The Diversity of Fisheries Based Livelihoods in the Berau Delta, East Kalimantan

Fisheries based livelihoods in the Berau Delta are diverse. The everyday life of small-scale fishers shows that gear diversification, changing fishing gear over a lifetime and practical knowledge to access good fishing grounds in the rich coastal waters are the main livelihood strategies developed by fishers. Fishing practices in the coastal frontier of Berau are influenced by the Bugis habitus of patronage networks between the punggawa and the dependent fishers. An essential element in the decision making of fishers is their embeddedness in political-economic patronage networks as the result of values, interests and knowledge contestations. Livelihood trajectories of different fishers from various classes confirm that as social actors, whether rich or poor, they have the agency to search for better livelihoods

The Diversity of Fisheries Based Livelihoods in the Berau Delta, East Kalimantan

Fisheries based livelihoods in the Berau Delta are diverse. The everyday life of small-scale fishers shows that gear diversification, changing fishing gear over a lifetime and practical knowledge to access good fishing grounds in the rich coastal waters are the main livelihood strategies developed by fishers. Fishing practices in the coastal frontier of Berau are influenced by the Bugis habitus of patronage networks between the punggawa and the dependent fishers. An essential element in the decision making of fishers is their embeddedness in political-economic patronage networks as the result of values, interests and knowledge contestations. Livelihood trajectories of different fishers from various classes confirm that as social actors, whether rich or poor, they have the agency to search for better livelihoods

Tacit knowledge, embedded agency and learning: local nodes and global networks

Tacit knowledge, embedded agency and learning: local nodes and global network

What lies beneath? The role of informal and hidden networks in the management of crises

Crisis management research traditionally focuses on the role of formal communication networks in the escalation and management of organisational crises. Here, we consider instead informal and unobservable networks. The paper explores how hidden informal exchanges can impact upon organisational decision-making and performance, particularly around inter-agency working, as knowledge distributed across organisations and shared between organisations is often shared through informal means and not captured effectively through the formal decision-making processes. Early warnings and weak signals about potential risks and crises are therefore often missed. We consider the implications of these dynamics in terms of crisis avoidance and crisis management

How do teachers exercise relational agency for supporting migrant students within social networks in schools from Scotland, Finland, and Sweden?

This study examines how teachers exercise relational agency - working flexibly with other actors in their social networks to support migrant students. Teachers and other staff members from 7 schools in Scotland, Finland and Sweden participated in social network surveys (n = 1116), online logs (n = 275) and interviews (n = 82). A mixed-method social network analysis shows how networks facilitate relational agency as teachers reach out to others to mobilise resources and tacit knowledge within their school communities. The findings point to the critical role of professional collaboration and suggest that social networks shape how teachers work with specialists to support migrant students.</p

The social dynamics of innovation networks

The social dynamics of innovation networks captures the important role of trust, social capital, institutions and norms and values in the creation of knowledge in innovation networks. In doing so, this book connects to a long-standing debate on the socio-spatial context of innovation in economic geography, which is usually referred to as the Territorial Models of Innovation (TIMs) literature.\ud \ud This present volume breaks with the TIM literature in several important ways. In the first place, this book emphasizes the role of individual agency because individuals and their networks are increasingly recognized as the principal agents of knowledge creation. Secondly, this volume looks at space as a continuous field of opportunity rather than as bounded territory with a set of endowments, such as knowledge base and social capital. Although individually these elements are not new to the TIM literature, it has thus far failed to grasp their critical implication for studying the social dynamics of innovation networks.\ud \ud The approach to the socio-spatial context of innovation in this volume is summarized as Knowledge Economy 2.0. It emphasizes that human creativity is now the main source of economic value and that human creativity and knowledge creation is not an organized process within organizations, but happens bottom up in formal and informal professional and social networks of individuals that cut across multiple organization

An Electronic Market Space Architecture Based On Intelligent Agents And Data Mining Technologies

This paper presents an overview of current trends in electronic Business (E-Business), and discusses how an enterprise can use the Electronic Market space based on intelligent agents and data mining techniques to its strategic advantage. We define an agency as a multi-agent system created by integrating agents, selected from a library of reusable agents that have formed a federation. A federation of agents comprises of a set of registered agents, witch are themselves complete knowledge-based system [1].multi-agent system, e-business, data mining, artificial neural networks

Structural holes, knowledge intermediaries and evolution of the triple helix system with reference to the hard disk drive industry in Thailand

This article explores the evolutionary process underlying the development of the triple helix innovation system and the role of knowledge intermediaries in the process. It draws on the experience of knowledge network development in an SME cluster in the Thai hard disk drive industry. Conceptually, the evolutionary process starts with inter-firm networks, which occur in the form of supply chain-based vertical links and trade association or cluster-based horizontal links. These evolve into triple helix networks and culminate into the triple helix innovation system through the agency of network dynamics. Intermediaries enhance network development as sponsors, providing funds; as brokers, closing and bridging structural holes that disconnect network players; and as boundary spanners, facilitating knowledge circulation. The case study suggests that knowledge network development in Thailand has a long way to go before morphing into the triple helix innovation system. Some evidence of network dynamics was nonetheless detected; but for lack of trust in the triple helix culture the fledgling network dynamics fizzled out when the government prop, which initiated the process, was withdrawn. The article concludes by highlighting the need for policy to promote the culture of trust among network players and for knowledge intermediaries to be robustly systemic in their organization and operation

Innovative interventions in support of innovation networks. A complex system perspective to public innovation policy and private technology brokering

The linear model of innovation has been superseded by a variety of theoretical models that view the innovation process as systemic, complex, multi-level, multi-temporal, involving a plurality of heterogeneous economic agents. Accordingly, the emphasis of the policy discourse has shifted over time. It has gone from a focus on direct public funding of basic research as an engine of innovation, to the creation of markets for knowledge goods, to, eventually, the acknowledgement that knowledge transfer very often requires direct interactions among innovating actors. In most cases, these interventions attempt to facilitate the match between “demand” and “supply” of the knowledge needed to innovate. A complexity perspective calls for a different framing, one focused on the fostering of process characterized by multiple agency levels, multiple temporal scales, ontological uncertainty and emergent outcomes. The article explores what it means to design interventions in support of innovation processes inspired by a complex systems perspective. It does so by analyzing two different examples of coordinated interventions: an innovative public policy funding networks of innovating firms, and a private initiative supporting innovation in the mechanical engineering industry thanks to the set up of a technology broker. Relying on two unique datasets recording the interactions of the various organizations involved in these interventions, the article combines social network analysis and qualitative research in order to investigate the dynamics of the networks and the roles and actions of specific actors in fostering innovation processes. Building upon this comparative analysis, some general implications for the design of coordinated interventions supporting innovation in a complexity perspective are derived.Innovation policy; local development policies; regional development policies; evaluation management

Governance and strategy of entrepreneurial networks: an introduction

This special issue focuses on empirical and theoretical papers that help us to better understand the strategy and governance of entrepreneurial networks, such as franchise chains, alliances, and cooperative networks. The following central themes are covered: (I) Which formal governance mechanisms do entrepreneurial networks use in order to reduce transaction cost/agency cost and to increase strategic value? (II) What is the role of relational governance mechanisms (such as information exchange and social ties) for the performance outcomes in franchise chains and cooperatives? (III) Which alliance strategies do entrepreneurial firms pursue to realize a competitive advantage, and what is the impact of resources and capabilities on performance outcomes of entrepreneurial firms. To address these issues, insights from organizational economics (transaction cost theory, agency theory, signaling theory), strategic management perspectives (resource-based, knowledge-based and organizational capabilities theory), entrepreneurship theory and the relational governance view are used