University of Oulu

Iftikhar, A., Ali, I., Arslan, A. et al. Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review. Ann Oper Res (2022).

Digital innovation, data analytics, and supply chain resiliency : a bibliometric-based systematic literature review

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Author: Iftikhar, Anas1; Ali, Imran2; Arslan, Ahmad3;
Organizations: 1International Lecturer in Logistics & Supply Chain Management, Lancaster University Management School, Lancaster University, Lancaster, United Kingdom
2Lecturer in Operations and Innovation Management, School of Business & Law, Central Queensland University, Rockhampton, Australia
3Oulu Business School, University of Oulu, Oulu, Finland
4Birmingham Business School, University of Birmingham, Birmingham, UK
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.4 MB)
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Language: English
Published: Springer Nature, 2022
Publish Date: 2022-05-23


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.

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Series: Annals of operations research
ISSN: 0254-5330
ISSN-E: 1572-9338
ISSN-L: 0254-5330
Issue: Online first
DOI: 10.1007/s10479-022-04765-6
Type of Publication: A1 Journal article – refereed
Field of Science: 512 Business and management
Funding: Open Access funding enabled and organized by CAUL and its Member Institutions.
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