Charles H. Levine Award for the Best Conference Paper in the Public and Nonprofit Division
Purpose. The purpose of this paper is to explore the impact of artificial intelligence (AI) adoption in the public sector organizations. The investigation seeks to delve into the multiple facets involved in the adoption of AI technologies by public organizations, discerning the complexities and implications of this transformative journey. Design/methodology/approach. We conducted a meta-synthesis of the qualitative literature on the topic of artificial intelligence in the public sector. Drawing from 15 systematically selected qualitative studies, we explored the various aspects related to how public organizations adopt AI technologies, with reference to the factors and challenges influencing its adoption. Findings. The results identify the main factors influencing the adoption of AI in the public sector, highlighting the involvement of organizational, technological, social, and environmental factors. Despite the presence of multiple barriers, there are just as many challenges and opportunities to effectively adopt AI in the public sector. Originality/value. This study seeks to analyze a significant number of qualitative studies regarding AI adoption within the public sector, highlighting the need for further investigation into this crucial topic.