In recent years, value-in-use is focused as emerging competitive factor. Traditional manufacturing business model considers to produce products as value. Value-in-use considers to create value, for when customer use the products. Some differentiations of value-in-use increases opportunities of encounter with company and customer. Therefore, value-in-use is expected to develop customer loyalty. However, the researches of value-in-use are small in number, so far. And, the differentiations concept and method of value-in-use is not clearly defined. This research considers creating the differentiations of value-in-use. The concept types of value-in-use and the methods of differentiation of value-in-use are defined.

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Among "ecosystem" related topics in Japanese newspapers, we can find two different streams, business ecosystem and sustainable ecosystem. First, with regard to business ecosystem, IoT ecosystem, co-creation, and social innovation fascinate various industries. Second, with regard to sustainable ecosystem, people all over the world have been much aware of the importance of CO2 emission, Sustainable Development Goals (SDGs), Corporate Social Responsibility (CSR), and business ethics. This presentation sheds light on the relevance and irrelevance between the two ecosystems to each other.

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Although there exist some big-data that are collected at reasonable cost easily, many other data take much cost to collect them. One of the latter cases includes historical purchasing and questionnaire data with IDs, simultaneously. For such case, we can often use only historical purchasing data for other IDs, additionally, however such data do not include questionnaire data.
As for applying questionnaire data for other customers, transfer learning model can be a promising approach, and we propose a transfer learning model to estimate happiness for a practical fashion site data. From some computational experiments, we show practical results and discuss about them.

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To clarify consumer behavior in more detail, it is important to grasp customer interests in purchasing. To do so, it is useful to analyze both ID-POS data and the data of customer's moving log in store simultaneously, and it is needed that the log data is collected easily and precisely. In this paper, we propose an estimation method utilizing time series data of received signal strength indicator between BLE beacon and smart device. It can be thought that such the data is similar to the customer's moving log data. From our experiments, we collect several log data and estimate moving location from the data.

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Governments are promoting the use of open data, providing also tools and services. However, their presumed uses are mainly based on a single data set. Potentially most valuable uses of public data, however, consist of combining two or more data sets which are independently designed and collected. For this kind of use, there must be two prior conditions. First, the catalogue of existing open data sets must be available. Secondly, two or more data sets must be combined efficiently. As this is outside of the original scope of the data providors, tools and services to combine more than one data sets do not seem widely available. The article addresses these issues around combining two or more open/public data sets, as a preparation for statistical analyses.

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Several years have passed since the era of big data came. Furthermore, the development of deep learning in recent years has been remarkable, and it extends not only to the field of image processing but also to the field of natural language processing and speech recognition. In this study, we practice sentence generation, and mainly compare and consider the three methods used there. 1) Markov chain, 2) automatic summary, 3) sentence generation by deep learning (RNN / LSTM). As a subject, it is considered that the connection between sentence and sentence is unnatural as a subject. Consider the connection between natural sentences and sentences that are practical.

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The authors analyzed actual requirements specifications of information systems, extracted business scenario elements and classified them into types of actor, data, behavior and screen. We have defined the business scenario generating rules and developed a business scenario generation tool. The tool generates several identical scenarios from a business scenario. Productive requirements definition can be expected by utilizing this tool.

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Watanabe (2017) showed that the news of the regional activation strategy utilizing My Number cards may in some cases amplify negative emotions. The purpose of this paper is to extract tweets on (1) quality of system, (2) quality of information, (3) quality of service that affect the intention of using the system from the tweet data from March 2017 onwards, based on the IS Success model and analyze the contents of the tweets.As a result of the analysis, it turned out that there were many tweets that the convenience of residents' services was declining by the number card (deterioration in the quality of service).

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An information system is the formal law of causality of the information stimulus recognized in the media environment where people communicate.
Simultaneously, an information system leads people's cultural behaviors and the system is positioned to the society as a core of media culture.
In the information system researches, some examples forming the unique media cultures have been also discussed.
However, those researches are only the case reports led to the success by unexpected side effects.
This report discusses the method for designing the information systems as substance which is formed continuously in the media environment and which leads people's cultural behaviors as the law of causality of a notional information stimulus, and also being led to the media culture.

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The purpose of this research is to clarify the fact that selective training is shared with the corporate philosophy as one of the important factors for improving motivation for promotion of section manager
From the interview survey at holding company Y, it was found from the classification of selective and non - selective training for section manager, a broad perspective including personnel exchanges to operating companies.
This suggests that we are conducting philosophical training for all employees, that is, because there is a sharing of the corporate philosophy, it is considered that this leads to motivation of the section chiefs.

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In recent years, universities emphasize collaboration with local communities as their obligation.The university education and student guidance also reflect the impact of the collaboration, and aiming at local contribution and IT personnel training addressed to students, the presenter has had students plan and implement IT-related courses for local residents, programming courses for local residents in particular.
Regarding the results of these activities carried out for several municipalities, the presenter considers whether these activities have really fulfilled their role as a contribution to local communities and whether they have been effective for programming education for students and IT personnel, providing a report based on the consideration.

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Our research tackles the investigation and scaling of dissatisfaction with on-site supervisory management against creative person (creative class) actively working on the development of new technologies and new services. We consider there is a negative impact of leadership behavior arising from Japanese corporate cultural background. As a preliminary survey, we set up a working group on this issue and interviewed the actual situation. In this presentation, we report on the result that we created a draft version of the survey to investigate factors of job dissatisfaction of creative class.

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Our company focused on nursery operation system, taking over the measures of national measures, 260 customers nationwide use it.
In the nursery facilities we will report the usage status of the garden every month to the municipalities. In the municipality, the numerical value reported from the nursery facility is summed up by the addition items prescribed by the Ministry of Health, Labor and Welfare, and administrative benefits to nurseries are paid.
A systemized version of the work at the childcare facility described above is called our system "Osakaru system", for municipality is called "Oharu webrepo", aimed at solving regional problems with Takizawa city, Iwate prefecture It was developed in collaborative research project.
We introduce the process of productization and the process to completion.

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Since the establishment of the ERi corporation we have been developing business using wireless communication technology utilizing Bluetooth. As a result of focusing on commercialization based on original ideas of the company, in 2012, we successfully commercialized the world's first Bluetooth beacon transmitter for smartphones "BLUETUS (R)". We are currently working on the research and development of indoor position estimation system "BLEGONIO" as a product development of BLUETUS. In research and development, we are actively collaborating with neighboring universities. We introduce the development of these two products.

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Companies that use bitcoin, one of the cryptocurrency, in transactions are increasing, but losses in the event of leakage on the private key are inevitable.
The existing hardware wallet (Hardware wallet : HW) that manages the private key can be used even when the host is connected to the Internet, and there is a risk of illegal operation on the HW by the bot.
Therefore, we propose a protocol that allows the host to use the hardware by confirming disconnection from the Internet, and compare the execution time of conventional transaction generation with the proposed method.
As a result, although the overhead exists in the proposed method over the conventional method for generating transactions, we report that the security improves.

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Innovation can be classified into two types: incremental innovation and radical innovation. Incremental innovation is a series of improvement of existing technologies. Radical innovation completely replaces existing technologies. Creating both innovation is essential for firms to achieve sustainable development. Although many exiting studies have analyzed innovation by using patent data, none of them distinguish two innovations. This study classifies patents into “incremental patent" and “radical patent" representing incremental innovation and radical innovation, respectively. Furthermore, we clarify the characteristics of both patents focusing on their cited patents.

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The creation of innovation is a key issue for firms. Many existing studies have analyzed the impact of technological knowledge diversification on the creation of innovation by analysis using patent data. However, these studies were conducted on industry or firm level and the impact of the knowledge characteristics within a group of inventors on patent value is unclear. Therefore, we attempted to clarify the type of group of inventors that can create a valuable innovation quantitatively using patent data. Our findings provide new suggestions for firms' technology management strategy.

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This research focuses on the management philosophy and demonstrates the influence on early turnover with regard to organizational performance such as corporate profit.
We divided words included in the management philosophy into clusters by text mining,
and conducted statistical analysis using data of the manufacturing industry.
As a result, it was clarified that words in the management philosophy has the influence on early turnover and others.
One of theoretical contributions of this research is as follows.
It shows the relationship between organizational performance and the management philosophy, and provides a new viewpoint to problems, such as early turnover.
As a practical contribution, it brings information for defining and reorganizing the management philosophy.

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We have developed the stratified N-Gram method, which is able to extract coined words and phrases those are difficult to extract by morphological analysis. Moreover, we proposed the method to extract the strategy-words with differences among enterprises and changes in time sequence, based upon stratified N-Gram. We also proposed the method to extract companies and periods, which are presumed that they had been under characteristic business conditions (e.g. unique management policy), by identifying financial indicators that show characteristic behavior against other competitors for specific period. In this article, we propose a concept of "Enterprise Information Mining", which extract valuable information from time sequences of both text data and corporate financial data.

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Organization-wide utilization of big data requires a relevant governance process, which is big data governance. Big data governance is a complex process comprising business administrative activities such as IT capabilities building, IT governance and IT outsourcing and data management- and data analysis-related activities such as data governance, business intelligence, analytics and IoT. This study analyzes a citation network of articles of studies related to these activities and verifies the existence of a complex research area of big data governance.

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In this paper, we propose a method to recognize operation contents from power consumption pattern of manufacturing equipment for the purpose of improving productivity in manufacturing industry. The main purpose of our research is to reduce unnecessary power and operations in the manufacturing process by using the actual power consumption data of the machines. The proposing method consists of following two stages. (1) Extract each operation period from the series of waveform of power consumption mixed multiple working operations, (2) Recognize operation content from the extracted waveform. As a result of evaluation using the actual manufacturing equipment power waveform, it was confirmed that the operation contents can be extracted automatically.

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In Japan, the aging society increases demands of public buses. However, the number of users of buses has continued to decline, it means maintaining the bus-business until full-scale demand arises is very important as social task. In our research, the prediction models of passengers have been studied for the purpose of improving the operation efficiency of the bus business however, some errors caused by irregular factors not based on the basic model factors. In this paper, we propose a classification of factors that cause errors and a new prediction model that can naturally absorb the irregular influences.

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In markets with network effects, the first firm that establishes a large installed base of customers has a decided advantage. Thus, it is important for a firm to gain market share at an early stage of market development. However, it might be wrong for a firm to place too much importance on gaining market share, because some researchers point out that not every successful firm was a first mover. Therefore, further understanding of network effects is required. This study aims to quantitatively clarify the network effects from a hypothetical viewpoint that the impact of network effects on diffusion of service or product may differ at each diffusion stage of market development.

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The platform business has attracted a substantial amount of attention. Platform providers earn a profit by offering the platform infrastructures and rules for different user group's exchanges. Because the network effects work in this kind of services, the first firm that establishes a large customer base has a decided advantage. Thus, it is important for platform providers to diffuse their services rapidly. By using text mining, this study clarifies the factors promoting or inhibiting diffusion of the services provided by platform providers. We provide new suggestions for platform providers to diffuse their services.

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In order to understand consumers' purchasing decision process, two research approaches are well known. One is analytic approach that statistically analyze questionnaire surveys to derive it, and the other is constitutive approach that verify the assumption for it by dynamic simulation such as MAS (multi-agent simulation). Conventional constitutive researches typically verify the assumption model by comparing simulated trend of sales volume with actual trend as observable metrics. In this article, the authors propose a model verification method, which can compare simulator agents' decision process with actual questionnaire survey. Then, the proposed method has been implemented on generic MAS simulator, by adding two features that are logging agents' decisions and answering to questionnaire. Finally, pilot trials of this method are discussed.

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Marketing activities through the platform are important for innovation in new product development and product innovation. Can businesses bring sustainability to products by marketing activities, and can they lead products on a continuous basis?
In this research, we analyze the marketing model utilizing platform based on information communication technology. The purpose of this research is to examine how information deterioration, regression, regeneration and sustainability can continue to effectively report on the marketing strategy of food related products.
In this method, a questionnaire survey was conducted, and it was conducted to 500 men and women in their twenties.
This result encourages food-related companies to utilize the platform and can provide rich information provision to consumers and continuation and excavation of services.

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This study examines managerial efficiency of nine regional banks that was newly established by mergers conducted from 2002 to 2013. For the purpose, this study estimates stochastic frontier production functions using a data set comprising the nine merged banks and the other non-merged regional banks. Ordinary revenue is used as a dependent variable, and number of employees, number of branches, and fund procurement cost are used as independent variables for the production function. Estimation results present statistically significant coefficients of the number of employees and the fund procurement cost, and found significant differences in efficiencies between merged and non-merged banks. The result does not necessarily indicate the merged banks improve their managerial efficiency.

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News articles have a significant role in financial markets. In this study, we analyze the relationship between news articles of listed companies on Korea Exchange (KRX) and trading volume using intraday stock price changes.

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The Japanese petrochemical industry has acquired a competitive advantage from self-development technologies, based on a number of technology insertion. This study demonstrates the influence of technology insertion on research and development (R&D) capability. The study employs network analysis and statistical analysis using data from 2009 and 2013 for technology insertion in the petrochemical industry. The results show that technology insertion positively affect R&D capability. Furthermore, the results also demonstrate a marginal effect of technology insertion on R&D capability. The effect of external knowledge network efficiency in firms' networks that have similar technology insertion on R&D capability is also marginal. This research demonstrates the mechanism of the result through the existence of technological knowledge transfers in the external knowledge network.

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While traditional business process modeling focuses on systematic and precise description of task execution sequences along with the information on related resources and organizations, limited attention is paid to temporal properties, such as task execution delay and deadlines. However, actual business processes include various asynchronous waits which form waiting lines for each task, and these processes show the aspect of ``queuing networks". This paper proposes a Colored Petri net (CPN) based approach to integrate the above function oriented business processes with the temporal and probabilistic queueing networks, which makes it possible to model and evaluate the business processes from functional and temporal viewpoints simultaneously.

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Researches on leadership for corporate organizations have been not found and others, but measures to make leadership perceive to followers are not mentioned.
The purpose of this research is to create a model that can evaluate the recognition of leadership to build measures to recognize leadership. There are four types of leadership: instruction, empower, exchange, transformation. Of these, the transformation type and the exchange type are formalized in the Principal Agency model that generally shows the relationship between the leader and the follower of the conventional research, while the indication type and the empower type are not formalized. Modeling those two types of leadership is required to comprehensively evaluate leadership. Our final goal is to create a unified model that integrates four types of models.

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Ms. Wakamiya Masako released her iOS application "hinadan" at the age of 81 and was introduced as the oldest developer in WWDC 2017. In this research I will describe contrivance that I brought in programming at Mr. Masako Wakamiya until she was 81 years old at that time and brought the programming to a place where beginners can release applications in about six months and describes the findings obtained from the elderly programming.

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This study examines influence of environment-related corporate social responsibility (CSR) on firm's financial performance. For this purpose, we use a data set comprising various industries over the period from 2012 to 2016. Environment-related CSR items can be classified into groups based on their characteristics. This study applies panel data estimations to data that comprises four financial performance measures such as ROA (return on assets) and ROE (return on equity) as dependent variables, and environment-related CSR items as independent variables. From empirical results, this study indicates environment-conscious management improves financial performance of firms.

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The relationship between CSR activities and corporate financial performance has attracted attention as the importance of corporate social responsibility (CSR) activities has increased. Existing studies suggested that CSR activities may enhance the corporate financial performance. However, every company cannot increase corporate financial performance through CSR activities. Thus, it is required to clarify the type of company that can enhance corporate financial performance through CSR activities, focusing on the characteristics of the CSR and business activities. This study extracted the characteristics of each company's CSR activities by using text mining on the CSR reports. We revealed the characteristics of the company can achieve high corporate financial performance by promoting CSR activities.

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The importance of corporate social responsibility (CSR) activities has increased. In addition, existing studies suggested that CSR activities may increase the corporate value and corporate financial performance. However, although many companies conduct a variety of CSR activities, it is unclear what the impact of the difference of contents and levels of CSR activities on the corporate financial performance.
Therefore, this study clarifies the relationship between CSR activities and corporate financial performance quantitatively, focusing on the contents and levels of CSR activities of companies. Our findings provide new suggestions for CSR strategy.

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This paper demonstrates the mechanism of the effect of educational philosophy on the appeal of high schools. First, this paper extracts words from educational philosophy of private high schools in Tokyo from 2016 to 2017 by text mining. Next, this paper analyzes words statistically based on classification by cluster analysis. Results demonstrate that although the word “global" has a negative effect on the appeal of schools, has also interaction effect with negative and positive. Furthermore, the effect changes depending on the academic level of universities. This paper suggests the importance of revising educational philosophy in order to increase their appeal in accordance to change of the student achievement with the growth of school by macro data.

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Attention to corporate social responsibility (CSR) has increased recently. Through empirical analysis, this study demonstrates that organizational pride influences organizational performance. Organizational pride is an emotion that is cognized high social honor. This research analyzed published data about CSR. The result shows that organizational pride positively influences organizational performance by Structural Equation Modeling (SEM) analysis using CSR-related factors specified by exploratory factor analysis. This demonstrates the importance of fostering organizational pride using CSR through corporate strategy. Furthermore, this study presents an index of organizational pride that uses objective macro data rather than subjective questionnaire data.

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In recent years, reduction in qualities of field crops by global warming has become a problem. For that reason, research on growth prediction, high temperature injury and cultivation management has proceeded. However, those research results unable to utilize in the area. In this study, we developed the development and utilization environment for agricultural applications using meteorological data. Administrators of this system can register formulas such as growth prediction models, rules to generate warnings, and transmit real time warning information to users in order to support agricultural researchers and farmers in rice management.

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Interest in regional history and culture succession is growing throughout the country in recent years. Regional history research association in Hanamaki City, Iwate Prefecture named “Furusato Isan Research Laboratory" is building a digital archive for the purpose of inheriting the history and culture of the local area. This association is interviewing citizens about history and culture. The dictation record obtained by the interview is accumulated and released after edit into “Kikigaki".
We developed "Organize and Presentation System of Kikigaki". This system organizes "Kikigaki" based on field research methodology. In this research, we introduce the activity of collecting cultural resources in cooperation with the local community, conducted jointly with the institute. After that, we report validations and evaluations about developed system.

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This study aims to provide a new method to improve accuracy of a summary by employing ontology in automatic summarization of academic articles focused on segment structure. Existing automatic summarization methods cannot recognize the meaning or interrelationships of the meaning of words. Ontology can recognize them and it is expected to enable more precise choice of important sentences. Specifically, this study aims to increase accuracy of choosing important sentences that are suitable for each segment by assigning ontological characteristics to each segment. Also, this study aims to improve overall quality of the summary by adjusting sentences picked up from each segment, considering interrelationships of the meaning of words.

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At present, many ski resorts are being forced to closed / closed business due to the decrease in the ski population in Japan. For sustainability of ski resort management, it is essential to change business model. For many years, we have been conducting a questionnaire survey with the target field as the Appi Kogen ski resort in Hachimantai City, In our laboratory. This time, from the interview survey, it became clear that we are progressing the change of business model, and we conducted stakeholder map and ROI analysis. Examine the possibility of ICT support for existing ski resort issues.

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In a certain cafe, as an information sharing tool between the staff in the shop, we utilize "a communication notebook". I performed the thing called “the joint list" in five weeks that I connected with motivation of the staff about importance of the information sharing to demonstrate whether this “communication notebook" had usefulness. By a questionnaire before and after enforcement, I analyzed a change of the consciousness for the information sharing of the staff. I will examine an information tool information sharing, and hold to increase motivation between the staff further while playing a role as “the communication notebook" in future.

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It has elapsed more than six years from the nuclear power plant accidents in the east Japan earthquake occurred 3/11/2011. Some of the evacuees are beginning to return to hometown once lived. Upon return, It is needed what local government policies,details of support, the degree of need and frequency, on the priority of the item do not also become clear from the Government investigations.
In this study, I learned the truth that the actual return of 47 through the interactive survey. I classified findings, items that already with, in the future the necessary items, now just need items. In addition to recommendations an effective policies in order to achieve the items need right now and the items needs for future.

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We focus on IoT based management for a business process as a project that is constructed as a connected process of “Loose Coupled" tasks. Traditional business management have focused on organizational layer of business processes. We focus on IoT based management for a project based business process where tasks and its loose coupled project are designed, deployed, operated and managed easily. It was hard to collect thee data for the project based business process by traditional way. The IoT based management system will change the adjoint business processes as more flexible and variety of systems.

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In the Japanese automotive industry, as seen in the "Copen" of Daihatsu cars, the exterior parts that are attached later, such as conventional grills, skirts, spoilers, etc., are of the same shape, but now the shape of them are available to be customized with a 3D printer. Here we can see an example of the shift from mass production to mass customization. A supplier of certain foundries manufacture molds such as turbochargers, cylinder blocks, and exhaust manifolds with 3D printers for 10 years.
However, in many automotive manufacturers and suppliers, the production of parts with 3D printers has not been replaced by conventional construction methods. This paper discuss the problems and their solutions for dissemination of 3D printers from the usage situation in Japanese automotive industry.

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Recent years, various types of markets are matured, commoditized, and digitized, under this condition business environment is changing. Hence many enterprises cannot deal with these changes by traditional ways of value creation, it is becoming difficult to create value. Then, it becomes difficult for enterprises to establish sustainable competitive advantage. This research, focuses on open innovation which is one of the effective innovation concept, and considers methods for establishment of sustainable competitive advantage for the market condition changes. Therefore this research, considers new value itself and also value creation methods for adapting current market condition changes.

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This study focuses upon an innovative industrial product that one of the smaller firms in Higashiosaka city developed. The aim of this paper is to clarify factors of blocking the diffusion of the industrial product (the PA13-A) which contributes to life support when disaster occurs. Next, from the result of interviews this research proposes a more effective way to enable its diffusion and make a business take off. If disaster occurs and the city gas line stops, ‘the PA13-A Gas Generator' will be able to keep on offering gas for people. There are achievements with the introduction of PA13-A in the Great Hanshin Awaji Earthquake, the Niigata Chuetsu Offshore Earthquake and the Great Tohoku Japan Earthquake.

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In the final year of our active learning(AL) research, we study more practical and retentive learning about user innovation, which is based on the AL through collaborations between industry and academia. On the academic side, using text mining, we evaluate students' activity records, and therefore quantify and visualize the progress and effect of our AL, in order to understand the meaning of collaborative activities and learning effectiveness. Furthermore, on the industrial side, we can ascertain the needs of potential customers and then develop products or services, through our co-creation activities.

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More than half a century has passed since Japanese government started to perchase IT systems. In the history of IT-procurement, although we have a lot of projects with huge costs, some systems are not fully effective or that we can not see the expected services. The report by Board of Audit tells these cases in these years. In this presentation, as an effort to make a difference such a situation, I will organize the key points of the improvement of the communication environment and introduce the human resources strategy that Board of Audit is working on.

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In order to make a breakthrough in stagnant e-local
government movement in Japan, we did some preliminary analyses on current status and disturbing factors against e-local government and Business Process Re-engineering in local government by utilizing micro-data from "Survey on Current Status of Wrestling with Reform of Local Governments'
Service" conducted by Ministry of Internal Affairs and Communications in fiscal year 2016.

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