2026 Workshop on Organizational Research Methods (2026/12/26, 28-30)

📚【From Research Design to Empirical Analysis: Advancing Organizational Research Methods】✍️

As research questions in organizational and management studies become increasingly diverse and complex, selecting appropriate analytical methods and enhancing the rigor of research design and empirical analysis have become essential for researchers seeking to advance their work.

The 2026 Workshop on Organizational Research Methods features Prof. Wai Hung (Gordon) Cheung from the Management & International Business Department, University of Auckland.

On December 22 and 26, One-on-One Paper Development sessions will be held at National Taiwan University and National Sun Yat-sen University, respectively, to provide individualized feedback and recommendations for research and manuscript development.

From December 28 to December 30, the three-day workshop will cover measurement equivalence/invariance, moderation and moderated mediation, and multilevel modeling and daily diary data analysis, with hands-on applications using R and lavaan.

📌One-on-One Paper Development

These one-on-one sessions are designed to support researchers preparing manuscripts for submission to the 2027 Academy of Management (AOM) Annual Meeting, providing individualized feedback and recommendations for research and manuscript development.

🗓️ Session Dates and Capacity:

• December 22 (Tuesday)｜Room 916, 9F, Building 1, College of Management, National Taiwan University (6 slots, an additional session on December 23 will be added if there is strong registration demand.)
• December 26 (Saturday)｜Room CM1038, 1F, College of Management, National Sun Yat-sen University (6 slots)

💡Eligibility, Session, and Selection Criteria:

• Full papers employing quantitative research methods are eligible. Papers using structural equation modeling (SEM) will be given priority.
• Each selected participant will have a 60-minute face-to-face consultation. Individual session times will be announced separately.
• Selected participants must submit their full manuscript by December 5, 2026 (Saturday).

🔗Registration: Please complete the registration form https://forms.gle/iK4miSn9eJfpyPNaA by November 6 (Friday).

📌Organizational Research Methods Workshop (SEM Workshop)

Centered on advanced applications of structural equation modeling (SEM), the workshop provides hands-on training using R and introduces important analytical methods and related packages currently used in quantitative research. Participants will strengthen both their methodological knowledge and practical analytical skills.

• Dates: December 28 (Monday)–December 30 (Wednesday), 2026
• Time: 09:30–16:30 (including a one-hour lunch break)
• Venue: Room CM1037, 1F, College of Management, National Sun Yat-sen University
• Topics:

1. December 28 – Testing Measurement Equivalence/Invariance with R
2. December 29 – Examining Moderation and Moderated Mediation with R
3. December 30 – Examining Multilevel Modeling and Analyzing Daily Diary Data with lavaan

• Registration: Please complete the registration form https://forms.gle/mVQ5mTyK8cJbFkWX8 by December 4 (Friday).
• Additional Information:
  • Lunch boxes will be provided from December 28 to 30 and are available exclusively to registered participants.
  • Please ensure you have a laptop available with the R software environment and required packages installed prior to the commencement of the course.
  • Pre-Workshop Readings: https://sites.google.com/view/orgresearch-methods/menu/syllabus-course-materials

ℹ️If you have any question, please contact us.
+8867-525-2000 ext. 4546 / hrcenter6@gmail.com

Organizers: College of Management, National Sun Yat-sen University; Center for Strategy and Human Capital Research, National Sun Yat-sen University; Department of Business Administration, National Taiwan University; Institute of Business and Management, National Yang Ming Chiao Tung University
Co-organizers: National Science and Technology Council; Taiwan Academy of Management
Sponsor: E.SUN Cultural Foundation