Abstract Research summary We assess how personality alignment in investor–founder dyads is associated with the likelihood of follow‐on funding, a vital outcome for early‐stage ventures. Using machine learning to infer the Big Five personality traits from Twitter data for 9497 business angel–founder dyads, we find that similarity in conscientiousness and agreeableness is associated with a higher likelihood of follow‐on funding, while similarity in neuroticism is associated with a lower likelihood. We attribute these patterns to the trait‐specific benefits of supplementary (conscientiousness and agreeableness) and complementary (neuroticism) fit. Robustness checks and additional analyses support and nuance the conclusion that personality fit matters for venture outcomes, highlighting the strategic role of personality fit in the investor–founder relationship. Managerial summary We show that personality similarity between business angels and founders is associated with whether a venture secures follow‐on funding. Similarity in conscientiousness (being organized and reliable) and agreeableness (being cooperative and trusting) is linked to a higher likelihood of securing follow‐on funding, while similarity in neuroticism (emotional instability) is linked to a lower likelihood. We interpret these patterns as collaboration dynamics: similarity can help through supplementary fit (e.g., shared work style and cooperation), but differences can help through complementary fit (e.g., one partner's emotional stability offsets the other's emotional instability). Practically, founders and business angels should develop self‐awareness and consider personality fit alongside other characteristics when forming partnerships. Policymakers and incubators can support better matches and strengthen collaboration by promoting awareness of interpersonal dynamics.
Building similarity graph...
Analyzing shared references across papers
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Angela Altmeier
Christian Fisch
Strategic Entrepreneurship Journal
University of Luxembourg
Building similarity graph...
Analyzing shared references across papers
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Altmeier et al. (Fri,) studied this question.
www.synapsesocial.com/papers/69db37ca4fe01fead37c5cdc — DOI: https://doi.org/10.1002/sej.70025