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Sustainability
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The AI-Augmented Smart Transformation for Sustainable Governance
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The AI-Augmented Smart Transformation for Sustainable Governance

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (26 March 2023) | Viewed by 8296

Special Issue Editors

Prof. Dr. Seunghwan Myeong

E-Mail Website
Guest Editor
Department of Public Administration, Inha University, Incheon 22188, Republic of Korea
Interests: smart cities; smart e-governance; digital divide; information management in public organizations; government innovation and project management; information technology and communication policy; research methodology
Special Issues, Collections and Topics in MDPI journals
Dr. Younhee Kim

E-Mail Website
Guest Editor
School of Public Affairs, Pennsylvania State University Harrisburg, Middletown, PA, USA
Interests: smart cities; e-governance; public management; performance measurement; public entrepreneurship; citizen participation; information technology policy; research methodology
Special Issues, Collections and Topics in MDPI journals
Dr. Michael J. Ahn

E-Mail Website
Guest Editor
Department of Public Policy and Public Affairs, University of Massachusetts Boston, Boston, MA 02125, USA
Interests: electronic government; smart cities; AI in the public sector; technology innovations; social media; public management; public administration education; quantitative and qualitative research methodology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial Intelligence (AI) has become a key enabler in the Fourth Industrial Revolution regime to expedite government capacities in identifying and managing rapidly changing social problems and issues. The use of AI technologies has been morphed to facilitate government prediction to mitigate problems and effectively simulate solutions. With the increasing progress of various AI applications and algorithms, grasping AI’s potential in terms of government is critical to transforming its rigid legacy systems into agile platforms. The AI-augmented government can enhance its capacities to become more proactive in shaping the necessary developments and mobilize society to become more sustainable in response to rapid social changes and emerging challenges. Sustainable governance to drive society forward needs practical strategies and implementations to generate competitive advantages by using AI technologies.

This Special Issue explores the landscape of AI technologies and AI-augmented practices in government and identifies the contemporary issues and challenges for the phased adaptions toward sustainable development. This Special Issue will contribute to search for ways to make changes and prevent future substantial failures for government and society. This issue welcomes analytical, descriptive, and explanatory approaches focused on policy initiatives, case studies, empirical evidence, and novel insights to promote AI-augmented sustainable governance in the local, national and international context.

Prof. Dr. Seunghwan Myeong
Dr. Younhee Kim
Dr. Michale J. Ahn
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • AI applications for smart cities and governance
  • best practices of AI-augmented applications in the public sector
  • sustainable strategies and policy initiatives for AI applications
  • use of predictive analytics and algorithms in the public sector
  • smart management with innovative AI technologies
  • digital transformation around AI for smart and sustainable development
  • AI-driven smart cities

Published Papers (2 papers)

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Research

22 pages, 591 KiB  
Article
Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector
by Yu-Che Chen, Michael J. Ahn and Yi-Fan Wang
Sustainability 2023, 15(6), 4796; https://doi.org/10.3390/su15064796 - 08 Mar 2023
Cited by 6 | Viewed by 4877
Abstract
While there has been growth in the literature exploring the governance of artificial intelligence (AI) and recognition of the critical importance of guiding public values, the literature lacks a systematic study focusing on public values as well as the governance challenges and solutions [...] Read more.
While there has been growth in the literature exploring the governance of artificial intelligence (AI) and recognition of the critical importance of guiding public values, the literature lacks a systematic study focusing on public values as well as the governance challenges and solutions to advance these values. This article conducts a systematic literature review of the relationships between the public sector AI and public values to identify the impacts on public values and the governance challenges and solutions. It further explores the perspectives of U.S. government employees on AI governance and public values via a national survey. The results suggest the need for a broad inclusion of diverse public values, the salience of transparency regarding several governance challenges, and the importance of stakeholder participation and collaboration as governance solutions. This article also explores and reports the nuances in these results and their practical implications. Full article
(This article belongs to the Special Issue The AI-Augmented Smart Transformation for Sustainable Governance)
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25 pages, 1294 KiB  
Article
Effects of Application of Information on the Expectations of Benefits from GaaP: Moderating Effects from Perceptions of IIT
by Hyungjun Seo and Seunghwan Myeong
Sustainability 2022, 14(3), 1624; https://doi.org/10.3390/su14031624 - 30 Jan 2022
Cited by 2 | Viewed by 2296
Abstract
In the age of digital transformation, this study aims to reveal the determinant factors of the expectations of public officials of the benefits from Government as a Platform (GaaP). This study utilizes information as an independent variable, with the perception of intelligent information [...] Read more.
In the age of digital transformation, this study aims to reveal the determinant factors of the expectations of public officials of the benefits from Government as a Platform (GaaP). This study utilizes information as an independent variable, with the perception of intelligent information technologies (IIT) as a moderating variable, along with practical effects from three types of GaaP (cooperative GaaP, intelligent GaaP, and transparent GaaP) as dependent variables in establishing our research model. We conducted multiple regression analysis and moderating effect analysis to verify the proposed hypotheses. The robust regression relation analysis was adopted to solve outlier problems. Based on the results, we recommend that governments promote favorable circumstances for using information and that all government officials should get used to utilizing IIT in their jobs. The government also needs to adopt the bottom-up approach for adopting IIT or innovation. We also found that leaders need to be careful when considering a top-down approach in the public sector because strong leadership is a double-edged sword. Full article
(This article belongs to the Special Issue The AI-Augmented Smart Transformation for Sustainable Governance)
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