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'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's FAST 50 rank. The AI and human evaluations differed, with humans placing more emphasis on the founder'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
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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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
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EID of the result in the Scopus database
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