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The social side of spatial decision support systems: Investigating knowledge integration and learning
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Environmental Science. WageningenUniversity and Research, Wageningen, The Netherlands.
University and Research, Wageningen, The Netherlands.
University and Research, Wageningen, The Netherlands.
University and Research, Wageningen, The Netherlands.
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2017 (English)In: Environmental Science and Policy, ISSN 1462-9011, E-ISSN 1873-6416, Vol. 76, 177-184 p.Article in journal (Refereed) Published
Abstract [en]

Abstract Spatial decision support systems (SDSS) represent a step forward in efforts to account for the spatial dimension in environmental decision-making. The aim of SDSS is to help policymakers and practitioners access, interpret and understand information from data, analyses and models, and guide them in identifying possible actions during a decision-making process. Researchers, however, report difficulties in up-take of SDSS by the intended users. Some suggest that this field would benefit from investigation of the social aspects involved in SDSS design, development, testing and use. Borrowing insights from the literature on science-policy interactions, we explore two key social processes: knowledge integration and learning. Using a sample of 36 scientific papers concerning SDSS in relation to environmental issues, we surveyed whether and how the selected papers reported on knowledge integration and learning. We found that while many of the papers mentioned communication and collaboration with prospective user groups or stakeholders, this was seldom underpinned by a coherent methodology for enabling knowledge integration and learning to surface. This appears to have hindered SDSS development and later adoption by intended users.

Place, publisher, year, edition, pages
2017. Vol. 76, 177-184 p.
Keyword [en]
Spatial decision support systems, Participatory processes, Knowledge integration, Learning, Science-policy interface, Environmental issues
National Category
Environmental Sciences Political Science
Identifiers
URN: urn:nbn:se:sh:diva-33073DOI: 10.1016/j.envsci.2017.06.015OAI: oai:DiVA.org:sh-33073DiVA: diva2:1128107
Available from: 2017-07-21 Created: 2017-07-21 Last updated: 2017-07-21Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf