AI-Enabled Opportunities and Transformation Challenges for SMEs in the Post-pandemic Era: A Review and Research Agenda

Xiaoqian Lu, Kumud Wijayaratna, Yufei Huang, Aimei Qiu*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

The negative impact of COVID-19 pandemic has seen SME's struggling around the world. With many quickly adopting digital technologies, such as AI, in their manufacturing or services operations to achieve sustainable development. This study aims to develop a framework that informs AI-enabled sustainable development for SMEs by integrating the relevant research in the field. In this framework, we identify the opportunities that the deployment of AI technology can do to alleviate the plights of SMEs in the post-pandemic era, including the impacts on work, organizations, and performance. We further explore the challenges that SMEs face in AI transformation and recommend strategies to take on those challenges. Finally we propose an agenda for future research based on technological challenges and environmental threats.
Original languageEnglish
Article number885067
Number of pages11
JournalFrontiers in Public Health
Volume10
DOIs
Publication statusPublished - 29 Apr 2022

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