Artificial Intelligence-driven Big Data Analytics, Real-Time Sensor Networks, and Product Decision-Making Information Systems in Sustainable Manufacturing Internet of Things

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00002170" target="_blank" >RIV/75081431:_____/21:00002170 - isvavai.cz</a>

Result on the web

<a href="https://www.addletonacademicpublishers.com/contents-emfm/2216-volume-16-3-2021/4071-artificial-intelligence-driven-big-data-analytics-real-time-sensor-networks-and-product-decision-making-information-systems-in-sustainable-manufacturing-internet-of-thing" target="_blank" >https://www.addletonacademicpublishers.com/contents-emfm/2216-volume-16-3-2021/4071-artificial-intelligence-driven-big-data-analytics-real-time-sensor-networks-and-product-decision-making-information-systems-in-sustainable-manufacturing-internet-of-thing</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Artificial Intelligence-driven Big Data Analytics, Real-Time Sensor Networks, and Product Decision-Making Information Systems in Sustainable Manufacturing Internet of Things

Original language description

We develop a conceptual framework based on a systematic and comprehensive literature review on artificial intelligence-driven big data analytics, real-time sensor networks, and product decision-making information systems in sustainable manufacturing Internet of Things. Building our argument by drawing on data collected from Management Events and McKinsey, we performed analyses and made estimates regarding how reliable and resilient smart factories develop on deep learning-based autonomous assembly systems. The data for this research were gathered via an online survey questionnaire. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10200 - Computer and information sciences

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2021

Confidentiality

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

Name of the periodical

Economics, Management, and Financial Markets

ISSN

1842-3191

e-ISSN

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Volume of the periodical

16

Issue of the periodical within the volume

3

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

81-93

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85115866485