Industry 4.0 and Supply Chain Management: A Methodological Review
Pavitra Dhamija,
Monica Bedi and
M.L. Gupta
Additional contact information
Pavitra Dhamija: Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, South Africa
Monica Bedi: Panjab University, Chandigarh, India
M.L. Gupta: PEC University of Technology, Chandigarh, India
International Journal of Business Analytics (IJBAN), 2020, vol. 7, issue 1, 1-23
Abstract:
The association of Industry 4.0 and supply chain management assures tremendous growth and developmental opportunities towards manufacturing organizations. The two aspects (Industry 4.0 and supply chain management) are one of the most opted choices for research among academicians and researchers. The study in question accommodates 884 papers from past 10 years, which contributes towards Industry 4.0, supply chain management, cyber-physical systems, digitization, Internet of Things, and Big Data predictive analytics. The statistical tools include BibExcel and Gephi for bibliometric and network analysis. The results are presented in the form of top contributing authors, keywords, and citations. The article also shares a conceptual model based on the review of studies. The findings will help managers or officials to understand the importance of Industry 4.0 and its association with supply chain management. The formed clusters and their associations are providing new areas that require managerial attention. The article ends while discussing the current and future scope of research.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJBAN.2020010101 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jban00:v:7:y:2020:i:1:p:1-23
Access Statistics for this article
International Journal of Business Analytics (IJBAN) is currently edited by John Wang
More articles in International Journal of Business Analytics (IJBAN) from IGI Global
Bibliographic data for series maintained by Journal Editor ().