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ABSTRACT. Based on an in-depth survey of the literature, the purpose of the paper is to explore Internet of Things-enabled sustainability, big data-driven decision-making processes, and digitized mass production in Industry 4.0-based manufacturing systems. Using and replicating data from Capgemini, Forrester, Globant, Management Events, McKinsey, PAC, PwC, and Software AG, we performed analyses and made estimates regarding Internet of Things smart devices in cyber-physical manufacturing systems. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: Industry 4.0; Internet of Things; digitized mass production; big data

How to cite: Riley, C., Vrbka, J., and Rowland, Z. (2021). “Internet of Things-enabled Sustainability, Big Data-driven Decision-Making Processes, and Digitized Mass Production in Industry 4.0-based Manufacturing Systems,” Journal of Self-Governance and Management Economics 9(1): 42–52. doi: 10.22381/jsme9120214.

Received 13 January 2021 • Received in revised form 14 March 2021
Accepted 16 March 2021 • Available online 20 March 2021

Cheryl Riley
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The Digital Dynamics Laboratory at CLI, Miami, FL, USA
(corresponding author)
Jaromir Vrbka
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The Institute of Technology and Business in Ceske Budejovice,
The School of Expertness and Valuation, Czech Republic
Zuzana Rowland
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The Institute of Technology and Business in Ceske Budejovice,
The School of Expertness and Valuation, Czech Republic

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