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Organizations today operate in highly dynamic environments and are becoming more complex. Helping their organizations master this complexity is a major leadership challenge. To better understand how managers’ behaviors aggravate or reduce complexity, we reviewed 1,400 responses to a proprietary organizational complexity survey. Analysis identified specific managers’ behaviors that contribute to perceived complexity. We draw from these findings, literature on complex adaptive systems, and our consulting experiences to identify specific strategies managers can use to make it simpler for people to get things done, and even to “master” complexity by turning it into a source of strategic advantage.

Standard financial risk management practices proved unable to provide an adequate understanding and a timely warning of the financial crisis. In particular, the theoretical foundations of risk management and the statistical calibration of risk models are called into question. Policy makers and practitioners respond by looking for new analytical approaches and tools to identify and address new sources of financial risk. Financial markets satisfy reasonable criteria of being considered complex adaptive systems, characterized by complex financial instruments and complex interactions among market actors. Policy makers and practitioners need to take both a micro and macro view of financial risk, identify proper transparency requirements on complex instruments, develop dynamic models of information generation that best approximate observed financial outcomes, and identify and address the causes and consequences of systemic risk. Complexity analysis can make a useful contribution. However, the methodological suitability of complexity theory for financial systems and by extension for risk management is still debatable. Alternative models drawn from the natural sciences and evolutionary theory are proposed.

This chapter examines the complexity of global leaders themselves. As global leadership research has begun to move beyond a limiting overemphasis on skills and competencies, we merge one focus on the deep structure of leader cognition with a focus on cultural identity that has matured largely independently. In so doing, we seek to push the field toward answering the broader question of what makes a global leader sufficiently complex to handle the vast complexities of the role. We place the construct of self-concept complexity as central to the performance of global leaders in ways ranging from organizational performance to social and community responsibility. By advancing our understanding of the role of self-concept complexity in driving global leadership outcomes, this research seeks to spur further theoretical development and practical application toward a deeper comprehension of the complexity of truly global leaders.

Ours is a complex world. On these five words will be built a foundation for an alternative way of framing our thinking about risk management. Complexity means many things, but a key feature is that outcomes cannot be predicted with certainty. In the best cases, opportunities arise to analyse and develop some understanding of the uncertainty within a complex system, and in the most fortunate of such circumstances it is possible to anticipate specific outcomes with some degree of accuracy. The authors call such circumstances risks – that is, measurable uncertainties. Complexity, however, consists mainly of interconnected uncertainties and unknown/unknowable possible outcomes or effects. And, of course, complex systems can include humans whose (in)ability to perceive and interpret such environments makes things – well – more complex.

This book ultimately will focus on how the authors construct a way to lead and manage in this environment, but first it is critical that the terminology and description of this world be given some precision. Therefore, Chapter One begins with an introduction to the idea of complexity, including some mention of the principles and concepts that inform our understanding of it. In turn, this discussion introduces uncertainty. Risk, as a category of uncertainty is discussed and the implications of its measurability are presented, which leads to a discussion of human perception and behaviour under conditions of uncertainty. Attention is then drawn to the unknown and the unknowable, and to emergent phenomena. Since the focus of this book is on public sector risk management, the chapter concludes with a brief discussion of the idea of public risk.

This chapter elaborates on the usefulness of embracing complexity theory, modeling outcomes rather than directionality, and modeling complex rather than simple outcomes in strategic management. Complexity theory includes the tenet that most antecedent conditions are neither sufficient nor necessary for the occurrence of a specific outcome. Identifying a firm by individual antecedents (i.e., noninnovative vs. highly innovative, small vs. large size in sales or number of employees, or serving local vs. international markets) provides shallow information in modeling specific outcomes (e.g., high sales growth or high profitability) – even if directional analyses (e.g., regression analysis, including structural equation modeling) indicate that the independent (main) effects of the individual antecedents relate to outcomes directionally – because firm (case) anomalies almost always occur to main effects. Examples: a number of highly innovative firms have low sales while others have high sales and a number of noninnovative firms have low sales while others have high sales. Breaking-away from the current dominant logic of directionality testing – null hypothesis significance testing (NHST) – to embrace somewhat precise outcome testing (SPOT) is necessary for extracting highly useful information about the causes of anomalies – associations opposite to expected and “statistically significant” main effects. The study of anomalies extends to identifying the occurrences of four-corner strategy outcomes: firms doing well in favorable circumstances, firms doing badly in favorable circumstances, firms doing well in unfavorable circumstances, and firms doing badly in unfavorable circumstances. Models of four-corner strategy outcomes advance strategic management beyond the current dominant logic of directional modeling of single outcomes.

In this commentary, I highlight a few of the assertions made by McDaniel et al. (2013) about the importance of complexity science guided management practices, and extend these ideas specifically to how we might think about reducing seemingly intractable problems in health care such as patient safety, patient falls, hospital acquired infection, and the rise of chronic illness and obesity. I suggest that such changes will require managers and providers to view health care organizations and patients as complex adaptive systems and include patients as full participants in co-producing their health care.

Narrow, managerially centered notions of organizational culture remain hegemonic, marginalizing richer, anthropological approaches as well as efforts to understand how the beliefs and practices of organizations are fundamentally shaped by the wider societal dynamics within which they are embedded. In this paper, the authors draw upon recent efforts to explore the interface of scholarship on practice and the institutional logics perspective to highlight the utility of a practice-driven institutional approach to the study of organizational culture that brings society back in. Empirically, the authors present a longitudinal case study of a Chinese private enterprise, and analyze how the unfolding dynamics of a strong community logic increasingly affected by a rising market logic, shaped the formation of political coalitions internally and externally as organizational members aimed to maintain truces between the push and pull of logics over a period of 22 years. Through an analysis of seven episodes that we conceptualize as “cultural encounters,” the authors find that a combination of compartmentalization and overall integration of logics contributes to provisional truces, and that people in the same cohort who share common geographic socialization are more likely to form allies. Our aim is to encourage future scholars to study how societal beliefs and practices work their way into organizations in a variety of explicit as well as more mundane, hidden ways.

This chapter seeks to elaborate on the concept of complexity theory when applied to destination management, using Mount Rigi (an important recreational and tourism destination in Lucerne, Switzerland) as the focus of the case study. This study supports an alternative view of complexity theory which can help to explain the dynamic, nonlinear, and nondeterministic relationships within the tourism system. It also supports the theory’s applicability toward explaining the nature of tourism as a complex adaptive system, and reveals that Mount Rigi’s development did not occur in isolation, but involved various interdependent tourism components and external factors at both the macro and micro levels.

In this section, we offer a careful and systematic review of the theoretical and empirical studies relating to global mindset that have been published in books and peer-reviewed journals. This review includes studies that use differing terms to refer to the idea of global mindset but consider the same general concept. At the same time, we exclude studies that do not specifically pertain to global mindset but concentrate on such areas as global leadership, expatriates, and expatriation, even though they may focus on similar underlying themes found in the global mindset literature. We then identify two fundamental themes in the global mindset literature – cosmopolitanism and cognitive complexity – and use these concepts to develop a new integrative approach to global mindset.