J 2021

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

NICA, Elvira and Vojtěch STEHEL

Basic information

Original name

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

Authors

NICA, Elvira (guarantor) and Vojtěch STEHEL (203 Czech Republic, belonging to the institution)

Edition

Journal of Self-Governance and Management Economics, New York, USA, Addleton Academic Publishers, 2021, 2329-4175

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10200 1.2 Computer and information sciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/75081431:_____/21:00002171

Organization unit

Institute of Technology and Business in České Budějovice

Keywords in English

sustainability; Industry 4.0; Internet of Things; sensing network; big data

Tags

BPL_FIP_2, RIV21, SCOPUS
Změněno: 21/4/2022 07:16, Mgr. Nikola Petříková

Abstract

V originále

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.
Displayed: 14/11/2024 23:06