Dietmar Grichnik
Title
Prof. Dr.
Last Name
Grichnik
First name
Dietmar
Email
dietmar.grichnik@unisg.ch
Phone
+41 71 224 72 01
Web Site
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Item type:Publication, Predicting Startup Survival from
Digital Traces: Towards a Procedure for Early Stage Investors(2018-12-13); ; We investigate whether digital traces can be used to predict early stage startup survival. Based on common survival factors from the entrepreneurship literature, we mined the digital footprints of 542 entrepreneurs and their ventures. Using a context-specific text mining approach, we performed a bootstrapping simulation in which we predict 5-year survival for different survival rates that range from 50% to 10%. Our results indicate that we can predict 5-year survival with an accuracy of up to 91%. With this study, we will provide an evidence-based taxonomy of digital traces for predicting early stage startup survival, identify the most important digital traces for doing so and benchmark our predictive approach against the actual investments of 339 business angels.Type:conference paper