In this paper, we study the impact of blockchain technology on food traceability and consumer behavior based on the case of the implementing company. Blockchain technology has great potential for many applications, and is currently being tried in various industries. In the near future, it may make major changes in social infrastructure and systems. However, there are few examples of effective cases that are necessary for companies to introduce them from the perspective of economics and management. Therefore, in this paper, we focus on the traceability function of blockchain technology and examine the effects and influence of introducing it to a company from the viewpoints of producers and consumers.

In recent years, there has been various pricing (for example, subscription prices) . In particular, it is remarkable in cloud businesses such as “Software as a Service" (SaaS) and services that provide digital contents. One of the reasons is the flexibility of pricing in e-business. This is why, research on pricing has been advanced from various aspects.

In this article, we review the studies that deal with pricing. We consider the impact of subscription prices on consumer behavior.

In the home meal replacement industry, forecasting the number of customers is important. If it is possible to forecast the number of customers, it will be possible to reduce the loss of food waste. In this study, we attempted to estimate the number of customers from the date data such as the day of the week by using the T-method in quality engineering. We found a strong correlation between the actual and the estimated number of the customers, with a match rate of 82%. Moreover, the feature items of the date data effective for the number of customer estimation were revealed.

In our country farm decreasing is seen also in rice cultivation. In 2018 nation farms took 159 ten thousand hectares rice plant including green feed using, for staples 138 so to over 7 million ton rice grain produced piled on opening private stock 1.9 million ton. Rice grain is consumed rather inside farm districts while far cities one is supplied from a few areas in a few districts. I examine that case to discuss as for nation food sustainability.

One of the main benefits of the clusters are higher innovative performance. Recent research shows that companies do not benefit from the cluster equally, firms who are in the right networks which have useful knowledge flows are more innovative. This brings up the question of “which knowledge sources are more effective for innovation?" Literature suggest that while knowledge sharing within the cluster is crucial, too dense relations will cause lock-in and external sources are vital for innovation, and; the knowledge sources vary according to the knowledge base of the clusters. This study examines the types of knowledge sources and their relation to innovative performance with a regression model. The research was applied to two clusters in Turkey which have synthetic knowledge base.

There are various hurdles from R&D to sales in medical device development. The main hurdles in medical device development include relationship building with doctors, design and system development in consideration of regulations, assurance of safety and effectiveness, and after-sales safety measures. In particular, due to the regulation changes, it is difficult to develop without considering regulations. In addition, it is necessary to find out the needs from the medical field. Therefore, in this research, we investigate into the approach to overcome the hurdles of medical device development. In the presentation, we will give the presentation about the development of the methodology for the needs search from the medical field.

In recent years, we have seen the advent of platformers providing IoT services along with companies that create new customer value by focusing on informational management resources that make use of IoT.

This research focuses on the case of the IoT platformer from Japan, which has been developing the unique global business ecosystem, and considers the company's technological innovation and the formation process of the newly created IoT business ecosystem.

The aim is to obtain leads to new theoretical issues in the platform and business ecosystem areas in business administration through a unique case study of the company.

Schönberger and Ramge (2019), as "the reorganization of capitalism in the age of big data", suggest the advent of data capitalism and data-rich markets, where the driving factors of market behavior replace money with digital data. They pointed out the scale effects, the network effects and the data feedback effects as the three key effects acting in the data-rich market. However, their concern is the institutional design for market efficiency, and the mechanism of the above effects and the examination of the interaction are not enough. This study builds an integrated model of two-side market and data-rich market, and examines the mechanism and features of the interaction between cross-side network effects and data feedback effects.

DX is about to bring about change in many industries. This transformation is supported by the logic of the digital platform. However, digital platforms are decentralized, intertwined with institutions, markets, and technologies and are difficult research objects. Among them, there is a strong possibility that the current platform is discussed in a non-digital world based on the existing theory. The solution of this problem is urgent. However, digital platforms compete on various technology architectures, making appropriate units of analysis difficult. So I focus on in this article: what is the difference between digital platforms and platforms? , what new issues are occurring?

One of the sources of this risk money for innovation is the “public-private fund" which was established mainly by government funding. One of them, the Innovation Network Corporation of Japan, has invested in and integrated three liquid crystal businesses, and Japan Display Inc. (JDI) has been established. However, JDI was deadlocked, against the intent of preventing technology outflow, and will survive with the financial support of the Taiwan and China fund. In addition to JDI's case, the “public-private fund" has repeatedly failed in investing in Sharp, replacing the management team of Renesas, or breaking up the organization of the Innovation Network Corporation of Japan. From these cases, the merits and demerits of the "public-private fund" were analyzed.

“Ambidexterity" is a management concept that commonly referred to as a major concept when discussing innovation. If a company or organization aspire to survive and grow in the medium to long term, it is generally desirable to aim for the realization of ambidexterity. However, because of some confusion, such as the conceptual positioning of innovation and the relationship with the execution process, making it difficult to understand the correspondence with actual corporate activities. This paper proposes a view point for realizing ambidexterity by organizing the relationship between exploration and exploitation in time series.

The domestic crowdfunding (CF) market size in FY 2017 was ¥ 170.0 billion, up 127.5% over the previous year and the market is expected to expand further. Although the CF market is attracting attention as a new way to raise funds, not all projects have succeeded in raising funds. Therefore, this research examines the factors that lead to the success of financing using data of a major CF platform on the Internet. The research uses a Python program crawler to collect data, and conducts a statistical analysis over nearly 8000 collected data. By clarifying the success factors of the CF project, it is expected that the efficiency of project support in the CF market will be further enhanced.

The goal of this study is to clarify the effect of policies for promoting innovation at SMEs by local government Osaka city. For this purpose, this study takes as a case of the innovation promotion policy: “Osaka Top Runner Project".

Empirical research based on interviews and questionnaire surveys revealed the following point. The innovation promotion policy, Osaka Top Runner Project, indicated the effect of acquiring informational resources that complements the problem of "information asymmetry" in small and medium-sized enterprises.

By the revision of the Local Autonomy Law in 1969, local governments must formulate a municipal basic design, basic plan, and implementation plan (so-called "comprehensive plan") for approximately 10 years. However, with the revision of the Local Autonomy Law in 2011, the obligation to formulate the comprehensive plan was abolished.

The theme of research is how the comprehensive plan will change in the face of changes in the social environment such as the declining birthrate and aging of the population, globalization, and rapid economic activity.

In this report, I will investigate and report on how the period of a municipal basic design and basic plan, which were defined as " approximately 10 years " has changed in the cities across the country.

Open data efforts to provide data in a freely available form are spreading. Public administration is mainly assumed as an entity providing open data, and data provided there is referred to as open government data. Although the administrative organization is the main entity of open data provision here, there are several cases in Japanese local governments about the provision of open data related to the local assembly. In this research, we discuss the current status and issues of open data related to local assembly by examining the cases of open data efforts regarding local assembly.

In Japan, the declining birthrate and aging population and the problem of vacant houses are progressing. These problems are no exception in Hamamatsu, and it is necessary to take measures after predicting the population distribution. The introduction of micro-simulation is progressing in grasping these urban problems and examining policies, and because the area is the largest among the ordinance-designated cities, application of micro-simulation to Hamamatsu, which has urban problems in each region, has significance for problem solving. This study predicts the changes in household composition, and location selection. Specifically, a virtual individual database in Hamamatsu will be constructed, and a life event will be applied to each citizen, and a location selection model will be applied to households and businesses to estimate future population dynamics.

There are needs to shift skills to advanced IT personnel and to shift from a contract type to an application provision type business model that makes full use of advanced technology.

On the other hand, it is not enough to secure advanced IT human resources at regional small and medium-sized software companies like our company.

In addition, there is a lot of maintenance of existing systems, and in reality, it is impossible to convert to advanced systems dramatically.

With regard to our company's approach to the DX era, our company's "AI-based Fault diagnostics system for bearing" is introduced here as an example.

In this session, you will know the history of AI-OCR and possibility of advanced image recognition technology. AI inside develops and provides AI platform and enables our clients to incorporate AI into their daily workflow through deep learning technologies. Our AI-OCR "DX Suite" allows users to recognize handwritten Japanese characters, which are known to be one of the most difficult languages for OCR solutions to process. We will talk about utilization plan of AI platform as well as use cases of DX Suite.

Aiming to forecast elections with high accuracy and explainability, we devised an election forecasting framework using an AI technology "Wide Learning" developed by Fujitsu Laboratories. Conventional election forecasting methods strongly depend on the analyst's skill and information sources. On the other hand, our AI framework enables election forecasting to be universal due to the use of public information of candidate profiles and generally-used voting survey data as input data. Moreover, our AI technology can not only perform highly accurate forecasting but also discover important hypotheses about election results. We evaluate forecasting results about the Japanese House of Councillors election in 2019 by applying a model trained with data from that in 2016, and discuss the usefulness of the model.

Now, GAFA expand their platform business all over the world.

Then, a lot of Japanese companies use GAFA's platform for their business.

However, they might lose chances of using important data.

A local community platform "HamaZo" develop a sense search engine,

and start its service from 2019 fall.

It suggests positive Information about local contents against an accuracy of Google.

We'll explain a part of implementation of accounting system conducted in Japan about character recognition that introduced AI. We are focusing on Chinese characers mainly used in the accounting system. The purpose of the research is to have AI learn image recognition that introduced Open CV on balance sheets, and to automatically recognize five types of characters. When it can be realized, not only can it automatically convert many tables existing in the accounting system into spreadsheets, but it also reads data of important account items in the tables and enables AI to evaluate time-series changes, We think that it can be applied to value calculation.

The process of determining the UI to be improved for smartphone apps for university students using A/B tests was recorded. This study uses agile development and is characterized by a team composed of students.This study aim to help team development among students through them that records problems and countermeasures because they are systems different from companies. Since this A/B tests are mainly based on UI such as screen structure and page transition, it is difficult to judge overall better functions. In order to deal with the problem, the development was carried out while incorporating the opinions of students who were actually users of the application, and it was possible to get closer to a UI that meets the needs of many users.

University libraries are computerized. Many libraries provide not only e-journals and e-books, but also a learning environment using IT such as Learning Commons. Library digitization has many benefits, such as cost savings and space savings. An e- library can support students' voluntary learning such as PBL. However, to promote it, there may be some problems with the university library organization's IT capabilities. In this study, as a case study, we analyze IT capabilities of the library organization of Tokyo City University. IT-CMF has been proposed as a framework to analyze IT capabilities of an organization. A questionnaire survey is conducted to the university library based on IT-CMF. We identify the necessary IT capabilities as a university library.

In recent years, the electronic commerce market has steadily expanded. However, competition is intensifying. It is becoming increasingly difficult to capture customer share and increase profits. Reciprocal customer transfer has attracted attention as a method of acquiring new customer share. The purpose of this study is to activate reciprocal customer transfer between golf equipment EC site and golf course reservation site. For that purpose, we analyzed the relationship between golf courses and golf products using the transaction history of users using both services. We used time-series association rule analysis as an analysis method and extracted rules effective for sending customers. Based on the obtained rules, we analyzed the relationship between golf course characteristics and golf products.

In the early Meiji era in Japan, to import modern technologies, studies, and institutions, a large number of foreigners called “Oyatoi-gaikokujin" were hired not only in government offices but also in the private sector. This research focuses on the difference in the value of knowledge for each sector by using the financial data of “Oyatoi-gaikokujin" from 1874 to 1876 and multivariable analysis. The main results show that firms put high value on knowledge of the management, English studies, and commercial law. In the maritime shipping industry, steelmaking was most valuable. This study demonstrates that the source of knowledge of the development in Japan after the Meiji Restoration and people of those days had motivations to select and acquire knowledge.

According to the Ministry of Health, Labor and Welfare, the number of beauty salons has been increased and reached about 250,000 at the end of 2017. On the other hands, there are some management problems such as price reduction and customer decrease. In such situations, it is an important policy to promote items in addition to treatments. In this research, I analyzed the characteristics of customers who bought items for the purpose of considering to promote items. First, I performed cluster analysis to categorize shops. Second, logistic regression analysis about whether to buy items in each cluster is clarified characteristics of them. As a result, I discussed how to promote items effectively in each shop cluster.

Recently, QR payment services such as “PayPay" and “LINEPay" has come to draw a lot of attention. These QR payment services have merit of being able to introduce in stores with low cost. They, however, have to face with security task. In this report, we will test and compare these payment services in terms of number of members, number of stores that we can use services, the fee rates, way of paying, utilization way, user interface and so on. Furthermore, we will consider future trends with taking accounts of differences between QR payment services and traditional credit card, debit card and E-money.

As business innovation has been more essential for any companies, business CAD systems which support business model design are proposed. These mainly support to make consensus among the business design team members/stakeholders, however cannot address harmful side-effects that are not aware by design team members. We are expecting that it is able to implement a feature to make alert against harmful side-effects, by building-up a library of business context mechanisms and employed them. In this article, we propose a method as follows: (1) adding information of specific case mechanism when building-up a library; (2) using added information to build-in the specific case mechanism in order to alert the potential side-effects, when designing business model by using CAD system.

A performer who can entertain a lot of audience has not only physical ability but also confidence or abundant ability of expression.

When a dance group execute an audition chooses who stand on stage in the team, the candidate should think “I want to be a good performer who can entertain audience more than anyone." but not “I want to beat others."

In this report, we will analyze a process toward the audition making a good performer, for example relationship between practicing method or surroundings and development of ability of a performer.

A Commoditization of product market has intensified price competition of products. Thus, several companies are focusing on developing new products that capture the needs of consumers. However, the success rate of new products is not high. In particular, in order to make new products major success, it is necessary to go beyond the chasm created between early adopters and late adopters of new products. In this study, we assume that early adopters of new products are highly information sensitive consumers that have capabilities of high gathering and spreading information. We analyze the means by which highly information sensitive consumers recognize successful new products and have willingness to buy. This research can be useful for future marketing approaches to new products.

Japan's GDP is currently the third in the world. Meanwhile, GDP per capita is low compared to the other developed countries. There is a concern that Japan's economic strength is lessened due to a declining birthrate and a growing proportion of elderly people. Improving productivity is essential for sustainable development in Japan, and there is a discussion that an increase in minimum wage may contribute to productivity improvement of firms and industries. This is because higher minimum wage increases labor costs of firms, which provides corporate managers incentives for cost reduction. However, there is no clear conclusions from previous studies on this issue. This study applies stochastic frontier analysis to prefecture-level data and examines influence of minimum wage on productivity.

In recent years, "cashless payment" has become widespread in various countries. However, in Japan, the choice of cash is strong and spreads are much lower than the developed country spreads. The government announced that it would refund 5% of payments as the point of the consumption tax hike scheduled for October 2019, promoting the spread of cashless payments. On the other hand, distrust of security such as fraudulent use in PayPay and SevenPay is increasing, and fostering of appropriate consumer awareness is indispensable for the development of cashless payment in the future. In this research, we focus on the rapidly developing smartphone payment among many cashless payment methods and investigate the risk awareness for cashless payment of ICT students with knowledge of ICT.

As the population is aging rapidly in Japan, the demand of nursing care continues to grow. The problems in the elder-care workplaces are more complex than expected. Recently, technologies such as AI and robots have been rapidly developed. Integrating and utilizing technologies may solve the psychological and physical problems of caregivers and care recipients. In this research, we grasp the current trends of AI, robot and other related technologies. In addition, we clarify the flow of care by organizing the relationship between abnormal situations, demand of supports and related technologies. Furthermore, from the viewpoint of nursing care, we aim to find solution methods for the care problems by utilizing existing technologies or future technologies as well as the indication of the bottleneck.

This Paper introduced the study on the classification of customer's awareness toward Hairdressers, and the next visit prediction for each classified customer. In the hair salon industry, there is a strong over store and the low repeat rate is one of the reasons for customer withdrawal. There is utilizing direct mail and coupons to improve customer repeat rates. Direct mail provides information on coupons and a variety of services. However, it has not yet been possible to transmit the DM with the timing and content effective for the customer. So, the study classify the beauty awareness of the customers, predict the visit interval for each category. From here, we propose measures to increase repeat customers.

The BtoC-EC market size in Japan in 2018 has reached 18 trillion yen, and has been continuing to grow in recent years. Coupon distribution is one of acquiring and maintaining methods of customers in EC market. In this study, we analyzed the purchase behavior using ID-POS data of a golf EC site using cause and effect analysis. Especially, we focused on the behavior of the second purchase because when customer used a coupon in the second purchase, the life-time value of the customer seems to increase. From the result of analysis, we focused on consumer growth of the future, and discuss the utilization of coupon in the EC site.

Recently, in hair salon industry, it is important for the growth of a business to prevent customer leave. This study clarifies the cause of customer leave using ID-POS data of a hair salon chain store in Japan. First, we targeted customers who visit the hair salon more than four times in two years and classified stores based on the average visit interval in each store. Next, in each store cluster, we divided targeted customers into repeat and leave one based on the average of visit interval of customers and performed a discriminant analysis of them. Using the result of the partial regression coefficients' value of the discriminant model, we identified the factors of customer leave for each store cluster.

It have been attempted to mechanically extract the strategy-words/phrases which are valuable for analysis of enterprise management from IR documents published by the enterprise. In preceding studies, the method which could extract coined words or unique strategy-words/phrases by applying stratified N-Gram analysis with words frequency, Gram length, and inclusions of N+1 Gram words, has been proposed. However, the extracted results by the method might include some valueless words/phrases as strategy-words. In this study, we address that the considerations of the sentence structure as well as part-of-speeches is effective to improve accuracy, after analyzing the incorrectly extracted words/phrases. Furthermore, we propose a new method to extract strategy-phrases with higher accuracy by applying the result of dependency analysis.

Many people have become fully aware of the major risks hidden in the overly concentrated economy of the city centers. As a countermeasure, "Work at Home" and "Satellite Office" ideas have started to attract attention of many companies across Japan and they have started setting up satellite offices. Thus country side could provide as a befitting option for small scale IT companies looking for expansion. This research aims to serve as an important literature that provides awareness especially to Indian companies willing to set-up offices in Japan. The findings of this research study are supposed to help these companies in the decision making process and penetrating these new markets.

In recent years, in apparel industry, EC market is expanding, and it is needed marketing strategy considering the needs of customers. In this study, we aim to identify fashion brands related to customer growth (named “key brands") which promote brand transition using two years questionnaire data targeting about 30,000 monitors. Specifically, we used questions about consumption values and favorite fashion brands. We conducted the factor analysis using the question items to obtain factors of consumption values and segment monitors based on the factor analysis. Next, we aggregate question about favorite fashion brands and we reveal key brands at each age and cluster.

In Japan's manufacturing industry, where high-mix low-volume production is mainstream, accurate indirect cost allocation in cost accounting is a serious problem. As a costing method for allocating indirect costs more accurately than standard costing performed when creating a balance sheet, although activity-based costing has been proposed, it is spread due to the relationship of measurement costs etc. It has not been As the problem of measurement cost is solved by the spread of IoT today, a new costing method suitable for IoT era and a cost planning framework using it are required. So, in this research, we show how to generate a price shift from human work blur using simulation, and propose a new cost calculation method considered in the IoT era and verify its accuracy.

Recently, the shared use of mobile tools has been expanding, such as bicycles and cars being provided in areas designated for rental bicycles. However, concentrating on mobile tools at a node is a critical issue. To resolve this problem, we use a BCMP network to calculate the average standby number and average waiting time for the mobile tools at each node, and then select an optimal node from among the candidate nodes. User trends and demand for usage of mobile tools are fluctuating, and in many cases, patterns cannot be considered using only basic statistical information such as averaging assuming stationarity. We try to realistically simulate by categorizing people into family, couple, child and adult, and so on.

To increase business profits, Japanese companies have been investing in Vietnam. Unfortunately, the efficiency of these investments has been affected badly due to the differences in business environment between Japan and Vietnam. Hence, this research focused on figuring out critical success factors involved in JPS transference and suggesting some possible improvements. This study has been conducted as follows: 5 companies having subsidiaries in Vietnam were interviewed to form the hypothesis. A survey with 4 main factors including national culture, governance, Japanese representative's roles, and Vietnamese employee will be performed on Vietnamese manager class to test the formed hypothesis. Factor analysis, regression analysis and the analysis of variance on SPSS will be used to identify the factor affecting implement JPS in Vietnam subsidiaries.

In Japan, statistics are being released by both official agencies and private organizations. Although “Monthly Survey on Service Industry" is being released by the Ministry of Internal Affairs and Communications, official statistics on a predicted market size of the foodservice industry are not available. This study examines differences in methods for market size estimation including how to release the estimated and predicted market sizes across four countries. Moreover, we predict the market size of the foodservice industry using a seasonal autoregressive integrated moving average model and a deep learning model.

In a platform business such as flea market application service, the increase of the number of sellers (buyers) induces the increase of the number of buyers (sellers) because of the cross-side network effects. Therefore, there exist problems for a platform provider whether to give more benefit to seller or buyer and how to do. This subject has not yet been fully investigated, although some researchers studied a preferential treatment method related to pricing. This study attempts to investigate an effective preferential treatment method other than pricing by analyzing user review of flea market applications.

The research focuses on the autonomous equity network of a company's overseas locations. This study demonstrates that a headquarters' performance is impacted by the autonomy and cultural distance of the host country. The analysis utilizes Hofstede dimensions that indicate the cultural traits, headquarters' financial data, and the automobile-related industries' investment data of Japanese enterprise locations as of 2014. Multivariate analysis is performed after quantifying the autonomous indicator through analyzing the equity network. As a result, the analysis reveals that headquarters' performance is influenced by cultural distance indirectly through the autonomy of the overseas locations. It represents a theoretical contribution to the theory of multinational corporations by showing the values of autonomy quantified from the network analysis.

In recent years, online shopping and online supermarkets have been developed, but supermarkets and convenient stores are still means of shopping that many people use. Its frequent use, at day and night. It is the self-registration that has been noticed and introduced to the cancellation of the cash register congestion. And there are merits and demerits by customers, is there really an effect of clearing up the confusion? We will investigate where the new cash register form of the cell register is really effective in eliminating the congestion at the supermarket cash register.

Currently, in Japan, cashlessness is being promoted to improve settlement convenience. In addition, mobile payments are attracting attention as one of the payment media, and many companies have entered and competition is intensifying. Among them, PayPay which launched in 2018 is a relatively late-launched mobile payment application , even though it is currently gaining high penetration. Therefore, in this study, the success factors of PayPay dissemination are clarified from the viewpoint of the user expansion strategy, the member store expansion strategy, the business model, etc., and consider the dissemination strategy in the platform type business

This research demonstrates the effects of learner's homophily and diversity in groups on active speech in PBL (problem-based learning), which is one of the concepts in active learning. The date is questionnaires of the supply chain management game for business people. The multivariate analysis reveals that a higher homogeneity of the field in which the learner is interested and greater diversity of work experience, lead to an increase in the learner's active speech. The theoretical and practical implications of this study are in suggestions for team formation among businesspeople, for the promotion of active speech in learners based on organizational learning theory.

We'll propose a series of trading systems that use system trading in exchange trading as a trading method, and decide trading rules using AI. There are many constant algorithms used for trading. Complementary researchs have also been conducted to determine rules, such as introducing GA (genetic algorithm) to them. Especially in this research, we compare our trading system using by AI and evaluations that introduced GA and their simulations. The AI introduced in this study assumes deep learning, and the content of learning and its efficiency can introduce AI by explaining that the disadvantages of the system introduced GA can be complemented.

The aim of this study is to develop an educational program for students to learn supply chains. This study reports an effort aimed at providing different advantage from traditional lecture style. The effort is that students interview the company's supply chain activities, and then, prepare case study materials to learn SC management for students of the same generation. There are two expected effects. First of all, the students preparing materials can learn subjectively while talking to representitives at various supply chain sites; furthermore, by repeating questions and solutions through preparing the materials, they can acquire knowledge deeply. Secondly, we can provide students with easily accessible and attractive lectures with teaching materials made from the same level as them.