Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/addleton-academic-publishers/cyber-physical-production-networks-real-time-big-data-analytics-and-vUTxq2pQbS
References
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
- Publisher
- Addleton Academic Publishers
- Copyright
- © 2009 Addleton Academic Publishers
- ISSN
- 2329-4175
- eISSN
- 2377-0996
- Publisher site
- See Article on Publisher Site
Abstract
Despite the relevance of smart sustainable data-driven manufacturing, only limited research has been conducted on this topic. Using and replicating data from BCG, CompTIA, PAC, PwC, and Techconsult, I performed analyses and made estimates regarding smart factory initiatives evaluated, planned or already deployed by organizations. The results of a study based on data collected from 4,400 respondents provide support for my research model. Using the structural equation modeling, I gathered and analyzed data through a self-administrated questionnaire. JEL codes: E24; J21; J54; J64 Keywords: smart; sustainable; data-driven; manufacturing; cognitive automation
Journal
Journal of Self-Governance and Management Economics – Addleton Academic Publishers
Published: Jan 1, 2020