人工市場モデルを用いたデータ取引市場におけるプラットフォーム戦略に関する研究

抄録

Recently Japanese government plans to introduce new schemes of PDS (Personal Data Store),data bank and data trading market to accelerate secure and smooth data circulation. While it becomes afocus of attentions as one of emerging market, there are some consumers who are not proactive to utilizetheir own personal data through PDS and data bank. As a result, it has not been clear how data tradingmarket grows yet. In this research, authors create an agent-based model (ABM) which simulates thebehaviors of consumers (data generators), company (servicers), platformers (existing online platformersand emerging data brokers) in data trading market and evaluate the impact of several measures toaccelerate secure and smooth data circulation on data trading market.