How do academic gatherings promote knowledge production and dissemination?

IF 3.4 2区 管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Li Hou , Ruilu Yang
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引用次数: 0

Abstract

Academic gatherings, such as conferences, are one of the most important types of activities in academia, yet they are understudied in the literature. Using a sample of 5379 articles published between 2000 and 2019 in the top five Economics journals, we identify whether the article was presented in academic gatherings based on wording in the paper's Acknowledgement sections, and explore its effect on citations. We find that papers acknowledging academic gatherings are associated with higher citations, and this relationship is mediated by a broader knowledge base and the more attention; that is, acknowledging academic gatherings corresponds to the paper having a broader knowledge base and being viewed more frequently, thus receive higher citations. We also find that papers authored by junior scholars with limited knowledge, skills, and experience benefit more from academic gatherings than those by senior scholars. Our findings deepen the understanding of academic gatherings and knowledge production and dissemination.
学术会议等学术集会是学术界最重要的活动类型之一,但文献对其研究不足。我们以 2000 年至 2019 年间发表在五大经济学期刊上的 5379 篇文章为样本,根据论文 "致谢 "部分的措辞识别文章是否在学术集会上发表,并探讨其对引用率的影响。我们发现,鸣谢学术集会的论文与更高的引用率相关,而这种关系是以更广泛的知识基础和更高的关注度为中介的;也就是说,鸣谢学术集会相当于论文拥有更广泛的知识基础和更高的浏览频率,从而获得更高的引用率。我们还发现,与资深学者的论文相比,知识、技能和经验有限的初级学者的论文从学术集会中获益更多。我们的发现加深了人们对学术集会和知识生产与传播的理解。
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来源期刊
Journal of Informetrics
Journal of Informetrics Social Sciences-Library and Information Sciences
CiteScore
6.40
自引率
16.20%
发文量
95
期刊介绍: Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
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