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Transparency Driven Public Sector Innovation: Smart Waterways and Maritime Traffic in Finland

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Information Systems (EMCIS 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 341))

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Abstract

Finland is set to take the lead in developing maritime digitalization and autonomous shipping. This transformation rests on transparency efforts by Finnish government, characterized by participatory democracy and co-creation of services in public sector, the end of innovation deficit in public services through introduction of dedicated innovation budgets and open data movement for re-usability purposes. The research employs action research methodology and aims to analyse two forms of transparency driven innovation that took place during 2016–2018 as part of waterway digitalisation initiative by Finnish Transport Agency: ‘Open Data Innovation’ as opening up government processes and data and ‘Open Door Innovation’ approach as transforming service delivery. Both approaches initially resulted in number of innovative services, unintended consequences occurred in later stages of digitalization phase due to the lack of interest from businesses and greater public. We conclude with lessons learned and share recommendations for government to succeed in digitalizing one of the most conservative industries.

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Authors and Affiliations

  1. Information Systems, Åbo Akademi University, Turku, Finland

    Vaida Meskauskiene, Anssi Öörni & Anna Sell

Authors
  1. Vaida Meskauskiene
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  2. Anssi Öörni
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  3. Anna Sell
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Corresponding author

Correspondence to Vaida Meskauskiene .

Editor information

Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. University of Coimbra, Coimbra, Portugal

    Paulo Rupino da Cunha

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Meskauskiene, V., Öörni, A., Sell, A. (2019). Transparency Driven Public Sector Innovation: Smart Waterways and Maritime Traffic in Finland. In: Themistocleous, M., Rupino da Cunha, P. (eds) Information Systems. EMCIS 2018. Lecture Notes in Business Information Processing, vol 341. Springer, Cham. https://doi.org/10.1007/978-3-030-11395-7_27

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  • DOI: https://doi.org/10.1007/978-3-030-11395-7_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11394-0

  • Online ISBN: 978-3-030-11395-7

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