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How to Use Artificial Intelligence to Improve Entrepreneurial Attitude in Business Simulation Games: Implications From a Quasi-Experiment.
Chen, Jiachun; Chen, Yuxuan; Ou, Ruiqiu; Wang, Jingan; Chen, Quan.
Afiliación
  • Chen J; Department of Management, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China.
  • Chen Y; School of Economics and Management, Hanshan Normal University, Chaozhou, China.
  • Ou R; Department of Management, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China.
  • Wang J; Department of Management, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China.
  • Chen Q; Department of Management, Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan, China.
Front Psychol ; 13: 856085, 2022.
Article en En | MEDLINE | ID: mdl-36467165
Business simulation games (BSGs) have been widely used in entrepreneurship education with positive effects. However, there are still some deficiencies in the BSGs, such as limited guidance, low uncertainty and limited simulation environment, which make it impossible to exert the maximum effect. Artificial intelligence (AI) can solve the above shortcomings. The combination of AI and BSGs is the possible development direction of BSGs. But how to effectively combine BSGs with AI is still an open question. Using a quasi-experimental design, this study uses fuzzy-set qualitative comparative analysis to analyze how participants' entrepreneurial attitude changes in BSGs. The results show that BSGs can effectively improve entrepreneurial attitude, and there are four types of promotion configurations. These four configurations consist of five antecedent conditions. According to the above conclusions, AI can improve entrepreneurial attitude in BSGs in various ways, such as simulating competitors, providing targeted feedback for failures, and improving game experience. The contribution of this paper is to highlight the possibility of combining AI with BSGs, and to provide suggestions on how AI can intervene in BSGs.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Front Psychol Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Qualitative_research Idioma: En Revista: Front Psychol Año: 2022 Tipo del documento: Article País de afiliación: China