We established the Research Center for Business Simulation in Yokohama National University in 2011. We believe Business Game is a powerful method for education and research of business administration. Yokohama Business Game (YBG) system is a useful tool to develop and operate business games. Using YBG, we have been developing and evaluating various business models.
Yokohama Business Game (YBG) is an online platform where people can develop and operate business games. From its development in 2001, YBG has been used in many educational and/or research institutes. However, understanding of the concept and availability of YBG is not sufficiently penetrated. For the purpose of expanding business game developers and users, and developing the methodology and technology of simulation & gaming, this paper provides a better understanding of YBG concepts and its potential. After showing the concept and history of YBG, the paper clarify the characteristics of YBG and show that the current YBG is based on the IT services supporting the business game activity and the user community. This implies that YBG can implement various types of business games and can be used for education and research efficiently and effectively.
Research objects in management sciences (for example, competitions between companies) have often strong interdependency and depend on the initial state, and hence the objects lack plasticity in the reality society. Accordingly, the inspection such as mathematics models is relatively difficult (even if the models are very efficient). In this paper, we make two games as an attempt using YBG in the inspection or the construction of the mathematics model in management sciences and analyze them in the framework of evolutionary games theory.
The usage of YBG in the YNU business simulation group for the analysis of business strategy will be described. Operation and corporate strategies should be discriminated. In the analysis of corporate strategy with YBG, it is believed that qualitative structure-selection model for gaming will be promising.
In this paper, we propose a method to decompose a set of full logs into log clusters based on an organizational structure simulation model, clarify the properties of the log clusters, compare them and analyze them. This method is unique, in a sense that it analyzes at an intermediate level between the macro statistical analysis of the entire log and the micro level description analysis of one log. In this paper, we applied our proposed method to the result of existing research of organizational simulation. We found that log clusters containing known properties and unknown properties are consistent with the results of log analysis from existing studies. From the decision tree analysis, we also found a characteristic difference between the log clusters about the nature of the decision included within.