Akademik İçten Beslenmenin İşbirlikerine Etkisi

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Date
2025Author
Tekin, Haydar
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This study aims to investigate the impact of academic inbreeding on collaborations across
different fields. Using data from Hacettepe University and TED University, the research
focuses on the relationship between academic inbreeding groups and collaboration
groups, as identified in the literature. To examine this relationship, the study utilized the
current academic staff lists of both universities and the publication lists of full articles,
short articles, and reviews published by these staff members between 2018 and 2022.
The academic inbreeding statuses of the staff and their collaborative efforts were
classified in detail. The classifications were informed by both the existing literature and
findings from a pilot study conducted as part of this research.
The study seeks to answer how academic inbreeding affects collaborations at national
and international levels while also uncovering the dynamics of collaboration within
different inbreeding groups. The impact of academic inbreeding is examined across a
wide spectrum of collaborations, from those within the same university and department
to international partnerships. Collaborations are analyzed both at an individual level and
across academic disciplines, considering the inbreeding profiles of researchers.The
findings reveal that the collaboration patterns of both universities are influenced by the
inbreeding profiles of their academic staff, though the nature of this influence differs
between the two institutions. The effects of academic inbreeding and collaborations vary
across fields such as engineering, natural sciences, social sciences, and humanities. In
terms of international collaborations, while differences in academic inbreeding profiles
among staff exist, these differences do not lead to significant variations in the
collaborations themselves.The study offers recommendations for mitigating or eliminating
academic inbreeding and its effects. It is believed that the findings will contribute
significantly to the development of strategies that promote academic productivity and
innovation.