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Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This chapter integrates both structural and symbolic interactionist perspectives used in the study of collective behavior to provide a thorough examination of the campus culture and student–police interactions that precipitated a riot near James Madison University (JMU). While the analysis is anchored by Smelser’s (1971 [1962]) “value-added” model, it also accounts for cultural conditions common on college campuses. Importantly, the dynamics associated with this case may be similar to other riots – at sporting events, at religious processionals, etc. – occurring when authorities disrupt gatherings that have strong cultural resonance among participants. In these cases, attempts at disruption may be seen as an assault on norms strongly associated with a group’s identity. The study also used a unique data source – 39 YouTube videos posted of the riot event – that made it possible to capture the interactive and emergent quality of rioting behavior in real time from multiple vantage points.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

Organization development is focused on implementing a planned process of positive humanistic change in organizations through the use of social science theory, action research, and data-based feedback methods. The role of personality in that change process, however, has historically been ignored or relegated to a limited set of interventions. The purpose of this chapter is to provide a conceptual overview of the linkages between personality and OD, discuss the current state of personality in the field including key trends in talent management, and offer a new multi-level framework for conceptualizing applications of personality for different types of OD efforts. The chapter concludes with implications for research and practice.

This study examines how perceptions of injustice, anger, and group identification motivate follower intentions to engage in collective action against leaders. The study revolved around the Malaysian prime minister’s actions and responses toward allegations of misuse of public funds. Responses from 112 Malaysians via a cross-sectional survey revealed that follower perceptions of leader injustice are significantly related to anger toward the leader, which in turn is related to intentions to engage in collective action. The relationship between perceptions of distributive injustice and anger is moderated by group identification, while group efficacy moderates the relationship between anger and collective action intentions.