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    Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework


    Anthony Jnr, Bokolo, Abbas Petersen, Sobah, Helfert, Markus, Ahlers, Dirk and Krogstie, John (2021) Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework. Information Technology & People, 34 (4). pp. 1285-1312. ISSN 0959-3845

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    Abstract

    Purpose – In smart cities pervasive systems are deployed by enterprises and stakeholders in municipalities to provide digital services to citizens. But cities are faced with the challenge of achieving system pluggability, mainly service integration due to numerous actors and systems needed for smart urban transformation. Hence, there is need to employ a comprehensive and holistic approach to help achieve service integration of pervasive platforms. Therefore, this study presents an Enterprise Architecture Framework (EAF) to support smart urban transformation. Design/methodology/approach – In this study the design science research methodology is adopted based on a multi-case studies of two organizations and data is collected using semi-structured interview from an organizations and municipality in Norway to validate how service integration can be achieved by the developed EAF to address pluggability challenges faced in urban environment. Findings – Findings suggest that the presented EAF provides the structure to manage changes and maintain urban transformation and aims to align the business with the underlying information systems from the perspective of the stakeholders. Additionally, findings from the case studies modelled in ArchiMate language depict how service integration of different pervasive platforms provide digital services for smart urban transformation. Research limitations/implications – This research only employed semi-structured interviews to validate service integration of digital platforms, other identified dimensions of pluggability were not fully addressed in this study. Practical implications – Findings from the case studies provides insights on how pervasive platforms can be integrated to achieve a pluggable digital service from different stakeholders and data sources in practice. The developed EAF presented in this study provide a model that supports collection and exchange of data from different data sources in smart urban environment to enable the provision and consumption of digital services. Social implications – The developed EAF aids system pluggability of actors and systems in providing digital service such as smart urban transformation that contributes to sustainable use of electric mobility in cities. Originality/value – As cities increasingly deploy pervasive platforms to support urban innovation, researchers are seeking to explore how these platforms shape urban transformation. Presently, prior studies do not offer important insights into pervasive platform management from urban perspective. Against this backdrop, this study employs the information systems perspective of digital platforms literature roots in software development and physical product development to depict how the EAF can be employed to describe specific cases that integrate different pervasive platforms deployed by different stakeholders communicating to co-create collective digital services to citizens.
    Item Type: Article
    Additional Information: Cite as: Anthony Jnr, B., Abbas Petersen, S., Helfert, M., Ahlers, D. & Krogstie, J. 2021, "Modeling pervasive platforms and digital services for smart urban transformation using an enterprise architecture framework", Information technology & people (West Linn, Or.), vol. 34, no. 4, pp. 1285-1312.
    Keywords: Information systems, Smart cities, Pervasive platforms, Enterprise architecture framework; Ecosystem; ArchiMate modeling; System pluggability;
    Academic Unit: Faculty of Social Sciences > Research Institutes > Innovation Value Institute, IVI
    Faculty of Social Sciences > School of Business
    Item ID: 17851
    Identification Number: 10.1108/ITP-07-2020-0511
    Depositing User: Markus Helfert
    Date Deposited: 16 Nov 2023 14:27
    Journal or Publication Title: Information Technology & People
    Publisher: Emerald Insight
    Refereed: Yes
    Related URLs:
    URI: https://mu.eprints-hosting.org/id/eprint/17851
    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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