4.6 Article

Multi-Criteria Analysis of Startup Investment Alternatives Using the Hierarchy Method

期刊

ENTROPY
卷 25, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/e25050723

关键词

multi-criteria analysis; criteria composition; investment; startup; Saaty's method; global priority vector; choosing alternatives

向作者/读者索取更多资源

This paper discusses the use of multi-criteria analysis to analyze investment alternatives in complex organizational systems. The approach considers both quantitative and qualitative influences, statistical and individual properties, and expert evaluations. Criteria are defined to evaluate startup investment priorities, and Saaty's hierarchy method is applied to compare alternatives. An example analysis is conducted on three startups to identify their investment appeal based on specific features. The allocation of resources between projects according to global priorities allows for risk diversification.
In this paper, we discuss the use of multi-criteria analysis for investment alternatives as a rational, transparent, and systematic approach that reveals the decision-making process during a study of influences and relationships in complex organizational systems. It is shown that this approach considers not only quantitative but also qualitative influences, statistical and individual properties of the object, and expert objective evaluation. We define the criteria for evaluating startup investment prerogatives, which are organized in thematic clusters (types of potential). To compare the investment alternatives, Saaty's hierarchy method is used. As an example, the analysis of three startups is carried out based on the phase mechanism and Saaty's analytic hierarchy process to identify investment appeal of startups according to their specific features. As a result, it is possible to diversify the risks of an investor through the allocation of resources between several projects, in accordance with the received vector of global priorities.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据