日本語

Course Code etc
Academic Year 2026
College College of Law and Politics
Course Code EX817
Theme・Subtitle
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Ikebukuro
Semester Fall semester
DayPeriod・Room Tue.5
ログインして教室を表示する(Log in to view the classrooms.)
Credits 2
Course Number LPX2901
Language English
Class Registration Method Lottery Registration(定員:10人/ Capacity:10)
Assigned Year 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
Prerequisite Regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
Course Cancellation 〇(履修中止可/ Eligible for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
https://www.rikkyo.ac.jp/about/disclosure/educational_policy/lp.html
Notes 法学部国際ビジネス法学科グローバルコースの学生のみ
Only for students of College of Law and Politics Global Program of the Department of International Business Law

【Course Objectives】

By the end of this course, you will be able to:
1. Analyze stakeholders and apply ethical frameworks. Analyze a business decision from multiple stakeholder perspectives, including stakeholders who are silent, geographically distant, or not yet born, and apply ethical frameworks to the trade-offs it surfaces.
2. Compare competing views of corporate purpose. Compare contrasting accounts of what business is for and what it owes to society, from shareholder primacy to stakeholder capitalism.
3. Read demographic and technological transitions. Evaluate how demographic change and artificial intelligence are reshaping the relationship between firms and the societies they operate in.

【Course Contents】

This course examines how the relationship between business and society is being reshaped by factors such as demographic change, artificial intelligence, and the rising power of athletes, artists, and creators. Across the semester you will work through core questions about what firms are for, what they owe to others, and what it means to lead in a turbulent global environment. You will analyze contested business-society questions using rigorous frameworks drawn from current research and contemporary examples.

Japanese Items

【授業計画 / Course Schedule】

1 Why business is a social institution
2 Two models of the firm: Friedman vs. Freeman
3 Ethics I: how good people make bad decisions
4 Ethics II: what business owes society
5 Aging and the future of work
6 Intergenerational interaction
7 Midterm test (in-class)
8 Sport and society
9 AI and accountability
10 AI in business and society
11 The Japanese firm in comparative perspective
12 Music, entertainment, and the attention economy
13 Synthesis: what kind of business leader will you be?
14 Final Test (in-class)

【活用される授業方法 / Teaching Methods Used】

板書 /Writing on the Board
スライド(パワーポイント等)の使用 /Slides (PowerPoint, etc.)
上記以外の視聴覚教材の使用 /Audiovisual Materials Other than Those Listed Above
個人発表 /Individual Presentations
グループ発表 /Group Presentations
ディスカッション・ディベート /Discussion/Debate
実技・実習・実験 /Practicum/Experiments/Practical Training
学内の教室外施設の利用 /Use of On-Campus Facilities Outside the Classroom
校外実習・フィールドワーク /Field Work
上記いずれも用いない予定 /None of the above

補足事項 (Supplementary Items)
This course is taught in lecture format with active-learning elements appropriate to a large undergraduate section. Methods include instructor-led lectures on theory and current events, structured in-class discussion, small-group activities, contemporary examples, audiovisual materials, and Canvas LMS for reflection prompts, supplementary readings, and announcements. Two in-class tests (midterm and final) anchor assessment, and class participation in discussion and group work is graded across the semester.

【授業時間外(予習・復習等)の学修 / Study Required Outside of Class】

You are expected to read materials and watch any assigned videos before each session, complete short Canvas reflections as assigned, and engage with current-events material that the instructor will flag through Canvas. Approximately 4 hours per week of preparation and review.

【成績評価方法・基準 / Evaluation】

種類 (Kind)割合 (%)基準 (Criteria)
平常点 (In-class Points)100 最終テスト(Final Test)(40%)
Midterm Test(In-class test administered on Session 7, covering material from Sessions 1 through 6.)(30%)
Reflection Prompts(Short reflection prompts submitted through Canvas, graded on completion rather than quality.)(15%)
Class Participation(Active participation in class discussion and small-group work across the semester.)(15%)
備考 (Notes)
If the score for the Final test is 0, the course grade will be "D" regardless of other components. Results provided through Canvas LMS. If you are an exchange student needing schedule adjustments, please consult the instructor in advance.

【テキスト / Textbooks】

その他 (Others)
No required textbook. All readings are distributed through Canvas LMS.

【参考文献 / Readings】

その他 (Others)
Supplemental readings, including articles, book chapters, and current-events material, will be distributed by the instructor via Canvas LMS on a session-by-session basis. Reading lists will be finalized session-by-session and refreshed each year.

【履修にあたって求められる能力 / Abilities Required to Take the Course】

You should be comfortable participating in discussion and small-group work conducted in English. The course carries the Sheltered Course designation (minimum TOEIC 730). No prior business coursework is required.

【学生が準備すべき機器等 / Equipment, etc., that Students Should Prepare】

Bring a notebook PC or tablet to each session. Canvas will be the home for all materials, reflections, and assignment submission.

【その他 / Others】

This syllabus reflects the course as planned at the time of preparation. The instructor reserves the right to make minor adjustments to materials based on current events, with any changes communicated promptly through Canvas.

USE OF AI AND GENERATIVE AI TOOLS
This course treats large language models (LLMs) as a strategic thinking partner: a tool to expand your analytical capability, without replacing your judgment. This policy reflects an approach the instructor has used in past undergraduate and graduate programs.
Green Light (default). Unless an assignment explicitly states otherwise, you are welcome to use AI tools (ChatGPT, Claude, Gemini, Copilot, Perplexity, or others) for research, brainstorming, structural outlining, drafting feedback, and synthesizing background material.
Red Light (by exception). Some assignments are designed to test foundational skills that require individual effort. In those instances, the assignment instructions will state explicitly: "AI use is prohibited for this assignment." The Midterm test and Final test (both in-class) are Red Light by default.
Disclosure requirement. When you use AI on a Green Light assignment, briefly note (i) the tool, (ii) what you used it for, and (iii) what remained your own work. This disclosure is part of academic integrity in this course. Disclosed AI use is not penalized; undisclosed AI use is.

【注意事項 / Notice】

Sheltered Course(Min.TOEIC:730)