大竹 恒平

The COVID-19 epidemic has drastically changed our way of life. Especially in Japan, the lodging industry was hit hard by the trend toward self-restraint in travel. The situation is now returning to what it was before the epidemic, and businesses need to review their future facility operations. The purpose of this study is to typify and understand the characteristics of lodging facilities by focusing on their revenue management methods. Specifically, we use a questionnaire of employees involved in decision-making regarding the facility. First, we performed principal component analysis on 13 question items related to current profit management among all questionnaire items. We summarized the questionnaire items into 6 principal components by this analysis. For each principal component, we interpreted the first principal component as focusing on constancy, the second principal component as focusing on demand forecasting, the third principal component as focusing on room occupancy, the fourth principal component as focusing on customer demand, the fifth principal component as focusing on competitors, and the sixth principal component as focusing on company policy.Subsequently, we performed cluster analysis using the principal component scores obtained by principal component analysis. We calculated the average principal component score for each cluster, and named and discussed each cluster with reference to the calculated value.This study allowed us to develop a classification of facilities based on their revenue management methods.

In recent years, with the spread of COVID-19 infection, the consumer market in real places such as department stores and shopping centers was hit hard. The latest consumer trend surveys indicate that what consumers are looking for in physical shops after the coronavirus has been contained is 'confidence' and 'surprise' through the experience of touching actual products. From this, it can be inferred that the insight of consumers in actual shops lies in the process leading up to the purchase, i.e. the experience value, such as how they use the shop and search for products.In this study, we conducted an experiment on consumer behavior in a department store, and proposed marketing measures unique to a real shop in accordance with consumer behavior, using data on the flow line of shop movement and questionnaire data before and after the experiment. Specifically, a series of data on the consumer's flow line from entering to leaving the shop is collected using an eye-tracking device. From the collected traffic line data, we attempt to evaluate consumer behavior from the viewpoint of purchase purpose and loyalty by using Social Network Analysis(SNA) methods.