2026年度産業経営研究所イベントのお知らせ

Posted: Fri, 18 Sep 2026

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】

◎2026年9月28日(月)・29日(火) 講演会（詳細はこちら）

テーマ	Stockholm School of Economics-Waseda Innovation Workshop
講演者スケジュール	９月２８日（月） 10:00-10:05: Opening Remarks 10:05-10:55: Presentation 1 Xiayan Dai 氏 (Research Associate, Graduate School of Commerce, Waseda University) 「Strategic Communication under Socioemotional Constraints: Family Firms’ Forward-Looking Narratives in MD&A」 11:10-11:50: Presentation 2 Stefan Haefliger 氏 (Professor, House of Innovation, Stockholm School of Economics) 「Knowledge Creation between Accountability and Alienation」 11:50-13:00: Lunch (Room 901) 13:00-13:50: Presentation 3 Hiroshi Shimizu 氏 (Professor, School of Commerce, Waseda University) 「General Purpose Technologies: Identification」 13:55-14:45: Presentation 4 Valentina Tartari 氏 (Professor, House of Innovation, Stockholm School of Economics) 「Evaluator Turnover and the Recovery of Good Ideas」 14:50-15:40: Presentation 5 Hao Zhang 氏 (PhD student, Department of Business Design and Management, Graduate School of Creative Science and Engineering, Waseda University) 「Coopetition, Greenwashing, and Governance in the Circular Economy: An Agent-Based Model」 15:40-16:00: Coffee Break 16:00-16:50: Presentation 6 Constantin Blome 氏 (Professor, House of Innovation, Stockholm School of Economics) 「Supply Chain and Geopolitics: Supply Chain Weaponization & Securitization」 16:55-17:45: Presentation 7 Shosuke Noguchi 氏 (Assistant Professor, School of Commerce, Waseda University) 「When Commitments Fail: Cancellations and Retention on a Two-Sided Platform」９月２９日（火） 9:30-10:20: Presentation 8 Tasuku Yasui 氏 (PhD student, Department of Business Design and Management, Graduate School of Creative Science and Engineering, Waseda University) 「A Portfolio-State Methodology for Classifying Investors and Tracking Trajectories in Startup Ecosystems」 10:25-11:15: Presentation 9 Pär Åhlström 氏 (Torsten and Ragnar Söderberg Professor of Operations Management at the Stockholm School of Economics) 「Process Innovation and Artificial Intelligence」 11:20-12:10: Presentation 10 Yuxuan Liu 氏 (PhD student, Graduate School of Commerce, Waseda University) 「When Rivals Disappear: Incumbent Response to Government-Imposed Competitor Bans」 12:10-12:20: Closing Remarks
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）

◎2026年9月30日(水) 講演会（詳細はこちら）

テーマ	『M&A/PMIを操る次世代リーダーのキャリア戦略』～「戦略立案から統合実務」までを繋ぐ市場価値の高め方～
講演者	小島　秀毅　氏株式会社SHIFT グループ経営推進本部本部長株式会社SHIFTグロース・キャピタル代表取締役 SHIFT USA Inc. 取締役CEO
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）

◎2026年10月7日(水) 講演会（詳細はこちら）

テーマ	『Classifying firms’ technological capabilities from website text: A longitudinal study of AI adoption in Europe』
講演者	Alexander Kopka 氏　（Senior Researcher, Thünen Institute of Rural Economics）
要旨	AI adoption is expected to drastically impact economic activity in the coming years. However, assessing and tracking firm-level AI adoption in real time remains difficult. Firm-level measures of technological capabilities typically rely on patents, R&D reporting, or surveys, which capture only a narrow and lagged slice of firm activity and tend to skew toward larger firms. We explore whether firm websites, scraped longitudinally and processed with text-mining methods, can serve as a complementary signal of technological capabilities, using AI as a test case. The study draws on the CommonCrawl database, which has captured snapshots of the internet at regular intervals since 2014, combined with firm-level information from ORBIS, to construct a longitudinal EU-wide (EU27+UK) firm-level website text database for classifying (stated) technological capabilities. To classify, we plan a two-stage approach: relevant paragraphs are first identified through a dictionary-based keyword search and then classified using a supervised Sentence-BERT model. We address two research questions: (a) whether firm website texts are a useful indicator of technological capabilities and how they compare with well-established measures, and (b) how AI adoption is descriptively distributed across the EU. While research on website data for classifying technological capabilities is still young, it tends to (a) focus on individual countries and (b) neglect the potential weaknesses of the indicator itself. This study therefore aims to deliver both a methodological contribution, assessing what a website-based indicator actually captures, and a data contribution, in the form of a longitudinal database of AI capabilities for European firms.
対象	学生・教職員・一般
世話人	三橋　平（早稲田大学商学学術院教授）

◎2026年10月12日(月) 講演会（詳細はこちら）

テーマ	『Waseda Organizational and Financial Economics Seminar：Before the Vote is Cast』
講演者	Julian Franks 氏　（Emeritus Professor, Finance, London Business School）
要旨	Many scholars and some market participants argue that institutional investor engagement is insufficient, often pointing to the tendency of funds to vote in line with management and against shareholder proposals. This criticism frequently overlooks that voting decisions are typically the culmination of extensive engagement processes. Negative votes may not accurately reflect engagement efforts and influence because, in equilibrium, powerful and influential investors may resolve issues long before the vote takes place. To distinguish between rival explanations—whether the scarcity of negative votes is due to investors wanting to please management, or because negative votes are part of an engagement process tied to private communications and meetings—it is essential to analyze data on pre-voting engagements, contacts, and the decision-making processes behind votes, in addition to the actual votes cast.This paper will examine a new private database of voting decisions from one of the largest UK asset managers, containing textual records for each vote cast since 2010 across all UK holdings. Utilizing GPT-4 language models to analyze these records, we aim to test whether negative votes are rare because the investor is friendly with management—even in private—or if negative votes are integral to the engagement process and connected to private communications and meetings. Thus, we will investigate the interaction between private meetings, voting decisions, and voting outcomes over time. We will also analyse the interaction between these engagements and voting outcomes and trading decisions in the stocks.
対象	学生・教職員・一般
世話人	谷川寧彦（早稲田大学商学学術院教授）

【産研フォーラム】

2026年1月19日（月）第46回産研フォーラム「日本におけるPR（パブリックリレーションズ）の歴史と今後の展望」が開催されました。

【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

Tags: Events イベント

Share