Abstract
Scientific communication holds a pivotal role within research institutions. This study establishes three distinct categories of indicators, tailored to the unique attributes of these institutions, aiming to assess their performance in scientific communication. Employing a rigorous two-stage data envelopment analysis (DEA) approach, we meticulously calculate output efficiency, feedback efficiency, and overall efficiency. Subsequently, we cluster the efficiency outcomes and delve into the factors that influence them. Drawing from the clustering insights and identified influencing factors, we formulate targeted scientific communication strategies tailored to the needs of these research institutions.
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