Improving Decision Making Skills through Business Simulation Gaming and Expert Systems
| Autor: | Alexander Fuchsberger |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Artificial architecture
Knowledge management Business simulation Computer science business.industry 05 social sciences Virtual business Intelligent decision support system 050301 education Marketing and artificial intelligence computer.software_genre Experiential learning Expert system Artificial intelligence situated approach Intelligent agent Business analytics 0502 economics and business Business decision mapping Business activity monitoring Engineering design process business 0503 education computer 050203 business & management |
| Zdroj: | HICSS |
| DOI: | 10.1109/hicss.2016.107 |
| Popis: | Business simulations as experimental learning tools are common, but they usually train specific predetermined aspects. Research on artificial intelligence among business simulations is rare, and therefore, featured in this paper. The purpose of this research is to explore the use of business simulations games as an experimental learning tool through a contemporary, web-based application featuring artificial intelligence and mobile support. An expert system guides and advises the players, while they manage their virtual business in a competitive market against other participants. The core element is the design process of an artifact, based on the Design Science methodology. The training and learning effects on the participants are observed via the artifact itself in a series of experiments and an additional survey. Twenty-six students in Austria were chosen as the sample group to reveal and measure the improvements in decision making, experimental learning capabilities and the biasing ability of the artificial intelligence. |
| Databáze: | OpenAIRE |
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