This study compares how psychological factors; trust, anxiety, and self-confidence shape digital engagement with in Japan and Denmark. As both countries advance digital transformation, concerns about digital inclusion have become increasingly salient, especially for users with low confidence or limited support. Online surveys were conducted in December 2024 and multi-group structural equation modeling (SEM) was applied to compare models for Japanese men, Japanese women, and Danish women. Trust emerged as the strongest predictor across all groups. Anxiety negatively affected Japanese users, especially men, but was not significant for Danish women. Self-confidence also contributed positively in all models.

This paper presents an exploratory online survey (N=1000) on public perceptions of digital recreation services for the deceased, a subset of “death technologies" (des-tech). It examines awareness, willingness to use, and valued elements in posthumous representation. While general awareness was low, it was higher among bereaved individuals and AI users. Traditional services were more accepted than AI-generated interactive ones. Results indicate that users prioritize alignment with memory and reality, highlighting tensions between technical possibilities and personal values in digital memorial practices.

Based on the results of a series of the experimental surveys using BMI (Brain-Machine Interface) devices that the authors have conducted, a follow-up questionnaire survey of people with and without disabilities was conducted to identify how they felt about BMI device usage and what ethical concerns they might have. Based on the survey results, this study attempts to examine their perceptions of 'to what extent it is socially acceptable to use BMI devices and other cyborg technologies to improve the physical or cognitive abilities of people with disabilities'.

This study begins with the "System of System Failures" (SOSF), a practical framework proposed to address ICT system failures, and aims to provide a methodological foundation that enables the sharing and learning of failures across industries. By introducing the concept of a "failure space" and applying metric topology, the trajectories of system failures are visualized, highlighting the potential to utilize past cases for future failure prevention. Case studies in ICT system failures and Sky Sports demonstrate that certain failure domains contain incidents of unknown causes and human errors. A human error framework is proposed and applied to various cases, enabling clearer identification of countermeasures. The applicability of both SOSF and the human error framework is discussed across multiple industries.

Generative AI is being used rapidly in a variety of fields. In universities, its impact has been significant, and it is now widely used in education and research. For example, in the field of education, AI is being used to provide individualized instruction and automatic analysis of learning progress, offering an optimal learning environment for each student.

Cybersecurity has long been a critical management issue for both corporate and governmental organizations. This study focuses on organizational aspects of cybersecurity and explores how an organization's cybersecurity posture can be improved by fostering psychological safety and identifying the process and opportunities of its development. To achieve this objective, we examine cases of initiatives undertaken by cybersecurity teams and related associations, analyzing how they work to enhance psychological safety within and among their organizations.

In an environment characterized by high uncertainty, companies must consistently achieve results by encouraging their employees to adapt their behavior to environmental changes. This makes adaptive and proactive behavior crucial. This study aims to clarify how presenting management philosophies and visions influences adaptive and proactive behavior by focusing on inclusion, utilizing interpretation-level and behavior identification theories. The analysis suggests that the presence of a management philosophy or vision leads to environmental adaptation behavior (adaptive behavior) and proactive change behavior (proactive behavior). Additionally, inclusion is suggested to promote the influence of these factors, though this may depend on the content.

Many companies today face challenges in transferring technical knowledge. While past technical information is often documented, the tacit knowledge—such as thought processes, intuition, and experience—is rarely formalized. The SECI model has traditionally been used to enhance organizational capabilities by cycling between tacit and explicit knowledge, but its application has been limited to human-centered approaches due to the difficulty of mechanizing tacit elements. This study explores the potential of integrating Generative AI into the SECI model to address these challenges more efficiently, leveraging AI's ability to handle ambiguity and human-like reasoning. We report on the conceptual framework and the initial trial of system implementation aimed at improving technical knowledge transfer within organizations.

In this study, we conducted a series of basic research focusing on loneliness and isolation in the workplace, and developed ORINAS, which consists of psychological test tools for measuring loneliness and isolation among workers.

We surveyed employees of companies after administering the ORINAS tool and asked for their evaluations of the tool. Regarding one of the psychological testing tools, the “Stroop Test,"while there were opinions evaluating the usefulness of the test and its effectiveness in deepening self-understanding, it became clear that there were issues with the acceptability of the diagnosis. Additionally, while the fact that it could be conducted in a fun, game-like manner was well-received, it was confirmed that it required concentration and placed a significant visual burden on participants.

This study focuses on label-free bottles that aim to balance environmental sustainability with consumer value. Given the limited visual information inherent in such packaging, we conducted randomized controlled trials to evaluate the appeal of different design elements. Regarding cap color, darker caps were preferred for labeled bottles, while lighter caps received higher evaluations for label-free bottles. This suggests that while dark caps on labeled bottles may evoke a rich flavor, lighter-colored caps on label-free bottles are favored for conveying an environmentally friendly impression. In terms of bottle design, embossed logos were rated as more attractive than colored logos. Rather than adding excessive color, emphasizing brand identity through embossing aligns better with the transparent, label-free aesthetic and enhances product appeal.

As corporate advertising strategies become more diverse, we focused on audio advertising and train advertising, examining their effectiveness in comparison with television advertising. The results of the online survey showed that audio advertising without video had a negative impact on the attractiveness of the product compared to television advertising, but no significant difference was observed between audio-free train advertising and television advertising. This result may be influenced by the unnaturalness of the generated voice. In addition, it was proven that methods that limit the amount of information when using audio advertising do not contribute to increasing the desire to purchase the product.

Many Japanese companies adopt the practice of including information-dense paper manuals with their products. However, such excessive information provision risks impeding users' intuitive operation and increasing their cognitive load during information processing. This study therefore posed the research question: “Compared to thick paper manuals, do thinner paper manuals or digital manuals enhance product appeal?" A randomized controlled trial (RCT) was conducted with 600 participants aged 20–60 in an online survey environment. The results showed that digital manuals significantly increased perceived product appeal. As excessive explanation tends to reduce consumer convenience, practitioners should consider the perspective of “how to eliminate the need for explanation" when designing user experiences.

In recent years, the arrival of the big data era has necessitated the utilization of diverse data in the retail industry.Operating based on traditional reliance on experience has its limits, and the importance of decision-making based on analyses like ID-POS data is increasing.Numerous studies have also indicated the potential for ID-POS data to be effectively utilized in marketing.This study will investigate whether insights useful for sales strategies can be extracted even from limited sales data.Specifically, we will propose a method for determining sandwich combinations that could contribute to increased sales, utilizing sales data from the sandwiches sold at the high-end bread specialty store 'Yurushite Chonmage' Tsuruoka Inter branch.

This study aims to compile the results of surveys and analyses of on-the-job training (OJT) for new employees and young employees, and to examine effective OJT initiatives for improving work engagement. A common problem with OJT is that problem solving at the OJT site by the trainer and trainee has its limits, and intervention by the organization is required. A key feature of OJT for new employees is the importance of the relationship between trainers and trainees, with a need for trainers to provide emotional support and other forms of assistance to trainees. For OJT targeting junior employees, dissatisfaction with OJT policies and systems was observed, indicating a tendency toward issues with the OJT framework itself.

This study surveyed 179 Japanese bottom-layer leaders to examine their decision-making in unstable environments. Exploratory factor analysis identified four factors: efficient/cooperative, compromising/passive, sanction/conformity-oriented, and rule/formality-oriented decision environments. Multiple regression analysis revealed how these relate to group size, longevity, organizational structure, and communication difficulty. Results showed that hierarchical structures reinforced compromising tendencies, while group size, longevity, and communication difficulty influenced conformity and formalism. Practically, support like empowering local leaders and fostering flatter organizational structures is crucial.

This study aimed to systematically clarify the effects of job satisfaction and work environment on individuals through quantitative data analysis. The results suggested that job satisfaction has a strong positive effect on performance and intention to continue working through engagement and satisfaction, while the effect of work environment is limited. Furthermore, no moderating effect of work environment in amplifying the effect of job satisfaction was confirmed. This study highlights the importance of quantitative analysis that comprehensively captures job satisfaction and work environment, and suggests that organizational policies centered on job satisfaction may be effective for future research and practical applications.

In recent years, policy-making has increasingly incorporated citizens' perspectives through initiatives such as consensus conferences and public comments. However, policy effects vary across individuals, making it important to understand these differences. Stakeholder analysis has often relied on qualitative methods such as interviews and literature reviews, which face challenges of reproducibility and comprehensiveness. This study proposes a method that integrates outputs from agent-based simulation (ABS) with machine learning–based structural analysis to extract explainable rules characterizing differences in policy effects from agents' attributes and behavioral logs. The method was applied to an infectious disease simulation, demonstrating rule extraction in vaccination scenarios.

When addressing risks such as panic buying in essential supply chains (SC), ensuring equitable purchasing opportunities is as crucial as enhancing resilience. This study focuses on the toilet paper supply chain, constructing an agent-based model involving manufacturers, wholesalers, retailers and consumers, and simulating three scenarios: a baseline scenario, a demand surge scenario, and a purchase restriction scenario. By evaluating equality metrics combining the Gini coefficient and service level, the results demonstrate that implementing purchase restrictions can improve inventory level during panic buying, promote the restoration of equity, alleviate stock pressure at the retail level, and thereby enhance the resilience and supply efficiency of the supply chain.

A development project of Societal Prototyping Design (SPD), a technology that supports human centered policy design in municipalities using Agent Based Social Simulation (ABSS) is currently underway. To cultivate stakeholders' sense of conviction in the ABSS model, a gaming simulation (GS) has been developed in which participants assume citizen personas and select daily actions. Our research aims to establish a methodology for generating the personas required by this GS. We propose a co creative approach that balances persona repre-sentativeness and realism, thereby enhancing stakeholder conviction even during the persona creation process. In particular, this paper employs MaxDiff analysis to identify the key persona attributes that most effectively support players in imagining virtual citizens' behavior.

This study aims to model and analyze exploitation through hypergames. While previous research has identified the discrepancy between prediction and actual outcomes as an essential element of fraud, it has not been formally modeled. To address this gap, this study defines exploitation as a new concept that includes cases where prediction and outcome coincide. Using this framework, we examine transaction cases between manufacturers and suppliers in the automobile industry and model exploitation arising from misperceptions of payoffs. The findings clarify the mechanism through which exploitation occurs and highlight the difficulty of its detection.

With the early start of job hunting and the diversification of information, the role of university career support centers is becoming increasingly important. However, although the existence of support systems is widely recognized, their actual use is limited, and there is a gap between student needs and the content of the support provided. In particular, changes to the internship system have brought forward the job hunting period, placing a heavy burden on students in terms of career choices and information gathering. This study clarifies the actual use of career support centers, student needs, satisfaction levels, and the career information media they normally use, and considers future support methods.

This study models the military conflict known as the "12-Day War," which occurred from June 13 to 24, 2025, involving Israel, Iran, and the United States. The analysis employs the Graph Model for Conflict Resolution (GMCR) framework to represent the evolution of the conflict through nine distinct states. Equilibria are examined based on five stability concepts: Structural Stability, Nash Stability, General Metarationality, Symmetric Metarationality, and Sequential Stability. The results indicate that the ceasefire observed after June 24 does not constitute an equilibrium; rather, continued hostilities constitute the stable outcome under the model.

As Social Networking Services (SNS) increasingly permeate everyday life, posts on platforms such as Instagram are influencing the purchasing behavior of young people. This study conducted a questionnaire survey of university students to identify the types of posts and senders on SNS that are associated with purchasing behavior. The analysis confirmed a tendency for respondents to be more influenced by visually appealing content and distant senders, such as influencers.

Previous research on firm's knowledge structure suggests that inventive utility is enhanced for firms with a moderate level of "decomposability", which indicates the degree of clustering among knowledge elements. However, the dynamics of decomposability have been underexplored, and the factors that drive shifts toward or away from this optimal level remain unclear. We focus on the degree to which a firm's technological performance rises above or falls below its aspirations, examining how this variance affects the dynamic changes in the decomposability of its knowledge structure.

Today, organizations are facing rapid changes driven by artificial intelligence, digital transformation, diverse values, evolving work styles, economic instability, and unexpected events such as pandemics and natural disasters. To grow sustainably and establish competitiveness, companies must strengthen their organizational capability to adapt flexibly. This study focuses on three key elements of organizational capability: rewards, autonomy, and empowered middle management, which

improve organizational adaptability and innovativeness. This study will verify how each element develops and improves organizational capability by investigating company practices and engagement.

This study proposes an LSTM-based framework for stock price prediction and automated trading using Google (GOOG) historical data (2017–2022). A three-layer LSTM model with dropout regularization (rate=0.2) was trained on 60-day sliding windows of multi-dimensional features (open, high, low, volume, and price change). A dynamic threshold strategy (0.5% minimum change) triggered trades, limited to long positions for risk control. Backtesting showed a 66.59% cumulative return and 83.33% win rate, with an RMSE of 5.024, demonstrating effective noise filtering and cost coverage. However, fixed thresholds and single-asset testing posed limitations. Future work includes adaptive thresholds and multi-asset expansion. The results highlight the potential of deep learning in automated trading while addressing practical challenges.

focuses on how 19- to 22-year-old students, who use smartphones in their daily life, get information about popular games. It also looks at what kind of information sources are used by students who do not usually play games.

To prevent early turnover and facilitate the rapid integration of new employees into the workforce, identifying factors that promote organizational adjustment among new graduate employees has become an important management issue. Previous research has shown that proactive behavior by young workers promotes their organizational adjustment. However, because proactive behavior carries risks—such as triggering negative reactions from colleagues—there are cases where, to achieve smooth organizational adjustment, it is more appropriate to refrain from proactive behavior and instead adopt alternative strategic behavior. This study focuses on the proactive behavior of new graduate employees and its associated risks, and illustrates the process by which they change their strategic behaviors when confronted with such risks.

Burnout is a crucial factor to consider when addressing mental health issues. To prevent burnout from becoming severe, early intervention and action are crucial. Organizational interventions can be categorized into individual-level interventions and organizational-level interventions. As an actual example, some companies aim to prevent burnout by creating an organizational culture that tolerates burnout. From this example, we suppose that organizational culture may enhance the effectiveness of individual-level interventions. The purpose of this study is to explore the impact of organizational culture on the effectiveness of the individual-level interventions, and to propose more effective methods for preventing burnout.

This study investigates the influence of national culture on brand community identification and brand loyalty through a comparative analysis of Harley-Davidson users in Japan and China. Data were collected via both online and face-to-face surveys, using 31 items measured on a 10-point Likert scale, covering brand experience, community identification, brand loyalty, and cultural dimensions. The results indicate that brand community identification is positively correlated with repurchase intention and word-of-mouth recommendation, with a stronger effect observed among Chinese respondents. Furthermore, active communication and participation in events significantly enhance identification and foster loyalty. The findings highlight the importance of designing brand strategies that account for cultural contexts in international markets.

Point ecosystems have become widely prevalent as systems that allow users to access diverse services through a common ID and shared points. However, prior studies employing the Technology Acceptance Model (TAM) to explain service usage intentions have primarily focused on the perceived usefulness and ease of use of individual services, leaving the impact of overall ecosystem evaluations on decision-making insufficiently understood. This study integrates TAM with brand extension theory and the ecosystem-specific concept of "perceived value" to propose a model of usage intention. Specifically, we hypothesize that evaluations of the ecosystem may spill over to perceptions at the service level, thereby shaping user attitudes and behavioral intentions.

This study, at the conceptual stage, aims to clarify factors influencing the proportion of exploratory IT investment in Japanese firms, addressing the issue that the value-up ratio in IT budgets has long remained below desired levels. Based on existing research, the theoretical background is reviewed and organized, and hypotheses and an analytical model are developed. Factors influencing exploratory IT investment are considered from three perspectives: IT infrastructure capability, dependence on legacy systems, and external environmental changes. Future research will conduct empirical analysis to provide insights for increasing exploratory IT investment ratios in firms.

Feedback is believed to contribute to improving work performance and strengthening cooperative relationships within organizations. On the other hand, frequent feedback can increase the cognitive load on recipients and may have a negative impact on task performance and motivation. This suggests that the effects of feedback may have a dynamic nature, shifting from positive to negative over time. This study aims to clarify the temporal process by which the initial positive effects of feedback in organizations turn into negative effects and then recover, and to present the structure of this process in a process diagram.

In this session, the members of the "99% Economy" translation project will introduce The 99 Percent Economy by Adler (2019) and will critically examine Japanese critical management studies and further discuss the future of Japan's economy and society. In accordance with the structure of the book, the first report will introduce "Introduction: The Argument", the second report will introduce "Chapter 1: Six Crises", "Chapter 2: The Root Cause" and "Chapter 3: A Growing Tension", the third report will introduce "Chapter 4: The Promise and Limits of Reform" and "Chapter 5: Managing Economy, Democratically and Effectively", and the fourth report will introduce "Chapter 6: Democratic-Socialist Society" and "Chapter 7: Getting There". After that, all participants will discuss the issues and proposals.

This study aims to visualize the workload of front-yard operations in Ube City, Yamaguchi Prefecture, using operational log data and quantitative analysis. Aggregated data from the city hall's reception ticketing system were analyzed based on service volume and handling time, focusing on services with high total handling time. Services were categorized into three types: (A) data output, (B) data update, and (C) consultation-based with additional procedures. The analysis suggests the need for tailored improvement strategies based on service characteristics. For services impacted by visitor congestion and individualized responses, implementing non-face-to-face channels, pre-registration, and appointment systems is expected to reduce workload. These findings offer a foundation for redesigning front-yard operations and developing key performance indicators (KPIs) to support municipal service reform.

Administrative digital transformation (DX) should shift from efficiency to value creation. Past administrative efforts focused on KPIs (Key Performance Indicators) like reducing processing time and cutting costs. However, this alone doesn't lead to better resident services or solve social issues. Future administrative DX must use resources freed up by increased efficiency to reallocate them to services that improve resident convenience and solve social problems, thereby creating social value.

Abstract: This study explores how work–life balance (WLB) differences shape happiness among salespersons. Using survey data from large Japanese firms, salespersons were categorized into research-oriented (SR) and development-oriented (SD) types based on response patterns to WLB measures. Findings indicate that SR salespersons tend to experience higher levels of interdependent happiness than SD salespersons. This suggests that variations in workstyle meaningfully influence well-being of sales roles. From a practical perspective, fostering SR-type characteristics and strengthening support for SD employees may improve happiness, reduce turnover risks, and enhance overall sales organizational performance in sales settings.

The goal of this study is to clarify the strategic content and strategy formation process in the business evolution of a firm that received support from “Osaka Top Runner Project," a policy to promote innovation in SMEs and ventures by local government Osaka city. For this purpose, we focus on the “change of business system," “unique business system," and “addition of new business" in the process of business evolution.

Generative AI has seemingly been rapidly proliferating to businesses, governments, NPOs, etc., as well as individuals. However, the proliferation is not equally happening depending on countries, and Japan lags. We suspect that good models and/or frameworks, which guide conservative Japanese business managers to AI implementations, are missing. Hence, in this manuscript, we explore available models of AI implementations through AI. We show the results of our exercise, a discussion on our method and the results obtained, and the conclusions.

In response to the increasing demand for digital and specialized skills in local governments, this paper explores optimal personnel policies in the face of skill-related uncertainty. Drawing on Katz's framework of technical, human, and conceptual skills, we developed a dynamic model to allocate staff to either generalist or specialist roles. Early role assignments do not compromise the need for generalists. They can help sustain performance even when specialist requirements are unclear. These findings provide guidance for designing personnel strategies amid skill-related uncertainty and offer insights into the timing of role allocation in dynamic organizational environments.

Since Richard Thaler won the Nobel Prize in Economics in 2017, nudges have been attracting attention from governments and local authorities around the world. However, the effectiveness and acceptability of nudges vary depending on the country and culture. Currently, there are challenges in conducting empirical experiments to measure the effectiveness of implemented nudges due to constraints on costs and time. Therefore, the objectives are twofold: to create a nudge model that reflects social preferences such as reciprocity and conformity, and to conduct digital social experiments, with the aim of utilizing these findings not only in Japan but also globally for policy evaluation.

In regional cities facing population decline and ageing, urban hollowing-out and the burden of infra-structure maintenance are pressing issues. “Reverse zoning" that contracts urbanized areas is a promising strategy; however, in addition to legal and institutional constraints, it requires consensus-building among stakeholders, including landowners. Using open data, we constructed a 250-m grid priority index for urban contraction in Kitakyushu. Indicators such as population density and ageing rate were normalized and equally weighted, and visualization with Kepler.gl identified high-risk areas, 75% of which over-lapped existing Urbanization Control Areas, supporting the model's validity.

The social vision of "Society 5.0" is to create smart cities by using digital twins to integrate cyberspace and physical space.

Discussions on standardization are currently held prior to the development and implementation of digital twin technology in society. Smart cities are expected to advance and create new value in various fields.

This study aims to model local government policy formulation by leveraging the predictive governance benefits of digital twins. The study will systematically investigate, analyze, and examine current digital twin standardization trends.

In recent years, pets have come to be regarded as family members, and owners increasingly seek care tailored to each pet's personality and health condition. However, consulting experts involves psychological and financial burdens, and online information is often unreliable. This study proposes “Petalk," a chatbot system that stores pet information in Firebase and integrates with ChatGPT to generate context-aware responses. By embedding relevant data into prompts at each query, the system achieves both personalization and natural interaction. It addresses limitations of conventional chatbots, such as lack of memory and personalization, and offers flexible support for everyday concerns.

Kaishi Professional University has actively promoted Work-Integrated Learning (WIL) to provide students with hands-on experience in areas such as AI, IoT, robotics, and web development. Each year, approximately 60 internship summary posters are produced, showcasing student experiences. However, these posters are stored as static files, making it difficult for users to search based on interests or goals. To address this, we propose a context-aware AI guidance system using Retrieval-Augmented Generation (RAG) and AWS S3. A key feature of this system is the combination of our own curated poster dataset as a knowledge source with dynamic AI suggestions, which transforms past poster data into an interactive chatbot experience. This enables personalized, semantic search-driven support to help students find internships aligned with their skills and preferences.

This study analyzed the impact of participation in environmental initiatives on productivity among Japanese manufacturing companies. Considering the possibility that corporate performance and size may influence participation in initiatives, we conducted propensity score matching (PSM) and then performed a two-step analysis using the Malmquist productivity index and a fixed effects model. The results of the analysis suggest that participation in RE100 and SBTi significantly boosts technological change, a component of productivity, and promotes a shift in the production possibility frontier.

This study proposes a low-cost, portable motion capture system using ESP32-C and BNO055 sensors for elbow motion analysis. Multiple IMUs were attached, and 3D acceleration, angular velocity, and gravity vectors were recorded at 10 Hz. From gravity vector angles, range of motion (ROM), repetitions, mean angular velocity, cadence, and variability were computed to quantify asymmetry. Results showed ROM of 103.17° (left) and 94.01° (right), mean angular velocity of 50.81°/s (left) and 54.64°/s (right), and cadence of 29.76 vs. 25.11 bpm, indicating measurable differences. This method allows flexible raw data acquisition and localized joint analysis compared with mocopi or Xsens, and is considered useful for patient comparison and rehabilitation assessment.

In recent years, the number of agricultural workers has been declining, and there is a growing need for efficient management practices such as data-driven management. In pig farming, it is clear that heat stress worsens reproductive performance, but the extent to which it causes operational loss risks in farm management remains unclear. This study aimed to quantitatively analyze the impact of rising THI on the reproductive performance of sows and evaluate the operational loss risk that such changes pose to farm profitability. The analysis revealed that losses began to increase when THI reached around 65, with a peak between 73 and 76. This study provided practical insights that can inform decision-making regarding heat stress countermeasures on-site.

This study quantitatively evaluated the economic impact of the weaning-to-mating interval (WMI) on pig farm profitability using net present value (NPV) based on actual production data. The analysis was conducted in two parts: (1) comparison of parity-average NPV among three groups classified by average WMI, and (2) multiple regression analysis with lifetime NPV as the dependent variable and average WMI plus reproductive indicators as explanatory variables. Results indicated that groups with longer WMI had significantly lower parity-average NPV, and that the negative economic effect of a one-day increase in WMI grew as parity advanced. While limited by assumptions on price, discount rate, and cost allocation, as well as data from a single farm, future research should address external validity by considering season, nutrition, and heat stress.

This study clarifies the specific characteristics of small business owners regarding three factors related to digital transformation (DX): perceived importance of necessary actions, implementation barriers, and current stage of DX promotion. Using the concept of the “Umwelt of digitalization," we visualized and compared individual differences in perceptions of DX. We plotted the three factors obtained from our survey on a three-dimensional graph and generated an approximation surface to represent the typical progress of DX, suggesting that progression tends to proceed along this surface. The results indicate that lowering implementation barriers is not always necessary, thereby implying a new approach to advancing DX.