A Conjoint Analysis of Demand for the Japanese Mobile Phone Market

The Japanese mobile phone market is 55.8% of the total market in the telecommunications industry. This paper is a conjoint analysis on Japanese consumer preferences for Japanese mobile phones. The analysis in this paper is presented after a questionnaire survey was given to 3,412 Japanese mobile phone users over 15 years old. The results of this analysis show that a decline in the price of mobile phone sets, an increase in transmission speed, the application of family discounts, and the continuation of contracts with the same telecommunication companies, all raise demand for mobile networks. In addition, the author found that user groups of NTT DOCOMO, au (KDDI), Softbank, and MVNO have different utility functions. According to the estimation of Mean Willingness to Pay (MWTP) in this paper, suppliers of mobile phone networks may be able to optimize and maximize demand by adjusting attributions and their levels.     

The Substitution Effect of Mobile Games on Console Games: An Empirical Analysis of the Japanese Video Game Industry

In this paper, we discuss the substitution effects between mobile games and console games. We estimate such effects by a fixed-effect regression with instrumental variables using panel data of about 100,000 observations. The results showed that the substitution effects of playing smart devices on 3DS, Wii, and PSP were recognizable, but did not have significant effects on PS3, and the substitution effects on PSP were very small. Therefore, mobile games had a substitution effect on casual console games, or on console games in which the play situation resembled mobile games. In addition, the substitution effects were at most about 0.1. The substitution effects were small. Our results indicate that mobile games represent the pioneers in the new market of gaming at least during our observation period. But new games and traditional games will coexist for a while.     

A Statistical Analysis Between Consumer Behavior and a Social Network Service: A Case Study of Used-Car Demand Following the Great East Japan Earthquake and Tsunami of 2011

When a large-scale disaster hits a community, especially a water-related disaster, there is a scarcity of automobiles and a sudden increase in the demand for used cars in the damaged areas. This paper conducts a case study of a recent massive natural disaster, the Great East Japan Earthquake and Tsunami of 2011 to understand those car scarcities and demand in the aftermath of the catastrophe. We analyze the reasons for the increase in demand for used cars and how social media can predict people’s demand for used automobiles. In other words, this paper explores whether social media data can be used as a sensor of socio-economic recovery status in damaged areas during large-scale water-related disaster-recovery phases. For this purpose, we use social media communication as a proxy for estimating indicators of people’s activities in the real world. This study conducts both qualitative analysis and quantitative analysis. For the qualitative research, we carry out semi-structured interviews with used-car dealers in the tsunami-stricken area and unveil why people in the area demanded used cars. For the quantitative analysis, we collected Facebook page communication data and used-car market data before and after the Great East Japan Earthquake and Tsunami of 2011. By combining and analyzing these two types of data, we find that social media communication correlates with people’s activities in the real world. Furthermore, this study suggests that different types of communication on social media have different types of correlations with people’s activities. More precisely, we find that social media communication related to people’s activities for rebuilding and for emotional support is positively correlated with the demand for used cars after the Great East Japan Earthquake and Tsunami. On the other hand, communication about anxiety and information seeking correlates negatively with the demand for used cars.     

北京市软件和信息服务业创新转型路径图

在“十二五”期间,北京市将着力建成智能手机、网络社交、平板电脑、网络电视、电子书、企业应用、位置服务、视频聚合、个人应用软件、电子商务等十大国际上最为前沿的新兴产业链平台。     

Agent-based simulation approach for disaster rescue using active RFID

After the 2004 earthquake in Japan’sNiigata Prefecture, there were many difficulties finding the victims. The earthquake caused a wired network disconnection. In addition, fixed-phone and cell-phone service systems crashed due to the rapid increase in the volume of communications. The systems’ collapse was due to the large number of users who were worried about the safety of their relatives. The same situation happened during Hurricane Katrina in the USA. Reflecting on these situations, the Japanese Ministry of Internal Affairs and Communications is trying to adopt several methods to correct these communications problems. Although these methods have not been disclosed precisely yet, we think that a predominant goal of one of the methods is most likely to find victims using RFIDs (Radio Frequency Identification) with computer sensors. To do this, the RFID method would have to be incorporated in the following ways: 1) by scattering sensor devices from helicopters when a large-scale disaster such as an earthquake occurs, 2) by making RFIDs self-organized into a network, and 3) by making the self-organized network pinpoint the position of victims. A certain amount of field-testing may be necessary to confirm the effects of this plan. However, such testing requires a great amount of time and high costs. Therefore, we adopt an agent-based simulation for such a test. In this paper, we pay specific attention to a simple and assured algorithm for discovering victims using RFIDs. First, we explain our method to confirm the location of victims. Second, we explain our method for pinpointing the position of victims using trilateration. Finally, we present our simulation results.     

Resolving service quality uncertainty through word-of-mouth communication

People use various information sources to resolve service quality uncertainty. This paper focuses on word-of-mouth communication among mothers. We conduct a survey of mothers with children in kindergarten to determine whether they use information from their friends on the choice of kindergartens and children’s clinics. We identify the factors that influence mothers’ word-of-mouth communication. We find that younger and wealthier mothers use information from friends more frequently for the choice of children’s clinics. We also examine whether the behavior of mothers is influenced by the communication skills of other mothers in the classroom. We do not find network externalities in mothers’ word-of-mouth communication.     

大唐电信：赢在平台

在金融与安全产业、移动互联网产业方面,大唐电信将在现有基础上,取得行业领先地位,并在细分领域成为主流供应商;在物联网和三网融合产业方面,大唐电信的业务将遍地开花,用＂大终端＋大服务＂的整体解决方案全面迎接智慧城市、智能商业中心等各种大规模行业应用时代的到来。     

Who Works at the Interface in Knowledge Spillover Across Organizational Boundaries?

To investigate the characteristics of engineers who act as an interface in transferring knowledge across national boundaries, I conducted an empirical analysis regarding the mobility of engineers in electrical manufacturing firms from Japan to South Korea. Statistical findings from negative binomial regressions show that the experience of working with foreign engineers facilitates knowledge spillover. In addition, the results show that interfirm knowledge transfer is more likely to occur when the engineers of the hiring firm work together with mobile engineers who (1) were focal members at their previous firm, (2) had a good connection with focal members, and (3) are young. This study suggests that engineers from external organizations are effective in knowledge transfer, especially if they are young, mobile engineers who were focal members at their previous firm and had a good connection with a focal member—and can act as an interface in transferring tacit knowledge.     

Simulation Analysis of a Dynamic Reallocation-based Routing Functionality for SAGE Application

A large amount of scientific data is generated through computation and analysis. Also, today’s scientific research necessitates an aggregation of diverse expertise from experts with different backgrounds. Therefore, visualizing and sharing these data among scientists in an intuitive and easy manner is of more importance in scientific collaborative research than ever. We have focused on SAGE, a middleware that realizes a large-scale remote visualization leveraging network streaming technique as a promising building block technology. However, no advanced network control function for efficient use of the network is equipped with SAGE although SAGE relies on a network streaming techniques. Our previous research integrated a functionality that detected network failures avoided such failure by rerouting network flows of SAGE into the functionality. Nonetheless, a network congestion avoidance functionality to adapt a collection of network flows generated by SAGE to the underlying network has not been developed yet. In this paper we explore the feasibility of a reallocation-based dynamic routing functionality for SAGE, with which all network flows on the network are rearranged. For feasibility research, we perform simulation experiments to observe the behavior of the functionality. The evaluation confirms that our proposed functionality works correctly and brings better throughput for each flow.     

Designing an Interactive Visualization to Explore Eye-movement Data

For many user applications large data sets may be collected passively and unobtrusively in the flow of their activity, and on scales ranging from the individual to increasingly larger communities. Large data sets, however, bring a concomitant need for tools to help understand what the data indicates. With the emergence of smart eyewear and the availability of sophisticated but affordable eye-tracking devices, eye movement data becomes a source of detailed information about a user’s focus and indirectly about their cognition and attention. Visualizing this usefully in terms meaningful for diagnosis however, remains a challenge. In this paper we report a new data representation from significant data sets generated by a gaze-controlled digital reading application for second language speakers. Current tools provide data sets aimed primarily towards statistical analysis of patterns: our focus is on end-user exploration of data sets in domain terms, so that practical implications can be readily identified. The visualization of horizontal eye movement data allows rapid diagnosis of problem areas in texts, informing educators immediately of individual or wider issues. The general applicability of this visualization to other applications is discussed.     

Personal Identification Through Pedestrians’ Behavior

This article focuses on a new approach for personal identification by exploring the features of pedestrian behavior. The recent progress of a motion capture sensor system enables personal identification using human behavioral data observed from the sensor. Kinect is a motion sensing input device developed by Microsoft for Xbox 360 and Xbox One. Personal identification using the Microsoft Kinect sensor (hereafter referred to as Kinect) is presented in this study. Kinect is used to estimate body sizes and the walking behaviors of pedestrians. Body sizes such as height and width, and walking behavior such as joint angles and stride lengths, for example, are used as explanatory variables for personal identification. An algorithm for the personal identification of pedestrians is defined by a traditional neural network and by a support vector machine. In the numerical experiments, pictures of body sizes and the walking behaviors are captured from fifteen examinees through Kinect. The walking direction of pedestrians was specified as 0°, 90°, 180°, and 225°, and then the accuracies were compared. The results indicate that identification accuracy was best when the walking direction was 180°. In addition, the accuracy of the vector machine was better than that of the neural network.     

“时间银行”担不起养老服务的重任

养老服务体系应该是多元的,时间银行这样的邻里互助养老模式当然可以搞,但是充其量只可作为一个次要补充．更重要的还应该是政府部门在公共养老服务上更多未雨绸缪。     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.     

Investment Literacy and Individual Investor Biases: Survey Evidence in the Japanese Stock Market

In this paper, we analyzed the results of our survey on Japanese stock investor’s asset risk management and empirically examined the effect of their investment literacy on their decision-making biases. This paper revealed that the higher the investors’ investment literacy, the lower their overconfidence bias. This suggests that high investment literacy can prevent investors from being influenced by an overconfidence bias and consequently making biased decisions in investment. Therefore, efforts to improve investors’ investment literacy by enhancing social systems such as investment education could be beneficial in guiding investors to make unbiased investment decisions.     

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.     

The Role of Cross-Border Networks of Skilled Labor in Offshore Outsourcing: Empirical Evidence Based on the Network Theory

This study investigates the determinant role of the cross-border movement of skilled labor in the expansion of service trade between the US, and both developed and developing countries. For this purpose, we employ the key concepts of network theory as an analytical framework and conduct panel data analysis and graphical modeling analysis for 31 countries from 1999 to 2008. In this decade, offshore outsourcing in the service trade took off worldwide. We use data for each country’s service exports to the US, number of H-1B visas issued, GNI per-capita, network readiness index, and an English dummy for the official language. We illustrate the trajectory and interactions between these factors. These analyses yield three observations. First, service trade with the US is more intensive among higher income countries. Second, the number of H-1B visas issued has a positive effect on service exports to the US. Third, individuals in lower income countries tend to desire H-1B visas and create intensive skilled labor networks with the US, the path through which developing countries such as India expanded their service exports to the US.     

芯片企业：寻找下一波创新浪潮

从通讯到电子产品,再到绿色照明、移动装置、汽车或物联网等更智能的消费方式,芯片产业仍然有旺盛的创新需求。它们可以应用于产品和设备端,为消费者提供全新的能源解决方案。     

The Effectiveness of Social Media for Business Activities in Japanese Firms

A large number of firms use social media for various business activities. This paper clarifies how social media has become effective to sales in Japanese firms. To this purpose, the following are addressed: (i) whether social media is useful for company activities, (ii) what kinds of business activities are affected using social media, and (iii) how social media improves the final outcomes of sales for firms. This study uses data of business activities and social media conducted in 2014. Probit analysis and structural equation modeling (SEM) are employed. Probit analysis clarifies the relationships between the effects of social media and its use in sales. The SEM model clarifies the relationships among the effects of social media use in business. In the SEM, a model is examined by taking sales caused by use of social media as an explained variable, while the explanatory variables are the first and intermediate effects of social media. The results indicate that social media is effective for business activities such as promoting sales. This study may help to promote social media in Japanese firms.     

Facebook Content Strategies and Citizens’ Online Engagement: The Case of Greek Local Governments

This paper analyzes the communication strategies used by Greek local governments through the utilization of Web 2.0 technologies, specifically Facebook, and the effectiveness of these strategies in relation to citizens’ online engagement. More specifically, it examines Facebook communication strategies and levels of citizens’ engagement. For this purpose, we conducted a content analysis on the active and official Facebook pages of local municipalities in Greece from January 2017 until the end of September 2017. Our results suggest a rise in the percentage of active Facebook pages maintained by local governments in comparison to our 2014 study. Our results also show that local governments in Greece are using Facebook in a predominantly top-down manner to promote events organized by the municipality and to push one-way information to citizens about their services and actions. Local authorities have, however, made significant progress in relation to posts that support transparency and accountability and that enhance or mobilize citizens’ participation. Our evaluation of local government Facebook strategies indicates that marketing the municipality to external public, such as tourists, and providing information about services are effective strategies that drive citizens’ online attitude expression (liking), engagement (commenting), and advocacy behavior (sharing). According to our analysis, local governments in Greece prefer the strategies that we found to be the least engaging. In addition, our study provides interesting details of how specific characteristics and modes of Facebook messages (photos, videos, URLs, hashtags, and mentions) impact on citizens’ engagement. Finally, our results provide valuable insights for social media managers in local government who aim to increase the impact of their municipal Facebook pages.     

小米科技：发烧友的力量

小米科技的创新之处在于,开创了在互联网上打造手机品牌的先河,并且用做互联网公司的思路做手机,充分调动了网络发烧友的力量,做到每周升级一次系统。