研究者詳細 - 高橋　大志

論文 - 高橋　大志

分割表示 283 件中 1 - 20 件目／全件表示 >>

Interdependencies of female board member appointments

Matthias Raddant, Hiroshi Takahashi

International Review of Financial Analysis （ELSEVIER） 81 2022年05月

研究論文（学術雑誌）, 共著, 最終著者, 査読有り

Corporate boards, interorganizational ties and profitability: the case of Japan

Raddant Matthias, Takahashi Hiroshi

EMPIRICAL ECONOMICS （Empirical Economics） 62 （ 3 ） 1365 - 1406 2021年05月

研究論文（学術雑誌）, 共著, 査読有り, ISSN 0377-7332

We analyze the ties between 4000 Japanese corporations in the time period from 2004 until 2013. We combine data about the board composition with ownership relationships and indicators of corporate profitability. The board network exhibits some clustering, which can partly be explained by ownership relations, and a tendency to form ties to other corporations from the same sector. Connectivity in the board network (corporate board interlocks) and ownership network (shareholdings) does have an influence profitability. Firms that are linked to peers with above average profitability are more profitable than firms in other relationships. Hence, network effects partly explain why board interlocks and ownership ties are not always beneficial.

Access to Document (DOI)

Impact of financing method on J-REIT unit price around seasoned equity offerings: Dilution and borrowing ratio effects on abnormal returns

Ota A., Takahashi H.

Pacific Basin Finance Journal 91 2025年06月

ISSN 0927538X

This study attempts to identify the determinants of changes in real estate investment trust (REIT) unit prices at the time of seasoned equity offering (SEO) in the Japanese financial market. As Japanese REIT (J-REIT) announces SEOs, dividends, and borrowings at the same time, this analysis can consider each factor simultaneously. This study uses the event study method to conduct an ordinary least squares multivariate regression analysis (regression analysis) of the average cumulative abnormal return for 11 days during SEOs in J-REIT. We add the change in a borrowing ratio before and after an SEO and the dilution ratio of investment units from the perspective of the financing method as new candidate factors not used in previous studies. The sample period is from 2013 to 2017, and the number of the analyzed SEOs is 150. This study simultaneously analyzes the impact of the changes in dividends, the changes in borrowing ratios, and the dilution ratios on J-REIT unit prices at the time of SEOs and clarifies each impact. This study showed that investors were aware of the importance of the dilution impact from the perspective of net asset value as well as the dividend as profitability. Unlike previous studies, we also showed that the increase in the borrowing ratio negatively affected the unit price.

Access to Document (DOI)

フレイル予防におけるAI支援アプローチ: 感情分析を基盤としたプロンプト設計の提案

樋口暁世, 村上英治, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2025 （ BI-026 ） 34 2025年03月

2060年、日本では高齢化率が39.9%およそ2.5人に1人が後期高齢者（65歳以上）となる。本研究では、健康寿命の延伸に向けてフレイル予防のプロンプト構築と自然言語処理技術（NLP）を活用したプロンプト評価を行った。とくにフレイル予防や健康支援の分野では、EBMに加えユーザーに個別化されたアプローチが効果的である。本分析では、複数の大規模言語モデル（LLM）による比較を行うことでモデルの特徴と課題を確認した。

道路ネットワーク分析を通じたBCP策定のための指標構築：フィリピン複数都市における比較

八木真理奈, 村上英治, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2025 （ BI-026 ） 05 2025年03月

近年，防災・減災の重要性の高まりとともに，企業経営においても災害レジリエンスを強化するための定量的なBCP（事業継続計画）策定が求められている．本研究では，フィリピンの複数都市を対象に，道路ネットワーク分析を用いて災害時の道路寸断がLPガスの復旧点検時間に及ぼす影響を評価し，定量的な指標を構築する．これにより，各都市の地理的特性に応じた実効性のあるBCP立案を可能にし，LPG事業者のレジリエンス強化の支援，ならびに災害に強い地域づくりに貢献することを目指す．

Analysis of Extracting Corporate Trends from News Data Using BERTopic

Okazaki H., Takahashi H.

New Generation Computing 43 （ 1 ） 2025年02月

ISSN 02883635

News is an immediate source of information. However, it is difficult to obtain information on the trends in each business unit of a company from individual news items. This study attempts to obtain information on each business unit of a company through news analysis using BERTopic by targeting multiple companies that hold similar business domains. The validity of the analysis results was verified by comparing the news analysis results with the securities reports published by the companies. As a result of the analysis, we found that (1) it is possible to follow the trends of each specific business unit in a company through news data analysis, and (2) news data contains timely information on corporate trends and product strategies, compared to securities reports. This research presents a novel analytical approach utilizing natural language processing techniques within the finance sector, highlighting a study with substantial potential for future advancements.

Access to Document (DOI)

UAV・車両ハイブリッド配送システムにおける異質な時間感度と経済効率性

Woo Sejun, 八木真理奈, 樋口暁世, 辛郷孝, 高橋大志

経営情報学会　全国研究発表大会要旨集（一般社団法人経営情報学会） 202411 （ 0 ） 110 - 113 2025年01月

フレイル予防を目指したプロンプトの構築：会話の継続性に焦点を当てた分析

樋口暁世, 村上英治, 高橋大志

経営情報学会　全国研究発表大会要旨集（一般社団法人経営情報学会） 202411 （ 0 ） 178 - 180 2025年01月

本研究では、会話の継続性に焦点を当てて、大規模言語モデルを取り込んだフレイル予防の方法を検討する。フレイルをもつ高齢者は要支援・要介護になるリスクが約 2 倍になると知られている。個人の人生の質を左右するフレイルに対して予防的に取り組む重要性は高い。本分析では大規模言語モデル(LLM)を活用し、複数のプロンプトから実現可能性と課題を確認した。

防災都市づくりを目指したLPガス復旧活動への影響評価：横浜市港北区を対象とした基礎分析

八木真理奈, 村上英治, 高橋大志

経営情報学会　全国研究発表大会要旨集（一般社団法人経営情報学会） 202411 （ 0 ） 208 - 210 2025年01月

本研究は，災害時のLPガス復旧活動の効率化を目的とした道路寸断シミュレーションを実施したものである．本分析では，横浜市港北区を対象に寸断率と到達時間の関連性を分析した．分析の結果，本条件では，寸断率が一定の閾値を超えた場合，到達時間が飽和する傾向にあるとの結果を得た．本分析は初期段階のものであるが，今後詳細の分析を進め，将来的に防災力強化と事業継続計画の策定に役立つ知見を提供することを目指す．

大規模言語モデルおよび定量的ペルソナ作成手法による顧客ストーリーの生成

菊地剛正, 高橋大志

人間中心設計（特定非営利活動法人人間中心設計推進機構） 20 （ 2 ） 25 - 34 2024年09月

ISSN 18829635

Targeting customers in the asset formation domain necessitates analysis that considers both current customer attributes and future attribute changes. The authors have proposed a simulation-based quantitative persona creation method, but it is limited to establishing persona skeletons, and creating customer stories with additional narratives remains a challenge. Our previous method involves a cross comparison of several skeletons based on a combination of current customer attributes, the possibility of future attribute changes, and the assumed effects of measures, and thus there are limitations to conventional manual story creation. To address this, our study proposes a methodology to generate customer stories based on skeletons mechanically and semi-automatically, using a large language model. The main findings of this research are as follows: our methodology could 1) generate a set of stories with a certain level of consistency in terms of structure, 2) write stories according to the attributes of each skeleton, 3) generate logically coherent stories, incorporating future attribute changes, and 4) provide suggestions to foster awareness among stakeholders involved in the final phase of persona creation. The proposed method is applicable not only to persona creation but also to lifecycle management, such as version upgrades, and is expected to find industrial applications.

大規模言語モデル(LLM)を活用したフレイル予防に関するプロンプトの検討

樋口暁世, 村上英治, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-025 ） 08 2024年09月

This study uses a large-scale language model to examine methods for preventing frailty. In Japan, one out of every 2.5 persons will be 65 or older in the first half of life in 2060. Compared to healthy elderly, frail elderly people are at about twice the risk of needing assistance or nursing care. This study examines prompts to prevent frailty, improve quality of life, and realize a sustainable society. Utilizing a large-scale language model, we confirmed the feasibility of several prompts and the challenges.

ABM によるコミュニティベースのガス料金プラン導入の検討

禹世俊, 村上英治, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-025 ） 06 2024年09月

This study examines the effectiveness of a community-based gas pricing plan. The community- based pricing system determines rates based on the overall usage within a community, making cooperation among community members a crucial element. Through agent-based modeling, this research investigates the potential for energy consumption reduction under a community-based gas pricing system. The paper specifically explores the effectiveness of this approach when there is a high degree of similarity in attributes within the community.

新興国の医療品調達に関するニュースが企業の市場評価に与える影響

八木真理奈, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-025 ） 03 2024年09月

In Bottom of the Pyramid (BOP) business, the supply of pharmaceuticals is a critical issue. This study analyzes the impact of news articles on market evaluations of companies facing pharmaceutical supply shortages or logistics delays in emerging markets. By examining these factors, the research aims to clarify the market's response to BOP business challenges and contribute to the improvement of corporate management strategies, while providing insights for investor decision-making. The findings of this research are expected to enhance understanding of sustainable corporate management and foster the development of new markets in emerging economies.

住宅間取り図における感性評価の特徴に関する研究 -AI モデルの開発に向けて-

廣井駿, 高橋大志, 太田明

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-025 ） 02 2024年09月

The study acquires sensory evaluations of property floor plans as a form of tacit knowledge of experts and examines the impact of these evaluations on the price of condominium unit (Unit). The floor plans of Units are evaluated by the expert sensory with their ease of use and efficiency, but it has not been quantified to date. This study targets the floor plan images of the second-hand Units for sale, and these sensory evaluations acquired from experts. The multiple regression analysis for the Unit price is conducted by adding the sensory evaluation of the floor plan to the candidate factor variables such as building age and total exclusive area. The result of the multiple regression analysis indicates that the sensory evaluation of the floor plan was selected with the statistically significant level in the model. Therefore, it was suggested that the sensory evaluation of the floor plan has a certain impact on the Unit price.

コサイン類似度を用いた CEO メッセージの時系列分析-大手不動産デベロッパーを対象として-

佐藤直哉, 高橋大志, 太田明

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-025 ） 04 2024年09月

In recent years, information issued by companies has become more diversified, increasing corporate transparency to stakeholders. Especially, in CEO messages, which are a source of information indicating a company's future vision, changes over time are likely to emerge. Therefore, we collect CEO messages for each year as text data, vectorize them using natural language processing techniques, and then calculate the cosine similarity between messages for each year. Cosine similarity is a quantitative measure of similarity between documents by calculating the cosine of the angle between two vectors. Using this method, we quantitatively evaluate the similarities and differences between the CEO messages of each company for each year to identify trends in the real estate industry and the differences and characteristics of each company. As a result, it was observed that when social conditions undergo significant changes, the CEOs work to further promote the traditional businesses held by the companies by adapting the direction of the companies to the social conditions.

Opportunities for a Simulation-Based Quantitative Persona Creation Method: Implications from Practitioner Interviews

Takamasa Kikuchi, Hiroshi Takahashi

Proceedings of the International Multi-Conference on Society, Cybernetics and Informatics （International Institute of Informatics and Cybernetics） 80 - 85 2024年09月

ISSN 2831-722X

Access to Document (DOI)

Can a Large Language Model Generate Plausible Business Cases from Agent-Based Simulation Results?

Takamasa Kikuchi, Yuji Tanaka, Masaaki Kunigami, Hiroshi Takahashi, Takao Terano

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing （Springer Nature Switzerland） 147 - 162 2024年05月

ISSN 1860-949X

Access to Document (DOI)

エージェントベースモデルを用いた日本における次世代自動車普及がガソリン需要に与える影響及びその変化による配送システムの検討

渡邊恵美子, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-024 ） 21 2024年03月

This research focuses on the decline in demand due to the spread of next-generation EV and hybrid vehicles, uses an agent-based model to predict gasoline demand, and predicts demand for a delivery model in which gasoline is delivered from a refinery or oil depot to a gas station by tank truck. We conducted a search for efficient delivery methods by reflecting the prediction results. The following results were obtained. Although oil depots have the function of reducing the number of tank trucks needed, using oil depots tends to increase delivery costs. If future gasoline demand decreases, the number of tanker trucks needed will also decrease. This is expected to reduce the need for the depot's ability to reduce the number of tanker trucks needed, making closure more economically advantageous.

スペース・シンタックス指標を用いた不動産のキャップレート要因分析に関する研究

豊由直輝, 高橋大志, 兼田敏之, 太田明

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-024 ） 13 2024年03月

自然言語処理技術および大規模言語モデルを用いた従業員の労働環境分析

神山直也, 高橋大志

人工知能学会第二種研究会資料（一般社団法人人工知能学会） 2024 （ BI-024 ） 16 2024年03月

This study aimed to understand how employees feel about their work environment and the factors influencing those feelings, by analyzing reviews on job-switching websites. The data extracted using advanced natural language processing (BERT) revealed common factors affecting employee satisfaction, including workplace environment, career development, business growth, interpersonal relationships, and evaluation and rewards. Furthermore, by utilizing large language models to generate employee personas, the study identified specific challenges and motivations, suggesting the potential to infer employee characteristics and provide valuable insights for decision-making.

　前のページ - 次のページ　

高橋 大志

論文 - 高橋 大志

高橋　大志

論文 - 高橋　大志