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
Volume: 14
Main Author: Kaiser, Ulrich
Kuhn, Johan M
Format: Journal Article
Language: English
Place of publication: Elsevier Inc 01.11.2020
published in: Journal of Business Venturing Insights Vol. 14
ORCID: 0000-0003-4372-2479
Data of publication: November 2020
ISSN: 2352-6734
Online Access: Fulltext
Database: Elsevier:ScienceDirect:Open Access
ScienceDirect Open Access Titles
Database information Databases - DBIS