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This chapter estimates the average wage and land price for each area through regression analyses to control for heterogeneity of workers and land across areas. Based on these quality-adjusted averages of wage and land price, we calculate each area’s business (Q _B) and residential environment index (Q _H) following Gabriel and Rosenthal (2004) and list the top 20 and bottom 20 locations in terms of Q _B and Q _H values, respectively. The findings of this chapter can be summarized as follows. First, metropolitan areas are perceived overall as relatively better locations both for firms and for workers. However, the quality of business environment and the quality of life do not necessarily match across locations. Second, while the college-educated and the young are more likely to live in the locations with better quality of business and residential environment, the old tend to live disproportionately in the locations with inferior local amenities possibly due to financial constraints. Firms newly established, belonging to headquarters, or in business service industries locate more heavily in the locations with better quality of business environment, but not necessarily in the locations with greater quality of life. However, manufacturers seem to locate their plants more in the places with lower quality of business environment. Consequently, the degree to which local amenities vary across areas seems to be remarkable in Korea. Since compensating differentials are prone to be self-reinforcing, the policy efforts by the local or central government are important for future balanced growth.

This study aims to understand why consumers continue to visit physical stores despite the rise in mobile shopping and online channels. Mobile shopping has changed how consumers shop, allowing them to easily switch between channels. However, physical stores continue to remain significant because some consumers still prefer them, challenging the belief that online markets always surpass offline markets. To serve their needs effectively, retailers must understand the motivations and behaviors of shoppers in both channels. Therefore, this study aims to explore why people cross the online channel to offline by examining their dissatisfaction with online shopping, using E-SERVQUAL variables.

This study uses a two-method approach that involves in-depth interviews to develop questions related to E-SERVQUAL variables and a survey to assess respondents’ likelihood of switching from online to offline. Data was collected from 203 participants.

The results indicate that dissatisfaction with the timeliness and condition of online shopping services is a significant factor driving consumers to switch to physical stores. This challenges the notion that online markets always surpass offline markets, emphasizing the continued significance of physical stores in the retail landscape.

This study recognizes the importance and relevance of physical stores in the retail environment while challenging the assumption that online markets always outperform brick-and-mortar markets. In terms of dissatisfaction and satisfaction, it is possible to identify under what circumstances dissatisfied consumers go from online to offline by considering the distribution channel migration phenomenon.

This paper examines the influence Japan’s participation in the TPP negotiations will have on the course of subsequent East Asian economic integration, and mainly from the perspective of the three Northeast Asian countries of Japan, China and the ROK. In the first half, as a premise thereto, we first bring together the development of the FTA policies of China, the ROK and Japan, and then the connections with East Asian economic integration.

This study contributes to greater understanding of the senior market and the cultural differences regarding aging in Western and Asian cultures. The review of the literature highlights the cultural differences toward the concept of aging in Asian and Western countries and describes a useful age concept for investigating senior consumers, namely, that of subjective age. The purpose of this study is to investigate the influence of subjective age dimensions on seniors’ behavior and to assess the role of culture as a moderator of this influence.

Data were collected in France and Mainland China and consisted of answers to 300 questionnaires for the French seniors and 264 questionnaires for the Chinese seniors. Two dimensions of subjective age were measured: cognitive age and ideal age, along with travel motivations and travel perceived risk.

The study provides valuable information regarding the Western and Asian senior markets. Subjective age dimensions prove to be related with seniors’ behaviors (perceived travel risks). The present study also demonstrates that nationality has a moderating role on this relation. This theoretical contribution will have to be confirmed by other studies in Asian and Western countries; it opens the door to new research on Chinese/Asian seniors involving these age variables.

The study gives academics and managers insights on the influence of subjective age on seniors’ behaviors in European and Asian cultural contexts.

This paper aims to develop a robust person tracking method for human following robots. The tracking system adopts the multimodal fusion results of millimeter wave (MMW) radars and monocular cameras for perception. A prototype of human following robot is developed and evaluated by using the proposed tracking system.

Limited by angular resolution, point clouds from MMW radars are too sparse to form features for human detection. Monocular cameras can provide semantic information for objects in view, but cannot provide spatial locations. Considering the complementarity of the two sensors, a sensor fusion algorithm based on multimodal data combination is proposed to identify and localize the target person under challenging conditions. In addition, a closed-loop controller is designed for the robot to follow the target person with expected distance.

A series of experiments under different circumstances are carried out to validate the fusion-based tracking method. Experimental results show that the average tracking errors are around 0.1 m. It is also found that the robot can handle different situations and overcome short-term interference, continually track and follow the target person.

This paper proposed a robust tracking system with the fusion of MMW radars and cameras. Interference such as occlusion and overlapping are well handled with the help of the velocity information from the radars. Compared to other state-of-the-art plans, the sensor fusion method is cost-effective and requires no additional tags with people. Its stable performance shows good application prospects in human following robots.