Shimizu, Takumi

写真a

Affiliation

Faculty of Policy Management ( Shonan Fujisawa )

Position

Associate Professor

Related Websites

External Links
Scopus Paper Info  
Paper Count: 13 Citation Count: 30 h-index: 4

Click to view the Scopus page. The data was downloaded from Scopus API in March 15, 2026, via http://api.elsevier.com and http://www.scopus.com .

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Academic Background 【 Display / hide 】

  • 2003
    -
    2007

    Keio University, Faculty of Policy Management

    University, Graduated

  • 2010
    -
    2012

    Keio University, Graduate School of Media and Governance

    Graduate School, Completed, Master's course

  • 2014
    -
    2019

    McGill University, Desautels Faculty of Management

    Graduate School, Completed, Doctoral course

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Books 【 Display / hide 】

  • 企業価値に連動する 人的資本経営戦略

    清水たくみ, 中央経済社, 2024.07,  Page： 232

    Scope: 第11章: 新しい働き方（ハイブリッドワーク）と人的資本経営

  • 社会イノベーションの方法と実践（シリーズ 総合政策学をひらく）

    清水たくみ, 慶應義塾大学出版会, 2023,  Page： 280

    Scope: 第2章 テクノロジーを基盤とした新しい働き方・協働・デジタル組織

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Papers 【 Display / hide 】

  • Drivers of Data Use in Co-creation Platforms: Evidence from User Behavior on Kaggle

    SHIMIZU Takumi, SASHIHARA Jun, HARUKI Yuka, HAYASHI Teruaki

    JSAI Technical Report, Type 2 SIG (The Japanese Society for Artificial Intelligence)  2025 ( DC-001 ) 05 2025.12

    　View Summary

    <p>Distributed data use that links datasets across fields and organizations has drawn attention as a source of innovation. However, evidence remains limited regarding which factors promote such data use on co-creation platforms. Using large-scale archival data from Kaggle, one of the world's largest data analysis platforms, this study employs multiple regression analysis to examine how data characteristics and data owner characteristics affect the degree of data use. The results show that peer evaluations (upvotes) and explicit owner rankings are positively associated with both data viewing and downstream use. These findings offer practical implications for the governance of data platforms and for designing policies that effectively foster data use.</p>

  • Attentional Uniqueness and Firm Performance: The Mediating Role of Growth Actions

    Takumi Shimizu, Susumu Nagayama, Junichi Yamanoi

    Journal of Management Studies (Wiley)  62 ( 4 ) 1680 - 1716 2025

    Accepted,  ISSN  0022-2380

    　View Summary

    Abstract

    The attention‐based view posits that a firm's allocation of attention to particular issues directly influences its actions and performance. Yet, the impact of attentional uniqueness – how the pattern of a firm's attentional allocation diverges from its competitors within the same industry – on behaviour and performance remains underexplored. We argue for an inverted U‐shaped relationship between attentional uniqueness and firm performance, mediated by the frequency of growth actions. This is because a firm's attentional allocation shapes its reaction to problems, opportunities, and threats in the competitive landscape, resulting in its competitive advantage. To generate growth actions, a firm needs to have both a unique perspective and a general understanding of its industry. Furthermore, we propose that this relationship is contingent on environmental munificence, which reflects the presence of growth opportunities. Our analysis, leveraging structural topic modelling on annual security reports from 986 Japanese listed companies between 2004 and 2016, broadly supports these theoretical predictions.

  • The impact of legislation on online toxic content

    MC Carson, D Charoen, W Khern-am-nuai, T Shimizu

    Digital Policy, Regulation and Governance, 1-17    1 - 17 2025

    ISSN  23985038

    　View Summary

    Purpose – This study aims to evaluate the impact of Japan’s 2022 online hate speech law on toxic content on digital platforms. Specifically, this work investigates whether the legislation led to a measurable change in the prevalence and intensity of toxic online content on Twitter and 5ch. This research seeks to contribute to broader discussions on digital governance, policy deterrence and content moderation in the context of rising global concern over online hate speech. Design/methodology/approach – A natural experiment methodology was used, leveraging a large-scale dataset of over 16 million tweets and 100, 000 posts from the anonymous forum 5ch. The analysis used Google’s Perspective API to quantify the toxicity of user-generated content before and after the enactment of the law. Comparative analysis was conducted across platforms and user types, focusing on changes in toxic volume and intensity. Findings – Contrary to the legislation’s goals, there was no statistically significant reduction in toxic content. On Twitter, both the frequency and severity of toxicity increased post-law, especially among repeat offenders. Meanwhile, 5ch displayed no notable change in toxic behavior. These findings suggest that the law does not deter the production of toxic content and may have had unintended consequences on certain user behaviors. Originality/value – This study offers one of the first empirical assessments of Japan’s 2022 hate speech law using behavioral data from major platforms. It challenges classical deterrence theory and provides novel insights into the limitations of blanket legal measures. This research underscores the need for context-aware, adaptive policy frameworks that reflect platform-specific dynamics and user behaviors in digital environments.

  • Revised online hate speech law in Japan and early evidence of its effectiveness

    P Tangwaragorn, T Shimizu, W Khern-am-nuai

    International Journal of Sociology and Social Policy, 1-16    1 - 16 2025

    ISSN  0144333X

    　View Summary

    Purpose – The rise of online hate speech around the world in recent years has prompted many nations to reassess their laws and consider harsher penalties for offenders to deter such harmful behavior and foster a more positive online environment. This study aims to investigate the effectiveness of such legislation in Japan, where a revised law was enacted in June 2022, significantly increasing fines and introducing potential jail time for online insults. Design/methodology/approach – Our study employs a mixed-methods approach, combining an observational analysis of Japanese Twitter data with a survey of Japanese undergraduate students. Findings – We find that this stricter law has had a minimal impact on the behavior of Twitter users. Specifically, the toxicity level of Japanese tweets has not shown substantial changes since the law’s implementation. Meanwhile, our survey finds that the majority of survey participants are not aware of the legislation change. Additionally, survey participants significantly underestimate the penalties for offenders and are not particularly confident that offenders will be arrested. These findings underscore the critical role of public awareness in effectively deterring undesirable online conduct through legislation. Originality/value – Our work is among the first empirical studies to evaluate the real-world impact of online hate speech legislation in Japan. It emphasizes that stricter law alone is insufficient to influence behavior without public awareness and trust in enforcement.

  • Designing Data Ecosystem for Digital Society

    Yoshiaki Fukami, Takumi Shimizu

    Journal of the Japanese Society for Artificial Intelligence (The Japanese Society for Artificial Intelligence)  37 ( 5 ) 575 - 581 2022

    ISSN  21882266

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Reviews, Commentaries, etc. 【 Display / hide 】

  • 「書くこと」を生業にするということ

    清水たくみ

    一橋ビジネスレビュー 69 ( 4 ) 97 - 97 2022.03

  • Best Paper Award Report: Who Becomes a High Performing Leader in Knowledge Sharing Online Communities?

    Takumi Shimizu

    Journal of the Japan Society for Management Information 29 ( 1 ) 63 - 65 2020.06

    Other, Single Work

  • Ph.D. life at McGill University in Canada

    Takumi Shimizu

    Organizational Science 53 ( 1 ) 82 - 83 2019.09

    Other, Single Work

  • Developing Research Capabilities through International Conferences

    Takumi Shimizu

    Journal of the Japan Society for Management Information 27 ( 2 ) 155 - 156 2018.09

    Other, Single Work

  • Research Life in Montreal, Canada

    Takumi Shimizu

    Journal of the Japan Society for Management Information 27 ( 1 ) 118 - 119 2018.06

    Other, Single Work

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Presentations 【 Display / hide 】

  • Generative AI Use in Listed Firms at Tokyo Stock Exchange

    Takumi Shimizu, Masaaki Hirano

    Japan Society for Management Information 2024 Research Presentation Conference, 

    2025.01
    , 

    THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)

    　View Summary

    <p>This study conducted an original survey targeting companies listed on the Tokyo Stock Exchange (TSE) in response to the growing importance of generative AI as a key management issue for Japanese businesses. Responses were received from 273 firms, representing 7.1% of all TSE-listed firms, and the relationship between the utilization of generative AI and the development of digital culture within organizations was analyzed. The overall use of generative AI was found to be limited, with particular delays in areas such as customization and performance measurement. A correlation between the use of generative AI and organizational digital culture was observed, suggesting the potential for further analysis in future research.</p>

  • Revisiting Digital Cultural Capital

    Masaaki Hirano, Takumi Shimizu

    Japan Society for Management Information 2023 Research Presentation Conference, 

    2024.01
    , 

    THE JAPAN SOCIETY FOR MANAGEMENT INFORMATION (JASMIN)

    　View Summary

    <p>With the ongoing transformation of business and society by digital technology, including breakthroughs in AI, there is an urgent need to study its organisational and managerial implications. Focusing on the concept of "digital cultural capital," we have studied the relationship between IT investment, digital cultural capital, and firm performance in Japanese firms. In this paper, we examine the approach to organizing the concept of digital cultural capital and applying it to management information systems research, drawing on the work of Pierre Bourdieu, who conceived the concept of "cultural capital," and the work of Ollier-Malaterre et al. who extended cultural capital to "digital cultural capital." By revisiting the concept of digital cultural capital, we aim to provide a foundation for organisational research in the digital age.</p>

  • The Impact of Decentralized Identity Architecture on Data Exchange

    Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima

    [Domestic presentation]  4th International Workshop on Cross-disciplinary Data Exchange and Collaboration, IEEE International Conference on Big Data 2021, 

    2021.12
    , 

    Other

  • Glowing Process of Communities on Data Platforms: Case Analysis of a COVID-19 Dataset

    Teruaki Hayashi, Takumi Shimizu, Yoshiaki Fukami, Hiroki Sakaji, Hiroyasu Matsushima

    [Domestic presentation]  4th International Workshop on Cross-disciplinary Data Exchange and Collaboration, IEEE International Conference on Big Data 2021, 

    2021.12
    , 

    Other

  • Retrieving of Data Similarity using Metadata on a Data Analysis Competition Platform

    Hiroki Sakaji, Teruaki Hayashi, Yoshiaki Fukami, Takumi Shimizu, Hiroyasu Matsushima, Kiyoshi Izumi

    [Domestic presentation]  4th International Workshop on Cross-disciplinary Data Exchange and Collaboration, IEEE International Conference on Big Data 2021, 

    2021.12
    , 

    Other

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 人的資本の組織的活用とデジタル組織文化

    2025.04
    -
    2029.03

    日本学術振興会, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), Principal investigator

    　View Summary

    経済・企業成長の核であるイノベーションを促進する組織的な要因の一つとして、人的資本の重要性がかつてなく高まっている。先行研究では、人的資本と企業業績や従業員成果の正の関係性については合意が形成されつつある一方、どのような特性を持つ組織が人的資本経営を成果に結びつけているかについては統一的な見解が得られていない。そこで本研究では組織のデジタル文化に着目し、人的資本経営成否を左右するデジタル時代の組織要因を明らかにする。大規模サーベイ調査のパネルデータ分析を用い、組織のデジタル文化が人的資本経営成否に与える影響を定量的に評価する

  • Investigation and Empirical Validation of the Value Creation Mechanisms of Data Ecosystems Driven by Competition and Co-Creation

    2025
    -
    2029

    日本学術振興会, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (B), No Setting

    　View Summary

    近年、異なる組織間のデータ協創が価値を創出してきている。しかし、データ流通による協創は新たなビジネス機会となる一方で、コモディティ化によって差別化が困難となったり、競合相手を利するリスクも高まってしまう。データ流通における協創と競争の両立は、来たるデータ流通社会において喫緊の課題である。本研究では、異なる組織間でデータを流通するプラットフォームにおける“競争”と“協創”の創発的作用を解き明かす。そして、データ固有の特徴を考慮したマルチエージェントシミュレーションによって、データによる価値創造メカニズムの解明とマクロ指標の創出によって、来たるデータ流通社会における環境整備のエビデンスを示す。

  • 企業の組織特性とAI対応戦略が経営成果に及ぼす影響に関する研究

    2025
    -
    2028

    日本学術振興会, Grants-in-Aid for Scientific Research, Grant-in-Aid for Scientific Research (C), No Setting

    　View Summary

    本研究は著しく進歩するAIの状況を受けて、以下の問いを明らかにすることを目指す。
    ① ユーザ企業の合理的なAI対応とはどのようなものか？（AI対処戦略の理論研究）
    ② ユーザ企業はどのような組織特性を持ち、実際にどうAIに対応しているか？ その経営成果は？（AI対処戦略の実証研究）
    ③ ①と②の間に乖離がある場合、それはなぜか？（AI対処戦略の包括的研究）
    本研究では、研究代表者及び分担者のこれまでの研究経験（組織特性・ IT投資・経営成果に関するによる実証研究）を基に、日本企業のAI対応戦略に対する新しい研究枠組みを提案する。理論研究と実証研究を組み合わせて、世界をリードする研究を目指す。

  • IT投資と経営成果との関係に組織能力とディジタル文化資本とが与える影響の動学

    2021.04
    -
    2024.03

    Waseda University, Grant-in-Aid for Scientific Research (C), No Setting

    　View Summary

    本研究はIT投資の効果の認識が比較的容易である企業部門に着目し、我が国におけるIT投資・組織特性・経営成果間の関係を総合的・実証的に究明することを目的とする。申請者による今までのIT投資・組織特性・経営成果間の関係についての実証研究の蓄積と最近の組織研究の動向を基に、組織特性を「制度に代表されるハードな要因(組織能力)」と「組織文化・組織風土に代表されるソフトな要因(デジタル文化資本)」とに分離する枠組みを用いる。財務に関わる企業個票と独自の組織特性アンケートを組み合わせて良質の大規模データセットを構築し、IT投資と経営成果との関係に組織特性が及ぼす影響ついての理論的・実証的研究を実施する。

  • System Design and Dynamics of Data Exchange Market

    2020.04
    -
    2024.03

    The University of Tokyo, Grant-in-Aid for Scientific Research (B), No Setting

    　View Summary

    異分野のデータを交換・取引するデータ流通市場が次世代イノベーションの源泉として注目される一方、規制に関する議論は未だ決着がついておらず、世界的に市場への参入は慎重である。データ・法規制・ヒトの動的な相互作用の解明とそれに基づくルール作りは喫緊の課題である。
    本研究は頑健・安全なデータ流通市場の自律的成長に寄与する要素の創発的作用を解き明かす。そして、データ流通市場の成長段階における制度設計及びその妥当性を評価する。また、データ固有の特徴（複製性、流通性、共有条件、プライバシー）、制度の創発的作用をマルチエージェントシミュレーションにより明らかにし、データ流通市場整備のためのエビデンスを示す。

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Awards 【 Display / hide 】

  • Excellent Exploratory Research Award

    Ai Kawamoto, Ippei Kono, Ibuki Ohira, Takumi Shimizu, 2025, Japan Society for Management Information, Building sustained trust in a virtual team

  • SFC FACULTY AWARD 2021

    2022, Keio University, Shonan Fujisawa Campus

  • Teaching Award

    2020, Waseda Business School

  • Best Published Paper Award in 2018

    Takumi Shimizu, 2019, The Japan Society for Management Information

  • Presidential Teaching Award

    Takumi Shimizu, 2019, Waseda University

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Courses Taught 【 Display / hide 】

  • ACADEMIC PROJECT(NETWORK COMMUNITIES1)

    2025

  • TOTAL DESIGN OF PRIVATE AND PUBLIC PROFITS

    2025

  • SEMINAR A

    2025

  • ORGANIZATIONS FOR RESEARCH AND DEVELOPMENT

    2025

  • ORGANIZATIONAL STRATEGY(MACRO)

    2025

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Courses Previously Taught 【 Display / hide 】

  • Research Design and Empirical Methods in Management and Organization

    Keio University

    2026
    -
    Present

  • Leadership in Practice

    Keio University

    2025
    -
    Present

  • Management Innovation in IT Business

    Keio University

    2025

  • Organizational Strategy in the Digital Age

    National Chengchi University

    2025

  • Leadership

    Keio University

    2021
    -
    Present

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Committee Experiences 【 Display / hide 】

  • 2025
    -
    Present

    Steering Committee Member, Special Interest Group on Data Collaboration, The Japanese Society for Artificial Intelligence

  • 2024
    -
    Present

    Committee Member, Health and Culture Forest District Community Development Guideline Review Council, Fujisawa City

  • 2024
    -
    Present

    Chairman, Health and Culture Forest District Industry-Academia-Public Collaboration Council, Fujisawa City

  • 2023
    -
    2025

    Editor-in-Chief, Journal of the Japan Society for Management Information

  • 2023
    -
    2025

    Director, Japan Society for Management Information

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