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Data Governance as a Collective Action Problem

Author

Listed:
  • Olivia Benfeldt

    (Aalborg University
    Aalborg University)

  • John Stouby Persson

    (Aalborg University)

  • Sabine Madsen

    (Aalborg University)

Abstract

While governing data as an organizational asset has clear benefits, mobilizing an organization to implement data governance remains elusive for practitioners. On that account, this paper examines why governing data is difficult in local government organizations. Based on a literature review and an empirical case study, we establish the inherent challenges and build on the notion of collective action to theorize the problem of data governance. Following an engaged scholarship approach, we collect empirical material through six group interviews with 34 representatives from 13 different Danish municipalities. We extend existing data governance research with our problem triangle that identifies and explicates the complex relations between six distinct challenges: value, collaboration, capabilities, overview, practices, and politics. We demonstrate the value in theorizing data governance as a collective action problem and argue for the necessity of ensuring researchers and practitioners achieve a common understanding of the inherent challenges, as a first step towards developing data governance solutions that are viable in practice.

Suggested Citation

  • Olivia Benfeldt & John Stouby Persson & Sabine Madsen, 0. "Data Governance as a Collective Action Problem," Information Systems Frontiers, Springer, vol. 0, pages 1-15.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-019-09923-z
    DOI: 10.1007/s10796-019-09923-z
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    References listed on IDEAS

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    2. Amany Elbanna & Yogesh Dwivedi & Deborah Bunker & David Wastell, 2020. "The Search for Smartness in Working, Living and Organising: Beyond the ‘Technomagic’," Information Systems Frontiers, Springer, vol. 22(2), pages 275-280, April.

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