Course Syllabus

Course Information：

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	363514	E-Business Management	1	3.0	3	★	Cheng, Chen-Yang	GIEM CMGT	14	0	工管博和管理博合開

Course Plan：

Instructor	Cheng, Chen-Yang　Office Hours
Email	cuc174@gmail.com
Last Updated	2026-09-08 21:45:28
Course Objective	This graduate-level course examines e-Business management from both managerial and research perspectives. The course covers digital transformation, digital platforms, enterprise systems, data-driven management, emerging technologies, and Generative AI applications. In addition to lectures and case studies, students will critically read and analyze international journal articles, lead paper presentations, participate in research seminars, and evaluate research methods, findings, limitations, and implications. Special attention will be given to emerging technology trends and their impacts on organizations, business models, and future research.
Course Schedule (Week 1-16)	Week 1. Introduction to e-Business Management and Digital Transformation Week 2. Digital Economy, e-Business Models, and Emerging Business Trends Week 3. Digital Platforms, Ecosystems, and Platform Strategy Week 4. Enterprise Systems, ERP, and Digital Integration Week 5. Digital Supply Chains and Smart Operations Week 6. Data-Driven Management and Business Analytics Week 7. International Journal Reading: How to Read and Analyze Academic Papers Week 8. Research Seminar I: Journal Paper Presentation and Critical Discussion Week 9. Emerging Technologies and Digital Business Innovation Week 10. Artificial Intelligence and Intelligent Business Applications Week 11. Generative AI: Technologies, Applications, and Business Transformation Week 12. Generative AI for Knowledge Work, Decision-Making, and Research Week 13. AI Agents, Agentic AI, and Intelligent Business Automation Week 14. Research Seminar II: Critical Analysis of Emerging Technology Research Week 15. Research Seminar III: Student-Led Journal Paper Presentations and Discussion Week 16. Future of e-Business: Research Trends, Opportunities, and Research Agenda
Flexible Learning (Week 17-18)	Category ● 學生分組實作及討論(Student group practice and discussion) ● 參與校內外活動(講座、工作坊、參訪)或競賽(Participation in on-campus or off-campus activities (lectures, workshops, visits) or competitions) ● AI 輔助學習與工具應用(AI-assisted learning and tool application) Content Students will conduct an in-depth analysis of selected international journal articles related to e-Business, digital transformation, emerging technologies, or Generative AI. They will critically evaluate the research questions, theoretical foundations, methodology, findings, limitations, and contributions, and develop future research directions through seminar discussions and presentations. Hours 6 Learning Outcomes Students will present and critically review selected international journal articles and participate in research seminars. Learning outcomes will be assessed based on the quality of literature analysis, critical thinking, understanding of research methodology, ability to identify research gaps, discussion performance, and the development of meaningful future research questions. Assessment Percentage The flexible learning activities, including journal article analysis, seminar discussion, and research presentation, account for 20% of the final course grade.
Evaluation and grading policy	Class Participation and Research Discussion: 20% International Journal Paper Presentation: 25% Critical Review and Research Analysis: 25% Final Research Project and Presentation: 30%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Instructor-prepared lecture slides, selected international journal articles, business cases, industry reports, and recent publications on e-Business, digital transformation, emerging technologies, artificial intelligence, and Generative AI.
The access to curricular consultation	Students may contact the instructor by email (cycheng@ntut.edu.tw) to schedule an appointment for course consultation, journal paper discussion, research guidance, or other course-related questions.
Expanding teaching and resources	● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification. ● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment. ● 數位教材資源應用 (Application of Digital Resources) 採用影音多媒體或具開放授權之資源（如OCW、開放教科書）作為主要或輔助教材。 Adopts multimedia or open-licensed resources (e.g., OCW, Open Textbooks) as primary or supplementary teaching materials.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	● 使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools） ● 使用生成式AI進行課堂即時互動（Use generative AI for real-time classroom interaction） ● 簡單介紹AI的基本概念（Briefly introduce the basic concept of AI） ● 深入探討AI的原理與應用（Explore the principles and applications of AI in depth）
Note	This course is conducted in English and designed as a research-oriented graduate seminar. Students are expected to actively participate in discussions, critically analyze international journal articles, and present research papers in English. Generative AI tools may be used to support literature analysis and research exploration; however, students are responsible for verifying AI-generated information and demonstrating independent critical thinking.