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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

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-84900611144