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  Like Stars: How Firms Learn at Scientific Conferences

Baruffaldi, S. H., & Poege, F. (2024). Like Stars: How Firms Learn at Scientific Conferences. Management Science. doi:10.1287/mnsc.2022.01373.

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Also published as: Max Planck Institute for Innovation & Competition Research Paper No. 20-10
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 Creators:
Baruffaldi, Stefano Horst1, Author           
Poege, Felix1, Author           
Affiliations:
1MPI for Innovation and Competition, Max Planck Society, ou_2035292              

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Free keywords: science ; corporate science ; conferences ; learning ; innovation
 Abstract: Scientific conferences are an underexplored channel by which firms can learn from science. We provide empirical evidence that firms learn from scientific conferences in which they participate but also that this is conditional on intense participation. Using data from conference papers in computer science since the 1990s, we show that corporate investments in participation are both frequent and highly skewed, with some firms contributing to a given conference scientifically, some as sponsors, and some doing both. We use direct flights as an instrumental variable for the probability that other scientists participate in the same conference as a firm, altering the knowledge set to which the firm is exposed. We find that a firm’s use of scientists’ knowledge increases when they participate in the same conferences. Greater participation efforts, where the firm seeks the spotlight by both sponsoring the conference and contributing to its scientific discourse, foretell research collaborations and a stronger learning effect. Such learning is disproportionately concentrated among the most prominent firms and scientists rather than benefitting those without alternative interaction channels. Therefore, on average, firms learn from scientists that they encounter at conferences, but the substantial heterogeneity of the effect reflects the influence of reputation mechanisms in social interactions.

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Language(s): eng - English
 Dates: 2024-05-24
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1287/mnsc.2022.01373
 Degree: -

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Title: Management Science
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ZDB: 206345-1
ISSN: 0025-1909
CoNE: https://pure.mpg.de/cone/journals/resource/954921352320