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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.
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