Design and natural science research on information technology
Decision Support Systems - Special issue on WITS '92
The sciences of the artificial (3rd ed.)
The sciences of the artificial (3rd ed.)
The emerging field of simulation & gaming: meanings of a retrospect
Simulation and Gaming
Simulation and Gaming: Introduction to the Art and Science of Design
Simulation and Gaming
Gaming and Simulation: Principles of a Science of Design
Simulation and Gaming
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Theory-oriented evaluation for the design of and research in gaming and simulation
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Guest editorial: artifact assessment versus theory testing
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Testing social theories in computer-mediated communication through gaming and simulation
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Applying a phenomenological approach to games analysis: a case study
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
An assessment of a mixed reality environment: toward an ethnomethodological approach
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Theory-oriented evaluation for the design of and research in gaming and simulation
Simulation and Gaming - Symposium: Artifact assessment versus theory testing
Simulation and Gaming
Social Choice in a Computer-Assisted Simulation
Simulation and Gaming
A First Life With Computerized Business Simulations
Simulation and Gaming
Gaming Research in Policy and Organization: An Assessment From the Netherlands
Simulation and Gaming
Mergers and Acquisitions in a Business Game
Simulation and Gaming
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Those who are involved in research in gaming and simulation find themselves in a dual position. One reason for this duality relates to the fact that researchers in gaming and simulation represent two distinct branches of science: the design and analytical sciences. The basic idea of the design sciences is to build and assess artifacts. The scientific method of the analytical sciences aims at developing and testing theories. Both pay attention to different notions of causality and apply different criteria of success. This article presents a framework both for artifact assessment and theory testing, which helps to better understand the distinct scientific and professional issues involved and to offer directions for cross-fertilization.