Digital Supply Chain Resilience: Analyzing the Literature Using a Topic Modeling Approach

Abstract

The Covid-19 pandemic highlighted digitalization's crucial role in creating resilient supply chains. Academics believe that technologies like Big Data Analytics, the Internet of Things, Blockchain, and Cloud Computing enhance supply chain visibility and transparency. Leveraging these technologies helps firms proactively anticipate disruptions, adapt swiftly, and cultivate resilient and agile supply chains. Although the pandemic accelerated the adoption of digital technologies in supply chain management, comprehensive academic research on digital supply chain resilience is lacking. The primary objective of this study is to thoroughly explore the existing body of literature in this field and analyze it to capture the knowledge that has been neglected in the previous research. Through text mining and topic modeling, we identified the research topics and trends. Finally, we identified digital transformation, viable supply chain, Internet-of-Things, Blockchain, Machine Learning, and Artificial Intelligence as the promising research directions in the field of digital supply chain resilience.