The use of different data sources in the analysis of co-authorship networks and scientific performance

Stefano, Domenico De; Fuccella, Vittorio; Vitale, María Prosperina; Zaccarin, Susanna

doi:10.1016/j.socnet.2013.04.004

Cited by 84 publications

(73 citation statements)

References 43 publications

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“…There could be additional problems related to the bibliometric method of collecting publication data from online databases. For example, the author name disambiguation issue (such as homonymy and synonymity) makes the search for co-authorship information difficult and possibly inaccurate (Calero et al 2006;De Stefano et al 2013;Kang et al 2009). Additionally, online databases that collect information about journal articles and books fail to cover other types of scientific output, such as reports, monographs, and creative works (Hicks 1999).…”

Section: Collaboration and Scientific Disciplines Research Collaboratmentioning

confidence: 99%

Collaboration experiences across scientific disciplines and cohorts

2016

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Even though there is a rich discussion in the literature about co-authorship practices, many of the existing studies do not offer a dynamic picture of co-authorship patterns and experiences across disciplines. To address the research gap, our study aims to explore several key dimensions of the social dynamics in co-authorship practices. In particular, we examine cohort differences in collaboration patterns across disciplines and cohort differences in negative collaboration experiences across disciplines. To conduct our analyses, we use data from a national survey of scholars and engineers in 108 top research universities. Our results indicate that the number of collaborators at one's own university is correlated with an increase in negative collaboration experiences, while an increase in collaborators at other universities is not correlated with an increase in negative collaboration experiences. In addition, we conclude that junior scholars are more likely to have negative collaboration experiences than their senior peers. This result is true even after controlling for gender and discipline.

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Section: Collaboration and Scientific Disciplines Research Collaboratmentioning

confidence: 99%

Collaboration experiences across scientific disciplines and cohorts

2016

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“…Social network theory, developed by Western management scholars, has been widely applied to investigate the importance of personal or organizational connections in business activities [15,16]. In the context of Chinese management, some scholars also employ social network theory to analyze how personal or organizational connections affect business operations [14,17].…”

Section: Guanxi Strategy Theorymentioning

confidence: 99%

Can High-Tech Ventures Benefit from Government Guanxi and Business Guanxi? The Moderating Effects of Environmental Turbulence

Sohn

et al. 2017

Sustainability

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Abstract:The construct of guanxi has become an interesting topic for analyzing how to do business more effectively and successfully in China's economic transition period. Drawing on the guanxi strategy theory, this study examines when government guanxi (guanxi with the government and its officials) and business guanxi (guanxi with the business sectors) matter to new venture performance under two typical turbulent environments (institutional turbulence and market turbulence). According to empirical results using original data from 146 new ventures in clusters driven by China's local governments, both government guanxi and business guanxi were positively related to new venture performance, and market turbulence was an important contextual factor influencing performance benefits of guanxi. However, the results reveal no moderating effects of institutional turbulence on direct relationships. Furthermore, the study provides a better conceptual and empirical understanding of why market turbulence is a double-edged sword for performance implications of guanxi in the rapidly changing business environment.

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“…In collaborative activities, researchers share their ideas to increase the quality of their research and to use each other's specialized skills and benefit from the synergy of teamwork. ( Stefano, Fuccella, Vitale, & Zaccarin, 2013). Given this trend, the study of the collaboration rate of authors has become an interesting topic in scientometrics.…”

Section: A Survey Of the Collaboration Rate Of Authors In The E-learnmentioning

confidence: 99%

A Survey of the Collaboration Rate of Authors in the E-Learning Subject Area over a 10-Year Period (2005-2014) Using Web of Science

Mohammadi

Asadzandi

Malgard

2017

IRRODL

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Partnership is one of the mechanisms of scientific development, and scientific collaboration or coauthorship is considered a key element in the progress of science. This study is a survey with a scientometric approach focusing on the field of e-learning products over 10 years. In an Advanced Search of the Web of Science, the following search formula was used: TS=("m-learning" OR "mlearning" OR "mobile learning" OR "online learning" OR "virtual learning" OR "distance learning" OR "electronic learning"). The study was limited to [2005][2006][2007][2008][2009][2010][2011][2012][2013][2014], and the document type was limited to paper. A total of 4292 documents were found, to which 12362 authors contributed. The articles were evaluated individually and their information was entered into Microsoft Office Excel 2007 for analysis using the collaborative coefficient formula. In the Computers and Education journal, articles with two authors are the most frequent. The United States, with the highest production of articles in the field of e-learning, tends to produce articles with two authors. In 2014, the most productive year, articles with three authors were more frequent. The highest collaborative coefficient is in 2005 and 2014. Our findings show that despite the need for research activities as a team, the authors in the field of e-learning tend to publish their papers alone or in a team of two.

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The use of different data sources in the analysis of co-authorship networks and scientific performance

Cited by 84 publications

References 43 publications

Collaboration experiences across scientific disciplines and cohorts

Collaboration experiences across scientific disciplines and cohorts

Can High-Tech Ventures Benefit from Government Guanxi and Business Guanxi? The Moderating Effects of Environmental Turbulence

A Survey of the Collaboration Rate of Authors in the E-Learning Subject Area over a 10-Year Period (2005-2014) Using Web of Science

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