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KUBÍČKOVÁ, A. DOHNAL, M. DOUBRAVSKÝ, K.
Original Title
QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
Type
journal article in Scopus
Language
English
Original Abstract
The investments into start-up companies are often unique. The results are difficult to forecast. These investments are based on sparse and vague information; that is why statistical modelling methods are not applicable. Therefore this paper applies qualitative modelling and qualitative decision tree to support investment decision making into start-up companies. Team of expert was asked to describe start-up investment and 12 characteristics (variables) were chosen, e. g. Profitability, Market Potential etc. These variables were divided to two sets, variables which are under the management control - decision variables - and variables which are not under managerial control - lottery variables. The 12 dimensional models were developed, a common sense analysis identifies 18 qualitative equationless relations and the model generated 20 scenarios. A subset of scenarios was transferred into a qualitative decision tree. The tree was evaluated to identify the best possible sequence of decisions using heuristics based on common sense reasoning.
Keywords
Start-up Company; Decision Making; Decision Tree; Qualitative; Model; Heuristic; Common Sense Reasoning; Investments; Decision Making Model; Qualitative Modelling.
Authors
KUBÍČKOVÁ, A.; DOHNAL, M.; DOUBRAVSKÝ, K.
RIV year
2014
Released
10. 3. 2014
Publisher
Inderscience Publisher
Location
Switzerland
ISBN
1740-2832
Periodical
International Journal of Technology Intelligence and Planning
Year of study
9
Number
3
State
Swiss Confederation
Pages from
165
Pages to
180
Pages count
15
BibTex
@article{BUT106016, author="Alžběta {Kubíčková} and Mirko {Dohnal} and Karel {Doubravský}", title="QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES", journal="International Journal of Technology Intelligence and Planning", year="2014", volume="9", number="3", pages="165--180", doi="10.1504/IJTIP.2013.059656", issn="1740-2832" }