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Related Experiment Videos

Do users ignore spatial data quality? A decision-theoretic perspective.

P A J van Oort1, A K Bregt

  • 1Wageningen University, Centre for Geo-Information, Netherlands. pepijn.vanoort@wur.nl

Risk Analysis : an Official Publication of the Society for Risk Analysis
|March 2, 2006
PubMed
Summary

Risk analysis (RA) for spatial data is rarely adopted. Users are more willing to invest in RA when decisions have higher stakes and feedback mechanisms are present, according to decision theory.

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Area of Science:

  • Geographical Information Science (GISc)
  • Decision Theory
  • Spatial Data Analysis

Background:

  • Risk analysis (RA) is proposed for assessing spatial data fitness for use.
  • RA adoption is low despite potential for improved decision-making.
  • Existing literature often cites educational and technical barriers.

Purpose of the Study:

  • To investigate factors influencing user willingness to allocate resources for RA.
  • To propose and test hypotheses based on decision theory.

Main Methods:

  • Development of hypotheses grounded in decision theory.
  • Testing hypotheses via a questionnaire survey.

Main Results:

  • Willingness to spend resources on RA is significantly influenced by feedback mechanisms in decision-making.

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  • The amount at stake in a decision is a key factor affecting RA resource allocation.
  • The modelability of the decision-making process has a minor impact on RA adoption.

    • Conclusions:

    • User willingness to adopt RA for spatial data is primarily driven by decision context, not solely technical or educational factors.
    • Decision theory provides a valuable framework for understanding RA adoption barriers.
    • Future research should consider the role of decision stakes and feedback in promoting RA utilization.