Type of Credit: Elective
Credit(s)
Number of Students
This course is designed to nurture a future scholar in the marketing discipline as an independent researcher. With this aim, students are asked to develop their research questions/hypotheses, design a survey/experiment, collect, analyze, and interpret data. At the end of this semester, students will be ready to present their findings at an international academic conference and have a working paper targeted to a journal.
能力項目說明
Students are required to read a minimum of two papers from top marketing journals weekly. Students are required to come up with at least one discussion question from each paper, and submit them one day before our seminar. Students must be “ready” to discuss with me during our meeting.
Students are expected to come up with a research question/hypothesis that is either theoretically-driven or phenomenon-driven (e.g., interesting observations).
Students will be able to empirically test and validate their hypotheses by using an appropriate research method (e.g., explorative, descriptive, or causal paradigm).
Students will learn how to collect, analyze, report, and interpret data in a scientifically sound way.
Students will learn how to review a paper (as a reviewer).
Students will learn how to write an academic paper and draft a mini-report (about ten pages, including an appendix and reference).
Students will learn how to present their findings at an academic conference.
| 教學週次Course Week | 彈性補充教學週次Flexible Supplemental Instruction Week | 彈性補充教學類別Flexible Supplemental Instruction Type |
|---|---|---|
Note. The following content is subject to be changed.
|
週次 Week |
課程主題 Topic |
課程內容與指定閱讀 Content and Reading Assignment |
教學活動與作業 Teaching Activities and Homework |
學習投入時間 Student workload expectation |
|||
|
課堂講授 In-class Hours |
課程前後 Outside-of-class Hours |
||||||
|
1 |
Introduction |
Understanding a research framework in marketing |
Lecture and discussion |
3.0 |
24 + |
||
|
2 |
Literature Review |
AI and Humanoid Service Robots |
Discussion |
3.0 |
24 + |
||
|
3 |
Literature Review |
AI Influencers |
Discussion |
3.0 |
24 + |
||
|
4 |
Literature Review |
Anthropomorphism |
Discussion |
3.0 |
24 + |
||
|
5 |
Literature Review |
Augmented and Virtual Reality |
Discussion |
3.0 |
24 + |
||
|
6 |
Literature Review |
Metaverse |
Discussion |
3.0 |
24 + |
||
|
7 |
Literature Review |
Chatbot and ChatGPT |
Discussion |
3.0 |
24 + |
||
|
8 |
Literature Review |
Mobile Ad |
Discussion |
3.0 |
24 + |
||
|
9 |
Research Model |
Developing a conceptual model |
Practicum |
3.0 |
24 + |
||
|
10 |
Research design |
Designing a research plan |
Practicum |
3.0 |
24 + |
||
|
11 |
Survey design |
Questionnaire design |
Practicum |
3.0 |
24 + |
||
|
12 |
Data I |
Data collection |
Practicum |
3.0 |
24 + |
||
|
13 |
Data II |
Data analysis |
Practicum |
3.0 |
24 + |
||
|
14 |
Manuscript Framework |
Guidelines for writing an academic paper |
Lecture |
3.0 |
24 + |
||
|
15 |
Reviewing a paper |
Play a role as a reviewer |
Lecture and discussion |
3.0 |
24 + |
||
|
16 |
Presentation |
Guidelines for academic presentation |
Lecture and discussion |
3.0 |
24 + |
||
|
17 |
Presentation & Comments for a revision |
3.0 |
24 + |
||||
|
18 |
Submission of a revised paper |
3.0 |
24 + |
||||
1. Idea (25%):
2. Method (25%):
3. Contribution (30%):
4. Final presentation (10%):
5. Assignment I (5%):
6. Assignment II (5%):
TBA