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Application of machine learning techniques to predict entrepreneurial firm valuation

Zhang, Ruling; Tian, Zengrui; McCarthy, Killian J.; … - In: Journal of forecasting 42 (2023) 2, pp. 402-417

Persistent link: https://www.econbiz.de/10014292190

The prediction of venture capitalists' investment propensity using machine learning

Choi, Youngkeun; Choi, Jae W. - In: International journal of e-entrepreneurship and … 11 (2021) 2, pp. 18-31

Persistent link: https://www.econbiz.de/10012613259

Artificial intelligence and entrepreneurship : implications for venture creation in the Fourth Industrial Revolution

Chalmers, Dominic; MacKenzie, Niall G.; Carter, Sara - In: Entrepreneurship theory and practice : ET&P 45 (2021) 5, pp. 1028-1053

Persistent link: https://www.econbiz.de/10012608329

Designing AI implications in the venture creation process

Schiavone, Francesco; Pietronudo, Maria Cristina; … - In: International journal of entrepreneurial behavior & research 29 (2023) 4, pp. 838-859

Persistent link: https://www.econbiz.de/10014286604

Schumpeterian entrepreneurial digital identity and funding from venture capital firms

Block, Jörn; Fisch, Christian; Diegel, Walter - In: The journal of technology transfer 49 (2024) 1, pp. 119-157

Persistent link: https://www.econbiz.de/10015053825

The perfect match : the role of categorical fit between venture capitalists and their startup investments

Arnold, Jan-Frederik - 2018

This dissertation sheds light on how the categorical fit between venture capitalists and startups affect the matching process before a funding round. The study uses market categories to measure new venture’s distinctiveness and the cultural distance between venture capitalists and new...

Persistent link: https://www.econbiz.de/10012152335