Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles

Liang, Guoqiang; Hai-yan, Hou; Qiao, Chunming; Hu, Zhigang

doi:10.1007/s11192-020-03478-6

Cited by 7 publications

(2 citation statements)

References 37 publications

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“…Under these circumstances, the forms of collaboration between scientists are equally important to the development of innovation, for instance in facilitating the efficient division of labor and thus allowing novel combinations of specialized knowledge to 1 emerge (Fontana et al 2020; Wang/Veugelers/Stephan 2017). For example, recent research indicates a co-emergence of collaborative networks and new paradigms, thus describing how innovation diffuses (Liang et al 2020). Yet, concurrently, most contemporary research focuses on the prerequisites for innovative research, the generation of scientific breakthroughs, and the processes of diffusion that immediately follow.…”

Section: Formen Der Forschungskooperation Und Die Konsolidierung Sozi...mentioning

confidence: 99%

Types of Collaboration and the Consolidation of Sociological Research Evidence from publications in five German sociology journals 2000–2019

Wieczorek,

Schmitz,

Volle

et al. 2024

Career Paths Inside and Outside Academia

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Research innovation can be fostered under the right circumstances, which include high levels of research autonomy, opportunities for collaborative research, and an open-minded research community able to combine innovation with more conventional lines of research. In the literature, different types of collaboration and team composition are linked to innovation. However, little is known about the association between collaborative research and the consolidation of thought products, innovative or not. We address this research gap based on 2,785 abstracts and 352 'thought products' (theories, methods, research topics) extracted from five German language sociology journals included in Scopus and published between 2000 and 2019. We apply a diachronic research strategy and combine correspondence analysis for topic extraction, network analysis to account for the embeddedness of scholars, and OLS regression to investigate which of the factors present in 2000-2003 are responsible for the consolidation of thought products in 2016-2019. We find that a focus on applied topics (such as management or governance) is positively linked to the consolidation of research. Furthermore, concepts used and disseminated by well-connected scholars between 2000 and 2003 tend to become peripheral over time. Finally, we establish a negative association between concepts used by female scholars and the consolidation of these concepts.

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Section: Formen Der Forschungskooperation Und Die Konsolidierung Sozi...mentioning

confidence: 99%

Types of Collaboration and the Consolidation of Sociological Research Evidence from publications in five German sociology journals 2000–2019

Wieczorek,

Schmitz,

Volle

et al. 2024

Career Paths Inside and Outside Academia

View full text Add to dashboard Cite

show abstract

“…Previous studies (Hambrick et al 1982;Özemre et al 2020;Liang et al 2020) have applied this matrix to management and business and discussed its application in scientific research decision-making and evaluation. Based on the principle of the BCG-M, scientists are divided into four quadrants in Fig.…”

Section: Analysis Of the Individual Influence Trajectory Based On The...mentioning

confidence: 99%

Research on dynamic evaluation method of individual scientific impact under multiple key nodes

2023

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Introduction. The purpose of this paper is to research an evaluation method for the development trend of the scientific impact of individual scientists before and after different key nodes in scientific careers. Method. This paper focuses on scientists at universities in Shanghai who obtained their first key programmes from the National Natural Science Foundation of China (NSFC) from 2011 to 2015. A two-node piecewise linear regression is used to divide the scientists’ individual academic trajectories. The Boston Consulting Group matrix (BCG-M) model is used to propose four types of talent. Analysis. The pr(y)-index is applied to evaluate the scientists’ impact. Several characteristics of the trajectory of the impact of individual scientists are defined by the change in the pr(y)-index growth rate. Results. The scientific impact of most scientists (66% and 62%) increased after they first obtained NSFC funding or their first key programme, respectively. The pr(y)-index of a 5-year time window is more sensitive to judge the of influence on scientific career. Conclusion. The two-node piecewise linear regression model successfully divided the academic trajectories of individual scientists into three stages。NSFC funding promotes academic influence. The talents are divided into star talent, focus talent, question talent and taurus talent.

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Revisiting the disruptive index: evidence from the Nobel Prize-winning articles

2022

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Diffusion and adoption: an explanatory model of “question mark” and “rising star” articles

Cited by 7 publications

References 37 publications

Types of Collaboration and the Consolidation of Sociological Research Evidence from publications in five German sociology journals 2000–2019

Types of Collaboration and the Consolidation of Sociological Research Evidence from publications in five German sociology journals 2000–2019

Research on dynamic evaluation method of individual scientific impact under multiple key nodes

Revisiting the disruptive index: evidence from the Nobel Prize-winning articles

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