以下のとおり、産業経営研究所のイベントを開催します。
【産研講演会】
◎2025年10月13日(月) 講演会（詳細はこちら）
| テーマ | Waseda Organizational and Financial Economics Seminar： Money is the Root of Asset Bubbles |
| 講演者 | 岩﨑 康平 氏（京都大学 経済学部 准教授） |
| 概要 | This paper examines how monetary expansion causes asset bubbles. When there is no monetary expansion, a bubbly asset is not created due to a hold-up problem. Monetary expansion increases buyers’ money holdings, and as long as it does not cause high inflation, dealers are willing to buy a worthless asset from sellers, in hopes of selling it to buyers who may not know that it is worthless—a bubble now occurs. |
| 対象 | 学生・教職員・一般 |
| 世話人 | 宮島 英昭（早稲田大学商学学術院 教授） |
◎2025年10月20日(月) 講演会（詳細はこちら）
| テーマ | Waseda Organizational and Financial Economics Seminar： Commitment through Lemons: A Theory of Relationship Trading in OTC Markets |
| 講演者 | John Kuong 氏（Associate Professor, CUHK Business School, The Chinese University of Hong Kong） |
| 概要 | This paper endogenizes the value and persistence of trading relationships in non-anonymous over-the-counter (OTC) markets. In the model, a liquidity-driven client initially chooses to trade with a number of dealers. She would like to commit to trading with these dealers again in the future in exchange for better pricing or service today. When non-anonymity allows dealers to infer the client’s trading motives (i.e., whether driven by liquidity needs or private information) from past trading, the client can credibly commit to these valuable relationships by trading information-sensitive assets, because deviating to trade with alternative dealers would incur an adverse selection discount. This mechanism yields three unconventional results: liquidity-driven, uninformed clients could benefit from 1) trading risky assets that are subject to adverse selection, 2) with a costly and inefficient technology, 3) in an opaque environment. These results help rationalize why investors trade risky, complex, and illiquid assets. The paper also derives novel testable predictions about how the number of relationships depends on client and dealer characteristics. |
| 対象 | 学生・教職員・一般 |
| 世話人 | 宮島 英昭（早稲田大学商学学術院 教授） |
◎2025年10月22日(水) 講演会（詳細はこちら）
| テーマ | Business Scholars on Boards and Firm Innovation |
| 講演者 | Cornelia Storz 氏（Professor, Faculty of Economics and Business, Goethe University Frankfurt） |
| 概要 | Why do business scholars-directors, rather than STEM scholar-directors, drive firm innovation? This paper addresses this unexpected pattern through an abductive research design combining panel data, interviews, and publication analysis. Drawing on a hand-collected dataset of Chinese listed firms (2008–2018), we show that business scholars on corporate boards enhance innovation by contributing strategic knowledge – higher-order, portable insights rooted in frameworks, heuristics, and theories that help firms navigate the uncertainty inherent in innovation across market dynamics, organizational design, and competitive positioning. We theorize strategic knowledge as a distinct asset, whose impact is contingent on insider technology directors’ presence and social validation. By challenging prevailing assumptions about scientific expertise, we contribute to the knowledge-based view and corporate governance literature, reframing how strategy-related higher-order expertise can support firm-level innovation. |
| 対象 | 学生・教職員・一般 |
| 世話人 | 山野井 順一（早稲田大学商学学術院 教授） |
◎2025年10月24日(金) 講演会（詳細はこちら）
| テーマ | Corporate borrowing, Eurodollar markets, private financial Intermediation from the 1960s through the energy crises |
| 講演者 | Simone Selva 氏（早稲田大学 訪問研究員・ナポリ・オリエンターレ大学 教授） |
| 概要 | This presentation, based on previously unresearched archival collection and data from Europe, the United States, and Latin America, pinpoints the relationship between the oil producers’ wealth and its financial reflowing on global scale by exploring the relationship between the oil producers’ financial assets, financial intermediation offered by globally-oriented western banks, and the borrowing patterns of a specific category of global borrowers as corporations by focusing on a specific financial tool for global reflowing as the Eurodollar markets from the 1960s to the international economic meltdown of the 1970s. |
| 対象 | 学生・教職員・一般 |
| 世話人 | 矢後 和彦（早稲田大学商学学術院 教授） |
◎2025年10月27日(月) 講演会（詳細はこちら）
| テーマ | Making sense of AI-generated speech: challenges and opportunities for phonetics and speech science research |
| 講演者 | James Tanner 氏（Research Associate, University of Glasgow ） |
| 概要 |
Recent years have seen the substantial increase in the use and adoption of Artificial Intelligence (AI) across many spheres of daily life. For speech, AI models are capable of producing fluent and natural speech of a given speaker with only limited input data (‘voice cloning’), raising a wide range of risks for security, privacy, and personal identity. In spite of these risks, however, there remains little scientific understanding of the properties of AI-generated speech, including how AI speech models learn linguistic information from the speech signal and the extent to which AI-generated speech patterns similarly or differently to human speech. Decades of research within linguistics and phonetics, however, has uncovered how speakers manipulate patterns of acoustic variability to signal linguistic structure, social indexicality, and speaker-specific properties, and so provides a unique perspective with which to explain the behaviours of AI speech models. In this talk, I will explore how methodologies from phonetics and speech science research help provide a window into understanding the properties of AI-generated speech, and how these properties may systematically differ from human speech. By examining patterns of acoustic variability in AI-generated English and Japanese stops in both the same language (e.g. Japanese-Japanese) and opposite language of the target speaker (e.g., Japanese-English), it is found that AI-generated speech both differs from the expected human speech patterns and exhibits preference for the language-specific phonetic implementation of stops when synthesising a speaker into the opposite language. These initial findings demonstrate the potential of acoustic-phonetic approaches to the study of AI-generated speech and point the way towards phonetically-motivated and interpretable methods for AI speech detection. |
| 対象 | 学生・教職員・一般 |
| 世話人 | 篠原 靖明（早稲田大学商学学術院 准教授） |
【その他イベント】
2025年7月22日（火）早稲田大学第28回ビジネスプランコンテストが開催されました。
【アカデミック・フォーラム】（2024年度）
2025年3月15日(土) 第29回産研アカデミック・フォーラム「経営学研究の軌跡と展望」が開催されました。 早稲田大学商学学術院 坂野友昭教授退職記念
