課程資料

This intensive course provides a comprehensive introduction to theory-driven quantitative research methods and AI-enabled research workflows in the field of Information Management. The course emphasizes rigorous research design, causal inference, and academic writing for top-tier journals in IS domain (e.g., MISQ, ISR, Management Science, etc.). The course aims to equip participants with a comprehensive skill set spanning from research ideation to journal submission.

This course covers three topics:
The first topic is "Theory Development & Research Design", including:
(1) Research Paradigms in Information Systems; (2) Research Question & Problem Framing; (3) Theory Development & Hypothesis Building; (4) Literature Review & Positioning
The second topic is " Quantitative Methods", including:
(1) Quantitative Research Foundations; (2) Measurement & Research Validity; (3) Causal Inference Methods; (4) AI-Assisted Research and Ethics
The third topic is "Academic Writing & Publication Strategy", including:
(1) Structure of Top-Tier Papers; (2) Writing Research Contributions; (3) Reviewer Expectations & Common Pitfalls; (4) Publication Strategy & Revisions

Dr. Pei-yu Sharon Chen is the Red Avenue Foundation Professor and the Chair of the Department of Information Systems. She is also the founding director and co-director of the Center for AI and Data Analytics (AIDA) for Business and Society (aka the Mindful AI Center) at the W. P. Carey School of Business, Arizona State University. Prior to joining ASU, she served on the faculty at Tepper School of Business, Carnegie Mellon University and Fox School of Business, Temple University. She received her PhD from Wharton School of Business at the University of Pennsylvania.
Dr. Chen is a world renowned researcher and is named a Distinguished Fellow of INFORMS-Information Systems Society, which recognizes her outstanding intellectual contributions to the Information Systems Discipline. She was also an awardee of the Dean’s Distinguished Research Career Award at the W. P. Carey School of Business. Dr. Chen’s work has been published in leading business journals such as Management Science, Information Systems Research, MIS Quarterly, Operations Research, and Production and Operations Management. Many of Dr. Chen’s research has triggered industry interests and been implemented in practice. Dr. Chen has also worked with many corporate partners in research, in industries such as E-commerce, Education, Financial Services, Information Technology, Health Care, Manufacturing and Retailing.
Dr. Chen's recent research and work aim to ensure AI can better our lives, society and the world by focusing on responsible innovation, understanding AI's broader impacts, and mindfully applying AI and data analytics tools to advance business and enhance social welfare.
Professionally, Dr. Chen currently serves as Senior Editor for Information Systems Research. She also served as Associate Editor for Management Science from 2009-2025. She has also served as co-chair for several premier conferences/workshops and has been frequently invited as a speaker or panelist in premier conferences/workshops and at other leading research universities.

聯絡人: 台科大 資管系 周先生
電話: 02-2737-6774
email: [email protected]

備註：

1.限博士生選課。

2.暑期授課每班開班人數至少須達15人，並依規定繳交學分費。未達15人，開課停開，課程費用通知退回。

3.未依規定日期繳費者，逕予註銷選課記錄。繳費後，除課程停開外，不予退費。

台科大相關法規:

國立臺灣科技大學暑期開班授課要點：https://www.academic.ntust.edu.tw/var/file/48/1048/img/2557/806001379.pdf

國立臺灣科技大學114學年度學雜費標準：https://www.ntust.edu.tw/var/file/0/1000/img/3423/880332327.pdf

國立臺灣科技大學校際選課系統：https://interuniversity.ntust.edu.tw/