 New components and combinations: The perspective of the internal collaboration networks of scientific teamsWei Chen and Yan Yan Journal of Informetrics, 2023, vol. 17, issue 2 Abstract: New knowledge arises from the emergence of new knowledge elements and new combinations of knowledge elements. In this study, the new knowledge generated through these two methods is called new components and combinations. The effect of a team-level internal collaboration network on these two knowledge-creation processes remains unknown. To fill this gap, we examined the effects of the new author combinations (new ties) and network faultlines (tie balance) of a scientific team on the number of new components or combinations using the ordinary least squares method with 14695 blockchain paper data between 2013 and 2021 from the Web of Science database. The new components or combinations of a paper refer to keywords or keyword pairs that have never appeared in a research field. We observed that new author combinations positively influence the creation of new components and combinations, whereas network faultlines negatively influence them. In addition, the coauthorship experience of team members negatively moderated the aforementioned four relationships. Keywords: Internal collaboration network; Scientific teams; Knowledge creation; New components; New combinations; Blockchain (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:infome:v:17:y:2023:i:2:s1751157723000329 DOI: 10.1016/j.joi.2023.101407 Access Statistics for this article Journal of Informetrics is currently edited by Leo Egghe More articles in Journal of Informetrics from Elsevier |
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