The value of publicly available, textual and non-textual information for startup performance prediction

Can publicly available, web-scraped data be used to identify promising business startups at an early stage? To answer this question, we use such textual and non-textual information about the names of Danish firms and their addresses as well as their business purpose statements (BPSs) supplemented by...

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Bibliographic details
Main Author: Kaiser, Ulrich
Kuhn, Johan M
Format: Paper
Language: German
Place of publication: Mannheim 2020
Data of publication: 2020
Bibliography: https://madoc.bib.uni-mannheim.de/55086
Kaiser, Ulrich ; Kuhn, Johan M. (2020) The value of publicly available, textual and non-textual information for startup performance prediction. <https://madoc.bib.uni-mannheim.de/55086> Open Access ZEW Discussion Papers Mannheim 20-012 [Arbeitspapier] [img] </55086/1/dp20012.pdf>Vorschau
https://madoc.bib.uni-mannheim.de/55086/
https://madoc.bib.uni-mannheim.de/55086/1/dp20012.pdf
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Database: MADOC Publikationsserver
Database information Databases - DBIS