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• W3169162645 startingPage "100062" @default.
• W3169162645 abstract "Investing in early-stage companies is incredibly hard, especially when no data are available to support the decision process. Venture capitalists often rely on gut feeling or heuristics to reach a decision, which is biased and potentially harmful. This work proposes a new data-driven framework to help investors be more effective in selecting companies with a higher probability of success. We built upon existing interdisciplinary research and augmented it with further analysis on more than 600,000 companies over a 20-year timeframe. The resulting framework is therefore a smart checklist of 21 relevant features that may help investors to select the companies more likely to succeed." @default.
• W3169162645 created "2021-06-22" @default.
• W3169162645 creator A5047390130 @default.
• W3169162645 creator A5052015014 @default.
• W3169162645 creator A5077860299 @default.
• W3169162645 date "2021-09-01" @default.
• W3169162645 modified "2023-10-18" @default.
• W3169162645 title "Hacking the venture industry: An Early-stage Startups Investment framework for data-driven investors" @default.
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