Detail publikace

QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES

KUBÍČKOVÁ, A. DOHNAL, M. DOUBRAVSKÝ, K.

Originální název

QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Start-up Company; Decision Making; Decision Tree; Qualitative; Model; Heuristic; Common Sense Reasoning; Investments; Decision Making Model; Qualitative Modelling.

Autoři

KUBÍČKOVÁ, A.; DOHNAL, M.; DOUBRAVSKÝ, K.

Rok RIV

2014

Vydáno

10. 3. 2014

Nakladatel

Inderscience Publisher

Místo

Switzerland

ISSN

1740-2832

Periodikum

International Journal of Technology Intelligence and Planning

Ročník

9

Číslo

3

Stát

Švýcarská konfederace

Strany od

165

Strany do

180

Strany počet

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"
}