QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>SC</sub> - Článek v periodiku v databázi SCOPUS
CEP obor
—
OECD FORD obor
50602 - Public administration
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Technology Intelligence and Planning
ISSN
1740-2832
e-ISSN
—
Svazek periodika
9
Číslo periodika v rámci svazku
3
Stát vydavatele periodika
CH - Švýcarská konfederace
Počet stran výsledku
15
Strana od-do
165-180
Kód UT WoS článku
—
EID výsledku v databázi Scopus
2-s2.0-84900611144