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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.

This first chapter explores the basic foundation of corporate ethics: the human person in all its dignity and mystery, its corporeality and emotionality, and its cognitive and volitive capacities of moral development. Four fundamental characteristics of the human person, namely individuality, sociality, immanence, and transcendence, will be examined for their potential to understand, live, experience, and witness corporate ethics and morals. We explore the profound meaning and mystery of human personhood invoking several philosophies of the good and human dignity as exposed by Aristotle and Thomas Aquinas in the West, by the doctrine of Dharma in the East as expounded by Gautama Buddha, Mahabharata, and Bhagavad Gita, and by Prophets Confucius and Tao, in the East. Several contemporary cases of great human personhood are analyzed: for example, Peace Nobel Laureate Nelson Mandela from South Africa (1993) and Peace Nobel Laureate Liu Xiaobo from China (2017) – cases of human abuse that turned into triumphs of human dignity.

This paper aims to address one of the fundamental issues of gathering existing knowledge/solutions from projects for re-use in other projects, that is, contextual elements that are integrated with the knowledge. Contextual elements that are associated/integrated with knowledge do not often taken into consideration adequately during knowledge transfer. Hence, this can lead to undesirable consequences, for example, unnecessary use of time and resources. This paper will increase the awareness of (and lead to finding appropriate ways to) dealing adequately with contextual elements in knowledge transferring processes.

Qualitative method: narrative literature study.

This paper provides a conceptual understanding of dealing with contextual elements in knowledge transferring processes from the sense making perspective.

This paper, which is connected to a research and development (R&D) project that has recently started, uses this paper to emphasize the importance of addressing contextual elements adequately in knowledge transferring processes. This emphasis is important as this R&D project deals with, among other things, collecting lessons learned on energy efficient solutions from building and renovation projects for re-use in other renovation projects.

This paper will contribute to replicate knowledge / lessons learned effectively and to increase the application of energy efficient solutions in building renovation projects.

This paper attempts to point out and increase our understanding on how acquisition of knowledge at an earlier point of time can influence transferring of that knowledge at a later point of time. In general, there is inadequate focus and awareness on this issue in construction projects.

Technology increasingly features in intimate relationships and is used by domestic violence perpetrators to enact harm. In this chapter, we propose a theoretical and practical framework for technology-facilitated harms in heterosexual relationships which we characterize as digital coercive control. Here, we include behaviors which can be classified as abuse and stalking and also individualized tactics which are less easy to categorize, but evoke fear and restrict the freedoms of a particular woman. Drawing on their knowledge of a victim/survivor's experiences and, in the context of patterns and dynamics of abuse, digital coercive control strategies are personalized by perpetrators and extend and exacerbate “real-world” violence.

Digital coercive control is unique because of its spacelessness and the ease, speed, and identity-shielding which technology affords. Victim/survivors describe how perpetrator use of technology creates a sense of omnipresence and omnipotence which can deter women from exiting violent relationships and weakens the (already tenuous) notion that abuse can be “escaped.” We contend that the ways that digital coercive control shifts temporal and geographic boundaries warrant attention. However, spatiality more broadly cannot be overlooked. The place and shape in which victim/survivors and perpetrators reside will shape both experiences of and response to violence. In this chapter, we explore these ideas, reporting on findings from a study on digital coercive control in regional, rural, and remote Australia. We adopt a feminist research methodology in regard to our ethos, research processes, analysis, and the outputs and outcomes of our project. Women's voices are foreground in this approach and the emphasis is on how research can be used to inform, guide, and develop responses to domestic violence.

The International Network of Research Management Societies (INORMS) celebrated its 20^th anniversary in 2021. It was established to increase communication among research management societies. The need for a formal international research management community developed because there was (1) increased international funding of research, (2) the number of international research collaborations was growing, and (3) there was a need to understand research regulations in other countries. INORMS sought to address these issues through international congresses and by providing a forum for member societies to work more closely together on common issues. Membership in INORMS steadily increased over the years. The 20^th anniversary meeting was highlighted with the signing of the Hiroshima Statement that described a research manager’s principles and responsibilities, which include collegiality, inclusiveness, professionalisation, innovation, and accountability. This chapter summarises the factors that led to the formation of INORMS and its history.

Industry 4.0 or the Fourth Industrial Revolution is characterized by robotic process automation and machine-to-machine communications. Since computers, machines, and robots share information and knowledge more swiftly and effectively than humans, the question is what human beings' role could be in the era of the Internet-of-Thing. The answer would be beneficial to institutions for higher education to anticipate. The literature reveals a gap between the intended learning outcomes in higher education institutions and the needs of employers in Industry 4.0. Evidence is shown that higher education mainly focused on knowledge (know-what) and theory-based (know-why) intended learning outcomes. However, competent professionals require knowledge (know-what), understanding of the theory (know-why), professional (know-how) and interpersonal skills (know-how and know-who), and need intrapersonal traits such as creativeness, persistence, a result-driven attitude et cetera. Therefore, intended learning outcomes in higher education should also develop interpersonal skills and intrapersonal characteristics. Yet, personality development is a personal effort vital for contemporary challenges. The history of the preceding industrial revolutions showed the drawbacks of personality and character education; politicians have abused it to control societies in the 19th and 20th centuries. In the discussion section, the institutions for higher education are alerted that the societal challenges of the twenty-first century could lead to a form of personality education that is not in the student's interest and would violate Isaiah Berlin's philosophical concept of ‘positive freedom’.

Ethics is fundamentally a science of social and collective responsibility. Ethics concerns human behavior as responsible or accountable. Because of the nature of social interaction, certain members of the society will bear greater authority, and hence, greater individual and social responsibility than others. In our world, personal responsibility and social responsibility are hardly separable. Personal responsibility becomes responsibility for the world because the person and the world are inseparable. In this chapter, we use the term responsibility from a legal, ethical, moral, and spiritual (LEMS) standpoint as some promise, commitment, obligation, sanctioned by self, morals, law, or society, to do good, and if harm results, to repair harm done on another. Hence, responsibility from a moral perspective is trustworthiness and dependability of the agent in some enterprise. Its inverse is exoneration – the extent to which one is excused from commitment and repairing the harm done to others by one’s actions. We apply the theories and constructs of executive responsibility to two contemporary cases: (1) India’s Super Rich in 2014 and (2) the Fall and Rise of Starbucks. After exploring the basic notion of responsibility, we present a discussion on the nature and obligation of corporate responsibility into three parts: Part I: Classical Understanding and Discussion on Corporate Responsibility; Part II: Contemporary Understanding and Discussion on Corporate Responsibility, and Part III: A synthesis of classical and contemporary views of responsibility and their applications to corporate executive responsibility.