Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review

• Published in: Annals of operations research Vol. 333; no. 2-3; pp. 825 - 848
• Main Authors: Iftikhar, Anas, Ali, Imran, Arslan, Ahmad, Tarba, Shlomo
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.02.2024; Springer Nature B.V
• Subjects: Bibliometrics; Business and Management; Clusters; Combinatorics; Data analysis; Innovations; Literature reviews; Mathematical analysis; Operations Research/Decision Theory; Original Research; Reliability analysis; Resilience; Supply chains; Theory of Computation; Digital innovation; Data analytics; Digital technology; Bibliometrics; Supply chain resilience

In recent times, the literature has seen considerable growth in research at the intersection of digital innovation, data analytics, and supply chain resilience. While the number of studies on the topic has been burgeoning, due to the absence of a comprehensive literature review, it remains unclear w...