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Real-Time Big Data Analytics, Smart Industrial Value Creation, and Robotic Wireless Sensor Networks in Internet of Things-based Decision Support Systems

Real-Time Big Data Analytics, Smart Industrial Value Creation, and Robotic Wireless Sensor... This article presents an empirical study carried out to evaluate and analyze real-time big data analytics, smart industrial value creation, and robotic wireless sensor networks in Internet of Things-based decision support systems. Building my argument by drawing on data collected from BCG, Capgemini, Comp- TIA, Deloitte, EY, PAC, PwC, SME, and World Economic Forum, I performed analyses and made estimates regarding product decision-making information systems in data-driven sustainable smart manufacturing. Data collected from 5,400 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Internet of Things; real-time big data analytics; smart manufacturing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Economics, Management, and Financial Markets Addleton Academic Publishers

Real-Time Big Data Analytics, Smart Industrial Value Creation, and Robotic Wireless Sensor Networks in Internet of Things-based Decision Support Systems

Economics, Management, and Financial Markets , Volume 16 (1): 11 – Jan 1, 2021

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Publisher
Addleton Academic Publishers
Copyright
© 2009 Addleton Academic Publishers
ISSN
1842-3191
eISSN
1938-212X
Publisher site
See Article on Publisher Site

Abstract

This article presents an empirical study carried out to evaluate and analyze real-time big data analytics, smart industrial value creation, and robotic wireless sensor networks in Internet of Things-based decision support systems. Building my argument by drawing on data collected from BCG, Capgemini, Comp- TIA, Deloitte, EY, PAC, PwC, SME, and World Economic Forum, I performed analyses and made estimates regarding product decision-making information systems in data-driven sustainable smart manufacturing. Data collected from 5,400 respondents are tested against the research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. JEL codes: E24; J21; J54; J64 Keywords: Internet of Things; real-time big data analytics; smart manufacturing

Journal

Economics, Management, and Financial MarketsAddleton Academic Publishers

Published: Jan 1, 2021

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