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

1.      精准营销分析（本科）

2.      商业分析理论与方法（博士）

2012：爱荷华州立大学优秀青年科研奖

2012-2019：爱荷华州立大学托米讲席教授

2016：MIS Quarterly 年度最佳副主编

2019：南京市高层次举荐人才（A类）

2021：江苏省“双创”杰出人才

2021：Information Systems Research 年度最佳副主编

2021: CSWIM 2021最佳会议论文亚军奖

1. Lotfi, A., Z. Jiang, J. Naoum-Sawaya, M. A. Begen. “Modeling Sales of Multigeneration Technology Products in the Presence of Frequent Repeat Purchases: A Fractional Calculus-Based Approach.” Production and Operations Management, forthcoming.

2. Jiang, Z. A. Rai, H. Sun, C. Nie, Y. Hu. How Does Online Information Influence Offline Transactions: Insights from Digital RealEstate Platforms. Information Systems Research, forthcoming.

3. Lotfi, A., Z. Jiang, A. Lotfi, D. Jain. Estimating Lifecycle Sales of Technology Products with Frequent Repeat Purchases: A Fractional Calculus-Based Approach. Information Systems Research, Vol. 34, No. 2, June 2023, pp. 409-422.

4. Qu, X., A. Lotfi, D. Jain, Z. Jiang. Predicting Upgrade Timing for Successive Product Generations: An Exponential-Decay Proportional Hazard Model. Production and Operations Management, Vol. 31, No. 5, May 2022, pp. 2067-2083.

5. 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.

6. Qu,X., Z. Jiang. A Time-Based Dynamic Synchronization Policy for Consolidated Database Systems. MIS Quarterly, Vol. 43, No. 4, December 2019, pp. 1041-1057.

7. Jiang, Z., X. Qu, D. C. Jain. Optimal Market Entry Timing for Successive Generations of Technological Innovations. MIS Quarterly, Vol. 43, No. 3, September 2019, pp. 787-806.

8. Wang,M., Z. Jiang, Y. Zhang, H. Yang. T-closeness Slicing: A New Privacy Preserving Approach for Transactional Data Publishing. INFORMS Journal on Computing, Vol.30, No. 3, summer 2018, pp. 438-453.

9. Feng, H., Z. Jiang, D. Liu. Quality, Pricing, and Release Time: Optimal Market Entry Strategy for New Software-As-A-Service Vendors. MIS Quarterly, Vol. 42, No. 1, March 2018, pp. 333-353.

10. Zong,W., F. Wu, Z. Jiang. A Markov-based Update Policy for Constantly Changing Database Systems. IEEE Transactions on Engineering Management, Vol. 64, No. 3,August 2017, pp. 287-300.

11. 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.

12. 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.

13. Jiang, Z., D. C. Jain. A Generalized Norton-Bass Model for Multigeneration Diffusion. Management Science, Vol. 58 No. 10, October 2012, pp. 1887-1897.

14. 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.

15. 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.

16. Jiang, Z. How to Give away Software with Successive Versions. Decision Support Systems, Vol. 49, No. 4, November 2010, pp. 430-441.

17. 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.

18. 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.

19. 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.

20. 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.

1. 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.

2. 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.

3. 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.

4. Jiang, Z. Reconciling Continuous Attribute Values from Multiple Data Sources. Proceedings of the Pacific Asia Conference on Information Systems (PACIS), Suzhou, China July 2008.

5. Jiang, Z. Optimal Free Offer Policy for Successive Software Versions. Proceedings of the 7th Workshop on e-Business (WEB), Paris, France, December 2008.

6. 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.

7. Jiang, Z.Rethinking the Role of Public Beta Testing,” INFORMS Annual Meeting, Charlotte, North Carolina, October 2011.

8. 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.

9. 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.

10. 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)

11. 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.

12. 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.

13. 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.

14. 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.

15. Qu, X., Z., Jiang. “Purchase Prediction Based on Multilevel Association Rule Mining.”INFORMS Annual Conference, Nashville, TN, November 2016.

16. Jiang, S. Z. Jiang. “Examining Price Competition in Online Hotel Booking Market.” Winter Conference on Business Analytics, Snowbird, UT, March 2016.

17. Qu, X., Z., Jiang. “Purchase Prediction Based on Multilevel Association Rule Mining.”INFORMS Annual Conference, Nashville, TN, November 2016.

18. Qu, X., Z. Jiang. “A Time-Based Dynamic Update Policy for Consolidated Database Systems.”Winter Conference on Business Analytics, Snowbird, UT, March 2017.

19. 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).

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. Lotfi, A., X.S. Qu, Z. Jiang. Modeling Multichannel Digital Advertising Influence in the Presence of Product Adoption. INFORMS Conference on Information Systems and Technology (CIST), Seattle, WA, October 2019.

26. Lotfi, A. X.S. Qu, Z. Jiang. Modeling the Effectiveness of Online Advertising: A Multichannel Attribution Model. INFORMS Workshop on Data Science, Seattle, WA, October 2019.

27. Jia, Q., X. Qu, Z. Jiang. A Dynamic Patching Policy for Enterprise Information Systems. 14th China Summer Workshop on Information Management (CSWIM 2021), Chongqing, China. Best Workshop Paper Runner-up.

28. Guo, R., Z. Jiang. Optimal Dynamic Advertising Policy Based on Generalized Advertising Gains. 14th China Summer Workshop on Information Management (CSWIM 2021), Chongqing, China.

    
    

姜正瑞教授目前已经离职南京大学，其联系信息可以由网络搜索获得。