Ajung Heo | Social Sciences | Best Researcher Award

Ms. Ajung Heo | Social Sciences | Best Researcher Award

Sogang University | South Korea

Ajung Heo is a dedicated researcher and Ph.D. candidate at Sogang University Business School, focusing on international business and cross-cultural management. She holds an M.A. in Business Administration from Pusan National University and a B.A. in Management from the City University of New York. Her research explores how digital strategies, innovation appropriability, and organizational behavior influence the competitiveness and international expansion of multinational enterprises. Ajung Heo’s publications, including “Search better, export stronger: the role of appropriability and digital strategy in South Korea,” highlight her contributions to understanding global business dynamics. She has also engaged in collaborative projects that integrate theory with practice, fostering innovation and managerial relevance. Her academic excellence and commitment to global research advancement have earned her recognition as a promising scholar in international business studies. Through her work, she continues to bridge research and real-world application, contributing valuable insights to global enterprise development and sustainable business practices.

Profile : Google Scholar 

Featured Publications

Heo, A.-j., & Yoo, C.-y. (2024). The impact of entrepreneurial orientation on export performance: The moderating effects of exploratory and exploitative activities. Journal of Trade Studies, 49(4), 295–319.

Heo, A.-j., Yoo, D.-b., & Ham, S.-h. (2025). The impact of talent-preferential policies on organizational commitment: The moderated mediating effects of job satisfaction and rational organizational culture. Journal of Management Research, 40(1), 103–122.

Heo, A.-j., Yoo, C.-y., & Lee, K.-p. (2025). A study on dual organizational identity among local employees of multinational corporation subsidiaries in Korea. Journal of Management Studies, 54(1), 55–80.

Yoo, C.-y., Park, Y.-s., & Heo, A.-j. (2024). Organizational staffing policy and organizational identification of host country nationals working at MNC subsidiary in Korea. Journal of International Trade and Commerce, 17–32.

Heo, A.-j., Lee, K.-p., & Yoo, C.-y. (2024). An exploratory study on the dual organizational identity of local employees of multinational corporation subsidiaries. Proceedings of the Korean Management Association Convergence Conference, 384–410.

Younggun Kim | Social Sciences | Best Researcher Award

Mr. Younggun Kim | Social Sciences | Best Researcher Award

Sogang University | South Korea

Younggun Kim is a dedicated Ph.D. candidate in Management at Sogang University, South Korea, specializing in strategic human resource management and organizational behavior. His academic journey reflects a strong focus on understanding how digital transformation and artificial intelligence reshape modern management practices. With an emerging research profile, he has published several SSCI and ESCI-indexed journal papers, including “Search better, export stronger: the role of appropriability and digital strategy in South Korea” and “The appropriability paradox: how innovation protection moderates entrepreneurial orientation’s impact on international expansion. Younggun actively collaborates with academic peers, such as Jang-Ho Choi and Ajung Heo, to explore boundaryless career behaviors and the impact of job crafting on employee success. He is a member of both the Academy of Management (AOM) and The Korean Academic Society of Business Administration (KASBA). His ongoing doctoral work examines how organizational factors and employment types influence employee engagement in the evolving digital economy. Through his innovative research, Younggun aims to contribute to the effective integration of digital and AI strategies into HRM, particularly supporting small and medium-sized enterprises worldwide.

Profile : Google Scholar 

Featured Publications

Lee, G., Kim, Y., & Choi, J.-H. (2024). The effect of ethical leadership on ethical voice behavior of public institution members: Focused on the moderated mediation effect of psychological ownership and reflective moral attentiveness. Journal of Ethical Management, 24(1), 31–58.

Heo, A. J., & Kim, Y. (2025). The appropriability paradox: How innovation protection moderates entrepreneurial orientation’s impact on international expansion. Review of International Business and Strategy.

Kim, Y., Lee, K., & Choi, J.-H. (2025). Exploring boundaryless careerists inside organizations: The role of job crafting and work engagement to subjective career success. The Career Development Quarterly.

Kim, Y. (2025). Search better, export stronger: The role of appropriability and digital strategy in South Korea.

Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Prof. Suk-Ju Kang | Computer Science and Artificial Intelligence | Best Researcher Award 

Sogang University | South Korea

Prof. Suk-Ju Kang is a distinguished Professor in the Department of Electronic Engineering at Sogang University, Seoul, Korea, specializing in visual computing, computer vision, and artificial intelligence. His research spans image synthesis and restoration, real-time 2D/3D human and hand pose estimation, and industrial AI applications such as anomaly detection and remaining useful life prediction. Prior to joining Sogang University in 2015, he served as Assistant Professor at Dong-A University and worked as a Senior Research Engineer at LG Display, contributing to advanced display technologies. He earned his Ph.D. in Electrical Engineering from POSTECH under the supervision of Dr. Young Hwan Kim, and his B.S. in Electronic Engineering from Sogang University. Prof. Kang has authored over 209 peer-reviewed publications, which have collectively garnered over 2,143 citations with an h-index of 25, reflecting his global research impact. He has been recognized with numerous honors, including the 2025 Haedong Best Paper Award, multiple Samsung Best Paper Awards (2023, 2024), the 2022 Merck Young Scientist Award, and the 2020 Young Researcher Award from The Korean Institute of Broadcast and Media Engineers. He also plays an active leadership role in academia, serving as Chairman of the AI and Computational Technology Society for Display, Chairman of the Image Processing Research Society, and Organizing Committee Chair for major international conferences such as ITC-CSCC and AISPC.

Profiles: Scopus | Google Scholar

Featured Publications

“Luminance Compensation for Stretchable Displays Using Deep Visual Feature-Optimized Gaussian-Weighted Kernels.” Journal of the Society for Information Display, 2025.

“DGTFNet: Depth-Guided Tri-Axial Fusion Network for Efficient Generalizable Stereo Matching.” IEEE Robotics and Automation Letters, 2025.

“CRAN: Compressed Residual Attention Network for Lightweight Single Image Super-Resolution.” IEEE Signal Processing Letters, 2025.

“Supervised Denoising for Extreme Low-Light Raw Videos.” IEEE Transactions on Circuits and Systems for Video Technology, 2025.

“Query-Vector-Focused Recurrent Attention for Remaining Useful Life Prediction.” IEEE Transactions on Reliability, 2025.