Public AI canvas for AI-enabled public value: A design science approach

被引:18
|
作者
Fatima, Samar [1 ]
Desouza, Kevin C. [1 ,2 ]
Buck, Christoph [2 ]
Fielt, Erwin [3 ]
机构
[1] Queensland Univ Technol, Sch Management, QUT Business Sch, GPO Box 2434, Brisbane, Qld 4001, Australia
[2] Queensland Univ Technol, Ctr Future Enterprise, QUT Business Sch, Brisbane, Qld, Australia
[3] Queensland Univ Technol, Sch Informat Syst, Brisbane, Qld, Australia
关键词
Artificial intelligence; Business model canvas; Public agencies; Public value; Design science; BUSINESS MODEL INNOVATION; ARTIFICIAL-INTELLIGENCE; INFORMATION-SYSTEMS; E-GOVERNMENT; CITIZEN SATISFACTION; SECTOR; TRANSPARENCY; PERSPECTIVE; CHALLENGES; ALGORITHMS;
D O I
10.1016/j.giq.2022.101722
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Public agencies have a strong interest in artificial intelligence (AI) systems. However, many public agencies lack tools and frameworks to articulate a viable business model and evaluate public value as they consider investing in AI systems. The business model canvas used extensively in the private sector offers us a foundation for designing a public AI canvas (PAIC). Employing a design science approach, this study reports on the design and evaluation of PAIC. The PAIC comprises three distinctive layers: (1) the public value-oriented AI-enablement layer; (2) the public value logic layer; and (3) the public value-oriented social guidance layer. PAIC offers guidance on innovating the business models of public agencies to create and capture AI-enabled value. For practitioners, PAIC presents a validated tool to guide AI deployment in public agencies.
引用
收藏
页数:16
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