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Extensive human and animal research has examined approach and withdrawal motivation, which we define as the simple urge to move toward or away, respectively. In this chapter, we review seminal and recent research that showing that asymmetrical frontal cortical activity underlies approach and withdrawal motivation that occur during childhood, that characterize certain psychopathologies, and are present in everyday emotional experiences. Specifically, greater left-frontal activity is involved in approach motivation, including the expression and experience of anger, jealousy, desire, and joy. Conversely, greater right-frontal activity is involved in withdrawal motivation, including the expression and experience of some forms of sadness, crying, and depressed mood. We also review recent research suggesting that connectivity between the frontal and parietal cortices is a potential mechanism for the motivation-related effects of asymmetrical frontal activity.

Unobtrusive measurement methodologies are critical to implementing intelligent tutoring systems (ITS) for teams. Such methodologies allow for continuous measurement of team states and processes while avoiding disruption of mission or training performance, and do not rely on post hoc feedback (including for the aggregation of data into measures or to develop insights from these real-time metrics). This chapter summarizes advances in unobtrusive measurement developed within Army research programs to illustrate the variety and potential that unobtrusive measurement approaches can provide for building ITS for teams. Challenges regarding the real-time aggregation of data and applications to current and future ITS for teams are also discussed.

Although the term “trigger event” is commonly accepted and frequently mentioned by many disciplines in conjunction with sensemaking, research attention on the trigger event construct is sorely lacking. We chose to examine this construct within a specific setting that global leaders have to master – the intercultural context. After reviewing the relevant literature, we created an original model of trigger events and sensemaking in the intercultural context, which is accompanied by propositions that determine the likelihood of an event rising to the level of a trigger. It is our hope that this theoretical model will lead to a better understanding of how trigger events function in general. The chapter contributes to a greater understanding of the cognitive element of global leadership effectiveness. Finally, the model has practical implications for intercultural and global leadership training and executive coaching.

We investigate how career disruptions in terms of job loss may impact morbidity for individuals diagnosed with type 2 diabetes (T2D). Combining unique, high-quality longitudinal data from the Swedish National Diabetes Register (NDR) with matched employer–employee data, we focus on individuals diagnosed with T2D, who are established on the labor market and who lose their job in a mass layoff. Using a conditional difference-in-differences evaluation approach, our results give limited support for job loss having an impact on health behavior, diabetes progression, and cardiovascular risk factors.

Introduction: With the proliferation and amalgamation of technology and the emergence of artificial intelligence and the internet of things, society is now facing a rapid explosion in big data. However, this explosion needs to be handled with care. Ethically managing big data is of great importance. If left unmanageable, it can create a bubble of data waste and not help society achieve human well-being, sustainable economic growth, and development.

Purpose: This chapter aims to understand different perspectives of big data. One philosophy of big data is defined by its volume and versatility, with an annual increase of 40% per annum. The other view represents its capability in dealing with multiple global issues fuelling innovation. This chapter will also offer insight into various ways to deal with societal problems, provide solutions to achieve economic growth, and aid vulnerable sections via sustainable development goals (SDGs).

Methodology: This chapter attempts to lay out a review of literature related to big data. It examines the implication that the big data pool potentially influences ideas and policies to achieve SDGs. Also, different techniques associated with collecting big data and an assortment of significant data sources are analysed in the context of achieving sustainable economic development and growth.

Findings: This chapter presents a list of challenges linked with big data analytics in governance and achievement of SDG. Different ways to deal with the challenges in using big data will also be addressed.

Despite the existence of a variety of approaches to the understanding of behavioral and managerial ethics in organizations and business relationships generally, knowledge of organizing systems for fidelity remains in its infancy. We use halakha, or Jewish law, as a model, together with the literature in sociology, economic anthropology, and economics on what it termed “middleman minorities,” and on what we have termed the Landa Problem, the problem of identifying a trustworthy economic exchange partner, to explore this issue.

The article contrasts the differing explanations for trustworthy behavior in these literatures, focusing on the widely referenced work of Avner Greif on the Jewish Maghribi merchants of the eleventh century. We challenge Greif’s argument that cheating among the Magribi was managed chiefly via a rational, self-interested reputational sanctioning system in the closed group of traders. Greif largely ignores a more compelling if potentially complementary argument, which we believe also finds support among the documentary evidence of the Cairo Geniza as reported by Goitein: that the behavior of the Maghribi reflected their deep beliefs and commitment to Jewish law, halakha.

Applying insights from this analysis, we present an explicit theory of heroic marginality, the production of extreme precautionary behaviors to ensure service to the principal.

Generalizing from the case of halakha, the article proposes the construct of a deep code, identifying five defining characteristics of such a code, and suggests that deep codes may act as facilitators of compliance. We also offer speculation on design features employing deep codes that may increase the likelihood of production of behaviors consistent with terminal values of the community.