ONLINE REPUTATION OF AI AND ML SUPPLY CHAIN FIRMS & SOLUTIONS: AN EMPIRICAL STUDY
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F24%3A00002736" target="_blank" >RIV/75081431:_____/24:00002736 - isvavai.cz</a>
Result on the web
<a href="https://doi-org.ezproxy.techlib.cz/10.35011/IDIMT-2024-361" target="_blank" >https://doi-org.ezproxy.techlib.cz/10.35011/IDIMT-2024-361</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
ONLINE REPUTATION OF AI AND ML SUPPLY CHAIN FIRMS & SOLUTIONS: AN EMPIRICAL STUDY
Original language description
"This paper explores the challenges associated with sustainably building corporate reputations and supply chain solutions in Artificial Intelligence (AI) and Machine Learning (ML). Special emphasis is placed on online reputation, which is a key factor in forming a responsible and sustainable image and is considered a valuable but also vulnerable intangible asset. A sample of the top 10 companies and supply chain solutions in AI and ML was selected for the research. This sample was selected based on the ranking of top 10 companies and supply chain solutions in AI and ML published on supplychaindigital.com on May 24, 2023. The analysis was conducted using sentiment analysis method. The findings identified in this study provide insights into the challenges associated with sustainable reputation building for companies. These findings provide a better understanding of how to achieve sustainable reputation development for companies and supply chain solutions in AI and ML but can also be applied to other relevant business areas."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IDIMT 2024: Changes to ICT, Management, and Business Processes through AI - 32nd Interdisciplinary Information Management Talks
ISBN
9783991515272
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
361-368
Publisher name
Trauner Verlag Universität
Place of publication
Neuveden
Event location
Hradec Králové, Česká republika
Event date
Sep 4, 2024
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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