페르몬 모형을 활용한 옴니채널 쇼핑몰의 미래 시장예측에 관한 연구 = A study on the market prediction of omni channel shopping mall using the pheromone model

다국어 초록 (Multilingual Abstract)

The development of social media has led to the generalization of online oral effect.
Therefore, shopping behavior that optimizes their choice based on the preference information of others is increasing. This study began with the idea that this shopping behavior is very similar to the pheromone model of the insect world. The current shopping mall shows it has been evolved from traditional shopping malls to shopping malls based on online recommendation and being evolved to O2O-based Omni Channel marketing again. This study analyzes and predicts this change of shopping malls evolved through an agent - based simulation model. First we found that, despite security threats, shopping malls that actively recommend using various online feedback information can increase market share. Second we found that shopping malls that made active recommendation based on Big Data in online shopping malls have greater competitiveness. Third, we knew that the market share of the O2O-based Omni-Channel shopping mall was significantly higher than the online recommendation shopping mall.

참고문헌 (Reference)

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