The 33rd Asia-Pacific Conference on Finance, Economics, Accounting, and Management (APCFEAM) was successfully held at the College of Business, Chung Yuan Christian University (CYCU), on June 13–14, 2025. The conference featured renowned speakers from prestigious U.S. universities and attracted scholars from around the globe.
Faculty and students from our Ph.D. Program in Business actively participated in the event. In addition to current students, alumni from Indonesia and Pakistan also returned to join the conference. Attendees had the valuable opportunity to hear from international experts and engage in academic exchange with scholars from various countries.
Out of the 70 papers selected for presentation at the conference, six were from students and alumni of our program—an impressive showing that demonstrates the program’s strong research capacity and global competitiveness.
Selected Paper Presentations from our Ph.D. Program in Business:
No. | Status | Name | Nationality | Paper Title | Advisor |
1 | 2nd-Year Ph.D. Student | Ming-Yung Chen | Taiwan | Application of AI-empowered Intrusion Prevention Systems in Cybersecurity for Multinational Enterprises | Cheng-Wen Lee |
2 | 1st-Year Ph.D. Student | Muhammad Tharmizi Junaid | Indonesia | Exploring the Impact of Ownership Structure, Corporate Governance, Capital Structure, and Profitability on Dividend Policy: A Comprehensive Analysis | Cheng-Wen Lee |
3 | 1st-Year Ph.D. Student | Hong Huan Wu | Vietnam | Factors Impacting the Shift from Gold to Digital Assets: An Empirical Analysis in Viet Nam | Cheng-Wen Lee |
4 | 1st-Year Ph.D. Student | Dodi Apriadi | Indonesia | Consumer Behavior of Students in the Digital Era: Mobile Banking, Social Media, and the Moderating Effect of Financial Literacy | Cheng-Wen Lee |
5 | Alumnus | Boedi Hartadi Kuslina | Indonesia | The Interplay between Political Connections, ESG, and Tax Avoidance: Insights from Indonesia | — |
6 | Alumnus | Hussain Sabbor | Pakistan | The Impact of Macroeconomic Indicators on Utility ETF: A Grey Relational Analysis–Machine Learning Approach | Jo-Hui Chen |
















