Selecting indicators for the Smart City Pilot in Knowledge Oasis Muscat (KOM), Sultanate of Oman

Al-Mahrooqi, Shaima and Backhouse, Judy, "Selecting indicators for the Smart City Pilot in Knowledge Oasis Muscat (KOM), Sultanate of Oman" 13th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2020), Online, 2020/09/23-25.

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  • Sub-type Conference paper
    Author Al-Mahrooqi, Shaima
    Backhouse, Judy
    Title Selecting indicators for the Smart City Pilot in Knowledge Oasis Muscat (KOM), Sultanate of Oman
    Event Series International Conference on Theory and Practice of Electronic Governance (ICEGOV)
    Publication Date 2020-10
    Place of Publication New York
    Publisher ACM Press
    Pages 791-794
    Title of Event 13th International Conference on Theory and Practice of Electronic Governance (ICEGOV 2020)
    Date of Event 2020/09/23-25
    Place of Event Online
    Language eng
    Abstract This paper presents a process for selecting the most appropriate standard indicators for the Smart City Pilot being implemented in Knowledge Oasis Muscat (KOM) in the Sultanate of Oman, by the Information Technology Authority (ITA) in cooperation with the Public Establishment for Industrial Estate (Madayn). The indicators were selected by reviewing and analysing regional and international standards developed to measure smart city performance and progress. Seven indicator standards, with a total of 410 indicators were analysed. The selection of the indicators considered critical aspects of the pilot project. These included the strategic objective of implementing the pilot, the phase of the pilot development, the purpose of the assessment, the urban focus and the city sectors being addressed by the pilot. The results provide a suitable set of indicators from these standards, aligned with the assessment objectives and the smart city pilot project.
    Keyword smart city indicators
    smart city measures
    indicator sets
    smart city pilot
    research line governance
    Copyright Holder ACM Press
    Copyright Year 2020
    Copyright type All rights reserved
    ISBN 9781450376747
    DOI 10.1145/3428502.3428622
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    Created: Wed, 18 Nov 2020, 00:43:34 JST by Mario Peixoto on behalf of UNU EGOV