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Recent advancements in artificial intelligence (AI) are expected to have a major impact on the ways governments provide services to the population. The major objective of this paper is to identify success factors for AI adoption in public sector organizations and understand the interrelationships among them. Eleven factors were identified from the literature and were modeled using ISM method. The results show “Top Management Support” and “Supportive Regulatory Environment” as the most important drivers enabling AI adoption in e-government. Further, the variable “Training and Skill Development” is found to be a critical link in developing “AI-Driven Services Ecosystem” leading to business process transformation in e-government. The findings of this study are expected to provide an insight to further improve and promote adoption of AI-based solutions in facilitating e-government. The results of the study are among the first academic attempt to shed light on the key role of enablers supporting AI adoption in an emerging economy.

Artificial Intelligence Adoption for E-Government: Analysis of Enablers in an Emerging Economy