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ABSTRACT. The purpose of this study was to empirically examine smart sustainable data-driven manufacturing. Building our argument by drawing on data collected from Deloitte, Forbes, Management Events, PwC, and World Economic Forum, we performed analyses and made estimates regarding development priorities in marketing and customer experience management (%), current development projects in marketing organizations (%), current development priorities in sales organizations (%), future workforce strategies, industries overall (%), and how industrial companies are getting closer to customers (%). The structural equation modeling technique was used to test the research model.
JEL codes: E24; J21; J54; J64

Keywords: smart; sustainable; data-driven; manufacturing; Internet of Things

How to cite: Fielden, Anna, Lucia Michalkova, Jaromir Vrbka, and Maria Lyakina (2019). “Smart Sustainable Data-driven Manufacturing: Cyber-Physical Production Systems and Internet of Things Sensing Networks,” Journal of Self-Governance and Management Economics 7(4): 7–13. doi:10.22381/JSME7420191

Received 4 August 2019 • Received in revised form 1 December 2019
Accepted 4 December 2019 • Available online 15 December 2019

Anna Fielden
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The Institute of Smart Big Data Analytics,
New York City, NY, USA
(corresponding author)
Lucia Michalkova
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Faculty of Operation and Economics
of Transport and Communications,
Department of Economics,
University of Zilina, Zilina, Slovak Republic
Jaromir Vrbka
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The Institute of Technology and Business in Ceske Budejovice,
The School of Expertness and Valuation, Czech Republic
Maria Lyakina
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Faculty of Economics and Management,
Department of Transport Economics,
Emperor Alexander I St. Petersburg
State Transport University, St. Petersburg, Russia

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