姜正瑞博士生导师

联系电话： 通讯地址： 南京市汉口路22号南京大学商学院营销与电子商务系 邮编：210093
电子邮件 ：zjiang@nju.edu.cn 系所 ：营销与电子商务系


个人简介
研究方向
教学方向
教学奖励
科研奖励
科研项目
出版专著
出版教材
发表论文
会议与工作论文
个人简介
姜正瑞，管理科学博士，南京大学商学院营销与电子商务系教授，二级教授，博士生导师。在2019年加入南大之前，任美国爱荷华州立大学（Iowa State University ）商学院的信息系统与商业分析教授和托米讲席教授。其主要研究领域是商务智能与大数据分析，研究特色是将管理学研究与计算机科学研究有效融合，在商业数据分析、机器学习、决策支持和科技创新扩散等方向做出了重要贡献，在国际顶级期刊如 Management Science, MIS Quarterly, Information Systems Research, IEEETransactions on Knowledge and Data Engineering 等发表十多篇论文。现为国际顶尖期刊Information Systems Research 的副主编和Production and Operations Management 的高级主编，曾任MIS Quarterly 副主编（2014-2017)，并获得该刊2016年最佳副主编奖。主持过多个国际和地区性的学术会议。作为项目主持人和主要参与人曾收到国家自然科学基金和美国国际开发署的资助。2019年被南京市委市政府授予“南京市高层次举荐人才（A类）”的荣誉称号。

姜正瑞教授的研究成果已被应用于企业、非盈利组织和政府支持的项目。过去几年中，他的团队为多家美国、欧洲和中国的国际知名大企业做过商业数据分析的工作，并为它们提供了基于数据的高效运营方案。

研究方向
商务智能/大数据分析
数据质量/不完美信息下的决策问题
科技创新采用及扩散
信息产品经济学


教学方向
1. 精准营销分析（本科）
2. 商业分析理论与方法（博士）


教学奖励

科研奖励

科研项目

出版专著

出版教材

发表论文
Feng, H., Z. Jiang, M. Li, and N. Feng. First-or Second-Mover Advantage: The Case of IT-Enabled Platform Markets. MIS Quarterly, Vol. 44, No. 3, September 2020, pp. 1107-1141.
Qu,X., Z. Jiang. A Time-Based Dynamic SynchronizationPolicy for Consolidated Database Systems.MIS Quarterly, Vol. 43, No. 4, December 2019, pp. 1041-1057.
Jiang, Z., X. Qu, D. C. Jain. OptimalMarket Entry Timing for Successive Generations of Technological Innovations. MIS Quarterly, Vol. 43, No. 3, September 2019, pp. 787-806.
Wang,M., Z. Jiang, Y. Zhang, H. Yang. T-closenessSlicing: A New Privacy Preserving Approach for Transactional Data Publishing. INFORMS Journal on Computing, Vol.30, No. 3, summer 2018, pp. 438-453.
Feng, H., Z. Jiang, D. Liu.Quality, Pricing, and Release Time: Optimal Market Entry Strategy for NewSoftware-As-A-Service Vendors. MIS Quarterly, Vol. 42, No. 1, March 2018, pp. 333-353.
Zong,W., F. Wu, Z. Jiang. A Markov-basedUpdate Policy for Constantly Changing Database Systems. IEEE Transactions on Engineering Management, Vol. 64, No. 3,August 2017, pp. 287-300.
Cai, Y., Z. Jiang, V. Mookerjee. How to Deal with Liars? Designing Intelligent Rule-Based Expert Systemsto Increase Accuracy or Reduce Cost. INFORMS Journal on Computing, Vol. 29, No. 2, March 2017, pp. 268–286.
Jiang, Z., K. P. Scheibe, S. Nilakanta, X. Qu.The Economics of Public Beta Testing. Decision Sciences, Vol. 48 No. 1, February 2017, pp. 150-175.
Jiang, Z., D. C. Jain. AGeneralized Norton-Bass Model for Multigeneration Diffusion. Management Science, Vol. 58 No. 10, October 2012, pp. 1887-1897.
Jiang, Z., S. Sarkar, V. S. Jacob. Post-Release Testing and Software Release Policy for Enterprise-Level Systems. Information Systems Research, Vol. 23, No. 3, Part 1 of 2, September 2012, pp. 635-657.
Jiang, Z. A Decision-Theoretic Framework for Numerical Attribute Value Reconciliation. IEEE Transactions on Knowledge and Data Engineering, Vol. 24, No. 7, July 2012, pp. 1153-1169.
Jiang, Z. How to Give away Software with Successive Versions. Decision Support Systems, Vol. 49, No. 4, November 2010, pp. 430-441.
Jiang, Z., S. Sarkar. Speed Matters: The Role of Free Software Offer in Software Diffusion. Journal of Management Information Systems, Vol. 26, No. 3, Winter 2010, pp. 207-239.
Jiang, Z., S. Sarkar, P. De and D. Dey. A Framework for Reconciling Attribute Values from Multiple Data Sources. Management Science, Vol. 53, No. 12, December 2007, pp. 1946-1963.
Jiang, Z., F. M. Bass, P. I. Bass. The Virtual Bass Model and the Left-Hand Data-Truncation Bias in Diffusion of Innovation Studies. International Journal of Research in Marketing, Vol. 23, No. 1, March 2006, pp. 93-106.
Jiang, Z., V. Mookerjee, S. Sarkar. Lying on the Web: Implications for Expert Systems Redesign. Information Systems Research, Vol. 16, No. 2, June 2005, pp. 131-148.


会议与工作论文
Jiang, Z., S. Sarkar, Optimal Software Release Time with Patching Considered. Proceeding of the 13th Workshop on Information Technology and Systems (WITS), Seattle, December 2003.
Jiang, Z., S. Sarkar. Free Software Offer and Software Diffusion: The Monopolist Case. Proceeding of the 24th International Conference on Information Systems (ICIS), Seattle,December 2003.
Jiang, Z., S. Sarkar, P. De and D. Dey. Reconciling Attribute Values from Multiple Data Sources. Proceeding of the 25th International Conference on Information Systems (ICIS),Washington DC, December 2004.
Jiang, Z. Reconciling Continuous Attribute Values from Multiple Data Sources. Proceedings of the Pacific Asia Conference on Information Systems (PACIS), Suzhou, China July 2008.
Jiang, Z. Optimal Free Offer Policy for Successive Software Versions. Proceedings of the 7th Workshop on e-Business (WEB), Paris, France, December 2008.
Jiang, Z. Taking Data Usage into Consideration in Data Integration. Proceedings of the 18th Annual Workshop on Information Technologies and Systems (WITS), Paris, France, December 2008.
Jiang, Z.Rethinking the Role of Public Beta Testing,” INFORMS Annual Meeting, Charlotte, North Carolina, October 2011.
Jiang, Z., K. Scheibe, and S. Nilakanta. The Economic Impact of Public Beta Testing: The Power of Word-Of-Mouth.” Proceeding of the 32nd International Conference on Information Systems (ICIS), Shanghai, China, December 2011.
Cai, Y., Z. Jiang, V.S. Mookerjee. Designing Intelligent Expert Systems to Cope with Liars. Proceeding of the 33rd International Conference on Information Systems (ICIS), Orlando, FL, December 2012.
Jiang, Z., D. C. Jain. Optimal Marketing Entry Timing for Successive Product Generations.”Proceeding of the 7th China Summer Workshop on Information Management (CSWIM), Tianjin, China, June 2013. (Best Paper Nomination)
Jiang, Z., D. Liu, D. C. Jain. Optimal Pricing Policy for Successive Product Generations.” Proceeding of the 7th China Summer Workshop on Information Management (CSWIM), Tianjin, China, June 2013.
Jiang, Z., D. Liu, F. Wu. A Generalized Pricing Model for Successive Product Generations. Proceedings of the 23rd Annual Workshop on Information Technologies and Systems (WITS), Milan, Italy, December 2013.
Zong, W., F. Wu, Z. Jiang, and Y. Qu. “A Study on Optimal Policy for Purchase Data Updating in ERP Systems.” International Conference on Data Science. Springer International Publishing. Sydney, Australia, August 2015.
Qu, X., Z., Jiang. Optimal Update Policy for Databases in Growth State. Proceedings of the 25th Annual Workshop on Information Technologies and Systems (WITS), Dallas, TX, December 2015.
Qu, X., Z., Jiang. “Purchase Prediction Based on Multilevel Association Rule Mining.”INFORMS Annual Conference, Nashville, TN, November 2016.
Jiang, S. Z. Jiang. “Examining Price Competition in Online Hotel Booking Market.” Winter Conference on Business Analytics, Snowbird, UT, March 2016.
Qu, X., Z., Jiang. “Purchase Prediction Based on Multilevel Association Rule Mining.”INFORMS Annual Conference, Nashville, TN, November 2016.
Qu, X., Z. Jiang. “A Time-Based Dynamic Update Policy for Consolidated Database Systems.”Winter Conference on Business Analytics, Snowbird, UT, March 2017.
Hu, Y., Z. Jiang, A. Rai, and H. Sun. “Does Online Real Estate Information Affect Property Price? Evidence from Zillow” INFORMS Annual Conference, Houston, TX, October 2017. (Best Paper Nomination).
Qu, X., A. Lotfi, Z. Jiang. “Understanding Customers’ Product Upgrade Behavior—A Survival Analysis Approach” INFORMS Conference on Information Systems and Technology (CIST), Houston, TX, October 2017.
Qu, X., A. Lotfi, Z. Jiang. “Predicting Consumers’ Update Behaviors in the Presence of Successive Product Versions” INFORMS Workshop on Data Science, Houston, TX, October 2017.
Qu, X., A. Lotfi, Z. Jiang. Product Upgrade Prediction Using Bass Proportional Hazard Model. Proceedings of the 27th Annual Workshop on Information Technologies and Systems (WITS), Seoul, South Korea, December 2017.
Lotfi, A., Z. Jiang, X., Qu. An Integrated Model of Pre-Release Adoption Commitments and Product-Line Level Aggregate Sales. 2018 INFORMS Workshop on Data Science (DS 2018), Phoenix, AZ, November 2018.
Qu, X., Z. Jiang, A. Lotfi. Predicting Time to Upgrade under Successive Product Generations: A Survival Model with Exponential-Decay Baseline Function. 2018 International Conference on Information Systems (ICIS), San Francisco, CA, December 2018.