Ex Ante Predictability of Rapid Growth:A Design Science Approach

Autor: Ari Hyytinen, Petri Rouvinen, Mika Pajarinen, Joosua Virtanen

Publikováno v: Hyytinen, A, Rouvinen, P, Pajarinen, M & Virtanen, J 2022, ' Ex Ante Predictability of Rapid Growth : A Design Science Approach ', Entrepreneurship Theory and Practice . https://doi.org/10.1177/10422587221128268

We examine how machine learning (ML) predictions of high-growth enterprises (HGEs) help a budget-constrained venture capitalist source investments for a fixed size portfolio. Applying a design science approach, we predict HGEs 3 years ahead and focus

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08f0dfa12c0196f9b3d960adf88ea8dd
https://cris.vtt.fi/en/publications/78e24449-05cd-467d-b2e6-d46b1ebb3cd3