Smart Sustainable Data-driven Manufacturing: Cyber-Physical Production Systems and Internet of Things Sensing Networks
Anna Fielden et al.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