Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00002171" target="_blank" >RIV/75081431:_____/21:00002171 - isvavai.cz</a>

Výsledek na webu

<a href="https://addletonacademicpublishers.com/contents-jsme/2230-volume-9-3-2021/4065-internet-of-things-sensing-networks-artificial-intelligence-based-decision-making-algorithms-and-real-time-process-monitoring-in-sustainable-industry-4-0" target="_blank" >https://addletonacademicpublishers.com/contents-jsme/2230-volume-9-3-2021/4065-internet-of-things-sensing-networks-artificial-intelligence-based-decision-making-algorithms-and-real-time-process-monitoring-in-sustainable-industry-4-0</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0

Popis výsledku v původním jazyce

This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, artificial intelligence-based decision making algorithms, and real-time process monitoring in sustainable Industry 4.0. Building our argument by drawing on data collected from Algorithmia, BCG, Deloitte, the Economist Intelligence Unit, Management Events, McKinsey, Ovum, PwC, and Techconsult, we performed analyses and made estimates regarding inter connected data processing in smart manufacturing and business analytics. Data collected from 6,200 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Název v anglickém jazyce

Internet of Things Sensing Networks, Artificial Intelligence-based Decision-Making Algorithms, and Real-Time Process Monitoring in Sustainable Industry 4.0

Popis výsledku anglicky

This article presents an empirical study carried out to evaluate and analyze Internet of Things sensing networks, artificial intelligence-based decision making algorithms, and real-time process monitoring in sustainable Industry 4.0. Building our argument by drawing on data collected from Algorithmia, BCG, Deloitte, the Economist Intelligence Unit, Management Events, McKinsey, Ovum, PwC, and Techconsult, we performed analyses and made estimates regarding inter connected data processing in smart manufacturing and business analytics. Data collected from 6,200 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

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OECD FORD obor

10200 - Computer and information sciences

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Journal of Self-Governance and Management Economics

ISSN

2329-4175

e-ISSN

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Svazek periodika

9

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

35-47

Kód UT WoS článku

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EID výsledku v databázi Scopus

2-s2.0-85115878556