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

We use administrative textual and non-textual data retrieved from publicly available archives to predict the performance of Danish startups at the time of foundation. The performance outcomes we consider are survival, high employment growth, a return on assets of above 20 percent, new patent applica...

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Bibliographic details
Main Author: Kaiser, Ulrich
Kuhn, Johan M
Format: Journal Article
Language: English
Place of publication: Elsevier 01.11.2020
Data of publication: 2020-11-01
ISSN: 2352-6734
Discipline: Economics
Bibliography: https://www.zora.uzh.ch/id/eprint/196036/
merlin-id:20205
Kaiser, Ulrich; Kuhn, Johan M (2020). The value of publicly available, textual and non-textual information for startup performance prediction. Journal of Business Venturing Insights, 14:e00179.
10.1016/j.jbvi.2020.e00179
Subjects:
Online Access: available in Bonn?
Database: ZORA
ZORA (Open Access)
Database information Databases - DBIS