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This chapter examines early childhood pedagogy in Germany. It developed in the wake of the Programme for International Student Assessment (PISA) education debate, and the expansion of higher education led to new types of application-oriented courses. For a long time, child day care in Germany was not seen as a subject of theoretical worth. Vocational training for kindergarten teachers, overwhelmingly employed in day care centers, has not yet been academized. The academic study of childhood pedagogy is a thereof separate project, taught especially at universities of applied science. Nevertheless, constructions of new disciplines are directed toward professional fields, for which they claim relevance with their academic training. With its focus on “Bildung” childhood pedagogy in Germany claims to offer a scientifically based solution to the practical problems of action in child day care. This chapter discusses the specific content of the curricula statistical figures of graduates at universities and in the fields of practice. It provides first empirical clarification on observable phenomena of a scientific “penetration” of cognitive rationality in kindergartens. It fosters an academic habitus that induces a distancing from direct interaction with children, leads to a diversification of tasks in day care centers, and promotes hierarchical processes of professional role differentiation in the field of childcare.

Activist criminology advocates for social change by acting beyond the role of the academic, mainly through first-hand involvement in the field (Goyes, 2016). In this chapter, the author offers a longitudinal reflection on the researcher’s positionality, epistemology and methodology from the personal experience since their first research project, in 2019. During this project, the author started having cooperation with the Liberi Nantes migrants’ sports centre, now a community centre in Rome’s working-class suburb. This sparked her first reflections on activist criminology and how to embed it in her research approach and practice. The initial cooperation evolved in the ongoing and evolving collective ‘conversational integration’ project, which aims at overcoming the notion of integration as one-sided assimilation, working on addressing the diverse needs of the local community through a bottom-up governance initiative. This chapter is to be intended as a checkpoint in their growth within activist criminology and it hopefully serves to spark questions, suggestions and a push to form a solid network of activist academics that can help in fostering social change outside of the neoliberal agendas of academia.

Climate-induced damage is a pressing problem for the preservation of cultural properties. Their physical deterioration is often the cumulative effect of different environmental hazards of variable intensity. Among these, fluctuations of temperature and relative humidity may cause nonrecoverable physical changes in building envelopes and artifacts made of hygroscopic materials, such as wood. Microclimatic fluctuations may be caused by several factors, including the presence of many visitors within the historical building. Within this framework, the current work is focused on detecting events taking place in two Norwegian stave churches, by identifying the fluctuations in temperature and relative humidity caused by the presence of people attending the public events.

The identification of such fluctuations and, so, of the presence of people within the churches has been carried out through three different methods. The first is an unsupervised clustering algorithm here termed “density peak,” the second is a supervised deep learning model based on a standard convolutional neural network (CNN) and the third is a novel ad hoc engineering feature approach “unexpected mixing ratio (UMR) peak.”

While the first two methods may have some instabilities (in terms of precision, recall and normal mutual information [NMI]), the last one shows a promising performance in the detection of microclimatic fluctuations induced by the presence of visitors.

The novelty of this work stands in using both well-established and in-house ad hoc machine learning algorithms in the field of heritage science, proving that these smart approaches could be of extreme usefulness and could lead to quick data analyses, if used properly.

To write this case, several research methods were used. Most importantly, field interviews were conducted with employees at Banati foundation. The interviews were held with three different employees at different points in time, including the marketing manager, the executive manager and the head teacher working with the girls at the foundation. These interviews helped provide details regarding the foundation’s culture which is hard to get from secondary sources. In addition to this, one of the researchers was a volunteer at the foundation for 6 months before starting this research and so had strong background knowledge on the workings of the entity. Finally, secondary sources were used to provide accurate historical information and numerical statistics. These sources included the foundation’s website and annual reports as well as newspaper interviews with the Banati’s Chairperson.

This case poses the marketing dilemma faced by Banati Foundation, a non-profit organization (NPO) based in Egypt. Banati has offered child protection services to girls at risk since its establishment in 2009. In particular, the case focuses on the foundation’s strategy and operations in 2020. Since its inception, the foundation has been led by the main founder, Dr Hanna Abulghar. Under her leadership, the foundation flourished and won several international awards. The foundation became a home, a school and a support system to the girls who were once homeless. Yet even though Banati succeeded in improving the lives of many girls at risk, the foundation still sought ways to sustain its funds and to empower the girls to thrive after they left the foundation. As the key person responsible for setting the foundation’s direction and strategy, Dr Hanna faced marketing challenges that include overcoming social stigma, diversifying the donor base and increasing fundraising.

This case is suitable for undergraduate and Master’s students who already have an understanding of the basic marketing principles such as the marketing mix (4Ps)/market segmentation and have taken an introductory marketing course previously. Furthermore, the case presents an opportunity to apply marketing concepts such as segmentation, targeting, positioning and promotion within the context of social and NPO marketing. It is ideal for students studying social marketing, NPO marketing strategy, cause marketing, fundraising techniques and social inclusion.

This case study will allow students to critically analyse and develop entry strategies into untapped foreign markets. The case study was designed to introduce students to identifying and analysing information related to target markets for expansions in international business.

The main objectives of this case are to evaluate and make the “Go Global” decision for the company; to take a position on entry timing for a company for entering an overseas market; to select a country for entry based on cultural, administrative, geographic and economic analysis and other relevant factors; and to evaluate a firm’s readiness for exports.

This case study on Satya Pharmaceuticals presents a typical dilemma faced by small and medium enterprises (SMEs) in emerging markets such as India while exploring the untapped overseas markets to expand their business. Satya Pharmaceuticals produced over-the-counter Ayurvedic medicines. With the onset of the COVID-19 pandemic, the consumer preference for Ayurvedic products had increased globally. Home country governments’ emphasis on exports and conducive consumer preferences created an opportune time for such SMEs to explore uncharted markets with a propensity for herbal medicines. Amidst strict regulations regarding safety, efficacy, labelling and packaging norms, along with a subjective understanding of the consumers’ sentiments regarding alternate medicines, SMEs had to select their target market carefully for their products to be successful overseas. This case study presents the basic information that entrepreneurs needed to explore the foreign markets. It revolved around checking firms’ preparedness to explore foreign markets, identifying target markets, timing the entry and entering those markets.

This case is appropriate for graduate-level courses in management that offer subjects such as international business.

Teaching notes are available for educators only.

CSS 5: International business.

This paper explores the nature and operations of the supply chain that serves disadvantaged groups. With the increasing reliance on supplementary food provision through food aid, the authors seek to emphasise efficiency and sustainability in these supply chains.

Semi-structured interview data from 32 senior managers and experts from both commercial and food aid supply chains were abductively analysed to develop a relationship-based map of the food chains that serve disadvantaged groups.

Disadvantaged groups are served by a hybrid food supply chain. It is an interconnected supply chain bringing together the commercial and the food aid supply chains. This chain is unsurprisingly plagued with various challenges, the most critical of which are limited expertise and resources, operational inefficiencies, prohibitive logistics costs and a severe lack of collaboration.

This study identifies the currently limited role of logistics companies in surplus food redistribution and highlights future pathways. Additionally, the authors present useful actionable propositions for managers, practitioners and policymakers.

Identifying autism spectrum disorder (ASD) in children’s early years significantly impacts their academic performance and future life. It allows them to receive special support services and the required early intervention. Preschool teachers spend considerable time with their students, which allows them to observe their behaviors in different settings like classrooms and playgrounds. However, teachers need to be knowledgeable of ASD early assessment to detect them. Whereas, all well-known ASD assessment tools are designed for populations from different cultures than the Gulf Cooperation Councils' (GCC) culture. This study emphasizes the importance of preschool age, from 3 to 5, in indicating children's early signs of ASD. This paper aims to indicate the early signs of ASD in preschool children in the UAE as a model for other GCC countries.

A qualitative method consisting of interviews with preschool teachers and the ASD children’s parents was conducted to investigate the ASD early symptoms in children.

The findings of the study show that there is a direct connection between the opinions expressed by preschool teachers and the parents of children with ASD (Autism Spectrum Disorder). These results also highlight the presence of early indications of ASD among preschool-aged children in the United Arab Emirates, such as difficulties in communication, repetitive actions, delayed speech, excessive focus on tablets, trouble paying attention, hyperactivity, sleep problems, and aggressive behavior.

The outcomes suggest a strong connection between the feedback from preschool teachers and the parents of children with ASD. The study uncovers initial indications of ASD in preschool-aged children from the United Arab Emirates, such as difficulties in communication, repetitive actions, delayed speech, excessive fascination with tablets, problems with attention, hyperactivity, sleep disturbances, and aggressive behavior.

This study proposes strategies for vaccine center allocation for coronavirus disease (COVID) vaccine by determining the number of vaccination stations required for the vaccination drive, location of vaccination station, assignment of demand group to vaccination station, allocation of the scarce medical professional teams to station and number of optimal days a vaccination station to be functional in a week.

The authors propose a mixed-integer nonlinear programming model. However, to handle nonlinearity, the authors devise a heuristic and then propose a two-stage mixed-integer linear programming (MILP) formulation to optimize the allocation of vaccination centers or stations to demand groups in the first stage and the allocation of vaccination centers to cold storage links in the second stage. The first stage optimizes the cost and average distance traveled by people to reach the vaccination center, whereas the second stage optimizes the vaccine’s holding and storage and transportation cost by efficiently allocating cold storage links to the centers.

The model is studied for the real-world case of Chandigarh, India. The results obtained validate that the proposed approach can immensely help government agencies and policymaking body for a successful vaccination drive. The model tries to find a tradeoff between loss due to underutilized medical teams and the distance traveled by a demand group to get the vaccination.

To the best of our knowledge, there are hardly any studies on a vaccination program at such a scale due to sudden outbreaks such as Covid-19.