Global MBA Program

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MAN550F2(経営学 / Management 500)
Global Management

Shinya YAMAMOTO

Class code etc
Faculty/Graduate school Global MBA Program
Attached documents
Year 2024
Class code W7001
Previous Class code
Previous Class title
Term 秋学期後半/Fall(2nd half)
Day/Period 土1/Sat.1, 土2/Sat.2
Class Type 専門講義
Campus 市ヶ谷 / Ichigaya
Classroom name 各学部・研究科等の時間割等で確認
Grade 1・2
Credit(s) 2
Notes Global MBA
Class taught by instructors with practical experience
Category Foundation Courses

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Outline and objectives

This course aims to provide a comprehensive understanding of global management practices in the biopharmaceutical industry and the impact of emerging technologies, such as AI, on organizations. Students will explore the importance of knowledge and experience in current operational workflows, the challenges posed by the innovator's dilemma, and the significance of small organizations and social entrepreneurship in the global business landscape. Additionally, the course will cover topics related to web3, Decentralized Autonomous Organizations (DAO), and their implications for global management.

Goal

1. To develop a deep understanding of the biopharmaceutical industry and its global management challenges.
2. To explore the impact of AI technologies on global management and decision-making processes.
3. To understand the importance of knowledge and experience in managing operational workflows.
4. To analyze the innovator's dilemma and its implications for global organizations.
5. To recognize the significance and potential of small organizations and social entrepreneurship in the global business ecosystem.
6. To comprehend the concepts of web3 and Decentralized Autonomous Organizations (DAO) and their implications for global management.

Which item of the diploma policy will be obtained by taking this class?

Will be able to gain“DP1”,“DP2”,“DP3”and“DP5”.

Default language used in class

英語 / English

Method(s)(学期の途中で変更になる場合には、別途提示します。 /If the Method(s) is changed, we will announce the details of any changes. )

This course will employ a combination of lectures, case studies, group discussions, and guest lectures from industry experts. Real-world examples and practical applications will be emphasized to enhance understanding and critical thinking.

Active learning in class (Group discussion, Debate.etc.)

あり / Yes

Fieldwork in class

あり / Yes

Schedule

授業形態/methods of teaching:対面/face to face

※各回の授業形態は予定です。教員の指示に従ってください。

1st[対面/face to face]:Introduction to Global Management and the Biopharmaceutical Industry

1. Global Business Environment
2. Current Industry Trends
3. Biopharmaceutical Industry

2nd[対面/face to face]:AI Technologies in Global Management

1. LLM (Large Language Models)
2. AI Agent
3. AGI (Artificial General Intelligence)
4. ASI (Artificial Superintelligence)

3rd[対面/face to face]:Cutting Edge Trends and Methods in the Biopharmaceutical Industry: Part I

1. Knowledge and Experience in Operational Workflows

4th[対面/face to face]:Cutting Edge Trends and Methods in the Biopharmaceutical Industry: Part II

1. The Innovator's Dilemma and its Impact on Global Organizations

5th[対面/face to face]:Cutting Edge Methods for Decision Making in the Global Management: Part I

1. Importance of Small Organizations (Startups) and Community in Global Management

6th[対面/face to face]:Cutting Edge Methods for Decision Making in the Global Management: Part II

1. Social Entrepreneurship in the Global Business Landscape

7th[対面/face to face]:Cutting Edge Methods for Decision Making in the Global Management: Part III

1. Introduction to web3 / Decentralized Autonomous Organizations (DAO) and their Implications for Global Management

Work to be done outside of class (preparation, etc.)

Students will be expected to read relevant articles, case studies, and research papers as assigned before each class. They will also be required to actively participate in online forums and discussions related to the course topics. In general students may expect 3 to 5 hours per week required outside of class for reading and assignments.

Textbooks

1. The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail - by Clayton M. Christensen
2. Lead and Disrupt: How to Solve the Innovator's Dilemma - by Charles A. O’Reilly III and Michael L. Tushman
3. Social Entrepreneurship: What Everyone Needs to Know - by David Bornstein

References

Additional reading materials and references will be provided throughout the course on relevant topics, such as AI in biopharmaceutical industry, DAOs, and web3 technology.

Grading criteria

Grades will be based on class participation(30 pts), group projects(20 pts), field work(20 pts) and a final report(30 pts).

Changes following student comments

I would like to try to let students learn practical lessons from actual cases of managing a global company.

Equipment student needs to prepare

Laptop/Tablet for student should be prepared as BYOD (Bring Your Own Device).

Others

This class is geared to aii organizations major/ medium/ small enterprises, startup, community, Central/ Local Government, Hospital and University/ Institute.

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