| Autor: |
Abhinandan Kulal, Habeeb Ur Rahiman, Harinakshi Suvarna, N. Abhishek, Sahana Dinesh |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 3, Pp 100329- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2199-8531 |
| DOI: |
10.1016/j.joitmc.2024.100329 |
| Popis: |
This study aims to investigate the impact of Artificial Intelligence (AI) adoption on public service delivery efficiency in India. It addresses a significant gap in existing literature by investigating the impact of AI adoption on public service delivery efficiency in India, a context that has not been extensively explored. Through a comparative analysis approach, the study assesses the effectiveness of AI applications in enhancing public service delivery. The quantitative research design employed in the study draws on previous literature on AI integration in governance and focuses on Chief Information Officers (CIOs) as primary respondents. The findings reveal significant improvements in citizen-centric services and municipal processes due to AI adoption. However, the impact on human-centric aspects is found to be moderate. The study also underscores the importance of infrastructure readiness for successful AI implementation. Notably, only 25 % of organizations were found to be possessing advanced technological infrastructure. This research is original in its focus on Chief Information Officers (CIOs) as primary respondents and its comparative analysis approach to assess the effectiveness of AI applications in enhancing public service delivery. This study offers valuable insights for policymakers and practitioners. Emphasizing the need for effective policies and infrastructure development, it highlights the potential of AI to eliminate corruption risks and enhance overall efficiency and transparency in public service delivery mechanisms. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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