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Divestitures and other forms of organizational separation are not commonly associated with continuity and ongoing collaboration in inter-organizational relationships. Instead, separation is often equated with terminating relationships and gaining independence. Here, the authors argue that achieving separation does not require terminating relationships and that ongoing collaboration between separating entities may actually contribute to successful separation. The authors base this argument on the assertion that the objective of organizational separation is to achieve organizational autonomy for all entities involved and that separating entities can enable each other’s development of autonomy while remaining interdependent. The authors also discuss how collaborative separation may contribute to a range of benefits, as well as why it may nevertheless fail to emerge in practice. In this respect, the authors consider the relevance of ethical perspectives and emotional dynamics related to feelings of (dis)respect, (dis)trust, pride and shame. The authors conclude by discussing activities that may contribute to, and undermine, effective collaborative separation.

Models of Child Health Appraised (MOCHA) was a wide-ranging, multi-disciplinary and multi-method study that aimed to identify the best models of provision of primary care for the children of the European Union. The research has identified two main conclusions: (1) The depth of interdependency of health, economy and society. Primary care needs to be an active partner in public debate about current child health concerns. It should orientate more effectively in addressing wider societal influences on child health through advocacy and collaborative intersectoral public health approaches with those agencies responsible for public and community health if it is to address effectively issues such as childhood obesity, mental health and vaccine hesitancy. As part of this, it needs to address its workforce composition and skills, not least in two-way communication. (2) The European Community has many visions and commitments to children and child health policies, but their effectiveness is largely unfulfilled. The Commission can strengthen its impact on children’s health and healthcare services within current remits and resources by focusing on a number of key fields: planned and structured research, providing insight into optimal human resources and skills in child primary care, developing and using ethical means of listening to children’s views, remedying the invisibility of children in data, measuring the quality of primary care from a child-centric perspective, understanding the economics of investing in children’s health, developing e-health standards and evaluation, collaborative and harmonised use of downloaded research databases, understanding and respecting children’s rights and equity, and appreciating and allowing for children’s evolving autonomy as they grow up. An optimal model of primary care for children is proactive, inclusive, corporately linked, based on and providing robust evidence, and respects the wider determinants of health and children’s involvement in their health trajectory.

This chapter highlights how implementing circular economy principles can help companies working with sustainability to move from a reductionist and waste management approach to marketing competitive circular value propositions that intentionally design out waste (e.g. emissions and pollution) by rethinking, reinventing and redesigning the value chain. Schijvens, a Dutch family-owned corporate fashion textile company, acts as a case for exemplifying successful implementation of circular economy principles as a marketing strategy in a sector that struggles with finding solutions to the ethical challenges of producing and marketing textile fashion. The textile industry has, for many years, been accused of production that is based on environmentally harmful processes and conditions that are not socially fair. Circular economy principles provide a range of suggestions to address the ethical challenges occurring from covering the human needs of having clothes to wear. Yet, implementing circular economy principles is not a panacea. It is not only a question of delivering a technological quick fix but also a question of managing the new processes and human mindset guiding the actions in the value chain. This chapter, therefore, outlines reasons for a different perspective on the traditional linear value chain and related implications managers face when undertaking a journey from sustainability based on a reductionist approach to a closed-loop approach. It is argued that implementing circular economy principles by pro-actively managing the value chain processes based on eco-centric dynamic capabilities can provide even more radical changes than the incremental reductionist approach often associated with being a green sustainable company.

Children’s voices are seldom heard directly. Most often, children, particularly young children, are represented by adults acting on their behalf who may or may not best represent the child’s views or best interests. This can be beneficial or problematic, if the child’s needs are not appreciated or recognised. This chapter looks at the changing attitudes to listening to young people, and the growing recognition of the value of children’s needs, as well as the growing voices of the children themselves, who make their needs increasingly clear. The results of our Models of Child Health Appraised (MOCHA) interviews with children and young people via the DIPEx International organisation give us clear direction as to the importance children using primary care services place on being taken seriously, being listened to and being able to make their own decisions. Other researchers asked input from primary care professionals on children’s autonomy and how the current and future primary care systems can best address the needs of young people, as well as the placing of these issues in a wider cultural context, and how this influences and is influenced by children’s choices. Finally, we look at how the MOCHA country agents have reported the assessment of the importance and function of listening to young people in our research.

The aim of this chapter is to describe a four-type model of organisational structures and to discuss two cases, Embrapa and the Brazilian Agricultural Research Corporation, as well as additional cases at SAM-Research and the centre for shared medical support services established at the University of Bologna.

These cases should help readers understand the importance of designing distinctive, tailored-made support services while keeping these structures flexible for further adaptation under unforeseen changes.

The chapter concludes by stressing the role of institutions to steadily invest in the design of these tailored support structures and in personalised training for their support staff.

This chapter establishes the conceptual and analytic framework for the book. It relates not only to much of the existing work in evolutionary and institutional economics, but also to work in cultural science and cultural semiotics domains as well as in media convergence and transmedia studies. The central concept it first deploys is ‘innovation systems’ as applied in national, regional, international and sectoral contexts. It then builds on the general theory of economic evolution by Kurt Dopfer and Jason Potts and reviews the tools this theory provides to carry out a meso-level analysis of industries co-innovating and converging. It then proposes a new concept – ‘cross-innovation’ – to refer to the emergence of new structures and ‘rules’ at the boundaries of existing industries.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

Purpose – The purpose of this study is to find out the attributes that belong to the Kano category, which should be applied in the service quality of Baitul Mal Kota Lhokseumawe. In its service Baitul Mal must be prosecuted to prioritize satisfaction of mustahiq, so that the progress will be in the quality of service and able to improve the mustahiq economy and also give a positive impact on the survival of Baitul Mal.

Design/Methodology/Approach – This method is used in order to know the attributes that should be upgraded in accordance with the wishes of mustahiq. Finding the result shows that these methods allow us to know the priority attributes that must be improved its performance by the Baitul Mal. It is the Amil of Baitul Mal Kota Lhokseumawe act based on Islamic morality. Amil Baitul Mal Kota Lhokseumawe solve the mustahiq problem related to Zakat program on time. Baitul Mal Kota Lhokseumawe always serve mustahiq effectively. Amil Baitul Mal Kota Lhokseumawe has knowledge about Zakat and the Zakat given by Baitul Mal can improve the prosperity of mustahiq, and Amil Baitul Mal Kota Lhokseumawe does not distinguish between mustahiq one and others.

Research Limitations/Implication – Baitul Mal is a social institution, which is engaged in the charity of Zakat fund raising for the sake of socially patterned and sustainable economy.

Advances in Big Data, artificial Intelligence and data-driven innovation bring enormous benefits for the overall society and for different sectors. By contrast, their misuse can lead to data workflows bypassing the intent of privacy and data protection law, as well as of ethical mandates. It may be referred to as the ‘creep factor’ of Big Data, and needs to be tackled right away, especially considering that we are moving towards the ‘datafication’ of society, where devices to capture, collect, store and process data are becoming ever-cheaper and faster, whilst the computational power is continuously increasing. If using Big Data in truly anonymisable ways, within an ethically sound and societally focussed framework, is capable of acting as an enabler of sustainable development, using Big Data outside such a framework poses a number of threats, potential hurdles and multiple ethical challenges. Some examples are the impact on privacy caused by new surveillance tools and data gathering techniques, including also group privacy, high-tech profiling, automated decision making and discriminatory practices. In our society, everything can be given a score and critical life changing opportunities are increasingly determined by such scoring systems, often obtained through secret predictive algorithms applied to data to determine who has value. It is therefore essential to guarantee the fairness and accurateness of such scoring systems and that the decisions relying upon them are realised in a legal and ethical manner, avoiding the risk of stigmatisation capable of affecting individuals’ opportunities. Likewise, it is necessary to prevent the so-called ‘social cooling’. This represents the long-term negative side effects of the data-driven innovation, in particular of such scoring systems and of the reputation economy. It is reflected in terms, for instance, of self-censorship, risk-aversion and lack of exercise of free speech generated by increasingly intrusive Big Data practices lacking an ethical foundation. Another key ethics dimension pertains to human-data interaction in Internet of Things (IoT) environments, which is increasing the volume of data collected, the speed of the process and the variety of data sources. It is urgent to further investigate aspects like the ‘ownership’ of data and other hurdles, especially considering that the regulatory landscape is developing at a much slower pace than IoT and the evolution of Big Data technologies. These are only some examples of the issues and consequences that Big Data raise, which require adequate measures in response to the ‘data trust deficit’, moving not towards the prohibition of the collection of data but rather towards the identification and prohibition of their misuse and unfair behaviours and treatments, once government and companies have such data. At the same time, the debate should further investigate ‘data altruism’, deepening how the increasing amounts of data in our society can be concretely used for public good and the best implementation modalities.