Mapping Risks Faced by Startup Investors: An Approach Based on the Apriori Algorithm

Author:

Silva Júnior Claudio Roberto1ORCID,Siluk Julio Cezar Mairesse1ORCID,Neuenfeldt-Júnior Alvaro Luis1,Francescatto Matheus Binotto1ORCID,Michelin Cláudia de Freitas2

Affiliation:

1. Department of Production Engineering and Systems, Universidade Federal de Santa Maria, Santa Maria 97105-900, Brazil

2. Department of Accounting Sciences, Universidade Federal de Santa Maria, Santa Maria 97105-900, Brazil

Abstract

This article maps and verifies the dependence relation between risks faced by startup investors. Thus, a systematic review of 33 articles and a meta-analysis using the Apriori algorithm were used. We mapped 14 investment risks faced by startup investors, classifying them into four dimensions: external, internal, human, and capital. Furthermore, by using the Apriori algorithm, dependency relations between nine investment risks were observed. This research fills a gap related to the non-structuring of a holistic approach to the investment risks startup investors face. In addition, a comprehensive review of and a discussion about the relation between investment risks provides a theoretical foundation for startups’ investments based on analyzing the risks inherent to this activity.

Funder

Research and Scientific and Technological Development Support Foundation of Maranhão

Brazilian National Council for Scientific and Technological Development

Coordination for the Improvement of Higher Education Personnel

Publisher

MDPI AG

Subject

Strategy and Management,Economics, Econometrics and Finance (miscellaneous),Accounting

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