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    An emerging typology of IT governance structural mechanisms in smart cities


    Maccani, Giovanni, Connolly, Niall, McLoughlin, Shane, Puvvala, Abhinay, Karimikia, Hadi and Donnellan, Brian (2020) An emerging typology of IT governance structural mechanisms in smart cities. Government Information Quarterly, 37 (4). ISSN 0740-624X

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    Abstract

    The institutionalisation of Smart City Functions (SCF) within local authorities creates significant IT Governance (ITG) challenges, including the need to foster a triadic alignment between the overall organization, the IT function and the SCF. Building on existing literature on ITG, smart cities, and the emerging conversation on Adaptive Governance in the public sector, the following exploratory question has been formulated for this study: How are ITG structural mechanisms implemented in city authorities to oversee and govern smart cities? To address this question, a qualitative multiple case study was carried out across three city authorities in Ireland characterised by diversity in their ITG structural arrangements to govern portfolios of smart city initiatives. From this analysis three types of ITG structural implementation are proposed named: Detached, Integrated, and Traditional. These are compared and discussed in relation to: (1) orientation of each approach; (2) decision-making authority; (3) alignment with the IT function and the overall municipal organization; and (4) the challenge perceived by the SCFs under each ITG arrangement. This research contributes to the academic conversation on adaptive governance, smart cities as well as to the broader ongoing debate on ITG in the public sector.
    Item Type: Article
    Keywords: IT governance; Structural governance mechanisms; Public sector; Smart cities; Adaptive governance;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 16347
    Identification Number: 10.1016/j.giq.2020.101499
    Depositing User: Prof. Brian Donnellan
    Date Deposited: 22 Jul 2022 10:05
    Journal or Publication Title: Government Information Quarterly
    Publisher: Elsevier
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/16347
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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