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

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.

Linking entrepreneurial orientation and supply chain resilience to strengthen business performance: an empirical analysis

“…Moreover, the body of the recent literature evaluates how innovative technologies, such as big data analytics or artificial intelligence, can foster SCRES (e.g. Bag et al, 2021;Iftikhar et al, 2022;Ivanov and Dolgui, 2021).…”

“…In this context, firms that strive either for radical SC innovations, such as new ideas for fundamental changes or incremental innovations, such as process improvements with a lesser degree of novelty compared to existing activities, may show higher SCRES (Kim et al, 2015;Sabahi and Parast, 2020;Orlando et al, 2022). In view of current advancements, innovative technologies in the area of big data analytics or artificial intelligence may lead to increased SCRES (Bag et al, 2021;Iftikhar et al, 2022;Ivanov and Dolgui, 2021). With regard to the DCV, a firm's resources must be continuously adapted to changing market conditions through innovations.…”

A Survey on Digital Agriculture in Five West African Countries

“…To explore research on technology adoption in agriculture and understand the determinants of technology adoption using models such as the technology acceptance model, a bibliometric analysis was conducted [6]. Annas et al [7] conducted a literature review on digital innovation, data analysis and resilience chain. Alireza Abdollahi et al in [8] did a literature review on sensor networks in agriculture from 2020 to 2021.…”

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

“…Among the most prominent SCRES strategies Min (2019) proposed SCRES as a potential application area of blockchain technology (BT). According to the study, BT has the potential to alleviate risks and uncertainty and enhance SCRES with the help of its features of immutability, traceability, risk management and smart contracts (Iftikhar et al, 2022). Dubey et al (2020) argued that BT could be successfully utilised to enhance transparency, swift trust (Shayganmehr et al, 2021), and further improve collaboration along with improved supply chain resilience (SCRES) in a humanitarian SC.…”

“…Second, this study develops a relationship between blockchain and its impact on supply chain resilience (SCRES) by exploring the studies reviewed as per the review protocol. Past studies also indicate that BT plays a pivotal role in enhancing the SCRES (Dubey et al, 2020 ; Iftikhar et al, 2022 ) while SCRES itself presents as an area of interest for many scholars and industry experts since its strategies provide ways to thwart disruptive events (Tukamuhabwa et al, 2015 ). Third, the study proposes research agenda based on Whetten ( 1989 ) “5W and 1H approach” i.e., “what, who, why, when, where and how” and develops a comprehensive research framework for BT and its identified features from the literature.…”