» Articles » PMID: 35611176

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

Overview
Journal Ann Oper Res
Publisher Springer
Date 2022 May 25
PMID 35611176
Authors
Affiliations
Soon will be listed here.
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.

Citing Articles

Blockchain technology in supply chain management: an organizational theoretic overview and research agenda.

Manzoor R, Sahay B, Singh S Ann Oper Res. 2022; :1-48.

PMID: 36467003 PMC: 9686257. DOI: 10.1007/s10479-022-05069-5.

References
1.
Shahzad A, Zhang K, Gherbi A . Intuitive Development to Examine Collaborative IoT Supply Chain System Underlying Privacy and Security Levels and Perspective Powering through Proactive Blockchain. Sensors (Basel). 2020; 20(13). PMC: 7374363. DOI: 10.3390/s20133760. View

2.
Ali I, Sultan P, Aboelmaged M . A bibliometric analysis of academic misconduct research in higher education: Current status and future research opportunities. Account Res. 2020; 28(6):372-393. DOI: 10.1080/08989621.2020.1836620. View

3.
Hosseini S, Ivanov D . Bayesian networks for supply chain risk, resilience and ripple effect analysis: A literature review. Expert Syst Appl. 2020; 161:113649. PMC: 7305519. DOI: 10.1016/j.eswa.2020.113649. View

4.
Bhaskar S, Tan J, Bogers M, Minssen T, Badaruddin H, Israeli-Korn S . At the Epicenter of COVID-19-the Tragic Failure of the Global Supply Chain for Medical Supplies. Front Public Health. 2020; 8:562882. PMC: 7737425. DOI: 10.3389/fpubh.2020.562882. View

5.
Ali I, Arslan A, Chowdhury M, Khan Z, Tarba S . Reimagining global food value chains through effective resilience to COVID-19 shocks and similar future events: A dynamic capability perspective. J Bus Res. 2021; 141:1-12. PMC: 8660256. DOI: 10.1016/j.jbusres.2021.12.006. View