Examining how AI capabilities can foster organizational performance in public organizations-Reference-Cited by-同舟云学术

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Examining how AI capabilities can foster organizational performance in public organizations

Published:2023-04 Issue:2 Volume:40 Page:101797
ISSN:0740-624X
Container-title:Government Information Quarterly
language:en
Short-container-title:Government Information Quarterly

Author:

Mikalef Patrick,Lemmer Kristina,Schaefer Cindy,Ylinen Maija,Fjørtoft Siw Olsen,Torvatn Hans Yngvar,Gupta Manjul,Niehaves Bjoern

Publisher

Elsevier BV

Subject

Law,Library and Information Sciences,Sociology and Political Science

Reference83 articles.

1. Artificial intelligence as digital agency;Ågerfalk;European Journal of Information Systems,2020

2. Integration of non-market and market activities in cross-border mergers and acquisitions;Ahammad;British Journal of Management,2017

3. Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality;Akter;Production Planning and Control,2017

4. Automating E-government services with artificial intelligence;Al-Mushayt;IEEE Access,2019

5. Transforming the communication between citizens and government through AI-guided chatbots;Androutsopoulou;Government Information Quarterly,2019

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trust in AI and Top Management Support in Generative-AI Adoption;Journal of Computer Information Systems;2024-09-12

2. Digital transformation decoupling: The impact of willful ignorance on public sector digital transformation;Government Information Quarterly;2024-09

3. Automation bias in public administration – an interdisciplinary perspective from law and psychology;Government Information Quarterly;2024-09

4. Artificial Intelligence applications and effects on business communication among marketing professionals;International Journal of Research Studies in Management;2024-08-15

5. Navigating human-AI dynamics: implications for organizational performance (SLR);International Journal of Organizational Analysis;2024-07-19

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