ABSTRACT. Despite the relevance of robotic wireless sensor networks, big data-driven decision-making processes, and cyber-physical system-based real-time monitoring in sustainable product lifecycle management, only limited research has been conducted on this topic. Using and replicating data from Capgemini, Deloitte, EY, Kronos, IW Custom Research, Management Events, McKinsey, MHI, and PwC, I performed analyses and made estimates regarding business process management systems. The results of a study based on data collected from 5,900 respondents provide support for my research model. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate.
JEL codes: E24; J21; J54; J64

Keywords: cyber-physical system; robotic wireless sensor network; sustainability

How to cite: Dawson, A. (2021). “Robotic Wireless Sensor Networks, Big Data-driven Decision-Making Processes, and Cyber-Physical System-based Real-Time Monitoring in Sustainable Product Lifecycle Management,” Economics, Management, and Financial Markets 16(2): 95–105. doi: 10.22381/emfm16220216.

Received 13 January 2021 • Received in revised form 15 June 2021
Accepted 18 June 2021 • Available online 25 June 2021

Andrew Dawson
This email address is being protected from spambots. You need JavaScript enabled to view it.
The Big Data Analytics Research Unit
at ISBDA, Dublin, Ireland

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