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

被引：20

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

来源：

GOVERNMENT INFORMATION QUARTERLY | 2022年 / 39卷 / 04期

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

页数：16

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