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A Scientific Approach to Entrepreneurial Decision Making: Large Scale Replication and Extension

Camuffo, A., Gambardella, A., Messinese, D. , Novelli, E. ORCID: 0000-0002-6899-1096, Paolucci, E. & Spina, C. (2024). A Scientific Approach to Entrepreneurial Decision Making: Large Scale Replication and Extension. Strategic Management Journal, doi: 10.1002/smj.3580


This paper runs a large-scale replication of Camuffo et al. (2020), involving 759 firms in four randomized control trials. The larger sample generates novel and more precise insights about the teachability and implications of a scientific approach in entrepreneurship. We observe a positive impact on idea termination and results that are consistent with a non-linear effect on radical pivots, with treated firms running few over no or repeated pivots. We provide a theoretical interpretation of the empirical results: the scientific approach enhances entrepreneurs' efficiency in searching for viable ideas and raises their methodic doubt because, like scientists, they realize that there may be alternative scenarios from the ones that they theorize.

Publication Type: Article
Additional Information: © 2024 The Authors. Strategic Management Journal published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Publisher Keywords: decision-making, entrepreneurship, randomized control trial, scientific approach, start-up
Subjects: H Social Sciences > HB Economic Theory
H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Departments: Bayes Business School
Bayes Business School > Management
SWORD Depositor:
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