ONLINE REPUTATION OF AI AND ML SUPPLY CHAIN FIRMS & SOLUTIONS: AN EMPIRICAL STUDY

Kód výsledku v 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>

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

ONLINE REPUTATION OF AI AND ML SUPPLY CHAIN FIRMS & SOLUTIONS: AN EMPIRICAL STUDY

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

ONLINE REPUTATION OF AI AND ML SUPPLY CHAIN FIRMS & SOLUTIONS: AN EMPIRICAL STUDY

Popis výsledku anglicky

"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."

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50200 - Economics and Business

Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

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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Počet stran výsledku

8

Strana od-do

361-368

Název nakladatele

Trauner Verlag Universität

Místo vydání

Neuveden

Místo konání akce

Hradec Králové, Česká republika

Datum konání akce

4. 9. 2024

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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