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: Publication
Language: English
Place of publication: Mannheim: ZEW - Leibniz-Zentrum für Europäische Wirtschaftsforschung 01.01.2020
Data of publication: 2020-01-01
Dewey Decimal Classification: 330
Discipline: Economics
Subjects:
Online Access: available in Bonn?
Database: OpenAIRE (Open Access)
OpenAIRE
Database information Databases - DBIS