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Purpose – First, to look closely and critically at Hayek's treatment of science in The Sensory Order. This provides hints as to the difficulties in maintaining a theory of scientific knowledge as a selective sum of the identifiable contributions of individual scientists. Second, to generalize from Hayek's theory of how the brain generates an individual's knowledge to a theory of how science generates scientific knowledge, knowledge that is not a simple sum of individual contributions. Third, to apply this picture of science to understanding developments in postpositivist philosophy and post-Mertonian sociology of science.

Approach – We provide a short survey of the conventional understanding of science and scientific knowledge, including that of Hayek in The Sensory Order. We examine in more depth the ways in which developments in postpositivist philosophy and sociology have transformed our understanding of science. We describe how, by analogy with Hayek's theory of the brain, science can be seen as an adaptive system that adjusts to its environment by classifying the phenomena in that environment to which it is sensitive, and we apply this systemic picture of science with a view to integrating much of the more moderate content of recent philosophy and sociology of science.

This chapter addresses two identified weaknesses in entrepreneurial ecosystem studies: there is a lack of focus on the relationships between the components of entrepreneurial ecosystems and little understanding of the underlying processes that determine how entrepreneurial ecosystems change over time. Both entrepreneurial ecosystems and solutions ecosystems from social entrepreneurship studies are place-based complex adaptive systems that are emergent in nature. While neither of these ecosystem types can be controlled, they can be influenced and guided to follow a direction by designing conditions for emergence and transitions. In this chapter, the proposition that an online tool, that is used to strengthen solution ecosystems and support their emergence and transition, could also be used to strengthen entrepreneurial ecosystems and guide their emergence and transition is examined. Two cases are used to investigate this proposition: a food security solution ecosystem case study that demonstrates how the online tool is used for solution ecosystems, and an impact economy entrepreneurial ecosystem case study that highlights how the online tool could be used for an entrepreneurial ecosystem. It is demonstrated in this chapter that the online tool can be used to address the current weaknesses of entrepreneurial ecosystem studies. In addition, it is suggested that by combining solution ecosystems with an impact economy entrepreneurial ecosystem, the online tool can be used to support the creation of conditions for social entrepreneurial places to emerge that are capable of addressing the most pressing problems that places face including the sustainable development goals.

We discuss the impact of complexity science on the design and management of health care organizations over the past decade. We provide an overview of complexity science issues and their impact on thinking about health care systems, particularly with the rising importance of information systems. We also present a complexity science perspective on current issues in today’s health care organizations and suggest ways that this perspective might help in approaching these issues.

We review selected research, focusing on work in which we participated, to identify specific examples of applications of complexity science. We then take a look at information systems in health care organizations from a complexity viewpoint.

Complexity science is a fundamentally different way of understanding nature and has influenced the thinking of scholars and practitioners as they have attempted to understand health care organizations. Many scholars study health care organizations as complex adaptive systems and through this perspective develop new management strategies. Most important, perhaps, is the understanding that attention to relationships and interdependencies is critical for developing effective management strategies.

Increased understanding of complexity science can enhance the ability of researchers and practitioners to develop new ways of understanding and improving health care organizations.

This analysis opens new vistas for scholars and practitioners attempting to understand health care organizations as complex adaptive systems. The analysis holds value for those already familiar with this approach as well as those who may not be as familiar.

Purpose – Overview of Hayek's cognitive theory and the contributions of chapters.

Methodology/approach – Perspective on significance of Hayek's cognitive theory for the social sciences.

Findings – Hayek's cognitive theory provides insight into his oeuvre; more importantly, it is relevant for social theory in its own right.

Research limitations/implications – Hayek's cognitive theory warrants further attention by economists and social theorists interested in evolutionary social processes.

Originality/value of paper – To counter a widespread view that the contribution to economics and social science of Hayek's cognitive theory is largely confined to methodology. Hayek's cognitive theory also provides a useful framework for furthering the understanding of evolution within the social realm.

To reconcile theoretical discrepancies between discrete emotion, dimensional emotion (positive vs. negative affect), and the circumplex model, we propose the bifurcation model of affect structure (BMAS). Based on complexity theory, this model explores how emotion as an adaptive complex system reacts to affective events through negative and positive feedback loops, resulting in self-organizing oscillation and transformations between three states: equilibrium emotion, discrete positive and negative emotion in the near-equilibrium state, and chaotic emotion. We argue that the BMAS is superior to the extant models in revealing the dynamic connections between emotions and the intensity of affective events in organizational settings.

As the demand for new services strains library resources, directors of research libraries must practice efficient cost management and demonstrate alignment with institutional objectives. For technical services, this requires managing the effective cost of metadata services, assessing core functions, and evaluating operational performance. This paper uses Complex Adaptive Systems (CASs) as a framework to expose the network of local and global dependencies that currently define the field of operation for technical services. Comparative analyses using a CASs framework were conducted on reports by the Library of Congress, the Heads of Technical Services in Large Research Libraries Interest Group, and the British Library. Each report addresses financial pressures placed on bibliographic control services in response to the 2008 recession. Statements within the reports were assigned to one of three dominant systems: bibliographic control, institutional identification, and distributive networks. The statements were then mapped to the CASs characteristics to determine environmental pressures and areas of adaptation. The reports exposed long-standing dependencies that tie local bibliographic control to a complex network of external agencies. Institutional shifts toward user-centered services coupled with growing fiscal restraint has disrupted the stability of these networks. The analyses found that in all cases network instability led to localized institutional adaptation to existing economic pressures. The paper recommends applying a CASs model to assess the alignment of distributed metadata standards and systems development to local institutional objectives.

This chapter provides an alternative conception of universities and the higher education systems in which they operate in an attempt to comprehend the ways in which such institutions and systems adapt and maintain themselves over time. Conceptually, it builds on complex systems theory, most notably critical insights from the study of complexity. We base our empirical analysis on developments across the European continent in the light of recent efforts to modernize university systems in the context of rising competition and pressures toward vertical and horizontal differentiation. We contrast two models of the university – strategic versus resilient – and critically reflect on the implications their differences have for the development of systems and universities and future research work in the area.

To create circular economies, we need supply systems to convey materials between their use lives. Often, though, it is not possible to control an entire supply network. Without a coordinator to implement circular economy principles, how can circular supply systems come to be? This chapter sets out to build on complex adaptive systems (CAS) theory and circular economy research to conceptualize how information flows between actors can facilitate the emergence of a circular supply system. It begins by outlining why a supply network can be considered a CAS, as well as the CAS progression from information to adaptation to emergence. Next, it argues that information on local supply networks, extended supply systems, and biosphere impacts is particularly important for circular production. Finally, it concludes with two potential types of emergence that can stem from these information flows: (1) new actor roles and networks and (2) new spatial and temporal patterns. Ultimately, this conceptual overview aims to give researchers and practitioners a CAS frame for thinking about how continual adaptation to information flows can enable change toward circular supply systems.

Purpose – To present the connection between modern network theory and Hayek's ideas on the brain and spontaneous orders.

Methodology/approach – To show that Hayek's ideas on the brain, spontaneous order, and why socialism cannot work are confirmed by network and self-organization theory, and to use network and self-organization theory to bridge Hayek's theory of the mind to his work on spontaneous orders.

Findings – Spontaneous orders are scale-free networks, but humans evolved a preference for hierarchical networks, which are typical of tribes and firms – and socialism. However, hierarchies only work for teleological organizations, not for ateleological spontaneous orders like economies. Part of the human preference for human-organized networks comes from our “intentional stance,” which automatically sees patterns as evidence of an organizer.

Research limitations/implications – This work acts as an introduction to possible directions in spontaneous order research. New work in bridging evolutionary and cognitive psychology (which includes Hayek's work) with self-organization and network theory acts as a promising development for neuro-Hayekians.

Social implications – Understanding there is an evolutionary bias for certain kinds of networks, even though those are not appropriate for certain kinds of social orders, and understanding the nature of these networks should help us understand the true relationships among individuals, organizations, and spontaneous orders.

Originality/value of chapter – This work brings Hayek “up to date,” with network theory and self-organization, showing to what extent Hayek was talking about these concepts. Seeing the similarities and differences between hierarchical and scale-free networks helps one understand how they come about, and in what contexts.

This chapter provides a reflective synopsis of six cases focused on making healthcare sustainable. The nature and value of an ecosystem perspective is explored. The intent is to apply and generate organizational knowledge to understand and guide purposeful design and learning.

From five countries where healthcare is organized differently, these cases illuminate particular approaches to develop the capabilities for healthcare to deliver greater value to society. Each case is examined through the lens of an appropriate theoretical perspective. This chapter reports the themes that were common in the six case studies.

New approaches are changing the connections in the healthcare ecosystem, including the flows of: medical knowledge, clinical information, and resources. Common themes include: the importance of networks in the emerging healthcare ecosystem; the role of governance mechanisms and leadership to align the diverse ecosystem components; the engagement of dominant ecosystem actors; the need for adaptive change capabilities, and for multi-stakeholder research collaborations to generate actionable knowledge.

Taking an ecosystem perspective enables healthcare leaders to broaden their conceptualization of the changes that will be required to be sustainable in a changing society.

Almost every man, woman and child is affected by the healthcare system. Increasing the sustainability of healthcare is integral to increasing societal sustainability overall.

Viewing the ecosystem as the appropriate focus of purposeful change departs from a traditional approach that focuses on the effectiveness of each element.