Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization

Sunil Tiwari, Pankaj Sharma, Ashish Kumar Jha*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

8 Citations (Scopus)

Abstract

Black Swan external contingencies like the COVID-19 pandemic or Suez Canal blockage have a significant impact on the technology adoption decisions in firms. At a firm level, supply chains are the segments that are most prone to disruption due to these shocks. Hence the need to study the role of these contingencies in enabling digitalization in supply chains. Modern supply chains operate in a strong institutional environment that influences various aspects like technology adoption and digitalization. In this study, we bring these two aspects together by applying an institutional and contingency theory perspective. We investigate the institutional forces and the effect of environmental contingencies on the digitalization of supply chains. We propose a generalizable model to investigate digitalization readiness independent of the technological artefact being implemented. To achieve the same, we identify the forces of digitalization in the supply chains from the review of the extant literature. We then model the forces of digitalization into a Bayesian Belief Network (BBN). The study finds that organizational readiness and people readiness are critical elements of digitalization readiness. Our study reports the importance of top management's involvement and employees' training as the critical forces aiding digitalization.

Original languageEnglish
Article number109063
JournalInternational Journal of Production Economics
Volume267
DOIs
Publication statusPublished - 1 Jan 2024

Bibliographical note

Funding Information:
This research was conducted with the financial support of Science Foundation Ireland under Grant Agreement No. 13/RC/2106_P2 at the ADAPT SFI Research Centre at Trinity College Dublin. ADAPT, the SFI Research Centre for AI-Driven Digital Content Technology, is funded by Science Foundation Ireland through the SFI Research Centres Programme.

Publisher Copyright:
© 2023 The Authors

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