AGU RESEARCH

School of Business

  • School of Business, Department of Business Administration
  • Published on 2026/07/02
  • How are "learning teams" created? – Transformational leadership and communities of practice that overcome knowledge-sharing barriers.
  • Professor Mutsumi Matsuo
  • Professor Mutsumi Matsuo's research, which focuses on the relationship between transformational leadership and communities of practice, clarifies the mechanisms of knowledge sharing within teams. The study was published in a highly regarded academic journal in the field of knowledge management, recognizing that knowledge sharing is promoted not through direct leadership intervention, but through the creation of a collaborative learning environment, and demonstrating the potential to suppress "knowledge concealment" that can occur within teams.

  • School of Business, Department of Marketing
  • Published on 2026/06/19
  • Why do people feel attached to brands? — Unraveling the essence of "brand relationships"
  • Professor Susumu Kubota
  • Professor Nobuhiko Kubota, who specializes in theoretical marketing theory, published "Brand Relationships" (Yuhikaku) in 2024, which summarizes the research he has been working on for many years.
    This book, which covers everything from the fundamentals to the overall picture of brand relationships, has been highly praised from various quarters and has received awards from multiple academic societies.

  • School of Business, Department of Business Administration
  • Published on 2026/02/26
  • Using accounting and AI to spot "suspicious companies"—a study deciphering signs of fraud hidden in the "writing style" of documents.
  • Professor Kenichi Yazawa
  • Accounting fraud has a serious impact on the entire capital market, but if the early signs of fraud can be detected, the damage can be prevented. Therefore, in recent years, research into analyzing corporate disclosure documents to identify signs of fraud has attracted global attention.
    Professor Kenichi Yazawa, in collaboration with Azusa Audit Corporation, is developing an AI model that uses AI (machine learning and natural language processing) to detect early signs of accounting fraud by focusing on both the numbers (financial data) and text (text data) in the securities reports published by companies.

  • School of Business, Department of Business Administration
  • Published on 2026/07/02
  • How are "learning teams" created? – Transformational leadership and communities of practice that overcome knowledge-sharing barriers.
  • Professor Mutsumi Matsuo

  • School of Business, Department of Marketing
  • Published on 2026/06/19
  • Why do people feel attached to brands? — Unraveling the essence of "brand relationships"
  • Professor Susumu Kubota

  • School of Business, Department of Business Administration
  • Published on 2026/02/26
  • Using accounting and AI to spot "suspicious companies"—a study deciphering signs of fraud hidden in the "writing style" of documents.
  • Professor Kenichi Yazawa
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