| 授業名 | Management Information Systems |
|---|---|
| Course Title | Management Information Systems |
| 担当教員 Instructor Name | Minjeong Ham |
| コード Couse Code | NUC453_N25B |
| 授業形態 Class Type | 講義 Regular course |
| 授業形式 Class Format | On Campus |
| 単位 Credits | 2 |
| 言語 Language | EN |
| 科目区分 Course Category | 専門教育科目 / Specialized Subject |
| 学位 Degree | BBA |
| 開講情報 Terms / Location | 2025 UG Nisshin Term3 |
授業の概要 Course Overview
Mission Statementとの関係性 / Connection to our Mission Statement
This course aligns with NUCB's mission to cultivate future leaders who strategically leverage information technology to enhance organizational performance and competitiveness, while also positively impacting individuals and society at large.
授業の目的（意義） / Importance of this course
This course is essential for understanding how information systems support managerial decision-making, streamline processes, and provide strategic advantages.
到達目標 / Achievement Goal
Students will acquire the skills necessary to analyze, design, and utilize information systems effectively within business environments.
本授業の該当ラーニングゴール Learning Goals
*本学の教育ミッションを具現化する形で設定されています。
LG1 Critical Thinking
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG5 Business Perspectives (BSc)
LG6 Managerial Perspectives (BBA)
LG2 Diversity Awareness
LG3 Ethical Decision Making
LG4 Effective Communication
LG5 Business Perspectives (BSc)
LG6 Managerial Perspectives (BBA)
受講後得られる具体的スキルや知識 Learning Outcomes
Students will understand key concepts and structures of management information systems.
Students will analyze real-world business scenarios through information systems.
Students will evaluate the strategic importance of information systems in business decision-making.
Students will analyze real-world business scenarios through information systems.
Students will evaluate the strategic importance of information systems in business decision-making.
SDGsとの関連性 Relevance to Sustainable Development Goals
Goal 4 質の高い教育をみんなに（Quality Education）
教育手法 Teaching Method
| 教育手法 Teaching Method | % of Course Time | |
|---|---|---|
| インプット型 Traditional | 30 % | |
| 参加者中心型 Participant-Centered Learning | ケースメソッド Case Method | 70 % |
| フィールドメソッド Field Method | 0 % | 合計 Total | 100 % |
事前学修と事後学修の内容、レポート、課題に対するフィードバック方法 Pre- and Post-Course Learning, Report, Feedback methods
授業スケジュール Course Schedule
第1日（Day1）
Case 1●使用するケース
Harry Rosen: Digitizing Customer Relationships第2日（Day2）
Case 2●使用するケース
Prada: Haute Couture in the Digital Era第3日（Day3）
Case 3●使用するケース
Huaxi Hospital: Digital Transformation of Healthcare第4日（Day4）
Case 4●使用するケース
iStockphoto.com: Turning Community into Commerce第5日（Day5）
Case 5●使用するケース
Richter: Information Technology at Hungary's Largest Pharma第6日（Day6）
Case 6●使用するケース
Shiva Tourist Dhaba: Managing Customer Loyalty第7日（Day7）
Case 7●使用するケース
Netflix Inc.: The Disruptor Faces Disruption成績評価方法 Evaluation Criteria
*成績は下記該当項目を基に決定されます。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
*クラス貢献度合計はコールドコールと授業内での挙手発言の合算値です。
| 講師用内規準拠 Method of Assessment | Weights |
|---|---|
| コールドコール Cold Call | 0 % |
| 授業内での挙手発言 Class Contribution | 70 % |
| クラス貢献度合計 Class Contribution Total | 70 % |
| 予習レポート Preparation Report | 0 % |
| 小テスト Quizzes / Tests | 0 % |
| シミュレーション成績 Simulation | 0 % |
| ケース試験 Case Exam | 0 % |
| 最終レポート Final Report | 30 % |
| 期末試験 Final Exam | 0 % |
| 参加者による相互評価 Peer Assessment | 0 % |
| 合計 Total | 100 % |
評価の留意事項 Notes on Evaluation Criteria
教科書 Textbook
- 「 」 （）
参考文献・資料 Additional Readings and Resource
授業調査に対するコメント Comment on Course Evaluation
担当教員のプロフィール About the Instructor
Minjeong Ham is an Assistant Professor at NUCB. She received her Ph.D. in Information Systems from Yonsei University, Seoul, South Korea. She was a postdoctoral fellow at Korea University before joining NUCB. Her research interests include Information Systems adoption and usage in digital business, especially in the creative industry. A significant aspect of her research centers on privacy concerns in personalized advertising, examining the delicate balance between user data protection and effective ad targeting.
Refereed Articles
- (2025) Personal data strategies in digital advertising: Can first-party data outshine third-party data?. International Journal of Information Management 80 0268-4012
- (2024) How does OTT social viewing relieve pandemic-related depressive symptoms? Investigating the moderated mediation model of social connectedness and network types. The Communication Review 10714421
- (2023) Personalization, Privacy and Algorithms in Online Advertising. Yonsei University
- (2021) The effects of internet proliferation on search engine and over-the-top service markets. Telecommunications Policy 45(8): 03085961
- (2021) Empirical study on video clip consumption: focusing on viewing habits and use motives. International Journal of Mobile Communications 19(2): 1741-5217