ABSTRACT. We draw on a substantial body of theoretical and empirical research on data-driven sustainable smart manufacturing, and to explore this, we inspected, used, and replicated survey data from BDV, Capgemini, Deloitte, MHI, PwC, Techconsult, we.CONECT, and World Economic Forum, performing analyses and making estimates regarding the link between real-time sensor networks, advanced robotics, and product decision-making information systems. Structural equation modeling was used to analyze the data and test the proposed conceptual model.
JEL Codes: E24; J21; J54; J64

Keywords: advanced robotics; big data; sustainability; smart manufacturing

How to cite: Popescu, G. H., Valaskova, K., and Majerova, J. (2020). “Real-Time Sensor Networks, Advanced Robotics, and Product Decision-Making Information Systems in Data-driven Sustainable Smart Manufacturing,” Economics, Management, and Financial Markets 15(4): 29–38. doi:10.22381/EMFM15420203

Received 3 October 2020 • Received in revised form 12 December 2020
Accepted 14 December 2020 • Available online 17 December 2020