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Cited by 29E-Government and Public ServicesSmart Cities and TechnologiesPublic Policy and Administration Research

The DOI matches its Crossref record; 20 of the 21 references it cites were found in a registry or an index.

AI innovation for advancing public service: The case of China's first Administrative Approval Bureau

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Chen, Tao, Ran, Longya, Gao, Xian·2019·Proceedings of the 20th Annual International Conference on Digital Government Research
DOI 10.1145/3325112.3325243
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Abstract

The adoption of artificial intelligence (AI) is becoming increasingly popular in the public sector, but there is a severe lack of relevant theoretical research. The government of China also has high expectations for AI innovation. This paper proposes a four-stage model for AI development in public sectors to help public administrators think about the impact of AI on their organizations. We empirically investigate a case of AI adoption for delivering public services in local government in China. The findings improve our understanding of not only the status of AI innovation but also the factors motivating and challenging public sectors that are intending to adopt AI. Given that AI application in public sectors is still in its infancy, this study provides us with an opportunity to conduct longitudinal tracking of AI innovation in local government in China. This could help public administrators to think more comprehensively about the changes and transformations that AI may bring to the public sector.

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Citations

Cites

Research works printed but not linked: 29

  1. Business Insider, The Chatbots in Banking Report: How Chatbots can Transform Digital Banking. 2017.
  2. Capgemini, Unleashing the Potential of Artificial Intelligence in the Public Sector. 2018, Capgemini Consulting.
  3. 10.5555/987683.987897 · DOI
  4. Eggers, W.D., D. Schatsky and P. Viechnicki, AI-augmented Government:Using Cognitive Technologies to Redesign Public Sector Work. 2017, Deloitte Center for Government.
  5. Schatsky, D., C. Muraskin and G. Ragu, Cognitive Technologies: The Real Opportunities for Business. 2015, Deloitte.
  6. Mehr, H., Artificial Intelligence for Citizen Services and Government. 2017, Harvard Kennedy School.
  7. White House, Artificial intelligence, automation, and the economy. 2016.
  8. Chen, T., L. Ran and C. Ming, Research on the Application of Artificial Intelligence in Government Services. E-Government (in Chinese), 2018(03): p. 22-30.
  9. Hancock, M., M. Walport and M. Sedwill, Artificial Intelligence: Opportunities and Implications for the Future of Decision Making. 2016.
  10. He, Z., The Adapts and Transforms of Government in the Era of Artificial Intelligence. Administrative Reform (in Chinese), 2016. 8(8): p. 53-59.
  11. Barrett, K. and R. Greene, Is a 40-hour Workweek Enough in Government?. 2016.
  12. US Government Accountability Office, SSA Service Delivery Challenges. 2015.
  13. Baig, A., A. Dua and V. Riefberg, How US state governments can improve customer service. 2014.
  14. 10.5555/1654988 · DOI
  15. Walker, R.W., Georgia Solves Campaign Finance Data Challenge Via OCR - InformationWeek. 2014.
  16. Institute for Robotic Process Automation, What is Robotic Process Automation?. 2017.
  17. Cagigal, D., Bringing AI to Government. 2016, Public CIO.
  18. Zhongshan University and Alipay, Mobile Government Services Report (2017)-Innovation and Challenges. 2017.
  19. Schoemaker, P.J.H. and P.E. Tetlock, Building a more intelligent enterprise. MIT Sloan Management Review, 2017. 58(3): p. 28.
  20. Tito, J., Destination Unknown: Exploring the Impact of Artificial Intelligence on Government. 2017.
  21. Li, X., Security, Privacy and Ethical Challenges in the Application of Artificial Intelligence. Science & Technology Review (in Chinese), 2017. 35(15): p. 11-12.
  22. Liu, Y., Research on Government Services based on Artificial Intelligence Perspective. Informatization Construction (in Chinese), 2018(08): p. 22-24.
  23. Ni, D. and J. Ni, Innovation in Government Management based on Artificial Intelligence. Journal of Anqing Normal University (Social Science Edition) (in Chinese), 2017. 36(04): p. 99-102.
  24. 10.5555/129914 · DOI
  25. Wang, L., “From “Big Government” to “Strong Government”-A Brief Analysis of the Reform of Bureaucratic Government. JOURNAL OF GUANGXI YOUTH LEADERS COLLEGE(in Chinese), 2010. 20(2): p. 67-69.
  26. Levensaler, L., Workday BrandVoice: AI Maturity Model: The Four Waves of the Intelligent Business. 2017.
  27. Valle, R.S. and M. King, Existential-phenomenological alternatives for psychology /. 1978, New York: Oxford University Press.
  28. Chen, T., The Generation and Elimination of Government Big Data Barriers. Seeker (in Chinese), 2016(12): p. 14-18.
  29. Chen, J., Research on the Ethical Dilemma of the Development of Artificial Intelligence Technology. 2016, Jilin University.

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Metadata

Authors
Chen, T., Ran, L., & Gao, X.
Affiliations
  • Huazhong University of Science and Technology (CN)
  • University of Nebraska at Omaha (US)
ORCID
Venue
Proceedings of the 20th Annual International Conference on Digital Government Research
Publisher
ACM
Published
2019-06-18
Pages
100-108
ISSN
3050-8681 (ISSN-L)
DOI
10.1145/3325112.3325243
OpenAlex
W2950496142
Cited by
25
References
21
Citations by year
2026: 2 · 2025: 7 · 2024: 9 · 2022: 2 · 2021: 4 · 2019: 1
FWCI
12.06
Type
conference paper
Language
en
Open access
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)
Locations
Annual International Conference on Digital Government Research (publishedVersion)
Topics
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Urban Studies › Smart Cities and Technologies
  • Social Sciences › Public Administration › Public Policy and Administration Research
Keywords
artificial intelligence adoption, public sector innovation, public services, local government, AI implementation challenges, public administration, China

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