Utilizing network-based content analysis methodologies, this study examined 316,594 hyperlinks and 60,378 headlines culled from 20 elite, partisan political blogs through 10 months of the U.S. 2012 presidential year for evidence of partisan selective exposure in blog production practices. Hyperlinks reveal dense intra-interconnectivity among progressive blogs as opposed to conservative blogs. Elite, traditional media sources operated as bridges between spheres that otherwise tended to partisan selective exposure in their partisan source linking practices toward congenial media. Headline network text analysis revealed divergent issue and people agendas promoted between both partisan blog networks, providing very strong evidence for the operation of partisan selective exposure in the emergent content practices of these elite producer publics across the 2012 U.S. presidential year. Adapted from the source document.
In the existing literature on trade theory, relatively few attempts have been made to address the theme of communications networks and the role of time zones. The book illustrates, with simple models of international trade, how the introduction of communications networks and the utilization of time zone differences can affect both the structure of international trade and world welfare. Other technological aspects of recent international trade (e.g., competition between international standards, the impact of switching costs on imported products' introduction) are also examined
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In the present investigation, an analysis of the situation of the main coffee organizations characterized as associative structures is carried out, based on a thread at their level of organization that seeks to optimize their knowledge, articulation and internal improvement actions entailed from the objective oriented in the knowledge transfer based on innovation networks and their influence on information management in coffee producers in the province of Utcubamba - Amazonas - Peru. With the change management proposal within a corporate project supported by procedures and innovation networks, it is expected to promote positive externalities in the business model. What is proposed is instituted through an applied-basic type analysis, approached with the contrasting technique - explanatory with a succession design. As a result, within this process, key elements are articulated such as: knowledge, information and communication, strong identity and coordination and articulation rules, trust in sharing knowledge, information and communication technologies (ICT), linked to networks. That allow strengthening the Local Support Network by identifying its strategic competencies. As a conclusion, it was possible to demonstrate the importance of institutional support from public policies, the structural characteristics that innovation networks must have and actions to develop human capital, a vision of the structural, relational and organizational approach. That allow strengthening the Local Support Network by identifying its strategic competencies. As a conclusion, it was possible to demonstrate the importance of institutional support from public policies, the structural characteristics that innovation networks must have and actions to develop human capital, a vision of the structural, relational and organizational approach. That allow strengthening the Local Support Network by identifying its strategic competencies. As a conclusion, it was possible to demonstrate the importance of institutional support from public policies, the structural characteristics that innovation networks must have and actions to develop human capital, a vision of the structural, relational and organizational approach.
Abstract The aims of this research is to contribute to the literature and the conceptual model of the effect of relational capital on network advantage and business performance, the effect of network competence on network advantage and business performance, the effect of knowledge sharing on network advantage and business performance and the effect of network advantage and business performance. The number of samples in this study examined was 289 sample SMEs Furniture on Central Java Indonesia. The purposive sampling technique was used to the data collection methods. The results of this study showed that relational capital is a significant negative effect on business performance and positive significance on network advantage. Network competence is a significant effect on business performance and negative impact on network advantage. Network competency is a significant effect on business performance and network advantage. Relational capabilities is a significant effect on business performance and network advantage. Network advantage is a significant effect on business performance.
Talk given in the session 212 "Network Analysis for Medieval Studies, II: The Dynamics of Medieval Political and Personal Networks" at the IMC 2018 in Leeds.
AbstractPublished in 1997, the article "Treating Networks Seriously: Practical and Research‐Based Agendas in Public Administration" outlined the importance of networks for the field of public administration and suggested a series of research agendas that should be pursued. That argument has received substantial attention in the years since. Research on networks and networking has made substantial progress, particularly on some questions—the descriptive agenda, for instance, and some aspects of the practical agenda. However, considerable work remains to be done. More needs to be known about the ways in which networks and networking behavior can shape performance and affect the most salient values in our governance systems; better empirical theory is also needed in this regard. Such further developments would be of immense value to the practice of public administration. The world of public administration has for some time been treating networks seriously, but the work is far from complete.
PurposeA particular feature that makes foresight powerful is its capability to learn from past trends to help guide decision‐making for future policy. However, in studying both past and future trends, network perspectives are often missing. Since networks are capable of revealing the structure that underpins relationships between stakeholders, key issues and actions in the past, they are powerful to help envisage the future. The purpose of this paper is to propose a methodological framework to incorporate network analysis in foresight.Design/methodology/approachThe paper develops a generic framework to incorporate network analysis into foresight's five stages. Trends identified by respondents of the Big Picture Survey are used to demonstrate how we operationalize this framework.FindingsA network perspective can enrich foresight analysis in that it helps reveal structural linkages between trends and thus can better identify emerging future issues, both of which are critical in foresight.Research limitations/implicationsThe inclusion of network analysis can shed light on the process of understanding complex data and assist in building a model based on links and relationships. Network analysis can reveal otherwise unobservable structural features of the data and can help boundary setting discussions in foresight.Practical implicationsNetwork concepts and measures could usefully enrich the interpretation of foresight data for further analysis, or plausible scenarios.Originality/valueNetwork analysis offers a new way of looking at the foresight data by disentangling complicated issue webs. As shaping the future becomes more essential because of the complexity of science, technology and society interrelationships, the incorporation of network perspectives in foresight might be one of the ways to propel future studies.
Real-world supply chains and networks are inherently complex, formed by a large number of self-governing interconnected agents which dynamically update their behavior rules and connections based on context and environment changes. Oftentimes, these complex systems fail, almost inexplicably, due to unforeseen events leading to disruption. Exploration and research of the mechanisms behind the failure of supply chains and networks have revealed that those capable of surviving are not only robust, but resilient. The purpose of this book is to explain the meaning of resilience and its design in the broad context, and with a focus on the design and management of supply chains and supply networks. Written by Dr. Reyes Levalle, an experienced supply chains designer and supply networks engineer, the book is intended for beginners and advanced professionals, students, designers, policy makers, and managers. It is a pioneering effort to base resilience engineering and management on CCT, the collaborative control theory and tools.
