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Identifying corporate venture capital investors – A data-cleaning procedure

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  • Röhm, Patrick
  • Merz, Markus
  • Kuckertz, Andreas

Abstract

The majority of research on corporate venture capital (CVC) relies on data retrieved from secondary databases. However, various databases define CVC differently. Generally, researchers rely on the definition of the used database. As a result, empirical CVC research is not readily comparable, and replicability across databases is often impossible. This article examines the scope and consistency of the most popular databases in CVC research: Eikon from Thomson Reuters and Dow Jones’ VentureSource. The outcome is a replicable data-cleaning procedure based on an appropriate CVC definition. The article provides a necessary basis for the future discourse on CVC.

Suggested Citation

  • Röhm, Patrick & Merz, Markus & Kuckertz, Andreas, 2020. "Identifying corporate venture capital investors – A data-cleaning procedure," Finance Research Letters, Elsevier, vol. 32(C).
    • Handle: RePEc:eee:finlet:v:32:y:2020:i:c:s1544612318302411
    DOI: 10.1016/j.frl.2019.01.004
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    References listed on IDEAS

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    2. Dushnitsky, Gary & Yu, Lei, 2022. "Why do incumbents fund startups? A study of the antecedents of corporate venture capital in China," Research Policy, Elsevier, vol. 51(3).
    3. Ruling Zhang & Killian J. McCarthy & Xiao Wang, 2022. "Two's company, three's a crowd: The impact of corporate venture capital unit's investment partners on the corporate investor's innovation performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 975-987, June.

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