Enhancing public service delivery efficiency: Exploring the impact of AI

Q1 Economics, Econometrics and Finance
Abhinandan Kulal , Habeeb Ur Rahiman , Harinakshi Suvarna , N. Abhishek , Sahana Dinesh
{"title":"Enhancing public service delivery efficiency: Exploring the impact of AI","authors":"Abhinandan Kulal ,&nbsp;Habeeb Ur Rahiman ,&nbsp;Harinakshi Suvarna ,&nbsp;N. Abhishek ,&nbsp;Sahana Dinesh","doi":"10.1016/j.joitmc.2024.100329","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":16678,"journal":{"name":"Journal of Open Innovation: Technology, Market, and Complexity","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2199853124001239/pdfft?md5=5a50a1f5e2892d09bb7ab6c84a0a494c&pid=1-s2.0-S2199853124001239-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Open Innovation: Technology, Market, and Complexity","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2199853124001239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0

Abstract

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.

提高公共服务效率:探索人工智能的影响
本研究旨在探讨印度采用人工智能(AI)对公共服务效率的影响。在印度,采用人工智能对公共服务提供效率的影响尚未得到广泛探讨,本研究通过调查这一背景,填补了现有文献中的重大空白。通过比较分析方法,本研究评估了人工智能应用在提高公共服务效率方面的有效性。研究采用的定量研究设计借鉴了以往有关人工智能融入治理的文献,并将首席信息官(CIO)作为主要受访者。研究结果表明,采用人工智能后,以市民为中心的服务和市政流程有了明显改善。不过,对以人为本方面的影响不大。研究还强调了为成功实施人工智能做好基础设施准备的重要性。值得注意的是,只有 25% 的组织拥有先进的技术基础设施。这项研究具有独创性,它以首席信息官为主要受访者,并采用比较分析方法来评估人工智能应用在提高公共服务交付方面的有效性。本研究为政策制定者和从业人员提供了宝贵的见解。在强调有效政策和基础设施发展的必要性的同时,它还强调了人工智能在消除腐败风险、提高公共服务提供机制的整体效率和透明度方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Open Innovation: Technology, Market, and Complexity
Journal of Open Innovation: Technology, Market, and Complexity Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
11.00
自引率
0.00%
发文量
196
审稿时长
1 day
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信