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Big Data Approach as an Institutional Innovation to Tackle Hong Kong’s Illegal Subdivided Unit Problem

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  • Yung Yau

    (Department of Public Policy, City University of Hong Kong, Hong Kong, China)

  • Wai Kin Lau

    (Department of Construction Technology and Engineering, Technological and Higher Education Institute of Hong Kong, Hong Kong, China)

Abstract

While applications of big data have been extensively studied, discussion is mostly made from the perspectives of computer science, Internet services, and informatics. Alternatively, this article takes the big data approach as an institutional innovation and uses the problem of illegal subdivided units (ISUs) in Hong Kong as a case study. High transaction costs incurred in identification of suspected ISUs and associated enforcement actions lead to a proliferation of ISUs in the city. We posit that the deployment of big data analytics can lower these transaction costs, enabling the government to tackle the problem of illegal accommodations. We propose a framework for big data collection, analysis, and feedback. As the findings of a structured questionnaire survey reveal, building professionals believed that the proposed framework could reduce transaction costs of ISU identification. Yet, concerns associated with the big data approach like privacy and predictive policing were also raised by the professionals.

Suggested Citation

  • Yung Yau & Wai Kin Lau, 2018. "Big Data Approach as an Institutional Innovation to Tackle Hong Kong’s Illegal Subdivided Unit Problem," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2709-:d:161377
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    References listed on IDEAS

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    Cited by:

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    2. 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.
    3. Hameeda A. AlMalki & Christopher M. Durugbo, 2023. "Systematic review of institutional innovation literature: towards a multi-level management model," Management Review Quarterly, Springer, vol. 73(2), pages 731-785, June.
    4. Syed Asad Abbas Bokhari & Myeong Seunghwan, 2024. "How Do Institutional and Technological Innovations Influence the Smart City Governance? Focused on Stakeholder Satisfaction and Crime Rate," Sustainability, MDPI, vol. 16(10), pages 1-21, May.
    5. Yung Yau, 2018. "Tripartite Efficacy Beliefs and Homeowner Participation in Multi-Owned Housing Governance," Sustainability, MDPI, vol. 10(9), pages 1-17, September.
    6. Russell Tatenda Munodawafa & Satirenjit Kaur Johl, 2019. "Big Data Analytics Capabilities and Eco-Innovation: A Study of Energy Companies," Sustainability, MDPI, vol. 11(15), pages 1-21, August.

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