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The majority of scholarly contributions in tourism social media have focused on assisting practitioners to optimize online platforms or to describe the digital behavior of prospective individual tourists. These studies are dominated by mechanistic ontological frameworks, which take little notice of the inherently social nature of tourism consumption. Acknowledging the sociality of Web 2.0 communications, this chapter explores the potentials of an alternative analytical framework informed by symbolic convergence theory. The linkages between tourism social media, virtual communities, and symbolic convergence processes are illustrated by examples of postings taking place on the Facebook fan site of Roskilde festival. These examples highlight the significance of symbolic communities in shaping the visitor experience against the backdrop of contemporary consumer culture.

This chapter seeks to explain how societal institutions, which may exist at the national or regional levels, shape the types of organizational learning predominating at the level of the firm. It focuses on education and training systems, and labour markets as key societal institutions shaping the micro-level processes of learning and knowledge creation within and between firms. The chapter argues that tacit knowledge, which is difficult to create and transfer in the absence of social interaction and labour mobility, constitutes a most important source of learning and sustainable competitive advantage in the knowledge economy. It looks at the cases of Japan, the high-technology clusters in the USA and U.K., and Denmark as illustrative examples.

In jam festival music scenes, participants build elaborate networks that connect members formally and informally between music events. Largely regional in scope, participants form these networks to develop and perform scene identities and cultivate intimate social relationships. Emerging through cultivated “crews” and “camps,” members build hubs of interaction that sustain and persist well beyond the festival event to create a vital sense of belonging and place. While the affective relationships formed at music festival events tend to be temporary, diffuse, and episodic, scene networks provide a “portable” interactional infrastructure that promotes relational continuity and persistence. These networks also provide more pragmatic benefits to networked members in the form of social and subcultural capital exchanged for symbolic and material rewards within the scene. Drawing from nearly 20 years of formal and informal participant observation in festival scenes, I provide an analysis of these networks and articulate common practices that drive their formation and continuation.

This chapter provides a comprehensive, yet, concise overview of the existing debates on policy networks. The aim of the chapter is to identify those mechanisms that encourage network collaboration among several stakeholders with different motivations, interests, and preferences throughout different stages of policy making from agenda setting to policy evaluation. A systematic review of previous studies on policy networks across various countries highlights the achievements and missing links in the literature, and at the same time, reveals three sets of causal mechanisms, which are crucial to understand Network Collaborative Capacity (NCC) along the structural, relational, and institutional dimensions. Structural and relational mechanisms explain the internal dynamics of a policy network; whereas institutional mechanisms consist of all those external factors in the broader political and economic environment within which the network is embedded. Structural, relational, and institutional mechanisms are further classified into constituting elements that serve as a blueprint for organizing and managing collaborative efforts at the network level. Ultimately this chapter contributes to the existing governance debates by offering an integrated framework for the study of NCC across country cases and policy sectors. Turkish health sector represents a case study to assess the applicability of this framework beyond the context of advanced industrialized economies and democracies with a tradition in collaborative policy making. Finally, the added value of comparative network analysis at the national and sub-national levels will be discussed.

Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.

This chapter is a transcript of an informal conversation between Jack Katz and Keith Hayward that took place in Rome in August 2019. It covers a number of subjects linked to Professor Katz’s academic career, as well as some personal biographical reflections on how his upbringing shaped his sociological thinking about the ‘seductive’ nature of crime and transgression. The chapter also discusses Professor Katz’s various contributions to qualitative research methodology (specifically ‘analytic induction’ and ‘social ontology’), before concluding with a summary of his latest research for the ‘Hollywood neighborhoods’ project and some brief thoughts about future research trajectories.