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Related Experiment Videos

Does user satisfaction relate to adoption behavior?: an exploratory analysis using CPRS implementation.

C R Weir1, R Crockett, S Gohlinghorst

  • 1VA Salt Lake City Health Care System, USA.

Proceedings. AMIA Symposium
|November 18, 2000
PubMed
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User satisfaction measures predict system adoption, but the strength of this relationship varies. Direct reports of feelings and task-specific effectiveness were stronger predictors of adoption than general satisfaction or usability assessments.

Area of Science:

  • Health Informatics
  • Information Systems Research
  • Human-Computer Interaction

Background:

  • User satisfaction is frequently used as a proxy for user adoption in information system evaluations.
  • Direct empirical assessment of the relationship between user satisfaction and user adoption remains limited.
  • Understanding this link is crucial for successful information system implementation, particularly in healthcare.

Purpose of the Study:

  • To investigate the relationship between various user satisfaction measures and actual user adoption behaviors.
  • To determine which specific types of user satisfaction assessments are most predictive of system adoption.
  • To examine these relationships within the context of a large-scale health information system implementation.

Main Methods:

Related Experiment Videos

  • Explored the relationship between four distinct user satisfaction measures and five different user adoption behaviors.
  • Utilized data from the implementation of the Veteran's Health Administration Computerized Patient Record System 1.0.
  • Employed statistical analysis to assess the predictive power of satisfaction measures on adoption behaviors.

    • Main Results:

    • The relationship between user satisfaction and user adoption was found to be modest.
    • The predictive strength of satisfaction measures on adoption varied significantly based on the measurement approach used.
    • Direct reports of user affect and judgments of task efficacy demonstrated a stronger association with adoption behaviors compared to usability or general satisfaction metrics.

    Conclusions:

    • User satisfaction is a relevant, though not perfect, predictor of information system adoption.
    • The specific method used to measure user satisfaction critically influences its apparent relationship with adoption.
    • For predicting adoption, focusing on affective responses and task-specific efficacy may be more insightful than general usability or overall satisfaction.