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ABSTRACT. Employing recent research results covering Internet of Things sensing networks, digitized mass production, and sustainable organizational performance in cyber-physical system-based smart factories, and building our argument by drawing on data collected from McKinsey and Ovum, we performed analyses and made estimates regarding data-driven process automation. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: Internet of Things; sensing network; cyber-physical system; sustainability

How to cite: Suler, P., Palmer, L., and Bilan, S. (2021). “Internet of Things Sensing Networks, Digitized Mass Production, and Sustainable Organizational Performance in Cyber-Physical System-based Smart Factories,” Journal of Self-Governance and Management Economics 9(2): 42–51. doi: 10.22381/jsme9220214.

Received 13 January 2021 • Received in revised form 17 June 2021
Accepted 20 June 2021 • Available online 25 June 2021

Petr Suler
This email address is being protected from spambots. You need JavaScript enabled to view it.
The School of Expertness and Valuation,
The Institute of Technology and Business
in Ceske Budejovice, Czech Republic
Laura Palmer
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The Center for Cognitive Decision-Making Algorithms
at ISBDA, Vancouver, Canada
(corresponding author)
Svitlana Bilan
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National University of Water and
Environmental Engineering, Rivne, Ukraine;
Al-Farabi Kazakh National University, Republic of Kazakhstan

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