Journal ArticleDOI
Co-authorship networks and research impact: A social capital perspective
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In this article, the authors define six indicators of social capital (degree centrality, closeness centrality and betweenness centrality) and investigate how these indicators interact and affect citations for publications.About:
This article is published in Research Policy.The article was published on 2013-11-01. It has received 349 citations till now. The article focuses on the topics: Betweenness centrality & Centrality.read more
Citations
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Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy
Jiancheng Guan,Na Liu +1 more
TL;DR: In this article, the structural properties of knowledge and collaboration networks and their possible influences on organizational innovations in terms of exploitation and exploration in the emerging nano-energy field were explored. But, the results showed that the knowledge networks and the technology-based collaboration networks are decoupled and that they have different degrees of integration.
Journal ArticleDOI
Public sector knowledge management : a structured literature review
TL;DR: An overview of the state of public sector KM research is offered, several obstacles to developing a cohesive body of literature are found and academic researchers should re-think their methodological approach.
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The science of team science: A review of the empirical evidence and research gaps on collaboration in science.
Kara L. Hall,Amanda L. Vogel,Grace C. Huang,Katrina J. Serrano,Elise L. Rice,Sophia Tsakraklides,Stephen M. Fiore +6 more
TL;DR: This review summarizes the empirical findings from the SciTS literature, which center around five key themes: the value of TS, team composition and its influence on TS performance, formation of science teams, team processes central to effective team functioning, and institutional influences on TS.
Proceedings ArticleDOI
Text visualization techniques: Taxonomy, visual survey, and community insights
Kostiantyn Kucher,Andreas Kerren +1 more
TL;DR: An interactive visual survey of text visualization techniques that can be used for the purposes of search for related work, introduction to the subfield and gaining insight into research trends is presented.
Journal ArticleDOI
Marketing mix, customer value, and customer loyalty in social commerce: A stimulus-organism-response perspective
Ya-Ling Wu,Eldon Y. Li +1 more
TL;DR: This study develops a parsimonious model to explain the over-arching effects of SCMM components on CL in SC mediated by customer value and confirms that utilitarian, hedonic, and social values can be applied to online SC and that SCMM can be leveraged to achieve these values.
References
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Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
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Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Social Capital in the Creation of Human Capital
TL;DR: In this paper, the concept of social capital is introduced and illustrated, its forms are described, the social structural conditions under which it arises are examined, and it is used in an analys...
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Economic Action and Social Structure: The Problem of Embeddedness
TL;DR: In this article, the extent to which economic action is embedded in structures of social relations, in modern industrial society, is examined, and it is argued that reformist economists who attempt to bring social structure back in do so in the "oversocialized" way criticized by Dennis Wrong.
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Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.