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Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective

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Listed:
  • Syed Asad A. Bokhari

    (Center of Security Convergence & eGovernance, Inha University, Incheon 22212, Korea)

  • Seunghwan Myeong

    (Department of Public Administration, Inha University, Incheon 22212, Korea)

Abstract

The goal of this study is to investigate the direct and indirect relationships that exist between artificial intelligence (AI), social innovation (SI), and smart decision-making (SDM). This study used a survey design and collected cross-sectional data from South Korea and Pakistan using survey questionnaires. Four hundred sixty respondents from the public and private sectors were obtained and empirically analyzed using SPSS multiple regression. The study discovered a strong and positive mediating effect of SI between the relationship of AI and SDM, as predicted. Previous researchers have investigated some of the factors that influence the decision-making process. This study adds to the social science literature by examining the impact of a mediating factor on decision-making. The findings of this study will contribute to the local government in building smart cities such that the factor of social innovations should be involved in the decision-making process because smart decision-making would share such collected data with entrepreneurs, businesses, and industries and would benefit society and all relevant stakeholders, including such social innovators.

Suggested Citation

  • Syed Asad A. Bokhari & Seunghwan Myeong, 2022. "Use of Artificial Intelligence in Smart Cities for Smart Decision-Making: A Social Innovation Perspective," Sustainability, MDPI, vol. 14(2), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:620-:d:719056
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    References listed on IDEAS

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    1. Seunghwan Myeong & Yuseok Jung & Eunuk Lee, 2018. "A Study on Determinant Factors in Smart City Development: An Analytic Hierarchy Process Analysis," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
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    Cited by:

    1. Tofail Alam & Muhammad Aftab & Zaheer Abbas & Kamoliddin Mannonov Murodjon Ugli & Syed Asad Abbas Bokhari, 2023. "Impact of E-Government Initiatives to Combat Corruption Mediating by Behavioral Intention: A Quantitative Analysis from Emerging Economies," Sustainability, MDPI, vol. 15(3), pages 1-18, February.
    2. Qinghong Cui & Run Chen & Ruirui Wei & Xiancun Hu & Guangbin Wang, 2023. "Smart Mega-City Development in Practice: A Case of Shanghai, China," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    3. Jiangyuan Fu & Huidan Xue & Fayuan Wang & Liming Wang, 2023. "The Impact of High-Quality Energy Development and Technological Innovation on the Real Economy of the Yangtze River Economic Belt in China: A Spatial Economic and Threshold Effect Analysis," Sustainability, MDPI, vol. 15(2), pages 1-14, January.
    4. Seunghwan Myeong & Syed Asad Abbas Bokhari, 2023. "Building Participative E-Governance in Smart Cities: Moderating Role of Institutional and Technological Innovation," Sustainability, MDPI, vol. 15(20), pages 1-23, October.

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