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

Conference Proceedings

2023

ZHANG, D., H. ZHONG, J. YANG

Acqui-hiring or Acqui-quitting: Post-M&A Turnover Prediction via a Dual-fit Model

in Pacific Asia Conference on Information Systems (PACIS), Pacific Asia Conference on Information Systems (PACIS), 2023, Changsha, China

Conference Proceedings

2023

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

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

in International Conference on Information Systems (ICIS), Association for Information Systems, 2023, Hyderabad, India

Conference Proceedings

2023

ZHONG, H., C. LIU

Career Path Clustering via Sequential Job Embedding and Mixture Markov Models

in Pacific Asia Conference on Information Systems (PACIS), Association for Information Systems, 2023, Changsha, China

Conference Proceedings

2023

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

Decision Aggregation with Reliability Propagation

in Pacific Asia Conference on Information Systems (PACIS), Association for Information Systems, 2023, Changsha, China

ESCP Impact Papers

2023

BENYAYER, L. -D., H. ZHONG

Embracing AI-human collaboration: The key to unlocking new sources of competitive advantages

2023, ESCP Impact Papers

Conference Proceedings

2023

ZHONG, H., C. LIU

Firm Profiling and Competition Assessment: A Heterogeneous Occupation Network–based Approach

in Hawaii International Conference on System Sciences (HICSS), University of Hawaii at Manoa, 2023, Honolulu, United States

Conference Proceedings

2022

ZHANG, D., H. ZHONG, J. YANG

Acqui-hiring or Acqui-quitting: Data-Driven Post-M&A Turnover Prediction via a Dual-fit Model

in Conference on Information Systems and Technology (CIST), Conference on Information Systems and Technology (CIST), 2022, Indianapolis, United States

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