Kotaro Ohori's Home Page (Japanese page is here. )

   

Profile

  Kotaro Ohori

 

 Research Associate, Department of Industrial and Management Systems Engineering, Waseda University

 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan


 E-mail:


 
 
 
 
 
 
 

Current research topic

Reserch Field: Systems Theory/ Systems Science(Agent-based Approach)

Keywords: Marketing/ Technology Management

 

 
 

 

Recent Studies

-Market Dynamics-

 In recent years rapid technological innovation and globalization have intensified competitions among firms in many markets, and increased market uncertainty and complexity. It is difficult, therefore, for decision makers or policy makers in the markets to judge how right management systems are and where they should invest management resources in. Then we need to comprehend market mechanisms and to analyze market dynamics resulted from the market uncertainty and complexity. To observe the dynamics, our study provides a novel market framework, CAMCaT (Coevolutionary Agent-based Model for Consumers and Technologies), for describing coevolution of consumers' preferences and firms' technologies based on the agent-based learning model. In previous our reserches, we used the CAMCaT framework to build some specific agent-based models for analyzing standard competitions, innovator's dilemma and lead users innovation.

-Marketing System-

 In this study we provide a marketing system for supporting decision making of firms in target marketing. It is hard for firms' marketing departments to decide the target customers, since they have no past purchase data of customers when developing or launching new products. The marketing system is helpful for them to extract customers who give a higher evaluation to a product developed by them. We conduct some demonstrations as an example of simulations in the car market and mobile phone market by using the system. The result shows that the system is valid and effective, since the system developed can extract customers' features based on a system user's cognition to the market. Future directions of this study are to apply the system to extract technologies that have higer values in a future market and a conviniece store's sale strategies that fit to location of the store.