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Statements

Subject Item
n2:RIV%2F00216305%3A26510%2F14%3APU108135%21RIV15-MSM-26510___
rdf:type
n7:Vysledek skos:Concept
dcterms: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 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
dcterms:title
QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
skos:prefLabel
QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES QUALITATIVE DECISION MAKING MODEL OF INVESTMENT INTO START-UP COMPANIES
skos:notation
RIV/00216305:26510/14:PU108135!RIV15-MSM-26510___
n3:aktivita
n17:S
n3:aktivity
S
n3:cisloPeriodika
3
n3:dodaniDat
n11:2015
n3:domaciTvurceVysledku
n9:6838472 n9:3663973 n9:7543549
n3:druhVysledku
n18:J
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n5:predkladatel
n3:idSjednocenehoVysledku
41008
n3:idVysledku
RIV/00216305:26510/14:PU108135
n3:jazykVysledku
n13:eng
n3:klicovaSlova
Start-up Company, Decision Making, Decision Tree, Qualitative, Model, Heuristic, Common Sense Reasoning, Investments, Decision Making Model, Qualitative Modelling.
n3:klicoveSlovo
n4:Qualitative n4:Qualitative%20Modelling. n4:Heuristic n4:Decision%20Making%20Model n4:Decision%20Making n4:Model n4:Common%20Sense%20Reasoning n4:Decision%20Tree n4:Investments n4:Start-up%20Company
n3:kodStatuVydavatele
CH - Švýcarská konfederace
n3:kontrolniKodProRIV
[9076966981DC]
n3:nazevZdroje
International Journal of Technology Intelligence and Planning
n3:obor
n14:AE
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n11:2014
n3:svazekPeriodika
9
n3:tvurceVysledku
Kubíčková, Alžběta Doubravský, Karel Dohnal, Mirko
s:issn
1740-2832
s:numberOfPages
15
n15:doi
10.1504/IJTIP.2013.059656
n12:organizacniJednotka
26510