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10.1145/3396956.3396993acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesdg-oConference Proceedingsconference-collections
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Toward Effective and Sustainable Smart City Model: Case study exploration of varying smart city approaches and outcomes

Published: 16 June 2020 Publication History

Abstract

This panel aims to explore selected cases of smart city projects to improve our understanding of the critical institutional factors and processes that lead to effective and sustainable smart city outcomes. This panel discusses compelling smart city cases, including Busan Metropolitan City, Songdo, Gimpo, and Namyang-ju. These cases apply different approaches to run smart city practices that are characterized as either a large-scale, top-down, capital-intensive and hardware-focused smart city project or a small-scale, bottom-up, less capital-intensive and data-training focused (as opposed to hardware-focused) smart city project. This panel will highlight the varying outcomes and impacts of different smart city approaches and identify key institutional factors and strategies that contribute to effective and sustainable smart city outcomes.

References

[1]
J. R. Gil-Garcia, N. Helbig, and A. Ojo. 2014. Being smart: Emerging technologies and innovation in the public sector. Government Information Quarterly 31, Supplement 1 (June 2014), I1-I8.
[2]
A. Meijer and M. P. R Bolívar. 2016. Governing the smart city: A review of the literature on smart urban governance. International Review of Administrative Sciences, 82, 2 (June 2016), 392–408.

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dg.o '20: Proceedings of the 21st Annual International Conference on Digital Government Research
June 2020
389 pages
ISBN:9781450387910
DOI:10.1145/3396956
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2020

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Author Tags

  1. Smart government
  2. Smart government models
  3. data analytics
  4. drone
  5. government innovation

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dg.o '20

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Overall Acceptance Rate 150 of 271 submissions, 55%

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