The proposal and validity of the Customer Science Dual System--The key to corporate management innovation

A future successful global marketer must develop an excellent quality marketing system that impresses users and continuously provides excellent, quality products in a timely manner through corporate management. In this study, the authors proposed the Customer Science Dual System, CS-TMNS ＆ CS-SDSM. For the purpose of innovating strategic product development systems so called Customer Value Creative System, the Total Marketing Network System, CS-TMNS is established. In addition, for intelligent utilization of the established CS-TMNS, statistical science is incorporated so as to create the Strategic Designing Support Methods, CS-SDSM, as a new approach to the creation of wants that are vital to product planning and designing. Concretely, the author will also introduce the effectiveness of this system that reflects latent customer needs through scientific marketing application examples via Automobile Design Profile for the Younger Generation.     

Dual Technology Management Model of design and production utilizing CAE ＆ experiment

At present, one of the specific measures taken is an urgent improvement of intelligent productivity for the purpose of offering highly reliable products to create customer value in a short period of time. Against this background, the author focuses on the New Japan Production Model for establishing a development designing and production engineering system in the automotive industry. This paper presents the Dual Technology Management Model of design and production for establishing a development designing and production quality assurance system that is indispensable for CAE （Computer-Aided Engineering） and experiment in the automotive industry and its effectiveness is verified.     

Designing Vehicle Form Based on Subjective Customer Impressions

Automotive body styling is determined by two key design elements： profile and form. In recent years, the authors have been able to quantify profile designs that embody consumer preferences and verify the effectiveness of these efforts. This study focuses on form, quantifying parameters like roundness and angularity in order to identify the relationship of these qualities to customer preferences. In order to fully understand the relationship between form as a whole （which consists of front, side, and rear elements） and consumer preference, 3D-CAD software and statistics are used to quantify form. An eye-tracking camera is then used to analyze line of sight and establish a cause-and-effect relationship between form and where customers focus their attention, and the desired insights are obtained. Keywords： automotive, designing vehicle form, 3D-CAD     

Customer behavior analysis using motion pictures： Research on attractive flier design method

In this report, the authors would like to propose CMP-FDM （Customer Motion Pictures-Flier Design Method） to increase the willingness of consumers to visit the automobile dealership. CMP-FDM is a method of creating attractive fliers while using customer behavior analysis with videos. According to the analysis of how customers see fliers, the authors classify their behavior into three types and create attractive designs so that each guarantees each customer＇s satisfaction. Finally, the authors integrate the three types of fliers into one attractive to all customers by organizing the design features （design elements）, and then validate the method.     

Impact of immigration on the Japanese economy: A multi-country simulation model

To quantify the impacts of immigration and fiscal reconstruction on the Japanese economy, we present a dynamic computable general equilibrium OLG model with an overlapping generations structure. We use a total of 16 countries and regions, both including those that are industrialized, such as Japan, the US, and the EU, and developing countries, such as China, Brazil, the Philippines, and Peru.Our simulation results show that a permanent immigration flows of 150,000 will improve the Japanese economy and the welfare of current and future generations. On the other hand, a standalone increase in the consumption tax will not improve long-run welfare. The results indicate that substantially increased inflows of working-age immigrants would alleviate the need for future fiscal reform and also help to dramatically reduce the public pension burden on the working generations.     

Autoregressive stochastic volatility models with heavy-tailed distributions: A comparison with multifactor volatility models

This paper examines two asymmetric stochastic volatility models used to describe the heavy tails and volatility dependencies found in most financial returns. The first is the autoregressive stochastic volatility model with Student's t-distribution (ARSV-t), and the second is the multifactor stochastic volatility (MFSV) model. In order to estimate these models, the analysis employs the Monte Carlo likelihood (MCL) method proposed by Sandmann and Koopman [Sandmann, G., Koopman, S.J., 1998. Estimation of stochastic volatility models via Monte Carlo maximum likelihood. Journal of Econometrics 87, 271–301.]. To guarantee the positive definiteness of the sampling distribution of the MCL, the nearest covariance matrix in the Frobenius norm is used. The empirical results using returns on the S&P 500 Composite and Tokyo stock price indexes and the Japan–US exchange rate indicate that the ARSV-t model provides a better fit than the MFSV model on the basis of Akaike information criterion (AIC) and the Bayes information criterion (BIC).