This study examines whether visual variation can be used to estimate the effectiveness of video advertising in a wide range of genres. Visual variation is an index that captures dynamic changes in video (Li et al.,2019). If there is a rapid change in the image, visual variation is high. Visual variation is low when the change in the video is gradual. Visual variation and the effect of video advertisements moved similarly to the wundt curve. However, the results of ANOVA did not show significant differences. There is a need to investigate the relationship between visual variation and the effect of video advertisements by comparing multiple conditions such as the genre of advertisements.

In this paper, we analyze regional characteristics based on the standard grid square using probe-car data in Tokyo. In our analysis, we create regional clusters on specific events such as train accident the Economic Census for Business Frame and investigate statistics. Additionally, we create clusters based on taxi movements between the standard grid squares. Then, focused on specific events such as train accident, we analyze the change of the clusters. Finally, we consider a few characteristic local regions.

In recent years, there has been various pricing (for example, subscription prices) . In particular, it is remarkable in cloud businesses such as “Software as a Service" (SaaS) and services that provide digital contents. One of the reasons is the flexibility of pricing in e-business. This is why, research on pricing has been advanced from various aspects.

In this article, we review the studies that deal with pricing. We consider the impact of subscription prices on consumer behavior.

Conventionally, we need to have an additional investigation to measure customer loyalty. The purpose of this study is to develop indices to evaluate customer loyalty using only the purchase history related to services. These indices quantitatively evaluate the intensity of loyalty and the signal of change by using the data of customer visit and staff nomination. We analyzed customer loyalty of a hair salon chain by using these indices, and evaluated the tendencies of customer loyalty within customers, staffs, and salons.