Tsuyoshi Yoshioka
| Faculty of Humanities and Social Sciences,Department of Business,Management Information Course | Professor |
| Graduate School of Information Sciences,Major of Information Sciences | Professor |
Last Updated :2025/10/07
■Researcher basic information
Field Of Study
■Career
Career
- 2025 - Present
Teikyo Heisei University, Professor - 2015 - Present
Waseda University, Adjunct Researcher - 2022 - 2025
Teikyo Heisei University, Associate Professor - 2018 - 2022
Teikyo Heisei University, Lecturer - 2016 - 2018
Teikyo Heisei University, Assistant Professor - 2013 - 2014
Japan Synchrotron Radiation Research Institute, Researcher - 2013 - 2013
Waseda University, Assistant Professor - 2010 - 2013
Waseda University, Research Assistant
Educational Background
■Research activity information
Award
- Mar. 2025
Japan Association for Business Administration, Academic Achievement Award
YOSHIOKA Tsuyoshi - Nov. 2024
Business Management Society of Japan, Academic Achievement Award
YOSHIOKA Tsuyoshi - Sep. 2019
All Japan Federation of Management Organizations, Awarding, Hyosho hai
YOSHIOA Tsuyoshi - Apr. 2017
The Union of Business Management Assosiations in Japan, Award of the Union of Business Management Assosiations in Japan
YOSHIOKA Tsuyoshi - Mar. 2017
Teikyo University Group, Okinaga Shoichi Academic Culture Encouragement Award
YOSHIOKA Tsuyoshi - Nov. 2016
International Conference on Mathematical Modeling and Applications 2016, Incentive Award for Poster Presentation
YOSHIOKA Tsuyoshi - Dec. 2011
21st Materials Research Society of Japan Academic Symposium, Award for Encouragement
YOSHIOKA Tsuyoshi
Paper
- Sustainable data-driven framework and policy recommendations for enhancing sports promotion using generative and explainable artificial intelligence
YOSHIOKA Tsuyoshi; MORIKURA Yusuke; IZUMI Toshiro; WADA Tadashi
Journal of Physical Education and Sports, 31 Mar. 2025, [Reviewed] - Artificial Intelligence Decision Support Framework Integrating Explainable AI, Fairness, and Optimization Technologies
YOSHIOKA Tsuyoshi
Business Management Studies, Mar. 2025, [Reviewed] - Proposal to Integrate Data Science into Management Accounting Using Generative AI
YOSHIOKA Tsuyoshi; ISHII Hiromune
Journal of Management Science, Feb. 2025, [Reviewed] - The Influence of Strategic Swimming Pool Facility Placement on Swimming Performance
IZUMI Toshiro; HYODO Hiroki; YOSHIOKA Tsuyoshi; WADA Tadashi
Journal of Physical Education and Sport, Jul. 2023, [Reviewed] - Analysis of the Breakdown of Consumption Expenditures Using Cluster Analysis
YOSHIOKA Tsuyoshi; NAKAMOTO Daisuke
Business Management Studies, Mar. 2023, [Reviewed] - Using Machine Learning to Identify Industries with a Relatively High Probability of Having Unrecorded Intangible Fixed Assets
Journal of Management Science, Feb. 2023, [Reviewed] - A Method to Extract Companies Likely to Have Intangible Assets That Are Not Recorded on Their Balance Sheets
YOSHIOKA Tsuyoshi
Journal of Management Science, Feb. 2022, [Reviewed] - Analysis of Questionnaire Surveys Conducted in Higher Education Institutions from the Perspective of the Institutional Research for Teaching and Learning
YOSHIOKA Tsuyoshi; MORIKURA Yusuke; KOBAYASHI Ryo; TERUYA Kensaku; IZUMI Toshiro
Journal of Management Practices, Humanities and Social Sciences, Jul. 2021, [Reviewed] - Classification of Players by the Payoff Function of a Generalized Normal-Form Game
YOSHIOA Tsuyoshi
Business Management Studies, Mar. 2021, [Reviewed] - Evaluation of Intangible Assets Using Regression Analysis
YOSHIOKA Tsuyoshi
Journal of Management Science, Jan. 2021, [Reviewed] - Creating a Diploma Supplement Linked to Degree-Awarding Policies When the Curriculum Comprises Mostly of Elective Subjects
YOSHIOKA Tsuyoshi; TERUYA Kensaku
Journal of Management Practices, Humanities and Social Sciences, Dec. 2020, [Reviewed] - A Method of Mathematical Dealing with Non-Quantifiable Payoffs II
YOSHIOKA Tsuyoshi
Business Management Studies, Mar. 2020, [Reviewed] - A Method of Mathematical Dealing with Non-Quantifiable Payoffs
YOSHIOKA Tsuyoshi
Mar. 2019, [Reviewed] - A study of new products development strategies by the collaboration between regional companies and local government
NAKAMOTO Daisuke; YOSHIOKA Tsuyoshi
Business Management Studies, Sep. 2018, [Reviewed] - Local Environment Analysis of Magnetic Elements in Functional Materials by X-ray Absorption Near-Edge Structure Measurements and First-Principles Calculations
YAMAMOTO Tomoyuki; NISHIMURA Kazuma; YOSHIOKA Tsuyoshi
Computational Materials and Biological Sciences, 01 Jan. 2015 - Substitution Mechanism of Mn and Fe Ions in Bi4Ti3O12
IEEE Transactions on Magnetics, Jun. 2014, [Reviewed] - Development of a Vacuum Collimator for a Silicon Drift Detector and Its Application to Light Element Analysis Under Atmospheric Condition
MAKINO Taiki; YOSHIOKA Tsuyoshi; MOMOSAKI Kenjiro; TSUJI Emiko; NOGUCHI Naoki; NISHIWAKI Yoshinori; HASHIMOTO Takashi; HONDA Sadao; NINOMIYA Toshio; FUJIWARA Akihiko; TAKATA Masaki; HAYAKAWA Shinjiro
Mar. 2014, [Reviewed] - Electronic structure analysis of Mn- and Fe-codoped In2O3 by photoemission yield measurements
YAMASHITA Daisuke; YOSHIOKA Tsuyoshi; NISHIDA So; YAMAMOTO Tomoyuki
Physica B: Condensed Matter, Nov. 2012, [Reviewed] - Co-L3 X-ray absorption near-edge structure analysis of Pr1−xCaxCoO3−δ and Pr1−xSrxCoO3−δ
YOSHIOKA Tsuyoshi; YAMAMOTO Tomoyuki; KITADA Akihiko
Physica B: Condensed Matter, Nov. 2012, [Reviewed] - Determination of valence state of Mn ions in Pr1−xAxMnO3−δ (A=Ca, Sr) by Mn-L3 X-ray absorption near-edge structure analysis
KANAMORI Haruto; YOSHIOKA Tsuyoshi; HIROSE Kazuyuki; YAMAMOTO Tomoyuki
Journal of Electron Spectroscopy and Related Phenomena, Aug. 2012, [Reviewed] - Analysis of Charge Compensation Mechanisms in Pr₁₋xAxCoO₃₋δ (A = Ca, Sr) by X-ray Absorption Near-Edge Structure
YOSHIOKA Tsuyoshi; YAMAMOTO Tomoyuki; KITADA Akihiko
Japanese Journal of Applied Physics, 26 Jun. 2012, [Reviewed] - Valence states analysis of Pr ions and Co ions in Pr1-xAxCoO3-δ
YOSHIOKA Tsuyoshi; YAMAMOTO Tomoyuki
AMTC letters: International Journal of Advanced Microscopy and Theoretical Calculations, Mar. 2012, [Reviewed] - Valence state analysis of Mn and Fe ions in room-temperature ferromagnetic Mn- and Fe-codoped
OKAZAKI Teruki; YOSHIOKA Tsuyoshi; KUSAKABE Yasuyuki; YAMAMOTO Tomoyuki; KITADA Akihiko
Solid State Communications, Dec. 2011, [Reviewed]
Books and other publications
Affiliated academic society
Research Themes
- Development of Software for Estimating the Price of Intangible Assets Using Multivariate Analysis
Grant-in-Aid for Scientific Research (C)
Teikyo Heisei University
Apr. 2021 - Mar. 2024
This research developed a method to estimate a company's intangible assets using multivariate analysis and machine learning, and implemented it as software. Based on the financial data of companies listed on the Tokyo Stock Exchange Prime Market, a predictive model for intangible fixed assets was constructed. By using generative AI to create synthetic data, the accuracy and generalizability of the model were enhanced. As a result, companies and industries with a high probability of unrecorded intangible fixed assets were identified, proposing a new evaluation method that contributes to an accurate reflection of corporate value. This is expected to provide investors and managers with information for more accurate decision-making and enhance the transparency and reliability of corporate financial reporting.
