学部・研究科Faculty/Graduate school | GISDepartment of Global and Interdisciplinary Studies |
添付ファイル名Attached documents | |
年度Year | 2023 |
授業コードClass code | A6349 |
旧授業コードPrevious Class code | |
旧科目名Previous Class title | |
開講時期Term | 春学期授業/Spring |
曜日・時限Day/Period | 金1/Fri.1 |
科目種別Class Type | |
キャンパスCampus | 市ヶ谷 / Ichigaya |
教室名称Classroom name | 市外濠‐S601 |
配当年次Grade | 3~4 |
単位数Credit(s) | 2 |
備考(履修条件等)Notes | |
他学部公開科目Open Program | |
他学部公開(履修条件等)Open Program (Notes) | |
グローバル・オープン科目Global Open Program | |
成績優秀者の他学部科目履修制度対象Interdepartmental class taking system for Academic Achievers | ○ |
成績優秀者の他学部科目履修(履修条件等)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。 |
実務経験のある教員による授業科目Class taught by instructors with practical experience | |
SDGsCPSDGs CP | |
アーバンデザインCPUrban Design CP | |
ダイバーシティCPDiversity CP | |
未来教室CPLearning for the Future CP | |
旧科目との重複履修Duplicate Subjects Taken Under Previous Class Title | |
カテゴリー(2020年度以降入学者)Category (commenced 2020 onwards) | 300-level Advanced Courses(上級) |
カテゴリー(2016~2019年度入学者)Category (commenced 2016-2019) | 300-level Advanced Courses Business and Economy |
【授業の概要と目的(何を学ぶか) / Outline and objectives】
This course aims at learning three domains of business strategy, “customer”, “competition”, “data” as individual topics in relation to digital transformation. Then students will explore and analyze the meanings / applications of three domains for modern companies (including both incumbents and digital-born companies) through a textbook and multiple case studies.
【到達目標 / Goal】
In this course, by participating a series of group presentations and group discussions, 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.
【この授業を履修することで学部等のディプロマポリシーに示されたどの能力を習得することができるか(該当授業科目と学位授与方針に明示された学習成果との関連) / 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”.
【授業で使用する言語 / Default language used in class】
英語 / English
【授業の進め方と方法 / 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 presentations, and group discussion. Students are required to read each chapter of a textbook in advance that will be covered during the class and submit summary of it. After partial lectures from an instructor, students will participate in group presentations and subsequent discussions. The subject of group presentations will be divided into two types -- (1) the content of each chapter based on rigorous understandings, (2) case studies of the modern companies that can deepen understandings of each chapter and develop students' own critical perspective on each case of digital transformation.
At the beginning of class, feedback for the previous class is given using some comments from submitted weekly papers.
【アクティブラーニング(グループディスカッション、ディベート等)の実施 / Active learning in class (Group discussion, Debate.etc.)】
あり / Yes
【フィールドワーク(学外での実習等)の実施 / Fieldwork in class】
なし / No
【授業計画 / 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。
回 / No. | 各回の授業形態予定 / methods of teaching | テーマ / Theme | 内容 / Contents |
---|---|---|---|
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. |
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 powerful benefits of business platforms and studies how 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 & Finalizing Chapters 1-4 | The final class will briefly wrap up what we have learned by an instructor, and students will do small group presentations. |
【授業時間外の学習(準備学習・復習・宿題等) / Work to be done outside of class (preparation, etc.)】
Preparatory study and review time for this class are 2 hours each.
【テキスト(教科書) / Textbooks】
Rogers, D. (2016). The digital transformation playbook. Columbia University Press, 3,492yen (hardcover).
【参考書 / References】
Marr, B. (2016). Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results. John Wiley & Sons.
【成績評価の方法と基準 / Grading criteria】
Participation (20%); Weekly paper (20%);
Group presentations (40%); Group discussions (20%).
【学生の意見等からの気づき / Changes following student comments】
Not applicable
【学生が準備すべき機器他 / 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.