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The application of physiological methods to the study of psychological phenomena has garnered considerable interest in recent years. These methods have proved especially useful to the study of emotions, since evidence suggests that validly measuring a person’s emotional state using traditional, psychometric methods such as surveys or observation is considerably more difficult than once thought. The present chapter reviews the challenges associated with measuring emotions from a purely psychological perspective, and suggests that the study of emotions in organizations can benefit from the use of physiological measurement to complement traditional assessment methods. We review more established approaches to physiological measurement, including those related to hormone secretion, cardiovascular activity, and skin conductance. We then highlight somewhat more recent attempts to use neurological scanning. A theme of this chapter is that both psychological and physiological measures are relevant to understanding and assessing emotions in organizations. Accordingly, we propose a multi-method approach involving both types of assessment. Finally, we discuss the practical and ethical implications of employing various forms of physiological measurement in the study of emotions, specifically in the context of organizations.

Emotions and affect continue to garner widespread interest in the organizational sciences, and psychometric instruments tend to be the most often utilized method of assessing emotional phenomena in the workplace. However, psychometric questionnaires/surveys suffer from various shortcomings in that they may not adequately capture the underlying emotional experiences of individuals for various reasons (such as social desirability, lack of awareness, political posturing, and so forth). Neuroscience approaches allow researchers to directly assess the underlying neural activity that is occurring inside individuals’ brains. Accordingly, neuroscience can help researchers to overcome some of the limitations of surveys, thus allowing for both broader conceptualization and measurement. We briefly discuss the various neuroscience methodologies that can be used to help researchers gain insight into how individuals in the workplace experience emotions. Our discussion targets emotional contagion and emotional regulation as two areas that could especially benefit from utilizing a neuroscientific approach. We end the chapter with a consideration of practical implications.

While reiterating the benefits of applications of neuroscience to both research and practice, we also acknowledge in this concluding chapter the potential issues that will continually need to be addressed. Specifically, we overview ontological and epistemological concerns, such as the potential for excessive reductionism. We also address ethical issues that could come into play for both researchers and practitioners. Finally, we conclude with a look forward to the future by suggesting that the “approach,” rather than the “avoidance,” of organizational neuroscience is likely to grow over time. One exciting possibility is how an examination of the human brain in work and organizational settings is likely to be a prime example of the “big data” trends that the future will bring.

Team composition research considers how configurations (e.g., team-level diversity) of team members’ attributes (e.g., personality, values, demographics) influence important outcomes. Our chapter describes key issues in understanding and effectively managing team composition over time.

We discuss how context shapes team composition. We review empirical research that examined relationships between team composition, and team processes and emergent properties over multiple time points. We review research that examined how composition can be effectively managed over the lifecycle of a team.

Context shapes the nature of team composition itself (e.g., dynamic composition). To the extent that membership change, fluid boundaries, and multiple team membership are present should be accounted for in research and practice. The research we reviewed indicated no, or fleeting effects for surface-level (e.g., demographics) composition on the development of team processes and emergent properties over time, although there were exceptions. Conversely, deep-level composition affected team processes and emergent properties early in a team’s lifespan as well as later. Team composition information can be used in staffing; it can also inform how to best leverage training, leadership, rewards, tasks, and technology to promote team effectiveness.

Teams are the building blocks of contemporary organizations. Understanding and effectively managing team composition over time can increase the likelihood of team.

Our chapter provides novel insights into key issues in understanding and effectively managing team composition over time.