Department of Global and Interdisciplinary Studies

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FRI300ZA(情報学フロンティア / Frontiers of informatics 300)
Digital Transformation

Youyung Hyun

Class code etc
Faculty/Graduate school Department of Global and Interdisciplinary Studies
Attached documents
Year 2024
Class code A6342
Previous Class code
Previous Class title
Term 秋学期授業/Fall
Day/Period 火2/Tue.2
Class Type
Campus 市ヶ谷 / Ichigaya
Classroom name 市富士‐F404
Grade 3~4
Credit(s) 2
Notes
Open Program
Open Program (Notes)
Global Open Program
Interdepartmental class taking system for Academic Achievers
Interdepartmental class taking system for Academic Achievers (Notes) 制度ウェブサイトの3.科目別の注意事項(1)GIS主催科目の履修上の注意を参照すること。
Class taught by instructors with practical experience
SDGs CP
Urban Design CP
Diversity CP
Learning for the Future CP
Carbon Neutral CP
Chiyoda Campus Consortium
Duplicate Subjects Taken Under Previous Class Title
Category (commenced 2024 onwards) 300-level Advanced Courses(上級)
Category (commenced 2020-2023) 300-level Advanced Courses(上級)
Category (commenced 2016-2019) 300-level Advanced Courses
Business and Economy

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Outline and objectives

This course aims at learning three domains of business strategy, “customer”, “competition”, “data” as individual topics in relation to digital transformation. Students will explore and analyze the meanings and applications of three domains for modern companies (including both incumbents and digital-born companies) through a textbook and multiple case studies.

Goal

In this course, students will (1) discover the macro/ micro mechanisms in digital transformation, (2) learn to suggest solutions to dilemmas that modern companies have, (3) synthesize emerging opportunities derived from big data and create positive organizational strategies, products, services, and experiences.

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

Will be able to gain “DP 1”, “DP 2”, “DP 3”, and “DP 4”.

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 proceed with lectures, readings, group presentation, and discussion. Students are required to read each chapter of a textbook in advance and submit a summary of it every week. After a lecture from an instructor, students will participate in group presentation and subsequent discussion. The subject of group presentations will be about case studies of the content covered in the given week.
At the beginning of class, feedback and a brief review for the previous class will be given.

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

あり / Yes

Fieldwork in class

なし / No

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。

1[オンライン/online]:Introduction of Course

Introduction of course

2[対面/face to face]:Chapter (1a): Digital Transformation

This class covers what digital transformation is and what historical background is behind it.

3[対面/face to face]:Chapter (1b): Five Domains of Strategy

This class covers the role of customers, competition, data, innovation, and value in leading digital transformation of companies.

4[対面/face to face]:Chapter (2a): Customer Networks

This class covers customer network model, marketing funnel, and relevant customer behaviors.

5[対面/face to face]:Chapter (2b): Customer Network Strategy Generator

This class covers core behaviors of customer networks which generates new marketing communications, customer experiences, and new product/service innovations.

6[対面/face to face]:Case Study of BTS

This class proceeds with open discussion about how BTS (K-pop) makes success from the perspective of digital networks.

7[対面/face to face]:Chapter (3a): Business Platform

This class covers the nature / types of business platforms and analyzes how digital impacts platforms.

8[対面/face to face]:Chapter (3b): Competitive Benefits of Platforms

This class covers powerful benefits of business platforms and studies how Apple, Google, and Microsoft have built their businesses on platform business models.

9[対面/face to face]:Chapter (3c): Value Train Analysis in Business Platforms

This class aims to understand value trains in platform businesses and identifies differences between traditional market and digital platform.

10[対面/face to face]:Chapter (4a): Big Data and Analytics

This class covers the definition of big data (in terms of data structure, volume, velocity) and studies tools that can make data into assets.

11[対面/face to face]:Chapter (4b): Big Data in Business

This class specifically covers how modern enterprise turns big data into business value.

12[対面/face to face]:Big Data in Practice (1): Representative Cases

This class is focused on understanding real-world examples of modern companies that successfully utilize big data.

13[対面/face to face]:Big Data in Practice (2): Representative Cases

This class is focused on understanding real-world examples of modern companies that successfully utilize big data.

14[対面/face to face]:Wrap-up & Final exam

The final class will briefly wrap up what we have learned by an instructor, and hold a final exam.

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

Preparatory study and review time for this class are 2 hours each.

Textbooks

Rogers, D. (2016). The digital transformation playbook. Columbia University Press, 3,492yen (hardcover).

References

Marr, B. (2016). Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results. John Wiley & Sons.

Grading criteria

Participation (20%); Weekly paper (20%);
Group presentation (30%); Final exam (30%).

Changes following student comments

Not applicable

Equipment student needs to prepare

Bring to class: a notebook, the textbook on a laptop or a tablet, or bring a hard copy. Further information will be provided by the instructor.

Prerequisite

None.