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AI Transparency and Sustainability Performance: An Empirical and Case Study Analysis of Japanese Listed Firms and Startups

Research Project

Project/Area Number 25K05414
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 07100:Accounting-related
Research InstitutionNagoya University of Commerce & Business

Principal Investigator

Frendy  名古屋商科大学, 商学部, 教授 (00825218)

Co-Investigator(Kenkyū-buntansha) 武田 史子  慶應義塾大学, 経営管理研究科(日吉), 教授 (70347285)
Goi HoeChin  名古屋商科大学, 経営学部, 教授 (10802548)
HAKEEM M.MOHSIN  名古屋商科大学, 経済学部, 准教授 (70793769)
Project Period (FY) 2025-04-01 – 2028-03-31
Project Status Granted (Fiscal Year 2025)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2027: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2026: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2025: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Keywordsartificial intelligence / sustainability / empirical / case study / qualitative
Outline of Research at the Start

Prominent multinational Japanese companies such as Toyota, Fujitsu, Hitachi,
and NEC are investing heavily in AI technology. As sustainability issues grow in importance, it is crucial to understand how companies' AI transparency affects sustainability performance. Our study employs empirical and qualitative case study analysis that develops a measure of AI transparency in Japanese firms, examines its effects on sustainability performance, or investigates AI technology integration into multinational corporations' and startups' business models concerning sustainability.

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Published: 2025-04-17   Modified: 2025-06-20  

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