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- Publisher
- Addleton Academic Publishers
- Copyright
- © 2009 Addleton Academic Publishers
- ISSN
- 2329-4175
- eISSN
- 2377-0996
- Publisher site
- See Article on Publisher Site
Abstract
I develop a conceptual framework based on a systematic and comprehensive literature review on Internet of Things-based real-time production logistics. Building my argument by drawing on data collected from AMG World, The Boston Consulting Group, Deloitte, KSM, MIT Sloan Management Review, PwC, SME, and teknowlogy, I performed analyses and made estimates regarding top five barriers preventing/slowing smart technology (%), effect of automation on the number and skill level of jobs in manufacturing (%), expectations for artificial intelligence adoption across industries (impact on offerings, %), significance of data and analysis competences in the context of Industry 4.0 (%), and retailers planning to invest in artificial intelligence and Internet of Things technologies (%). The data for this research were gathered via an online survey questionnaire and were analyzed through structural equation modeling on a sample of 4,200 respondents. JEL codes: E24; J21; J54; J64 Keywords: big data analytics; Internet of Things; real-time production logistics
Journal
Journal of Self-Governance and Management Economics – Addleton Academic Publishers
Published: Jan 1, 2020