Good luck isn’t just chance—it can be learned and leveraged—and The Serendipity Mindset explains how you can use serendipity to make life better at work, at home—everywhere. Many of us believe that the great turning points and opportunities in our lives happen by chance, that they’re out of our control. Often we think that successful people—and successful companies and organizations—are simply luckier than the rest of us. Good fortune—serendipity—just seems to happen to them. Is that true? Or are some people (...) better at creating the conditions for coincidences to arise and taking advantage of them when they do? How can we connect the dots of seemingly random events to improve our lives? In The Serendipity Mindset, Christian Busch explains that serendipity isn’t about luck in the sense of simple randomness. It’s about seeing links that others don’t, combining these observations in unexpected and strategic ways, and learning how to detect the moments when apparently random or unconnected ideas merge to form new opportunities. Busch explores serendipity from a rational and scientific perspective and argues that there are identifiable approaches we can use to foster the conditions to let serendipity grow. Drawing from biology, chemistry, management, and information systems, and using examples of people from all walks of life, Busch illustrates how serendipity works and explains how we can train our own serendipity muscle and use it to turn the unexpected into opportunity. Once we understand serendipity, Busch says, we become curators of it, and luck becomes something that no longer just happens to us—it becomes a force that we can grasp, shape, and hone. Full of exciting ideas and strategies, The Serendipity Mindset offers a clear blueprint for how we can cultivate serendipity to increase innovation, influence, and opportunity in every aspect of our lives. (shrink)

The Humanities have much to offer 21st-century Europe, in terms of both method and issues which may complement and correct those of Science and Social Science. These include, for instance, humanities' generation of plural narratives and plural explanations, of attention to singularity and complexity, and to others' sensibilities and ways of knowing. These disciplines provide higher order skills needed to engage and engage with the New Europe — rhetorical and communication skills, networked knowledge sharing, responsive and responsible citizenship. In interdisciplinary (...) partnership with `hard' science research, the Humanities can offer ways of dealing with particularity and imagination, with issues of identity and sensibility, with encountering the other. At the same time, the humanities' own complex interpretative narratives and ability to generate and cope with complexity are vitalizing and enabling in a fearful, complex and supercomplex world. (shrink)

In this article we explore the possibility of viewing complex systems, as well as the models we create of such systems, as operating within a particular type of economy. The type of economy we aim to establish here is inspired by Jacques Derrida’s reading of George Bataille’s notion of a general economy. We restrict our discussion to the philosophical use of the word ‘economy’. This reading tries to overcome the idea of an economy as restricted to a single logos or (...) master narrative. At the same time, however, Derrida illustrates that we always operate from a restricted framework and as such something will always escape and interrupt our understanding of the world. In this paper we will propose that one could use Derrida’s reading of Bataille, along with notions such as différance, in order to move towards an understanding of complex systems as existing within certain sets of possibilities and constraints. We argue that this view of an economy agrees with the work of Edgar Morin on complexity and his conceptualization of general complexity. (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)

It is now widely accepted that qualitative and quantitative research traditions, rather than being seen as opposed to or in competition with each other should be used, where appropriate, in some kind of combination. How this combining is to be understood ontologically, and therefore epistemologically, however, is not always clear. Rather than endlessly discussing the relationship between different approaches, this paper explores some of the assumptions of the ontologies that underpin such apparent differences, arguing that approaches which declare themselves to (...) be distinct theoretically are often surprisingly similar methodologically. It is argued that dominant ontologies and epistemologies struggle with the conceptualisation and representation of particularity, difference, process, interactions through time, multiple and de-centred forms of causation, and dynamic structure. Complexity/dynamic systems theory is then introduced and examined for its potential to offer the basis of a different kind of ontology: one which is able not only to accommodate these things, but which is itself based upon them. In conclusion, the implications of this perspective are discussed in relation to the problems that have been identified, particularly in relation to the conceptualisation of 'context'. (shrink)

It is now widely accepted that qualitative and quantitative research traditions, rather than being seen as opposed to or in competition with each other ( ; ) should be used, where appropriate, in some kind of combination (; ). How this combining is to be understood ontologically, and therefore epistemologically, however, is not always clear. Rather than endlessly discussing the relationship between different approaches, this paper explores some of the assumptions of the ontologies that underpin such apparent differences, arguing that (...) approaches which declare themselves to be distinct theoretically are often surprisingly similar methodologically. It is argued that dominant ontologies and epistemologies struggle with the conceptualisation and representation of particularity, difference, process, interactions through time, multiple and de‐centred forms of causation, and dynamic structure. Complexity/dynamic systems theory is then introduced and examined for its potential to offer the basis of a different kind of ontology: one which is able not only to accommodate these things, but which is itself based upon them. In conclusion, the implications of this perspective are discussed in relation to the problems that have been identified, particularly in relation to the conceptualisation of ‘context’. (shrink)

Many methods are used in research on complexity. One of these is qualitative comparative analysis. Although many authors allude to the relationships between complexity and QCA, these links are rarely made explicit. We propose that one way of doing so is by using critical realism as a meta-framework. This article discusses the viability of this approach by examining the extent to which QCA is a complexity-informed method. This question is answered in three steps. First, we discuss the nature of complexity (...) and its epistemological implications. Second, we focus on Bhaskar’s perspective on critical realism and show how it can be used as a framework for understanding social complexity. Third, we examine the ontological and epistemological assumptions underlying QCA and synthesize these with our critical realist approach to complexity. We argue that complex reality is non-decomposable, contingent, non-compressible and time-asymmetric. We conclude that, although QCA is inevitably reductive and partial, its core premises are built upon the notions of contingency and time-asymmetry. Therefore, it is not only a powerful method for doing complexity-informed research, but is also a complexity-informed method by itself. (shrink)

When we deal with complex things, like human subjects or organizations, we deal with identity – that which makes a person or an organization what it is and distinguishes him/her/it from other persons or organizations, a kind of “self”. Our identity determines how we think about and interact with others. It will be argued in this chapter that the self is constituted relationally. Moreover, when we are in the realm of the self, we are always already in the realm of (...) engaging with and mediating differences – the realm of ethics. The position which will be developed argues that approaching identity as a complex system allows us to resist thinking of identity as an easily identifiable and static entity. Identity is always being constituted within a complex and contingent world, where we have to make choices based on contingent values rather than on universal knowledge or the outcome of rational calculations. As a result, we have to keep in mind that our daily practices always already have an ethical component, and our decisions need to be continually evaluated and re-evaluated in the light of our (and others’) varying identities. (shrink)

Critical realists offer a set of philosophical underpinnings for social research. Critical realists also engage constructively with social theory, but they are more than just theorists. In this chapter I list and describe various innovative methodological contributions made in recent years by realists. I point out ways in which research methods (i.e. techniques) fit with particular methodological assertions. There is a historical legacy of empiricism which critical realists often use as a foil to make their own position more clear. However, (...) among realists, a wide variety of methods are used, and the range of realist methodological assumptions is wider than one might expect because of their efforts to work with social theory.The introduction to the chapter covers ontology as it relates to research methods. The second section of the review introduces retroduction, a major methodological starting-point common to most realists. The third section reviews concretely the realist debate over statistics and some realist contributions to qualitative methodology, qualitative methods, and action research as used by realists. The fourth section takes up the challenge of realist claims about knowledge (debates usually known as epistemology). An important aim in this chapter is to argue that 'factual' statements usually embody layers of meaning, and thus are contestable; that enquiry using quantitative methods can coherently be done from a realist perspective; and that among realists qualitative enquiry is a broad and useful set of methods which have made genuine innovations in methodological knowledge. Meta-critique and pluralism are widely-used realist contributions to the methods tool-basket in social science, and the realist approach to social statistics is a much better guide to how statistics is, in practice, done than any currently available empiricist quantitative textbook (Ron, 2002). However 'quantitative' research always rests upon conceptual, theoretical and qualitatively derived frameworks and therefore is derived from qualitative work, whereas the converse is not true; qualitative research does not require any quantitative research. In the current scene, mixed methods also play a key role as a growing area of research methods. In this way, within sections one and two, the reader is given an overview of Volume 1 of this collection. Sections two and three of this chapter review Volumes 2 and 3 (realist methods, and empirical examples, respectively). Section four reviews the epistemological theme that is at the core of Volume 4. This introduction thus roughly parallels the contents of the rest of the volumes. (shrink)