QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F14%3APU108135" target="_blank" >RIV/00216305:26510/14:PU108135 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1504/IJTIP.2013.059656" target="_blank" >http://dx.doi.org/10.1504/IJTIP.2013.059656</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJTIP.2013.059656" target="_blank" >10.1504/IJTIP.2013.059656</a>
Alternative languages
Result language
angličtina
Original language name
QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
50602 - Public administration
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Technology Intelligence and Planning
ISSN
1740-2832
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
3
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
165-180
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84900611144