Abstracts of Annual Conference of Japan Society for Management Information
Annual Conference of Japan Society for Management Information 2016 Autumn
Session ID : H1-7
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Abstract
The Prediction and Evaluation of the Changes in Consumer Behavior Caused by Business Process Improvement
*Xue LiuYoshiyuki Shinkawa
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Abstract

In many cases, business process and consumer behavior have hitherto been modeled, analyzed, and evaluated independently, however they are tightly interrelated, especially in B2C business. Therefore it seems inadequate to deal with them separately. This paper proposes a method to integrate the models for BP and consumer behavior expressed in the form of Colored Petri Nets (CPN), using the events interfacing these two different activities, in order to make it possible to simulate the original two models including their interactions. By this method, we can predict the effect of business process improvement and innovation on the consumer behavior. In addition, the paper examines how the effect affects the data in the databases and web, and then refers to the evaluation of the effect through data analysis.

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© 2016 by Japan Society for Management Information
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