Conference Proceedings

2026

MASI, P., H. ZHONG, C. LIU, Y. LIU

Herding Toward AI: How following the trend affects firm investments?

in Americas Conference on Information Systems (AMCIS), Americas Conference on Information Systems (AMCIS), 2026, Reno, United States

Journal Article

2025

BENYAYER, L.-D., H. ZHONG

How To Translate AI Potential Into Corporate Profitability

THE EUROPEAN BUSINESS REVIEW, 2025

Journal Article

2025

ZHONG, H., C. LIU, C. WU

Uncovering IT Career Path Patterns with Job Embedding-based Sequence Clustering

ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS, 2025, vol. 16 (2), pp. 1-32

Conference Proceedings

2025

XU, D., J. YANG, H. ZHONG, X. LI

Who Thrives, Who Stays? Predicting Talent Potential from Level-Aware Career Moves

in International Conference on Information Systems (ICIS), International Conference on Information Systems (ICIS), 2025, Nashville, United States

Conference Proceedings

2024

ZHONG, H., Z. YUAN, D. ZHANG, Y. DRAGON JIANG, S. ZHANG, H. XIONG

AlphaVC: A Reinforcement Learning-based Venture Capital Investment Strategy

in Hawaii International Conference on System Sciences (HICSS), Hawaii International Conference on System Sciences (HICSS), 2024, Honolulu, United States

ESCP Impact Papers

2024

BENYAYER, L. -D., H. ZHONG

Beyond automation: Crafting a future where AI augments, not replaces

2024, ESCP Impact Papers

Conference Proceedings

2024

ZHANG, S., H. ZHONG, Y. GE, H. XIONG

Bring Me a Good One: Seeking High-potential Startups using Heterogeneous Venture Information Networks

in Hawaii International Conference on System Sciences (HICSS), Hawaii International Conference on System Sciences (HICSS), 2024, Honolulu, United States

Journal Article

2024

ZHONG, H., Y. CHEN, C. LIU, H. BENSON

Decision aggregation with reliability propagation

DECISION SUPPORT SYSTEMS, 2024, vol. 178, pp. 114130

Journal Article

2024

ZHONG, H., C. LIU

Firm profiling and competition assessment: A design science approach

INFORMATION AND MANAGEMENT, 2024

Journal Article

2024

BENYAYER, L. -D., H. ZHONG

Pour une intelligence artificielle générative qui augmente plus qu'elle ne remplace

ECHOS (LES), 2024

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