[1] |
Chao Fang,Yajing Hu,Weibo Zheng,Gengzhong Feng.
Dynamic Selection of New Product Development Project Portfolio Based on Online Learning with Uncertain Revenue Information
[J]. Chinese Journal of Management Science, 2024, 32(6): 151-162.
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[2] |
Xinnan Lei,Lefan Lin,Binqing Xiao,Honghai Yu.
Re-exploration of Small and Micro Enterprises' Default Characteristics Based on Machine Learning Models with SHAP
[J]. Chinese Journal of Management Science, 2024, 32(5): 1-12.
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[3] |
Song Shi,Ping Shi.
Research on Supply Disruption of Epidemic Prevention Products Considering Product Competition and Social Learning under COVID-19
[J]. Chinese Journal of Management Science, 2024, 32(5): 171-178.
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[4] |
Xiao Zhang,Xiang Xu,Yan Zhang,Fang Fang.
Retailer Product Differentiation Strategy Analysis Based on Consumer Learning Behavior under the Showrooming Phenomenon
[J]. Chinese Journal of Management Science, 2024, 32(4): 198-207.
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[5] |
Jun Wang, Wenkang Ma, Xinman Lu.
Intertemporal Pricing Strategy Considering Cost Information Transparency and Learning Effect
[J]. Chinese Journal of Management Science, 2024, 32(2): 11-22.
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[6] |
Yuting Yan,Wenjie Bi.
A Data-driven Single-Period Newsvendor Problem Based on XGBoost Algorithm
[J]. Chinese Journal of Management Science, 2024, 32(1): 260-267.
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[7] |
GAO Xiao-hui, ZHOU Kun, LI Lian-shui.
Hybrid Air Quality Early Warning System Based on XGBoost and ELM: A Case Study of Nanjing
[J]. Chinese Journal of Management Science, 2023, 31(5): 269-278.
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[8] |
OUYANG Lin-han, TAO Bao-ping, MA Yan.
Research on Quality Prediction Based on Gaussian Process Model with Selective Ensemble Kernel
[J]. Chinese Journal of Management Science, 2023, 31(3): 69-80.
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[9] |
CHEN Guo-quan, WANG Jing-yi, LIN Yan-ling, LIU Wei, ZHOU Qi-wei, XU Fen.
A Study on the Model of Multi-individual Learning from Experience: From the Perspective of Matching between Information and Analytic Method
[J]. Chinese Journal of Management Science, 2023, 31(3): 259-267.
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[10] |
LIANG Mo, LI Hong-xiang, ZHANG Shun-ming.
A Measure for Financial Distress based on ST Predictive Model and the Cross-section of Stock Returns
[J]. Chinese Journal of Management Science, 2023, 31(2): 138-149.
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[11] |
Jiang-ze DU,Xi-zhuo CHEN,Le-an YU.
Can Executives with IT Background Promote FinTech Innovation?
[J]. Chinese Journal of Management Science, 2023, 31(12): 69-78.
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[12] |
Peng ZHANG,Shi-li DANG,Mei-yu HUANG,Jing-xin LI.
Two-stage Mean Semi-variance Portfolio Optimization with Stock Return Prediction Using Machine Learning
[J]. Chinese Journal of Management Science, 2023, 31(12): 96-106.
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[13] |
Dong-xiao NIU,Zhuo-ya SIQIN,Dong-yu WANG,Xiao-min XU,Huan-fen ZHANG.
Method and Application of Multi-value Chain Collaborative Data Mining in Power Equipment Enterprises Based on Deep Learning
[J]. Chinese Journal of Management Science, 2023, 31(11): 321-331.
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[14] |
Jian ZHANG,Ting-yu XIE,Peng PENG,Hong-wei WANG.
Research on the Correlation between Product Knowledge Attributes and Sales Forecast in Multi-Value Chain Collaborative Data Space of Manufacturing Industry
[J]. Chinese Journal of Management Science, 2023, 31(11): 341-348.
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[15] |
Yi FENG,Du-juan WANG,Zhi-neng HU,Shao-ze CUI.
Prediction Method for Gastric Cancer Survivability Based on an Improved LightGBM Ensemble Model
[J]. Chinese Journal of Management Science, 2023, 31(10): 234-244.
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