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
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
相关论文
共 50 条
  • [21] AI-enabled recruiting in the war for talent
    Black, J. Stewart
    van Esch, Patrick
    BUSINESS HORIZONS, 2021, 64 (04) : 513 - 524
  • [22] AI-enabled IT capability and organizational performance
    Wang, Fang
    SYSTEMS RESEARCH AND BEHAVIORAL SCIENCE, 2022, 39 (03) : 609 - 617
  • [23] Investigating Teachers' Use of an AI-Enabled System and Their Perceptions of AI Integration in Science Classrooms: A Case Study
    Shi, Lehong
    Ding, Ai-Chu
    Choi, Ikseon
    EDUCATION SCIENCES, 2024, 14 (11):
  • [24] AI-ENABLED NEXT-GENERATION COMMUNICATION NETWORKS: INTELLIGENT AGENT AND AI ROUTER
    Jiang, Chunxiao
    Ge, Ning
    Kuang, Linling
    IEEE WIRELESS COMMUNICATIONS, 2020, 27 (06) : 129 - 133
  • [25] Leveraging AI-Enabled Information Systems for Healthcare Management
    Amiri, Zahra
    JOURNAL OF COMPUTER INFORMATION SYSTEMS, 2024,
  • [26] AI-Enabled Collaborative Distributed Computing in Networked UAVs
    Mokhtar, Bassem
    IEEE ACCESS, 2024, 12 : 96515 - 96526
  • [27] AI-enabled digital identity - inputs for stakeholders and policymakers
    Mir, Umar
    Kar, Arpan Kumar Kumar
    Gupta, Manmohan Prasad
    JOURNAL OF SCIENCE AND TECHNOLOGY POLICY MANAGEMENT, 2022, 13 (03) : 514 - 541
  • [28] AI-enabled routing in next generation networks: A survey
    Aktas, Fatma
    Shayea, Ibraheem
    Ergen, Mustafa
    Saoud, Bilal
    Yahya, Abdulsamad Ebrahim
    Laura, Aldasheva
    ALEXANDRIA ENGINEERING JOURNAL, 2025, 120 : 449 - 474
  • [29] Public Value-Driven Assessment of Trustworthy AI in the Public Sector: A Review
    Bagheri, Samaneh
    Dirksen, Vanessa
    DISRUPTIVE INNOVATION IN A DIGITALLY CONNECTED HEALTHY WORLD, I3E 2024, 2024, 14907 : 3 - 13
  • [30] Adoption of AI-CRM for Public Value Creation
    Gabay, Hagar
    Jonathan, Gideon Mekonnen
    Reychav, Iris
    ELECTRONIC GOVERNMENT AND THE INFORMATION SYSTEMS PERSPECTIVE, EGOVIS 2024, 2024, 14913 : 130 - 135