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Intelligent Public Organisations

Author

Listed:
  • Jari Stenvall

    (University of Tampere)

  • Petri Virtanen

    (University of Tampere)

Abstract

The article explores the nature of the intelligence and organisational learning of public sector organisations with regard to both individual organisations and multiple organisational ecosystems. The main ideas behind modern systems theory (MST) and the logic developed by the MST theorists in the domain of organisational intelligence are pinpointed in the paper. The article presupposes that the basic structure of the organisational features of intelligence consists of leadership, strategy and foresight, people, partnerships and resources, and organisational processes, and the intelligence builds on these features. The article concludes with an explicit definition of the organisational activities that generate organisational intelligence, putting forward best practice examples with regard to these activities while also presenting scientific evidence to back up these claims.

Suggested Citation

  • Jari Stenvall & Petri Virtanen, 2017. "Intelligent Public Organisations," Public Organization Review, Springer, vol. 17(2), pages 195-209, June.
    • Handle: RePEc:kap:porgrv:v:17:y:2017:i:2:d:10.1007_s11115-015-0331-1
    DOI: 10.1007/s11115-015-0331-1
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    References listed on IDEAS

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    Cited by:

    1. Vesa Tiitola & Maria Marek & Tuomas Korhonen & Teemu Laine, 2023. "Enabling value-in-use with digital healthcare technologies: combining service logic and pragmatic constructivism," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 841-871, September.
    2. Hanna Godlewska-Majkowska & Agnieszka Komor, 2019. "Intelligent Organization in a Local Administrative Unit: From Theoretical Design to Reality," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 290-307.
    3. Steve J. Bickley & Benno Torgler, 2020. "A Systematic Approach to Safety Incidents in Public Health – Applying the Human Factors Analysis and Classification System to COVID-19," CREMA Working Paper Series 2020-13, Center for Research in Economics, Management and the Arts (CREMA).

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