The circular economy is now being applied to the corporate value chain. Companies are working to integrate the circular economy principles into their business models. This paper examines how the circular econ-omy affects firms' business models and what the issues are.

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Aoyama Gakuin University has been conducting a PBL-type class for planning CE product and service businesses since 2020 in order to develop human resources with the ability to produce Circular Economy for the future of Japan. This study introduced a customer engagement behavior analysis process and examined its effectiveness and challenges.

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Today, global societies begin to consider shifting from mass consumption types of economy to circular types of economy which is achieved by using circularly global environment resources. Now, the concept of “co-creation” which is one of the important types of relationship between company and customer changes greatly. Therefore, management technology needs to change in the correspondent range and flow of applying the steps for changing the society, too. Job function deployment is applied to visualize business operations and consider quality assurance subjects in corporate activities. In this study, we consider new applications of job function deployment within the larger framework of society, such as utilizing job function deployment in customer activities.

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Hinohara Village has implemented various measures to combat population decline, but the decline has not been halted. With little flat land and the current situation making it difficult to attract large-scale businesses, promoting tourism that makes use of nature is one effective measure. In this study, we consider how smart tourism can be used to increase tourist interest.

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Hilly and mountainous areas have only small sized the primary industry and the tour industry, and they have been losing employed population and achieving depopulation. This case study based on business administration approach is trying to verify the advantage and effectiveness of secondary industry in developed industrial parks (for ex-ample, Kanazawa Techno-park) are founded on the independent activity and policy of local cities, towns and villages in hilly and mountainous areas of Hokuriku and Chubu district.

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This session will examine how the use of drones, which has been called the “industrial revolution in the sky,” can be a catalyst from the perspective of regional revitalization by examining examples of their use in rural areas. We will also extract the possibilities and challenges of drone-based industrial promotion, and examine its application to mountainous regions.

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I conducted a quantitative an analysis on how the number of visits influences the development of fondness for the region in Hinohara Village and Forest of Tokyo Citizen. Additionally, I conducted interviews with repeat visitors to carry out qualitative research and analysis.As a result, I found that repeat visitors tend to change their behavior with each additional visit.

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Hinohara Village, Tokyo is a village located in the westernmost part of Tokyo with a population of just under 2,000 people. Here, we discussed effective information dissemination using videos and efficient video production workflows while actually producing videos in Hinohara Village and Hinohara Citizen Forest in Tokyo.

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Hinohara Village, located in the westernmost part of Tokyo, is suffering from a depopulation. However, not a small number of residents are moving to the area to relocate or live in two places. What are the reasons for moving to Hinohara Village? How are the village and its residents accepting them? Through interviews with local residents, we examine how village policies and local initiatives and activities affect the integration of imigrants.

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Digital transformation (DX) is progressing in every industry. In the non-life insurance industry, DX has been positioned as one of the management strategies. Those efforts have led to concrete results, such as several insurance companies being selected as DX brands run by the Ministry of Economy, Trade and Industry. The purpose of this paper is to get hints for promoting DX in Japan by researching the efforts of each insurance company.

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Digital Governance Code as a DX management principles has been proposed to improve business value. However, Digital Governance Code description did not clearly express with visual diagrams. In this paper, we propose a visual model that expresses the Digital Governance Code using ArchiMate an enterprise architecture modeling language.

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This paper explores the concept, research background, and industrial trends of Femtech, which is still not widely recognized in Japan. By comparing the adoption of Femtech in Japan with that in other countries, the challenges specific to Japan are identified. Based on this analysis, the paper presents how Femtech can contribute to DX (digital transformation) management and proposes effective ways to integrate Femtech into DX strategies. The impact of Femtech extends beyond generating business revenue or improving women's health and restoring their workforce participation. By leveraging digital technology, Femtech fosters diversity through in-creased female participation in production and management. This paper argues that Femtech can be a critical tool in DX management, facilitating the cross-disciplinary integration of human resources, technology, and industry, thereby creating both economic and social value.

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This paper reports on some aspects of the actual state of DX based on a questionnaire survey, and analyzes the relationship between ambidextrous capabilities and DX. As a result, three scales of ambidextrous capabilities were derived, revealing that exploration facilitates DX of innovative themes, while exploitation for process facilitates IT use of traditional efficiency introduction.

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To solve complex social issues, addressing them as a System of Systems (SoS) is necessary. In this context, it is essential to describe the architecture of the entire SoS from the architecture of individual systems, assuming digital transformation (DX). It is effective to describe this based on ontology.

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Artificial intelligence (AI) is being utilized in a variety of fields with remarkable speed. As the practical application of AI advances, concerns about ethical, legal and social issues (ELSI) are increasing. This study summarizes the characteristics of AI-based autonomous technologies and discusses the quality and management required when implementing autonomous technologies in society. We illustrate the risks involved in autonomous technologies such as generative interactive AI using Large Language Models (LLMs), and discuss the management system for these risks, and then, demonstrate the new assignments for quality management in the future.

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Adventure safely culture is an important key to a challenging society, but it must be supported by solid technology that supports a challenging society. As part of the creation of such technology, this paper reports on the development of test methods for safely simulating wind tunnel fall tests necessary for the development of technology to protect people from the adventurous and challenging hazard of falling flying vehicles, and the research and development of flying vehicles that can fall and land slowly without tipping over.

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In recent years, the use of chatbots in e-commerce has significantly increased. However, whether purchasers are willing to disclose their personal information to chatbots (such as product preferences), accept purchase recommendations, or change their purchasing intentions based on chatbot interactions remains under investigation. This study reviewed current literature, drawing on similarity-attraction theory, examined whether the verbal style similarity between purchasers and e-commerce chatbots influences purchasers purchasing decisions. Based on our review, we identify key research themes in personality similarity and its impact on customer self-disclosure and purchase intentions. Additionally, we highlight several opportunities for future research to examine how specific personality traits, such as agreeableness and openness, to enhance customer engagement and decision-making through verbal style design.

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This paper proposes guideline like educational plans for robots to improve trust based on the social background of culture, technology, and use environment by comparing the differences in trust in care robots among Japan, China, Europe, and America. By collating the concept and structure of trust and identifying the factors that influence trust, guideline for robot development methods to improve effectively trust in care robots.

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Patient harassment, in which medical staff are subjected to abusive language and unreasonable demands from patients and their families, is becoming a problem. Some cases have involved violent or sexual harassment, and some hospitals have begun holding training sessions in cooperation with the police. This study focuses on stress as a cause of patient harassment, and aims to prevent patient harassment by increasing a sense of coherence through dialogue with an AI robot.

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Recently, the framework for human-in-the-loop machine learning has been discussed to improve the quality of learning, while the framework for society-in-the-loop machine learning is also discussed to enhance the social acceptance of artificial intelligence. This paper discusses the importance of framework for community-in-the-loop machine learning addition to the above two frameworks and the future direction of machine learning in human-symbiosis systems.

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In response to the increasing frequency of water-related disasters attributed to climate change, a river-water flow index that integrates synthetic aperture radar (SAR) and multispectral data had been developed in our laboratory. In this report, we present examples of our research involving field surveys and data collection to verify the evaluation results of the proposed indicators.

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With the rise of small satellite industry, the use of remote sensing in disaster management is changing dramatically. Then, satellite resource management systems that can handle the use of a large number of satellites and satellite observation trigger systems have become necessary. In addition, there is an urgent need to develop human resources who can look over at disaster management as a whole or who can manage cooperation with highly specialized fields. This paper discusses the concept and specific measures to promote these efforts.

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Remote sensing technology, which excels in its wide-area coverage and simultaneous performance, is used in a variety of situations in the agricultural and forestry fields, and satellites, aircraft, and drones are used across the board depending on the purpose and the size of the target area. Collaboration with many institutions is essential for measurement and research using these diverse platforms. In this presentation, we will introduce examples of cross-functional use of satellites, aircraft, and drones in the agriculture and forestry fields, and look forward to the future of multi-agency collaboration.

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Remote sensing technology has a 50-year history in the field of satellite remote sensing, and many research achievements have been accumulated. These technologies are expected to be utilized in the field of remote sensing using drones, but it seems that the accumulated knowledge has not been fully utilized. Depending on the purpose of the shooting, it is necessary to select the wavelength, determine the resolution, set the flight altitude, process the images, and perform correction processing, and these know-hows have not been established in the drone industry. In this paper, we summarize the knowledge and human resources required for remote sensing using drones, and explain the necessity of research that collaborates with multiple fields and the need for cross-disciplinary human resource development.

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In this paper, based on a survey of attitudes conducted by the author in December 2022, we consider the relationship between population decline and people's sense of happiness, focusing on the differences between urban areas, which are experiencing a relative influx of people, and rural areas, which are experiencing an outflow of people.

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People make decisions based on a variety of values, and there are conflicting values in individual decision making. While it is almost practically impossible to choose an alternative that fully optimizes these various values, it is relatively possible to choose Pareto-optimal alternatives. However, real humans use cognitively simplified heuristics, and there is some question as to whether they can choose Pareto-optimal alternatives. Based on previous studies (Takemura, 2024, Paper presented at the European Mathematical Psychology Group Meeting, Takemura et al. 2024, Abstracts of Papers Presented at the Behaviometric Society Meeting), we propose a multi-stage simple heuristics performed by humans, including are considered from the perspective of Pareto optimum, and the problem of decision execution under pluraristic values is discussed.

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ChatGPT, a generative AI that emerged in 2022, is being used in a wide variety of fields, including customer support, content generation, translation, and educational support, beyond the framework of a simple search engine. In this study, we will verify that ChatGPT can reduce the time required for decision making by using it in consensus building situations through gaming. In addition, we examine the bias effects of expressions on episodes, advice, and reasons for decision-making when LLMs intervene in the decision-making process for complex episodes through machine learning and evaluation by LLMs (LLMs as a judge).

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This study analyzes the integration process of conflicting values- sustainability and economic growth in regional businesses from a regional management perspective. We examine the collaborative decision-making process involving diverse stakeholders, including local governments, businesses, residents, civic organizations, and external forces. Through case studies, particularly focusing on Hinohara Village in Tokyo, we aim to elucidate specific measures and their effects in achieving a balance between environmental conservation and economic development. The research investigates how these various actors interact and contribute to the formulation and implementation of sustainable policies. We explore the challenges and opportunities presented by this integration process, considering factors such as local resource management, innovative business models, and community engagement strategies. The study also addresses the role of traditional knowledge and practices in fostering sustainable development. By analyzing successful initiatives and identifying key factors contributing to their effectiveness, we seek to develop a comprehensive regional management model for sustainable local development. This model aims to provide practical insights for policymakers and local leaders, offering a framework for navigating the complex interplay between sustainability and economic growth in regional contexts.

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In modern society, the economic value pursued by economic growth and the human values of the communities that form society often align, but they can sometimes conflict. This study aims to empirically examine the impact of economic growth on people's well-being, using suicide rates as a key indicator. Furthermore, it explores how to balance the population approach, which aims for the optimization of the group as a whole, with the high-risk approach, which focuses on rescuing vulnerable individuals, in the context of comprehensive suicide prevention strategies.

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Based on my wide-ranging experiences working at a private research institute, creating venture company, and teaching at educational institution, I will discuss the importance of career diversity and continuous learning. Also, based on my study at MIT Sloan School of Management and the impact on his subsequent career, I will explain the significance of developing human resources through recurrent education and self-help efforts.

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This paper explores the future of human resource development in a rapidly changing global society, drawing upon the educational principles of MIT Sloan School of Management and the experiences of its alumni. It emphasizes the importance of multidisciplinary collaboration, global perspectives, and continuous learning in shaping tomorrow's leaders. By analyzing the 30-year international careers of four MIT Sloan graduates across diverse fields, the study offers valuable insights into effective talent cultivation strategies. The research highlights MIT Sloan's practical approach, which integrates theory and practice, and examines its applicability to the Japanese context. It discusses the significance of networking and cross-cultural experiences in fostering innovation and adaptability. Furthermore, the paper proposes new paradigms for professional education in Japan, addressing the challenges of technological advancements and social transformations. Ultimately, this study provides a blueprint for developing resilient leaders capable of navigating and thriving in an era of constant change, offering actionable recommendations for organizations and educational institutions alike.

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The Noto Peninsula Earthquake of 2024, which occurred on the 1st day of January, caused extremely extensive damage mainly in the Okunoto region, where the ageing of the population is extremely severe. In this paper, we report some results of population structure changes from 2010 to 2020, in the landslide hazard warning areas, the special landslide hazard warning areas, and areas where actual landslide damage was detected by the Geospatial Information Authority of Japan (GSI), utilizing some open datasets.

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The Disaster Countermeasures Acts clearly mentions that requires municipalities to enlist natural disaster survivors to support the survived victims. The National Government of Japan offers municipal governments a kind of information system, named the “Disaster Survivors Support System,” to assist them in this task. We advocate to utilize some functions of the “Disaster Survivor Support System,” in order to make further fewer disaster victims, based on the concept of the AISAS model in consumer purchase behavior sciences.

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Floods are one of the most frequent disasters in Japan. Early evacuation of vulnerable older people during disasters is an important challenge. The purpose of this study is to describe relationship between changes in functional capacity and social activities among older people who have experienced a disaster. A large number of types of social activities before the disaster was associated with maintaining the functional capacity after the disaster. These findings suggest that social activities and functional capacity are important components for indi-vidual evacuation behavior plan of vulnerable people.

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This report presents the results of a survey investigating how prior knowledge of 'anxiety factors'—the concerns felt by others of the same generation— affects their own evacuation planning of young people when using flood hazard map.

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In this study, we conducted experiments and surveys to investigate the effects on the viewers and the implementation of disaster-prevention measures of the high-resolution and colorization of past disaster movies. As a result, it was found that low-resolution black-and-white movies give different impressions to viewers than the 8K color movies.

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The purpose of this study is to identify the competencies required for digital human resources. Using text-mining on verbatim transcripts obtained from the interview survey, a comparison of the perceptions of engineers belonging to business firm and system integrator was conducted. As a result, words such as “communication” and “team” were extracted as characteristics for the business firm, while words such as “skill,” “evaluation,” and “customer” were extracted for the system integrator.

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The purpose of this study is to solve the problem of improving the competencies of digital human resources in operating companies. In this paper, we first report an overview of the survey research on the competency of digital human resources that has been conducted to date. Next, we introduce the workshop we developed to solve issues related to the development of digital human resources at operating companies, which were extracted from the survey results.

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This qualitative study employs the Lifeline Interview Method (LIM), a semi-structured interview technique, to investigate the psychological phenomenon of Self-Perceived Burden (SPB), wherein patients perceive themselves as burdens to their caregivers, impacting open communication and access to support. By systematically capturing patients' psychological transitions related to SPB, this study aims to derive in-depth insights into their emotional experiences. The data collected through LIM are analyzed to reveal recurring themes and patterns in patient perceptions, enhancing our understanding of SPB in healthcare contexts.

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The rapid advancement of generative AI in recent years has been remarkable. It has been found that, despite certain limitations and challenges, generative AI can interpret co-occurrence network diagrams, a task traditionally requiring a considerable level of expertise in text analysis. This paper takes the analysis a step further by investigating the extent to which generative AI can propose solutions based on the features identified through the interpretation of co-occurrence network diagrams. A comparative evaluation is conducted between the proposals generated by AI and those made by human experts, aiming to assess the potential of AI in contributing to problem-solving within text analysis.

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In order to successfully develop a system, it is important to understand the needs of the users and to accurately define the requirements. However, users are rarely able to articulate their requirements in a clear, structured way. In this case, engineers can interview users and organize the requirements together with them. This paper reports on the results of research to date on how to effectively perform this task using generative AI.

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As autonomous driving systems evolve, ensuring both functional safety and cybersecurity becomes increasingly critical. ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) share significant similarities, such as their risk-based approaches and V-model development processes. By integrating these standards, the interdependencies between functional safety and cybersecurity risks can be consistently managed, enhancing the system's overall reliability and safety. This paper considers the importance of adopting a unified approach that leverages these process similarities to address the growing complexity and risks in autonomous driving systems.

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Railways consist of multiple control systems, such as operation management, signaling, and power, which are spread over extensive areas along railway lines to ensure safe and efficient operations. Recently, there has been an increasing threat to the cybersecurity of these control systems, necessitating countermeasures. In the railway sector, a new international standard is being developed, based on the existing IEC 62443 series for general control systems, but tailored to the specific needs of railways. This paper provides an overview of control systems in the railway sector, the necessity of cybersecurity measures, and the efforts of various countries. It also outlines the international standardization of cybersecurity for railway control systems and discusses the significance of promoting international standardization within Japan's railway industry.

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Traditional security has aimed to protet systems with strong walls, but attack methods have become more sophisticated each year. As a result, it is becoming increasingly difficult to protect systems using methods that overcome known threats.This paper explains the concept of resilient security, which aims to create systems that can flexibly respond to environmental changes and counter unknown thresats, rather than building rigid, immovable walls.

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The authors showed that the birth of generative AI will increase the importance of research on Attack by AI. Then, the authors examined “Terminator” type, “2001: A Space Odyssey” type, and “Mad Scientist” type attacks against humans by generative AI, and countermeasure plans for those attacks. In order to find an appropriate combination of countermeasures, we developed an improved MRC-EDC method and applied it on a trial basis, which showed five cost-effective countermeasures and confirmed the effectiveness of the method.

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A methodology that allows safety and security to be modeled in an integrated manner is the safety engineering methodology STAMP, which is based on systems theory. This paper explains STAMP's risk analysis method STPA and accident analysis method CAST. Furthermore, it shows the concept of safe and secure Decision Intelligence, which is a research project that takes the meaning of complex requirements and preconditions as input based on control commands (decisions) obtained from safety analysis, and then selects answers in a way that is inspired by the results.

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Flexible automation is traditionally a generic expression referring to automation methods and technologies applicable to various manufacturing operations in limited production of diversified products and mass customization. Its concept encompasses multiple aspects of manufacturing, such as intelligent sensing and control, innovative process modeling, lean/agile manufacturing, emerging products, and cyber-physical systems.

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We propose a hypothesis about “the way people think about, understand and acquire knowledge about some objects,” i.e. human intellect. The essence of human intellect lies in the “beliefs” people make about the objects they are considering. These beliefs are formed, updated and fixed within the individual on the basis of the information received about the object in question. This information is of three types: (1) information derived from perception, (2) information derived from prior related knowledge, and (3) information derived from implicit assumptions arbitrarily put. This knowledge, beliefs, as empirical understanding, often implicit or unconscious, enables the parties involved to predict, control, and implement the external world. The act of modeling, i.e., formalizing this understanding into some form of explicit knowledge, and creating a system of this formal knowledge is science. With this model, the parties involved can make scientific predictions, control, and implement the external world, and communicate their understanding to others.

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In recent years, various technologies have been developed to realize a hydrogen-based society. To supply hydrogen on a societal scale, it is essential for multiple technologies to interact and function synergistically. This study aims to build an optimization model for the hydrogen supply chain and analyze the most efficient combination of technologies for constructing an optimal supply chain. We focus on hydrogen production technologies, assessing the viability of hydrogen production from sewage sludge across three scenarios.

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