郝金星，香江学者、教授、博士生导师，新一代智慧供应链联合研究中心负责人，Journal of Travel Research编委，Electronic Commerce Research 副主编。获教育部高校科研优秀成果奖一等奖、工业和信息化优秀研究成果一等奖。研究方向：知识和创新管理、大数据管理、智慧旅游管理。

学习/工作经历：

2004 至 2008, City University of Hong Kong, Information Systems, 博士

2001 至 2004, 武汉大学, 情报学, 硕士

1997 至 2001, 武汉大学, 计算机科学与技术/信息管理与信息系统, 双学士

主要科研项目：

2020 – 2023 国家自然科学基金，大数据环境下旅游心理所有权和知识共创纠缠演化研究

2021 – 2023 教育部产学合作协同育人项目，人工智能驱动的经济管理产学合作实践基地

2020 – 2024 数势云创科技有限公司，新一代智慧供应链关键技术研究

2015 – 2019 国家自然科学基金，智慧旅游目的地营销概念构图方法与应用

2014 – 2016 北京市自然科学基金，知识资本主导下的北京智慧旅游服务管理开放创新模式研究

2014 – 2016 北京市社会科学基金，基于Living Lab的北京智慧旅游服务创新研究

2012 – 2014 国家自然科学基金，基于概念地图的知识集成建模方法与应用研究

主要期刊论文：

1.Hao, J.-X., Fu, Y., Hsu, C., Li, X. (Robert), & Chen, N. (2020). Introducing News Media Sentiment Analytics to Residents’ Attitudes Research. Journal of Travel Research, 59(8), 1353–1369. https://doi.org/10.1177/0047287519884657

2.Hao, J.-X., Wang, R., Law, R., & Yu, Y. (2021). How do Mainland Chinese tourists perceive Hong Kong in turbulence? A deep learning approach to sentiment analytics. International Journal of Tourism Research, 23(4), 478–490. https://doi.org/10.1002/jtr.2419

3.Wang, R., Hao, J.-X., Wang, C., Tang, X., & Yuan, X. (2020). Embodied CO2 emissions and efficiency of the service sector: Evidence from China. Journal of Cleaner Production, 247, 119116. https://doi.org/10.1016/j.jclepro.2019.119116

4.Zhang, R., Wang, J., & Hao, J.-X. (2020). How does knowledge heterogeneity affect transactive memory system in innovation? Evidence from a field study. Journal of Knowledge Management, 24(8), 1965–1985. https://doi.org/10.1108/JKM-01-2020-0008

5.Fu, Y., Hao, J.-X., Li, X. (Robert), & Hsu, C. H. C. (2019). Predictive Accuracy of Sentiment Analytics for Tourism: A Metalearning Perspective on Chinese Travel News. Journal of Travel Research, 58(4), 666–679. https://doi.org/10.1177/0047287518772361

6.Wang, J., Luo, Y., Hao, J.-X., Ding, L., & Zhang, R. (2019). Who are influential in Q&A communities? A measure of V-Constraint based on knowledge diffusion capability. Journal of Information Science, 45(4), 488–501. https://doi.org/10.1177/0165551518800411

7.Wang, J., Zhang, R., Hao, J.-X., & Chen, X. (2019). Motivation factors of knowledge collaboration in virtual communities of practice: A perspective from system dynamics. Journal of Knowledge Management, 23(3), 466–488. https://doi.org/10.1108/JKM-02-2018-0061

8.Wang, R., Hao, J.-X., Law, R., & Wang, J. (2019). Examining destination images from travel blogs: A big data analytical approach using latent Dirichlet allocation. Asia Pacific Journal of Tourism Research, 24(11), 1092–1107. https://doi.org/10.1080/10941665.2019.1665558

9.Westland, J. C., Hao, J. X., Xiao, X., & Shan, S. (2016). Substitutes, complements and network effects in instant messaging services. Networks and Spatial Economics, 16(2), 525–543. https://doi.org/10.1007/s11067-015-9287-5

10.Hao, J.-X., Yu, Y., Law, R., & Fong, D. K. C. (2015). A genetic algorithm-based learning approach to understand customer satisfaction with OTA websites. Tourism Management, 48, 231–241. https://doi.org/10.1016/j.tourman.2014.11.009

11.Fu, Y., Jia, S., & Hao, J. (2015). A scalable cloud for internet of things in smart cities. Journal of Computers, 26(3), 63–75.

12.Yu, Y., Dong, X.-Y., Shen, K. N., Khalifa, M., & Hao, J.-X. (2013). Strategies, technologies, and organizational learning for developing organizational innovativeness in emerging economies. Journal of Business Research, 66(12), 2507–2514. https://doi.org/10.1016/j.jbusres.2013.05.042

13.Du, H. S., Hao, J.-X., Kwok, R. C.-W., & Wagner, C. (2010). Can a lean medium enhance large-group communication? Examining the impact of interactive mobile learning. Journal of the American Society for Information Science and Technology, 61, 2122–2137.

14.Hao, J.-X., Kwok, R. C.-W., Lau, R. Y.-K., & Yu, A. Y. (2010). Predicting problem-solving performance using concept map: An Information-Theoretic Approach. Decision Support Systems, 48, 613–621.

15.Lau, R. Y.-K., Song, D., Li, Y., Cheung, T., & Hao, J.-X. (2009). Toward a fuzzy domain ontology extraction method for adaptive e-Learning. IEEE Transactions on Knowledge and Data Engineering, 21, 800–813.

16.Xu, Y., Guo, X., Hao, J.-X., Ma, J., Lau, R. Y.-K., & Wei, X. (2012). Combining social network and semantic concept analysis for personalized academic researcher recommendation. Decision Support Systems, 54(1), 564–573.

17.Wang, G., Hao, J., Ma, J., & Jiang, H. (2011). A comparative assessment of ensemble learning for credit scoring. Expert Systems with Applications, 38(1), 223–230. https://doi.org/10.1016/j.eswa.2010.06.048

18.Wang, G., Hao, J.-X., Ma, J., & Huang, L. H. (2010). A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering. Expert Systems with Applications, 37, 6225–6232.

19.Pong, J., Kwok, R. C.-W., Lau, R. Y.-K., Hao, J.-X., & Wong, P. (2008). A comparative study of two automatic web document classification methods in a library setting. Journal of Information Science, 34, 213–230.