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VALIDITY IN DESIGN SCIENCE.

Kai R Larsen1, Roman Lukyanenko2, Roland M Mueller3

  • 1Leeds School of Business, University of Colorado, Boulder, CO 80309 U.S.A.

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Summary
This summary is machine-generated.

This study introduces a Design Science Validity Framework to help researchers clearly demonstrate and communicate the validity of knowledge claims from their artifact development and evaluation work.

Keywords:
Design Science Validity Frameworkcausal validitycharacteristic validitycontext validitycriterion validitydesign sciencedesign science research (DSR)ecological validityefficacy validityexternal validityknowledge claimresearch validity

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Area of Science:

  • Information Science
  • Computer Science
  • Design Science Research Methodology

Background:

  • Validity is crucial but poorly understood in design science, hindering the communication of knowledge claims about developed artifacts.
  • Design science involves creating and evaluating artifacts like models, methods, and theories to solve problems, making validity assessment complex.
  • Existing methods lack a consistent approach to establishing and demonstrating the validity of knowledge generated through design science.

Purpose of the Study:

  • To define validity within the context of design science research.
  • To introduce a structured Design Science Validity Framework for assessing knowledge claims.
  • To provide a process model for applying the framework in research projects.

Main Methods:

  • Defining validity in design science.
  • Developing a framework with criterion, causal, and context validity types and subtypes.
  • Creating a process model for framework application.
  • Applying the framework to existing research examples.

Main Results:

  • The Design Science Validity Framework offers a systematic approach to articulating and validating knowledge claims.
  • The framework integrates validity considerations throughout the design science project lifecycle.
  • The framework's own validity is demonstrated through its application to existing research.

Conclusions:

  • The proposed framework enhances the rigor and clarity of design science research.
  • It provides a shared language and systematic process for establishing validity in design science.
  • This contributes to advancing design science methodology and the reliable generation of knowledge.