic mix and modulating technological parameters during processing and freezing. Functionality can be further enhanced with the inclusion of certain nutraceutical components such as prebiotics, antioxidant, phenolic compounds and dietary fibres. Based upon reviewed literature, suggested method for the manufacture of functional probiotic ice cream involved freezing of a probiotic ice cream mix obtained by blending 10% probiotic fermented milk with 90% non-fermented plain ice cream mix for higher probiotic viability. Probiotic ice cream with functional features, comparable with traditional ice cream in terms of technological and sensory properties could be produced and can crop up as a novel functional food.

Probiotic ice cream with functional features may attract food manufacturers to cater health-conscious consumers.

Small-scale farmers are highly heterogeneous with regard to their types of farming, levels of technology adoption, degree of commercialization and many other factors. Such heterogeneous types, respectively groups of small-scale farming systems require different forms of government interventions. This paper applies a machine learning approach to analyze the typologies of small-scale farmers in South Africa based on a wide range of objective variables regarding their personal, farm and context characteristics, which support an effective, target-group-specific design and communication of policies.

A cluster analysis is performed based on a comprehensive quantitative and qualitative survey among 212 small-scale farmers, which was conducted in 2019 in the Limpopo Province of South Africa. An unsupervised machine learning approach, namely Partitioning Around Medoids (PAM), is applied to the survey data. Subsequently, the farmers' risk perceptions between the different clusters are analyzed and compared.

According to the results of the cluster analysis, the small-scale farmers of the investigated sample can be grouped into four types: subsistence-oriented farmers, semi-subsistence livestock-oriented farmers, semi-subsistence crop-oriented farmers and market-oriented farmers. The subsequently analyzed risk perceptions and attitudes differ considerably between these types.

This is the first typologisation of small-scale farmers based on a comprehensive collection of quantitative and qualitative variables, which can all be considered in the analysis through the application of an unsupervised machine learning approach, namely PAM. Such typologisation is a pre-requisite for the design of more target-group-specific and suitable policy interventions.

The performance governance model, based on the use of performance information to improve governance, is particularly complex, considering the inter-institutional relationships and community involvement that it requires. In order to contribute to the scientific debate on this model, the paper aims to highlight what are the challenges in developing three variables of performance governance (operational performance measurement tools, governance integration and citizen involvement) in the public health context.

Based on the previous literature, we identified three variables that characterize the performance governance model. We then explored them through the case study methodology applied to the Apulia Regional Health System.

The analysis allows us to conclude that the healthcare system under consideration is still far from applying the performance governance model, but it highlights some factors that are preparatory to the same. Moreover, starting from the empirical evidence, some considerations arise regarding managerial and policy making implications for the variables investigated.

The paper contributes to a growing body of critical literature on performance governance contextualizing the analysis in a particularly relevant area of the public sector, namely public health. Furthermore, the research also identifies some potential risks of the performance governance model (rigidity in performance measurement tool, organization-objective-responsibility relationship, participatory illusion).

The main data used to develop this case were remote, synchronous interviews with the three characters in the case. The authors conducted two interviews with the main character in the case, Geoff Brown, specifically: (1) an initial 30 min interview to determine the fit and focus of the case and to help create the interview protocol for the full case interview (this initial interview was conducted on March 12, 2024); and (2) an hour-long interview to ask targeted questions to fully develop the case narrative (this interview was conducted on March 28, 2024). Geoff Brown was also involved in reviewing drafts of the case, approving the final version of the case and reviewing the assignment questions in this instructors’ manual (IM).

This case focuses on Geoff Brown, Executive Director at Alberta Chicken Producers (ACP), which is a not-for-profit organization in Alberta, Canada, that is responsible for representing 250 regulated chicken producers. Brown is grappling with what to do with the remote/hybrid work policy at ACP. Part of the impetus for reconsidering this policy was the comments from ACP’s long-tenured Office Manager and Executive Assistant, who had been asking Brown to bring this policy forward to a staff meeting for discussion throughout the past year. Brown now feels ready to move these discussions forward but is unsure of how to proceed and what the best practices would be to ensure that the policy in place for remote work is beneficial for work engagement, individual and organizational work performance, work–life balance, employee relationships and fairness perceptions.

The target audience for this case is undergraduate and graduate students taking a course in the disciplines of human resources management or organizational behavior. This case will be especially relevant for a human resources management course when studying the topics of employee benefits (e.g. work–life balance), health and safety (e.g. stress) and work design (e.g. telecommuting), and this case will be especially relevant for an organizational behavior course when studying the topics of motivation (e.g. fairness), communication, organizational culture and decision-making.

This chapter on animal ethics, animal rights, and animal welfare is a logical sequence to and ontological consequence of the arguments in earlier chapters. By respecting Mother Nature in all her ecosystems and biodiversity levels, especially by recognizing animal rights and their uniqueness, autonomy, and intrinsicality, we actively contribute to natural sustainability and animal welfare. Our anthropocentric economic models that are profoundly insensitive to the complex interdependencies between human and nonhuman behavior systems and their irreversible environmental challenges endanger both animal rights and global sustainability. Philosophically, we confront epistemological and anthropocentric structures that uncritically privilege humans disproportionately to nonhumans and unwittingly rationalize, moralize, and commodify meat production and consumption such that animal rights and welfare get seriously compromised. To achieve animal welfare, however, we need to seriously rescale Nature's hierarchies first by dethroning ourselves from self-appointed and self-serving, uncontested and critically unexamined presumed human superiority over the nonhuman world and restoring global equality of being an opportunity for all.

Studies on developed economies showed that imposing taxes on animal-based foods could effectively reduce agricultural greenhouse gas emissions (AGHGEs), while this taxation may not be appropriate in developing countries due to the complex nutritional status across income classes. Hence, this study aims to explore optimal tax rate levels considering both emission reduction and nutrient intake, and examine the heterogenous effects of taxation across various income classes in urban and rural China.

The authors estimated the Quadratic Almost Ideal Demand System model to calculate the price elasticities for eight food groups, and performed three simulations to explore the relative optimal tax regions via the relationships between effective animal protein intake loss and AGHGE reduction by taxes.

The results showed that the optimal tax rate bands can be found, depending on the reference levels of animal protein intake. Designing taxes on beef, mutton and pork could be a preliminary option for reducing AGHGEs in China, but subsidy policy should be designed for low-income populations at the same time. Generally, urban residents have more potential to reduce AGHGEs than rural residents, and higher income classes reduce more AGHGEs than lower income classes.

This study fills the gap in the literature by developing the methods to design taxes on animal-based foods from the perspectives of both nutrient intake and emission reduction. This methodology can also be applied to analyze food taxes and GHGE issues in other developing countries.