Research output per year
Research output per year
Personal profile
Research Interests
- Big Data in the application of business
- Talent Analytics
Personal profile
Dr Qingxin Meng is currently an assistant professor in the business school of the University of Nottingham Ningbo China. She received her Ph.D. in the Department of Management Science and Information Systems at Rutgers - The State University of New Jersey, USA. She received her B.E. degree in Mechanical Engineering from the University of Science and Technology of China (USTC), Hefei, China. Her general areas of research are data mining, people analytics with the application in intelligent talent management. She focuses on developing efficient and effective data-driven techniques for addressing various challenges in talent management. She has published various research papers including a paper in the prestige ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
Teaching
Undergraduate
- Introduction to the Data Science: Big Data Analytics in Business (Lab) （UNNC）
- Business Research Methods (Rutgers)
Postgraduate
- Accounting Analytics (co-teaching) (UNNC)
Person Types
- Staff
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Monetary income as opportunity cost: exploring the negative effect on free knowledge contribution of knowledge suppliers
Jiang, S., Nguyen, D. K., Dai, P. F. & Meng, Q., 4 Mar 2024, In: Journal of Knowledge Management. 28, 2, p. 440-462 23 p.Research output: Journal Publication › Article › peer-review
3 Citations (Scopus) -
Firm connection and equity return predictability – Evidence from China
WU, M., Huang, W., Liu, X. & Meng, Q., 2023, (In preparation) 2023 XJTLU AI and Big Data in Accounting and Finance Research Conference and the BAR special issue.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Heterogeneous Networks and Startups' Subsequent Financing: Theorization Based on Machine Learning
CAO, R., Meng, Q. & Chen, J., 2023, (Published Online) Annual Meeting of the Academy of Management (AOM). New York: Academy of ManagementResearch output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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HETEROGENEOUS NETWORKS AND STARTUPS’ SUBSEQUENT FINANCING: THEORIZATION BASED ON MACHINE LEARNING
Cao, R., Meng, Q. & Chen, J., 2023, In: Academy of Management Proceedings. 2023, 1Research output: Journal Publication › Conference article › peer-review
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Preference-Constrained Career Path Optimization: An Exploration Space-Aware Stochastic Model
Guo, P., Xiao, K., Zhu, H. & Meng, Q., 2023, Proceedings - 23rd IEEE International Conference on Data Mining, ICDM 2023. Chen, G., Khan, L., Gao, X., Qiu, M., Pedrycz, W. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 120-129 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)