연구정보
[IT] Procurement of Artificial Intelligence Systems in UAE Public Sectors: An Interpretive Structural Modeling of Critical Success Factors
아랍에미리트 국외연구자료 연구보고서 Sustainability 발간일 : 2024-09-05 등록일 : 2024-09-12 원문링크
자료이용안내
국내외 주요 기관에서 발표하는 자료들을 수집하여 제공하고 있습니다. 수록 자료의 자세한 내용은 해당 기관으로 문의하시기 바랍니다.
This study investigates the critical success factors (CSFs) influencing the procurement of artificial intelligence (AI) systems within the United Arab Emirates (UAE) public sector. While AI holds immense potential to enhance public service delivery, its successful integration hinges on critical factors. This research utilizes Interpretive Structural Modeling (ISM) to analyze the CSFs impacting AI procurement within the UAE public sector. Through ISM, a structural model is developed to highlight the interrelationships between these CSFs and their influence on the procurement process, outlining the key elements for successful AI procurement within the UAE public sector. Based on the literature review and expert validation from the UAE public sector, ten CSFs were identified. This study found that clear needs assessment is the most influential CSF, while the long-term value of AI systems or services is the least influential. This study provides policymakers and public sector leaders with valuable insights, enabling them to formulate effective strategies to optimize the procurement process and establish a strong foundation for AI adoption. Finally, this will lead to an improved and more efficient public service delivery in the UAE.
본 페이지에 등재된 자료는 운영기관(KIEP) 및 EMERiCs의 공식적인 입장을 대변하고 있지 않습니다.
이전글 | [환경] Climate Change and Health: Perspectives From Ghana | 2024-09-06 |
---|---|---|
다음글 | [경제] Trade Gap and Public Debt Sustainability in Nigeria | 2024-09-12 |