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Existing descriptions of trust in health care largely assume a straightforward association between a patient’s relationship with a regular provider and his or her trust in health care. I extend status characteristics theory (SCT) and social identity theory (SIT) to suggest greater variability in this association by investigating the role of social differences between patients and their regular providers. Whereas the SIT extension predicts lower trust in dissimilar than similar dyads, the predictions from the SCT extension depend on status in dissimilar dyads. Further, research examining how social differences in patient–provider dyads shape trust largely emphasizes racial differences, but the theories implicate gender differences too.

I analyze a longitudinal dataset of patient–provider dyads offering a conservative test of the extensions.

Results generally support predictions from the SCT extension. Specifically, patients’ status based on differences in either race or gender: (1) is inversely related to their trust in health care and (2) influences the resiliency of their trust, whereby the degree health care met prior expectations matters less (more) for the trust of low (high) status patients than equal status patients.

When patients and providers differ on both race and gender, findings sometimes depart from predictions. This indicates differences in two social categories is a unique situation where the contributions of each category are distinct from that of the other.

This research extends SCT to explain greater variability in the connection between patient–provider dyads and trust in health care, while also showing how gender compares to race.

The current longitudinal study investigated the within- and between-person variance in work-to-family conflict and family-to-work conflict among working mothers over time. It also examined the effects of a nonstandard work schedule and relationship quality on work-to-family conflict and family-to-work conflict using bioecological theory. Results of multilevel modeling analyses showed that there was significant within- and between-person variance in work-to-family conflict and family-to-work conflict. The linear and quadratic terms were significantly related to family-to-work conflict, whereas the quadratic term was significantly associated with work-to-family conflict. There was also a positive relationship between a nonstandard work schedule and work-to-family conflict, whereas relationship quality was negatively associated with family-to-work conflict. Future studies should consider diversity among working mothers to adequately predict work–family conflict. The current study provides important implications for employers to consider, concerning within-and between-person differences among working mothers, which could in turn allow for accommodations and help to decrease work–family conflict.

The alphabet is running out of letters to tag new generations of young people who are entering the workforce. Gen Xers are now executive managers as Gen Ys settles into corporate careers. But what happens when Gen Z moves into the workplace? It seems oddly appropriate that these true digital natives will close out the alphabet because they are poised to reinvent the very nature of what we think of as work and business. Globalization and automation are both decisive factors in the creation of goods and services, often with less and less human oversight. At the same time, technology is creating a new, decentralized and digitized workforce that work more as free agents than company employees. This article will examine how companies can manage the transition of a workforce that is automated and can work from anywhere.

In this chapter we highlight a neurodynamic approach that is showing promise as a quantitative measure of team performance.

During teamwork the rapid electroencephalographic (EEG) oscillations that emerge on the scalp were transformed into symbolic data streams which provided historical details at a second-by-second resolution of how the team perceived the evolving task and how they adjusted their dynamics to compensate for, and anticipate new task challenges. Key to this approach are the different strategies that can be used to reduce the data dimensionality, including compression, abstraction and taking advantage of the natural redundancy in biologic signals.

The framework emerging is that teams continually enter and leave organizational neurodynamic partnerships with each other, so-called metastable states, depending on the evolving task, with higher level dynamics arising from mechanisms that naturally integrate over faster microscopic dynamics.

The development of quantitative measures of the momentary dynamics of teams is anticipated to significantly influence how teams are assembled, trained, and supported. The availability of such measures will enable objective comparisons to be made across teams, training protocols, and training sites. They will lead to better understandings of how expertise is developed and how training can be modified to accelerate the path toward expertise.

The innovation of this study is the potential it raises for developing globally applicable quantitative models of team dynamics that will allow comparisons to be made across teams, tasks, and training protocols.

In many sectors property rights over knowledge and information are weak as they are embodied in employees, competitors can copy or customers can pirate. Yet comprehensive studies show that firms systematically invest in these assets. We offer a simple taxonomy of strategies that firms use to cope with weak property rights.We classify these strategies in three groups: (i) Some firms threaten offenders with strong competition. (ii) Other firms exploit complementarities and offer potential offenders a better deal than they can get elsewhere. (iii) And yet other firms exploit weak property rights and make profits on complementary assets or products that they can own.We go beyond taxonomy by showing when a particular strategy works. It depends systematically on the characteristics of both the asset and the investing firm.