The purpose of this study is to explore whether it is possible to construct an economic model from the viewpoint of Theory of measurement, which is a constitutive principle of quantum information theory, the fundamental theory of quantum computers. I proposed a model for quantifying customer satisfaction with intangible goods, where the issue is uncertainty due to the subjectivity of customer evaluations. From the entropy obtained from this economic model, a nonlinear asymmetric value function was derived. The value function of subjective well-being, which is a general value function encompassing the nonlinear asymmetric value function, can be explained by treating the customer’s experience of intangible goods as a rotation in Hilbert space, which leads to a violation of the independence axiom that cannot be described by classical probability theory due to phase interference, and applying the results to behavioral economics. The results are explained by applying them to behavioral economics results. This has provided new insights into the structure of subjective evaluation of the experience of intangible goods, and has increased the feasibility of constructing an economic model based on quantum information theory and the feasibility of mathematical design of customer experience.

This study focuses on the realities of annual paid vacation during the COVID-19 pandemic. The study uses quantitative text analysis to examine the results of a questionnaire survey conducted through a research company commissioned by the author. The analysis results suggest that with the spread of the COVID-19 pandemic, people’s lifestyles changed significantly, and annual leave-taking behaviors also changed. However, the spread of COVID-19 did not fundamentally change behaviors relating to annual paid vacations. The impact of previous studies and the subsequent measures to promote the use of annual paid vacation still remained among workers who saw an increase in the number of annual paid vacation days used compared to before the COVID-19 pandemic. While many lose sight of the purpose of annual paid vacation due to the COVID-19 pandemic, this finding’s significance may be that it shows many previous studies on annual paid vacation have led to policy proposals with subsequent results that have been passed on to society.

This study replicates the main result (s) of a previous study and analyzes heterogeneity by using the results of a randomized controlled trial conducted in Hiroshima Prefecture to validate nudges in order to promote early evacuation in the event of a heavy rain disaster. The main findings of the experiment are as follows: 1) previous studies underestimated the effect of the messages by 2 to 4 percentage points, but the conclusion remains the same that messages conveying information about the externality of evacuation behavior and appealing to altruism using loss expressions were the most effective. 2) Machine learning analysis shows no heterogeneous effects of nudges. 3) Messages conveying the benefits of an evacuation to a shelter in terms of gains were more effective for those with a negative impression of the shelter, while messages conveying the same information in terms of losses showed no heterogeneity. 4) Heterogeneity existed depending on how participants interacted with the local community. This was not seen, however, in the workplace.