How Can the Artificial Intelligence of Things Create Public Value? Lessons Learned from Use Cases

被引:1
作者
Lee G. [1 ]
机构
[1] Kogod School of Business, American University, 4400 Massachusetts Avenue NW, Washington, 20016, DC
来源
Digital Government: Research and Practice | 2023年 / 4卷 / 01期
关键词
artificial intelligence; machine learning; public value; The Internet of Things;
D O I
10.1145/3580604
中图分类号
学科分类号
摘要
The Artificial Intelligence of Things (AIoT) has the potential to create new public value. However, its application in government is in an early stage. This study identifies three technological capabilities - sensing, analytics, and controlling - as building blocks of an AIoT system and then proposes four value creation models that configure the building blocks differently. This research analyzes four use cases of AIoT systems deployed in the public transport sector that match the value creation models. Based on the analysis of the use cases, this study identifies critical success factors for public AIoT applications and makes recommendations to government leaders for creating public value through the effective deployment of AIoT systems. It concludes with discussion of limitations and future research areas. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
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共 17 条
[1]  
Agar M.H., Speaking of Ethnography, (1986)
[2]  
Beane M., Learning to work with intelligent machines, Harvard Business Review, 97, 5, pp. 140-148, (2019)
[3]  
DeNardis L., The Internet in Everything: Freedom and Security in a World with No Off Switch, (2020)
[4]  
Gao Y., Janssen M., The open data canvas–analyzing value creation from open data, Digital Government: Research and Practice, 5, 1, pp. 1-15, (2022)
[5]  
Gioia D.A., Corley K.G., Hamilton A.L., Seeking qualitative rigor in inductive research: Notes on the Gioia methodology, Organizational Research Methods, 16, 1, pp. 15-31, (2013)
[6]  
Ishengoma F.R., Shao D., Alexopoulos C., Saxena S., Nikiforova A., Integration of artificial intelligence of things (AIoT) in the public sector: Drivers, barriers and future research agenda, Digital Policy, Regulation and Governance, 24, 5, pp. 449-462, (2022)
[7]  
Kuguoglu B.K., van der Voort H., Janssen M., The giant leap for smart cities: Scaling up smart city artificial intelligence of things (AIoT) Initiatives, Sustainability, 13, 21, (2021)
[8]  
Lee G., What roles should the government play in fostering the advancement of the internet of things?, Telecommunications Policy, 43, 5, pp. 434-444, (2019)
[9]  
Lee G., Lewis R., Preparing for a connected world, in building a smart partnership for the fourth industrial revolution, The Atlantic Council, pp. 46-55, (2018)
[10]  
Medapati P.K., Tejo Murthy P.H.S., Sridhar K.P., LAMSTAR: For IoT-based face recognition system to manage the safety factor in smart cities, Transactions on Emerging Telecommunications Technologies, 31, 12, (2020)