Dissemination, Publication, and Impact of Finance Research: When Novelty Meets Conventionality*

Rui Dai, Lawrence Donohue, Qingyi (Freda) Drechsler and Wei Jiang

Review of Finance, 2023, vol. 27, issue 1, 79-141

Abstract: Using numeric and textual data extracted from over 50,000 finance articles in Social Science Research Network (SSRN) during 2001–19, we examine the relationship between measured qualities and a paper’s readership, eventual outlet, and impact. Conventionality (semantic similarity with existent research) helps boost readership and publication prospects. However, novelty in the forms of emerging topics and databases are associated with better publishing outcomes. Studies that do not easily map into established finance subfields or that introduce nonfinance elements face a higher hurdle. Finally, papers whose research questions span multiple fields are a hard sell, but those building on prior knowledge from multiple fields are valued.

Keywords: Finance research; Impact; Publication; Innovation; Machine learning; Textual analysis (search for similar items in EconPapers)
JEL-codes: A14 D85 G00 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (3)

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