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The chapter examines to what extent research from social cognitive neuroscience can inform ethical leadership. We evaluate the contribution of brain research to the understanding of ethical leaders as moral persons as well the understanding of their role as moral managers. The areas of social cognitive neuroscience that mirror these two aspects of ethical leadership comprise research relating to understanding oneself, understanding others, and the relationship between the self and others. Within these, we deem it relevant for ethical leadership to incorporate research findings about self-reflection, self-regulation, theory of mind, empathy, trust, and fairness. The chapter highlights social cognitive neuroscience research in these areas and discusses its actual and potential contributions to ethical leadership. The chapter thereby engages also with the broader discussion on the neuroscience of leadership. We suggest new avenues for future research in the field of leadership ethics and responsibility.

In this study we focus on how conditions of uncertainty shape the entrepreneurial action that underlies opportunity creation. We utilize the basic structure of economic exchange in the context of opportunity creation theory to further investigate the conditions under which an entrepreneur might be expected to act to bring an opportunity into existence. Specifically, we suggest that uncertainty, that is manifest as relational uncertainty and resource uncertainty, shapes the entrepreneurial actions that underlie the creation of opportunities. In a laboratory experiment we test this hypothesis by observing 56 three-person groups engaged in an opportunity creation-focused exchange task. The results of the experiment support the hypothesis that variability in the conditions of uncertainty (relational uncertainty and resource uncertainty) affects the entrepreneurial action that results in opportunity creation. These results lead us then to propose that there exists a theoretically specifiable set of key entrepreneurial actions (one that is others-focused and another that is works-focused). From this analysis we suggest potential directions for future research in the areas of entrepreneurial action and opportunity creation.

Artifacts are rarely used today to visualize thoughts, insights, and ideas in strategy work. Rather, textual and verbal communication dominates. This is despite artifacts and visual representations holding many advantages as tools to create and make sense of strategy in teamwork. To advance our understanding of the benefits of visual aids in strategy work, I synthesize insights from cognitive psychology, neuroscience, and management research. My analysis exposes distinct neurocognitive advantages concerning attention, emotion, learning, memory, intuition, and creativity from visual sense-building. These advantages increase when sense-building activities are playful and storytelling is used.

Alternative education settings (AES; i.e., self-contained alternative schools, therapeutic day treatment and residential schools, and juvenile corrections schools) serve youth with complicated and often serious academic and behavioral needs. The use of evidence-based practices (EBPs) and practices with Best Available Evidence are necessary to increase the likelihood of long-term success for these youth. In this chapter, we define three primary categories of AES and review what we know about the characteristics of youth in these schools. Next, we discuss the current emphasis on identifying and implementing EBPs with regard to both academic interventions (i.e., reading and mathematics) and interventions addressing student behavior. In particular, we consider implementation in AES, where there are often high percentages of youth requiring special education services and who have a significant need for EBPs to succeed academically, behaviorally, and in their transition to adulthood. We focus our discussion on: (a) examining approaches to identifying EBPs; (b) providing a brief review of EBPs and Best Available Evidence in the areas of mathematics, reading, and interventions addressing student behavior for youth in AES; (c) delineating key implementation challenges in AES; and (d) providing recommendations for how to facilitate the use of EBPs in AES.

Drawing on the literature from cognitive neuroscience and auditing research on professional skepticism (PS), this paper identifies new research questions, determinants, and theories that may resolve current problem areas in PS research. We identify the following PS research areas that neuroscientific perspectives can potentially improve: 1) theory, 2) trust, 3) trait and state skepticism, 4) deception/fraud detection, and 5) skeptical judgment and action. The paper concludes with a discussion of the critical question of whether integrating a neuroscientific perspective in PS research is worthwhile and provides further direction for future research.

Long-term care (LTC) homes are highly regulated settings that provide care to people living with complex health conditions who are often at the end of their lives. Mental health and quality of life are important concepts in LTC given the inherent poor health and diminished autonomy of residents living in this setting. The COVID-19 pandemic had the potential to further compound these issues through lockdowns limiting movement within and outside of LTC homes, increased fear of severe COVID-19 infections, staff shortages, and impaired communication through personal protective equipment. However, the evidence describing the effect of the pandemic on mental health and quality of life is mixed, with some studies describing increased rates of mental health concerns and others presenting modest increases or decreases. Creative strategies to mitigate negative mental health consequences of lockdown included technology supported and window or outdoor visits, increased access to volunteers, and supports for families. However, the evidence in this area continues to evolve as subsequent waves of the pandemic progress. Future research may present new evidence about other strategies that became important in different stages of the pandemic.

For the measurement of large-scale components in aircraft assembly, the evaluation of coordinate transformation parameters between the coordinate frames of individual measurement systems to the assembly frame is an essential task, which is usually completed by registration of the enhanced reference system (ERS) points. This paper aims to propose an analytical method to evaluate the uncertainties of transformation parameters considering both the measurement error and the deployment error of ERS points.

For each measuring station, the measured coordinates of ERS points are first roughly registered to the assembly coordinate system using the singular value decomposition method. Then, a linear transformation model considering the measurement error and deployment error of ERS points is developed, and the analytical solution of transformation parameters’ uncertainties is derived. Moreover, the covariance matrix of each ERS points in the transformation evaluation is calculated based on a new uncertainty ellipsoid model and variance-covariance propagation law.

For the transformation of both single and multiple measuring stations, the derived uncertainties of transformation parameters by the proposed analytical method are identical to that obtained by the state-of-the-art iterative method, but the solution process is simpler, and the computation expenses are much less.

The proposed uncertainty evaluation method would be useful for in-site measurement and optimization of the configuration of ERS points in the design of fixture and large assembly field. It could also be applied to other registration applications with errors on both sides of registration points.

Purpose – In recent decades, some sociologists have turned to evolutionary biology, neuroscience, and cognitive science to support, modify, and reconfigure existing social psychological theory. In this chapter, we build on this momentum by considering the relevance of current work in affective and cognitive neuroscience for understanding emotions and the self. Our principal aim is to enlarge the range of phenomena currently considered by sociologists who study emotion while showing how affective dynamics play an important role across most outcomes and processes of interest to social scientists.

Approach – We focus on the ways external social objects become essential to, and emotionally significant for, the self. To that end, we draw on ideas from phenomenology, pragmatism, classic symbolic interactionism, and dramaturgy. We show how basic affective systems graft on, build from, and extend current social psychological usages of emotions as well as the important sociological work being done on self, from both symbolic interactionist (SI) and identity theory (IT) perspectives. Finally, we turn to the promising directions in studying emotional biographies and various aspects related to embodiment.

Findings – Affective systems consist of brain networks whose connections deepen when activated, with interesting variations observable at the neural, individual, and social levels in which one or more system is more salient than others. Affective systems may come to saturate the construction and maintenance of an autobiography or collective biography, with consequences for self-projection, self-other attunement, and embodied action. In turning to embodiment, however, we consider aspects of cognitive neuroscience that can contribute to ongoing work in neurosociology building on symbolic interactionism.

Practical Implications – The focus on affective systems suggests new research agendas in leveraging emerging neurosociological methods in the laboratory, while pushing for novel, naturalistic observational strategies. The latter, in particular, may be key to deepening sociology's contributions to neuroscience, better positioned to bring the full disciplinary toolkit to bear on these questions.

Social Implications – In considering the embodied and projective aspects of the self, we show how work examining convergence and divergence between embodied and linguistic pathways opens up new insights into how the self develops or acquires behavioral repertoires. As such, this chapter points to the need for holistic approach to understanding the social actor and, thereby, how political, economic, historical, and cultural factors shape self as much as biogenetic and psychological.

Originality of the Chapter – Sociologists think of emotions as either dependent or intervening variables: (1) signaling identity or situational incongruence, (2) states to be managed, and (3) structural dimensions of superordinate–subordinate relationships. Our integration of the theory of affective systems emphasizes the causal primacy emotions have over other behavioral and cognitive functions, clarifying how they play into the construction and maintenance of self and social experience.

Studies of entrepreneurial action often distinguish between different phases such as opportunity identification, evaluation, and exploitation. Yet, the richness of past contributions masks the absence of an integral framework to organize, in a theoretically consistent ensemble, the different kinds of cognitive processes that underpin entrepreneurial action. In this chapter, we draw from research on human action and cognition to offer an integrative model of the cognitive processes that foster entrepreneurial action. By presenting a more specific articulation of when, how, and why different cognitive processes operate, we provide theorists and empiricists with a more complete picture of how entrepreneurs’ thinking evolves from the emergence of an opportunity idea to the initiation of concrete entrepreneurial acts. In addition, our framework draws attention to cognitive inflection points that entrepreneurs must navigate in their journey toward entrepreneurship. By explicitly locating these inflection points and specifying the changes in mental processing that occurs at each point, we highlight that for entrepreneurial action to ensue, entrepreneurs must shift from one type of cognitive processing to another. Along this line, our model draws attention to the entire set of cognitive “skills” entrepreneurs must master for successful completion of each phase and successful transitions between phases.