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The understanding of competency development has changed to learning toward a higher degree of self-organization of the learning process. This shift leads to increased requirements on the communication processes of employees and superiors. It is postulated that the coordination between self-organization and external organization is deficient, so competency development activities often do not lead to the desired outcomes. An empirical study was undertaken in which a total of 106 companies were involved. The study investigated various expectations surrounding self-organization and external organization in large companies as opposed to SME, together with the conditions under which self-organization and external organization occur in these companies. The empirical study comes to the conclusion that large enterprises emphasize the central role of HR development for the innovation capacity of an organization more than SME. There are also different ways of combination of self- and external organization of competency development depending on the enterprise size. In contrast to the given assumption, it could not be identified that managers as HR developers can improve the success of competency development.

Flexibility is a basic requirement to cope with complexity and dynamics. The aim of this chapter is to analyze to which extent self-organization can support integrating flexibility in the processes of competence-building and competence-leveraging. The objective of this discussion is therefore to deduce possible contributions of the concept of self-organization to a strategic competence-based management in regard to effects of flexibilization.

Political economies evolve institutionally and technologically over time. This means that to understand evolutionary political economy one must understand the nature of the evolutionary process in its full complexity. From the time of Darwin and Spencer natural selection has been seen as the foundation of evolution. This view has remained even as views of how evolution operates more broadly have changed. An issue that some have viewed as an aspect of evolution that natural selection may not fully explain is that of emergence of higher order structures, with this aspect having been associated with the idea of emergence. In recent decades it has been argued that self-organization dynamics may explain such emergence, with this being argued to be constrained, if not overshadowed, by natural selection. Just as the balance between these aspects is debated within organic evolutionary theory, it also arises in the evolution of political economy, as between such examples of self-organizing emergence as the Mengerian analysis of the appearance of commodity money in primitive societies and the natural selection that operates in the competition between firms in markets.

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.

In a computer-based experimental study, we explored intensity of pleasant and unpleasant emotional experiences (affect), following immediate outcomes of risky choices over time under three levels of uncertainty (80%, 50%, 20%). We found that the intensity of pleasant affect initially increased linearly before suddenly reducing after the seventh task, and then resumed the linear upward trend. In contrast, the intensity of unpleasant affect cyclically changed after every five decision tasks, displaying a wave-like pattern. Interestingly, the 50% probability (maximum information entropy) group demonstrated patterns quite different to the other two groups (20%, 80%). For pleasant affect, this group reduced in positive affect significantly more than the other two groups after the seventh decision task. For unpleasant affect, the 50% group displayed an increasing negative affect trend, while the other two groups displayed a reducing negative affect trend. In sum, our findings reveal different temporal patterns of pleasant emotions from correct decisions and unpleasant emotions resulting from wrong decisions. We conclude that, consistent with the self-organization theory, these differences reflect nonlinear changes in the emotional system to cope with the challenge of uncertainty (or entropy).

How do you steer an organization that is not able to steer itself? How do you influence an organization's ability for self-organization? How do you empower a nonprofit organization (NPO) in South Africa in order to help them to organize themselves in ways that make it possible for donors in the West to collaborate with them in different international aid projects? And how do NPOs react in response to the West's attempts to empower them? These are the questions that Frederik Claeyé addresses in his chapter about how Western donors shape the governance structures and management practices of South African NPOs. To begin, Claeyé shows how the Western ideological discourse of managerialism that emphasizes accountability, organizational definition, and capacity building is enacted as a means to achieve the political aims of effective funding. He then shows how a sample of South African NPOs reacted to these external attempts to organize their own self-organization. Here, Claeyé isolates three ideal types of reactions: conformism, resistance, and hybridity. In conclusion, Claeyé critiques the global ideology of management discourse for being weighted in favor of Western techniques of management at the expense of the South African culture of Ubuntu, here understood as reciprocity and solidarity. The ideology of Western management practices has a limited understanding of, and limited room for, Ubuntu. The effect of this ideology, functioning as a “regime of truth” in the Foucauldian sense of the term, is hybridization, which Claeyé identifies as the individual translation by South African NPOs of the Western requirement for structure.

The attractiveness of dynamic systems perspectives for expanding thinking about motivation, more particularly interest, lies in the central proposition that the individual is a self-organizing system in which “novel forms emerge without predetermination and become increasingly complex with development” (Lewis, 2000, p. 36). As Lewis further points out, “self-organization is not a single theory or model. Rather it is an idea … that promises coherent explanation in the study of pattern, change and novelty” (Lewis, 2000, p. 42). Thelen and Smith (2006) have proposed that self-organization is a “fundamental property of living things” and “by self-organization we mean that pattern and order emerge from the interactions of the components of a complex system without explicit instructions, either in the organism itself or from the environment” (p. 259). They suggest that understanding change and development concerns “the elaborate causal web between active individuals and their continually changing environments” (p. 271) and refer to specific units of organization within the system as “patterns assembled for task-specific purposes whose form and stability depended on both the immediate and more distant history of the system” (p. 284). To date, dynamic systems perspectives have been applied to a wide range of psychological phenomena, for example, the development of perceptual, motor and cognitive systems in infancy and early childhood (see e.g., Thelen & Smith, 2006). Jörg, Davis, and Nickmans (2007) have argued for a similar approach for the learning sciences. They propose a new complexity paradigm suggesting that more attention needs to be given to understanding the dynamics of the complex systems that make up the science of education and teaching.

The intention of this article is to show possible contributions of the concept of autonomous cooperation to enable complex adaptive logistics systems (CALS) to cope with increasing complexity and dynamics and therefore to increase the systems' information-processing capacity by implementing autopoietic characteristics. In order to reach this target, the concepts of CALS and autopoietic systems will be introduced and connected. The underlying aim is to use the concept of self-organization as one of their essential similarities to lead over to the concept of autonomous cooperation as the most narrow view on self-organizing systems, which is discussed as a possible approach to enable systems to handle an increasing quantity of information. This will be analyzed from both a theoretical and an empirical point of view.

The Globally Networked Organization (GNO) is an archetype of the geographically distributed, globally integrated, and organizationally networked information-age multinational enterprise. While its organizational form has been widely discussed, methods for providing strategic direction to all or part of a GNO have been largely overlooked. We propose the concept of strategic animation as an innovative leadership approach to strategic management in the GNO and offer a set of guiding principles for installing such a system in organizations. Strategic animation employs sophisticated incentives to motivate voluntary buy-in, utilizing principles of self-organization to replace the command and control of the unitary firm and the uncertainty and transactional costs of real markets. This makes possible virtual integration of the multiple highly separable businesses that comprise the value-added proposition of the firm and encourages the development of emergent processes for both exploitation and renewal of assets. From a scholarly perspective, this model suggests a new framework for studying the strategic direction of GNOs. For practice, it offers an organizational solution to conditions where process control is preferred, but command of resources is limited. Strategic animation, set in motion through multiple managerial actions, facilitates the timely and flexible responses to chaotic environments that are the sine qua non of today’s global businesses.

Chaotic growth and climate change have led to increased uncertainty in social-ecological systems, like urban areas, and have lowered their thresholds to withstand shocks, thus increasing their vulnerability. To reduce this effect, the concept of resilience is increasingly being applied in urban governance and planning. Public participation is seen as an attribute, which potentially increases the resilience of social-ecological systems.

What kind of public participation leads to resilience, and how, are questions which this chapter addresses. To answer these questions, this study focused on relevant literature regarding resilience and governance, and investigated the events related to the flooding of the Ramnadi river corridor in Pune, India. The governance structure within the Ramnadi river corridor was then analyzed using a causal loop diagram. By studying its nodes, linkages, and feedbacks, this chapter explores how public participation affects the resilience of the social-ecological system of the Ramnadi river corridor.

Public memory, a minimum sustained level of perpetual participation, and the presence of proactive institutions which can effectuate various levels and types of participation, have emerged as the qualities of public participation which increase the resilience of social-ecological systems. Based on the presence or absence of these qualities, a new typology of public participation is proposed here, namely the binary of continuous public participation versus event-based public participation. This distinction proves to be an effective indicator of whether an instantiation of public participation can lead to resilience. The applicability of this classification for designing interventions for placemaking has also been discussed.