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Open data value capability architecture

Author

Listed:
  • Fatemeh Ahmadi Zeleti

    (IDA Business Park, Lower Dangan)

  • Adegboyega Ojo

    (IDA Business Park, Lower Dangan)

Abstract

To gain insight into customer’s needs and stay competitive, open data-driven organizations must acquire capabilities to generate different kinds of values from open data. With respect to open data capabilities, scholarly efforts articulating the nature and types of open data capabilities are very limited. To bridge this knowledge gap, we construct a theoretically-grounded open data value capability architecture that explains how open data-driven organizations can identify, map, develop and plan open data value capabilities. To demonstrate and validate the capability architecture, we implemented the architecture in two open data-driven organizations in Ireland. The application of the architecture revealed eight new open data value capabilities: Knowledge of data standards and Data on the Web Best Practices, Knowledge of data value, Data Strategy, Aggregation process (GPS), Database architecture, Knowledge of graph data models, Verifying data integrity, and Web-based front-end. We conclude that the Open data capability domain is yet to mature. Thus, more scholarly and empirical research is necessary in this area.

Suggested Citation

  • Fatemeh Ahmadi Zeleti & Adegboyega Ojo, 0. "Open data value capability architecture," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-016-9711-5
    DOI: 10.1007/s10796-016-9711-5
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    References listed on IDEAS

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    1. Cepeda, Gabriel & Vera, Dusya, 2007. "Dynamic capabilities and operational capabilities: A knowledge management perspective," Journal of Business Research, Elsevier, vol. 60(5), pages 426-437, May.
    2. Verworn, Birgit & Herstatt, Cornelius, 2002. "The innovation process: an introduction to process models," Working Papers 12, Hamburg University of Technology (TUHH), Institute for Technology and Innovation Management.
    3. Barbara Ubaldi, 2013. "Open Government Data: Towards Empirical Analysis of Open Government Data Initiatives," OECD Working Papers on Public Governance 22, OECD Publishing.
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    Cited by:

    1. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 2017. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 19(2), pages 189-195, April.
    2. Marijn Janssen & David Konopnicki & Jane L. Snowdon & Adegboyega Ojo, 0. "Driving public sector innovation using big and open linked data (BOLD)," Information Systems Frontiers, Springer, vol. 0, pages 1-7.
    3. Maciej Grzenda & Jaroslaw Legierski, 2021. "Towards Increased Understanding of Open Data Use for Software Development," Information Systems Frontiers, Springer, vol. 23(2), pages 495-513, April.
    4. Federico Cabitza & Angela Locoro & Carlo Batini, 2020. "Making Open Data more Personal Through a Social Value Perspective: a Methodological Approach," Information Systems Frontiers, Springer, vol. 22(1), pages 131-148, February.

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