Lu, Xiaoqian, Wijayaratna, Kumud, Huang, Yufei and Qiu, Aimei (2022) AI-Enabled Opportunities and Transformation Challenges for SMEs in the Post-pandemic Era: A Review and Research Agenda. Frontiers in Public Health, 10. p. 885067. ISSN 2296-2565
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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.
| Item Type: | Article |
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| Additional Information: | Funding information: This research was supported by the Major Program of the National Social Science Foundation of China (Grant No. 20VHJ007), Soft Science Project of Fujian Province (Grant Nos. 2020R0066 and 2020R0067), and Xiamen Federation of Industry and Commerce (Grant No. H2021139). |
| Uncontrolled Keywords: | Public Health, post-pandemic recovery, pandemic, AI technology, SMEs, continuous development |
| Subjects: | N100 Business studies N200 Management studies |
| Department: | Faculties > Business and Law > Newcastle Business School |
| Depositing User: | Rachel Branson |
| Date Deposited: | 16 May 2022 10:21 |
| Last Modified: | 16 May 2022 10:30 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/49133 |
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