This article explores how both corporate governance and corporate social responsibility can be improved by using insights from complexity theory. Complexity theory reveals that decentralized governance architecture is required for firms to absorb competently the increased intricacies, variety of variables, and objectives introduced by CSR. The current predominant form of centralized governance based on command-and-control hierarchies copes with complexities by reducing data inputs. This approach results in firms reducing their objectives, concerns, and insights about CSR. Firms with a decentralized “network” (...) form of governance architecture are used to illustrate how the data inputs of each manager can be reduced through the decomposition of decision-making labor to improve the capability of the firm to intelligently absorb and manage complexity. Network governance also introduces a division of powers with stakeholders to facilitate information flow and strengthen incentives to manage the enterprise to enhance both shareholder value and CSR. (shrink)

In recent years, many philosophers of science have attempted to articulate a theory of non-epistemic emergence that is compatible with mechanistic explanation and incompatible with reductionism. The 2005 account of Fred C. Boogerd et al. has been particularly influential. They argued that a systemic property was emergent if it could not be predicted from the behaviour of less complex systems. Here, I argue that Boogerd et al.'s attempt to ground emergence in complexity guarantees that we will see emergence, but at (...) the cost of rendering it either trivial or epistemic. There are three basic problems. First, neither the measures of complexity explicitly mentioned by Boogerd et al. nor the most popular measures in the literature can do the practical and theoretical work that they assign to complexity. Second, I argue that while the success of their view depends on restricting the base of information available to the reductionist, this cannot be done in a way that is metaphysically neutral with respect to emer.. (shrink)

In this paper we argue for the contribution that deconstruction can make towards an understanding of complex systems. We begin with a description of what we mean by complexity and how Derrida’s thought illustrates a sensitivity towards the problems we face when dealing with complex systems. This is especially clear in Derrida’s deconstruction of the structuralist linguistics of Ferdinand de Saussure. We compare this critique with the work of Edgar Morin, one of the foremost thinkers of contemporary complexity and argue (...) for the possible contributions that both thinkers provide towards an understanding of complex phenomena in the world. We then move on to illustrate the particular economy of thinking we are forced to engage with when dealing with complex systems. This economy is inspired by Derrida’s deconstruction of Bataille’s general economy. This economy illustrates the fundamental nature of critique in the process of dealing with complex systems, the third concept we explore in this paper. The process of critique illustrates the necessity for both cutting apart and weaving together of economies in order to maintain the possibility for divergent ways of being in the world. We conclude with the ethical implications of dealing with complex systems and some first steps towards an ‘ethics of complexity’. (shrink)

Our paper focuses on Stuart Kauffman’s theory from 1993 to 2004. Kauffman is looking for an explanation of the genesis of living beings by genetic networks. From interactions to cell types, Kauffman’s viewpoint is concerned with differentiation and self-organization as network’s properties. His approach of morphogenetic processes is interesting but it is insufficient. According to Sole, Fernandez and Kauffman [2003], networks would give an explanation of the diversity in patterns and cell types. Some other authors [as Perkins et al., 2004] (...) consider that it is necessary to explore interactions, not with logical methods only, but non-linear systems too. Network’s structure is related to biological diversity. It supposes genes’ power’s mediators within the cells and between them. (shrink)

Some contemporary theorists such as Mazzocchi, Theise and Kafatos are convinced that the reformed complementarity may redefine how we might exploit the complexity theory in 21st-century life sciences research. However, the motives behind the profound re-invention of “biological complementarity” need to be substantiated with concrete shreds of evidence about this principle’s applicability in real-life science experimentation, which we found missing in the literature. This paper discusses such pieces of evidence by confronting Bohr’s complementarity and ion channel modeling practice. We examine (...) whether and to what extent this principle might assist in developing ion channel models incorporating both deterministic and stochastic solutions. According to the “mutual exclusiveness of experimental setups” version of Bohr’s complementarity, this principle is needed when two mutually exclusive perspectives or approaches are right, necessary in a particular context, and are not contradictory as they arise in mutually exclusive conditions (mutually exclusive experimental or modeling setups). A detailed examination of the modeling practice reveals that both solutions are often used simultaneously in a single ion channel model, suggesting that the opposite conceptual frameworks can coexist in the same modeling setup. We concluded that Bohr’s complementarity might find applications in these complex modeling setups but only through its realistic phenomenological interpretation that allows applying different modes of description regardless of the nature of the underlying ion channel opening process. Also, we propose the combined use of complementarity and Complex thinking in building the multifaceted ion channel models. Overall, this paper’s results support the efforts to establish a more general form of complementarity to meet today’s complexity theory-inspired life sciences modeling demands. (shrink)

This paper explores the possibility for a means of bringing about novelty which does not rely on kairological philosophies based on an event. In contrast to both common sense and contemporary philosophical understandings of the term where for novelty to arise there must be some break in the repetition of the structure, this paper argues that it is possible for novelty to come about through small-scale experimentation. This is done by relying on the philosophical notion of ‘economy’ in order to (...) understand how we think about the world. In this regard, our thinking about the world depends upon acknowledging certain possibilities at the expense of others. History can then be seen as the distribution of emphasis which allows for these past possibilities and the future potentiality they may hold. Novelty, defined here as a rereading of history, is precisely the disruption of these possibilities and a challenge to the memory of the system. The conclusion to this paper argues that experimentation is an important means by which we can bring novelty into the world. (shrink)

This E-Special Issue collects together 11 articles from the archives of Theory, Culture & Society. These articles all articulate and debate the contribution of what some have described as either ‘complex complexity’ or ‘general complexity’. In contrast to reductionist or restricted attempts to understand complexity, the articles collected here move away from the tendency to assume mastery of complexity by expounding a set of universal and simple laws. Rather, the position of general complexity is that we cannot grasp the complexity (...) of the world in its complexity, and therefore depend upon models which are always incomplete, provisional and contingent. Yet, these models make knowledge and action possible, and it is therefore the contribution of general complexity to provide the means through which we can ethically and pragmatically engage with complexity in the hope of realizing alternative, perhaps better, worlds. (shrink)

En stor del av dagens forskningsaktivitet er knyttet til utvikling av ny teknologi. Teknologiutvikling anses gjerne som et gode, fordi den bidrar til økt eller ny bruk av naturlige ressurser til beste for menneskers generelle levekår og helse, samt miljøet og samfunnet som helhet. Bruk av ny teknologi innebærer imidlertid også risiko for uønskede effekter. Risikovurderinger er ofte preget av vitenskapelig usikkerhet, spesielt med hensyn til effekter som oppstår over tid. Denne usikkerheten reiser nye etiske dilemmaer og gjør det nødvendig (...) med en kritisk vurdering av kunnskapsgrunnlaget. I denne artikkelen fokuserer vi på hvilke etiske utfordringer vitenskapelig usikkerhet har for forskning og forvaltning, og vi vil se nærmere på bruk av DNA-vaksiner i oppdrettsnæring. Vi argumenterer for at det er viktig å anerkjenne kvalitative former for vitenskapelig usikkerhet, som går utover det som uttrykkes i statistiske termer. Walker & Harremoeës usikkerhetsanalyse presenteres som en metode for å identifisere og systematisere vitenskapelig usikkerhet av kvalitativ karakter. En slik analyse kan øke forskeres evne til å reflektere over og kommunisere usikkerhet knyttet til eget arbeid. Vi argumenterer videre for at kommunikasjon av vitenskapelig usikkerhet bør være en del av forskerens etiske ansvar, blant annet for å stimulere føre-var-basert forskning og forvaltning. En helhetsvurdering av nytte, risikomomenter og usikkerhet kan best oppnås gjennom en tverrfaglig tilnærming. Det vil bidra til at de implisitte verdiene som er assosiert til bruk av ny teknologi blir bedre belyst. (shrink)