Leading with metaphoric intelligence

This paper argues that metaphoric intelligence plays a major role in successful leadership. We are embarking on the understanding of metaphoric intelligence by reporting partial research surrounding successful metaphors that can potentially account for metaphoric intelligence. We analyzed recent ideas on the effective use of metaphors by leaders of countries, providing the reader with a useful, convenient base for investigation on the general role of metaphor in leadership, and the role of metaphoric intelligence as manifested in speeches for special purposes in particular. Only the first step in the direction of providing a comprehension of metaphoric intelligence for leadership, this paper opens a number of interesting avenues of future research. In particular, this study calls for more empirical research, especially research focusing on how metaphoric intelligence foster leadership's role in organization.     

The Boosting Effect of E-WOM on Macro-level Consumption: A Cross-Industry Empirical Analysis in Japan

In this study, we carry out an empirical analysis on how electronic word-of-mouth (hereinafter “e-WOM”) marketing on e-WOM websites and electronic-commerce websites on the Internet boosts consumption on a macro-level. In our analysis, we conduct a model analysis of consumer behavior using data composed of more than 30,000 questionnaire surveys and quantitatively find the elasticity coefficient of the boost to consumption by performing a two-step GMM (generalized method of moments), which uses instrumental variables. The results of the analysis show e-WOM significantly increased expenditures in six fields: computers, electrical appliances, etc.; music; hobbies; clothing, accessories, etc.; beauty products, etc.; and goods for everyday life, etc. Furthermore, there was no field that had a significantly negative value. These results showed that, in the majority of the target fields, e-WOM had not only the effect of winning customers from the competition, but also the effect of boosting consumption on a macro-level. In addition, even from people’s subjective evaluations, there were many in all the generational groups who said that e-WOM boosted expenditures.     

Evaluation of a Multi-robot Cafe Based on Service Quality Dimensions

While AI applications are popular in many domains, they should work harmoniously with domain exerts and end users. Furthermore, to develop such harmonious AI applications, we need agile AI platforms for not only developers, but also domain experts. Currently, we have developed PRactical INTElligent aPplicationS (PRINTEPS), which is a user-centric platform to develop integrated intelligent applications. This paper reports on a multi-robot cafe as a practical application of PRINTEPS and evaluates its service quality at a university festival. It is not clear if robotic services are perceived as attractive and/or valuable, and how the concept of robotic services could lead to customer satisfaction. Therefore, the evaluation of the quality of such services is necessary to identify the key factors that could contribute to improving customer satisfaction. The purpose of this research is to identify key factors in improving customer satisfaction in robotic services by evaluating the service quality of the multi-robot cafe. We designed questionnaire items based on SERVQUAL which is one of the service quality evaluation measurement methods and conducted a questionnaire survey at a multi-robot cafe held at a university festival. From the collected data, we modeled and evaluated the relationship between service quality and customer satisfaction to identify key factors in robotic services using a Bayesian network. In addition, the experiment confirms the usefulness of PRINTEPS.     

Understanding leadership for cross‐cultural knowledge management

This article examines the role of leadership in cross‐cultural knowledge management (CCKM) because both knowledge management and cross‐cultural management are now regarded as popular topics in both academic and practical research in the age of globalization. We discuss the existing literature on the relationship between leadership and cross‐cultural management as well as the relationship between leadership and knowledge management to illustrate the importance of leadership in each field. The concept of cross‐cultural knowledge management—an ambiguous term—will be presented from Nguyen, Umemoto, and Medeni's (2007) work, establishing an expanded role of cross‐cultural management, which could be viewed as a subset of knowledge management. To emphasize the impact of leadership on CCKM, we discuss the influence of leadership on each factor in the theoretical model of CCKM. Our understanding of the role of leadership in CCKM suggests that international leaders should pay careful attention to managing fragmentation, integration, and differentiation when they want to create and manage the cross‐cultural knowledge of their employees.     

The effect of match quality and specific experience on career decisions and wage growth

This paper constructs and estimates a career decision model where individuals search for both careers and firms that are a good match for their idiosyncratic skills using the NLSY79. It departs from previous papers in that career mobility decisions and participation decisions are explicitly modeled. I find substantial returns to career-specific experience. However, college graduates' wage grows little through career-match upgrading, which results in a lower incidence of career changes than high school graduates. The finding suggests that college graduates learn about their suitable careers before they enter a labor market.     

Unifying Rule Induction and Rule Refinement—Towards Discovering Anomaly from Granville's Law in a Stock Market Technical Analysis

This paper discusses a framework for refining an initial object-level rule base with a rule induction to learn meta-level rules which find a data set applicable to an object-level rule. A rule induction process such as ID3 tries to learn meta-level rules and classifies given training data sets into positive data sets and negative ones. The rule refinement process tries to refine an initial object-level rule base on classified data sets by using four refinement strategies. Unifying these two processes, one can obtain a refined object-level rule base with high performance where a meta-level rule selects a data set applicable to it. In order to evaluate the framework, an experiment on real Japanese stock price data shows that a refined object-level rule base, which comes from the initial object-level rule base for representing Granville's Law, has a performance beyond that of the average stock price. The performance is difficult for human technical analysts in a stock market to achieve. The result implies that the framework could create an anomaly from Granville's Law in a stock market technical analysis.     

Intangible Asset Valuation Model Using Panel Data

In this paper, we design a valuation model for intangible assets using panel data, and empirically investigate the model validity. The approach using panel data is an evaluation method that uses unobserved firm-specific effects based on panel analysis. Our model first estimates production function using panel analysis, and then develops cost function using a duality approach. Next, we discount added value and costs resulting from intangible assets using fixed effects. Empirical analysis using the model compares the estimated parameter values in the nonlinear profit function consisting of production function and cost function with those in the production function alone, which becomes linear after logarithmic conversion, and finds that the two are generally similar. Additionally, the market value of equity is more closely associated with both the book value of equity and the value of intangible assets than with the book value of equity alone. These results support the validity of the model for evaluating intangible assets. This model is easy to apply in practice and is based on a simple idea. Further discussion of this model is warranted given the increasing importance attached to the value of intangible assets.     

Implementing partial tax harmonization in an asymmetric tax competition game with repeated interaction

This paper investigates the conditions under which partial harmonization for capital taxation is sustained in a repeated interactions model of tax competition when there are three countries with heterogenous capital endowments. We show that regardless of the structure of the coalition (i.e., full or partial tax coordination), whether partial tax harmonization is sustainable or not crucially depends on the extent to which the capital endowment of the medium‐sized country is similar to that of the large or small country. The most noteworthy finding is that the closer the capital endowment of the median country is to the average one, the less likely the tax harmonization including the median country is to prevail and the more likely the partial tax harmonization excluding the median country is to prevail. We also show that partial tax harmonization makes the member countries of the tax union better off and non‐member countries worse off, which stands in sharpe contrast with previous studies, such as Konrad and Schjelderup (1999) and Bucovetsky (2009).     

A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS

To support elementary school teachers in teaching by encouraging active learning while maintaining the interest of pupils, this study focuses on supporting teaching, learning, and monitoring the progress of students through a Teacher–Robot collaboration lesson application using not only laptops and tablets, but also robots and sensors. Since developing a lesson application is time consuming for teachers, we have developed an integrated intelligent application development platform named PRactical INTElligent aPplicationS (PRINTEPS) to aid Teacher–Robot collaboration. However, several functions and interfaces for education are missing. Therefore, in this study, we extend several functions for education to PRINTEPS. In addition, since it is necessary in learning and monitoring the progress of students to present learning content suitable to each pupil’s level of understanding, we also have provided support through the use of a tablet quiz system based on ontologies and rule bases. In the case study, we developed a Teacher–Robot collaboration lesson application and conducted lessons for sixth-grade pupils at an elementary school. From the case study, we have confirmed the effectiveness of our platform and the application.