＜概要/Course Content Summary＞
This course provides an introduction to the strategic integration of communication and of Information Technology (IT).
Organizations need to strategically adopt disruptive technology to differentiate from competitors in an era of “disruption” where change is unprecedented in terms of speed and scope with demographics, culture, customer needs and preferences, globalization and technology. The course recognizes that understanding emerging technologies and developing insights for their potential are important for students to build their confidence and perspective to become effective business leaders.
Specific topics of the course include:
The strategic use of IT in marketing communications (AI, AR, VR, MR, IoT, Drone, etc.)
Emerging IT architectures and their relation to transformation of user experience.
Technology and transformation of internal and external communications for organizations.
Communication grand design, integrating IT to engage customers and employees to elevate brand experience.
User experience with IT at every touch point of customer journey.
＜到達目標/Goals,Aims＞
Students who successfully complete this course will have:
1. A clear understanding of the key elements of effective business and communications strategies in an era of digital transformation.
2. A foundation for designing business communication with a clear perspective of emerging information technologies and their potential to enhance business.
3. Insights for ramifications of the new technologies and potential threats that organization and the society may face.
4. The ability to formulate a strategy in elevating user experience to enhance loyalty of customers and stakeholders.
＜授業計画/Schedule＞
（実施回/
Week）
|
（内容/
Contents）
|
（授業時間外の学習/
Assignments）
|
|
（実施回/ Week）
1
|
（内容/ Contents）
Introduction: evolution information technology and communication - Human Interface, GUI, DTP, Digital Video, 3D, electronic conference, Internet, social media
|
（授業時間外の学習/ Assignments）
-
|
|
（実施回/ Week）
2
|
（内容/ Contents）
Group Discussion and Project Introduction: Technology and Innovation
|
（授業時間外の学習/ Assignments）
-
|
|
（実施回/ Week）
3
|
（内容/ Contents）
Designing Communication with IT: customer journey, user experience, touch point
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
4
|
（内容/ Contents）
Group discussion/workshop: building customer journey map / design thinking
|
（授業時間外の学習/ Assignments）
Read “Stitch Fix’s CEO on Selling Personal Style to the Mass Market”
|
|
（実施回/ Week）
5
|
（内容/ Contents）
Emerging technology: Artificial Intelligence / Robotics, others
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
6
|
（内容/ Contents）
Group Discussion: AI, Moral Machine, Systems Thinking (Draw Toast)
|
（授業時間外の学習/ Assignments）
Read “Artificial Intelligence for the Real World”
|
|
（実施回/ Week）
7
|
（内容/ Contents）
Digital Transformation: revolution of existing business, organization, IT architecture
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
8
|
（内容/ Contents）
Case discussion: Apple’s disruptive innovation
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
9
|
（内容/ Contents）
Midterm Project
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
10
|
（内容/ Contents）
Case Discussion: “Marketing in the Age of Alexa”
|
（授業時間外の学習/ Assignments）
Read / “Marketing in the Age of Alexa”
|
|
（実施回/ Week）
11
|
（内容/ Contents）
Shifting Mass Marketing to Personalization / IoT, AR, 5G
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
12
|
（内容/ Contents）
Case discussion: “Algorithms Need Managers”
|
（授業時間外の学習/ Assignments）
Read “Algorithms Need Managers”
|
|
（実施回/ Week）
13
|
（内容/ Contents）
Integrating Technology and Liberal Arts / Humanity
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
14
|
（内容/ Contents）
Preparation - Final Presentations
|
（授業時間外の学習/ Assignments）
To be announced
|
|
（実施回/ Week）
15
|
（内容/ Contents）
Final Group Presentations
|
（授業時間外の学習/ Assignments）
-
|
The course plan is subject to change.
The cases listed here are tentative and may be replaced by others.
The reading materials and details of projects are to be announced.
＜成績評価基準/Evaluation Criteria＞
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平常点(出席，クラス参加，グループ作業の成果等)
|
20%
|
Attendance / Participation / Contribution
|
|
中間レポート試験
|
30%
|
Presentation / Contents / Depth of understanding
|
|
期末レポート試験・論文
|
30%
|
Presentation / Contents / Depth of understanding
|
|
提出物
|
20%
|
Presentation / contents / analysis
|
The grading of the course comprises following assessment factors.
1)Class Attendance and Contribution 20%: participation in class discussions and contribution in team works to the other students for their better understanding topics of discussions
2)Case Analysis 20%: depth of understanding, student’s analysis, presented of solutions to issues
3)Midterm reports and presentation 30%: depth of understanding and analysis displayed in reports and presentations
4)Final Presentation 30%: depth of understanding and analysis displayed in reports and presentations
＜テキスト/Textbook＞
|
Michael E. Porter; Thomas H. Davenport; Paul Daugherty; H. James Wilson 『HBR's 10 Must Reads on AI, Analytics, and the New Machine Age』Product #: 10234-PDF-ENG
(Harvard Business Review、Jan 15, 2019)
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＜参考文献/Reference Book＞
Materials to be announced.
＜備考/Remarks＞
This syllabus is subject to change before and/or after the class starts. Please check the latest syllabus on the web, before your registration.
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