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A Framework for a Valuation of Digital Start-Ups Using Artificial Intelligence and Fuzzy Sets

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23510%2F23%3A43970231" target="_blank" >RIV/49777513:23510/23:43970231 - isvavai.cz</a>

  • Result on the web

    <a href="https://acc-ern.tul.cz/archiv/PDF/ACC_2023_2_06.pdf" target="_blank" >https://acc-ern.tul.cz/archiv/PDF/ACC_2023_2_06.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/acc-2023-0006" target="_blank" >10.2478/acc-2023-0006</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Framework for a Valuation of Digital Start-Ups Using Artificial Intelligence and Fuzzy Sets

  • Original language description

    This article presents an innovative framework for assessing digital start-ups and smaller companies using a fuzzy set approach, considering the founder&apos;s expertise, product marketability, financial health, and social media presence. Four Czech digital start-ups were analyzed by both human experts and an artificial intelligence model. Using a fuzzy additive ratio assessment, each startup was evaluated on a five-point scale, with the results compared to Deloitte&apos;s FAST 50 rank. The AI and human evaluations differed, with humans placing more emphasis on the founder&apos;s experience and product appeal. The study suggests a valuation framework involving both human and AI expertise for interactive comparison and update. The article highlights the value of AI in startup assessment, stressing the necessity of merging human and artificial intelligence in decision-making.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50204 - Business and management

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    ACC JOURNAL

  • ISSN

    1803-9782

  • e-ISSN

    1803-9782

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    71-83

  • UT code for WoS article

  • EID of the result in the Scopus database