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

【Author】 Iftikhar, Anas; Ali, Imran; Arslan, Ahmad; Tarba, Shlomo

【Source】ANNALS OF OPERATIONS RESEARCH

【影响因子】4.820

【Abstract】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 what aspects of the subject have already been investigated and what are the avenues for impactful future research. Integrating bibliometric analysis with a systematic review approach, this paper offers the review of 262 articles at the nexus of innovative technologies, data analytics, and supply chain resiliency. The analysis uncovers the critical research clusters, the evolution of research over time, knowledge trajectories and methodological development in the area. Our thorough analysis enriches contemporary knowledge on the subject by consolidating the dispersed literature on the significance of innovative technologies, data analytics and supply chain resilience thereby recognizing major research clusters or domains and fruitful paths for future research. The review also helps improve practitioners' awareness of the recent research on the topic by recapping key findings of a large amount of literature in one place.

【Keywords】Digital innovation; Data analytics; Digital technology; Supply chain resilience; Bibliometrics

【发表时间】

【收录时间】2022-05-29

【文献类型】综述

【主题类别】

区块链应用-实体经济-供应链