He, G.S., Tran, T.T.H. and Leonidou, L.C. (2024) It's here to stay: Lessons, reflections, and visions on digital transformation amid public crisis. Technological Forecasting and Social Change, 206. 123557. ISSN 0040-1625
Abstract
The objective of this study is to propose a framework for organizing and evaluating digital transformation practices and trends amid the recent public crisis caused by the COVID-19 pandemic. In doing so, we provide a systematic review of 160 empirical articles on digital transformation during the pandemic published in 63 academic journals across disciplines such as marketing, management, business, and economics from 2020 to 2023. Our theoretical, methodological, and thematic analysis reveals how digital transformation has been accelerated in various interactions taking place at the organization-consumer, intra-organizational, organization-employee, inter-organizational, and organization-government levels. This analysis yields valuable insights into digital transformation practices amid the pandemic, presenting important practical implications for individuals, organizations, and governmental entities. Finally, various directions for future research on digital transformation in exogenous crises are recommended based on input by academics in the field, which helps to further expand its boundaries.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Elsevier Inc. This is an author produced version of an article published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Digital transformation; Organization; Management; Public crisis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Marketing Division (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Aug 2024 15:32 |
Last Modified: | 22 Aug 2024 15:32 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.techfore.2024.123557 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:216364 |
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Filename: Tech forecasting - Second revision - Main manuscript (2).pdf
Licence: CC-BY-NC-ND 4.0
