Education System to Learn the Skills of Management Decision Making By Using Business Simulator  

Oleh:

Sakata, Daiki ; Akiyama, Yusuke ; Kaneko, Masaaki ; Kumagai, Satoshi

Jenis: Article from Proceeding
Dalam koleksi: The 14th Asia Pacific Industrial Engineering and Management Systems Conference (APIEMS), 3-6 December 2013 Cebu, Philippines, page 1-8.
Topik: Industrial Engineering Education; Simulation; Business game
Fulltext: 1217_JIMA.pdf (837.02KB)

Isi artikel

In business education, it is important to master skills related to management decision making. To do so, one method employed is the use of “business games.” It is thought that these games are a more effective method to inculcate management skills in students than typical lecture-style classes alone. Nowadays, business games are used in not only in educational institutions but also companies, to educate executives. The emphasis on experiential learning that these games put has the advantage of creating interactive relationships between teachers and students, so that students can receive more effective and intuitive business education. In this paper, we propose an educational system that involves a business game simulator and related curriculum. To develop these two elements, we examined the decision-making process related to business management and identified some significant skills thereby. In addition, we created an original simulator, named BizLator, to help students develop these skills efficiently. Next, we developed a curriculum suitable for the simulator. We confirmed the effectiveness of the simulator and curriculum in a business-game–based class at Aoyama Gakuin University in Tokyo. On the basis of this, we compared our education system with a conventional system. This allowed us to identify advantages of and issues with our proposed system. Based on the results of the verification, we will proceed to improve this system further. In particular, we will add a feedback system that gathers discussion content among students and questions asked by students to teaching assistants through ICT devices (i.e., portable devices like iPads, speech recognition devices, and so on), and analyzes that content using a text-mining method to identify student misunderstandings or problems. We find that the system improves students’ understanding and is helpful for helping teachers clarify how best to teach the material and which topics are difficult for students to understand.

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