郑志强，宾夕法尼亚大学沃顿商学院信息系统管理博士，目前担任得克萨斯大学达拉斯分校信息系统和金融学双聘教授。其专业领域着眼于应用商业分析，包括医疗分析、社交媒体分析和金融分析。郑教授曾在《管理科学》、《信息系统研究》、《管理信息系统季刊》等一流学术期刊中发表过一系列有关商业分析的论文。郑教授最近四年来（2012年至2016年）在顶级学术期刊中发表的论文数量在信息系统学者中名列全球前十。

2003-2006 加州大学河滨分校 助理教授
2006-2009 得克萨斯大学达拉斯分校 助理教授
2009-2014 得克萨斯大学达拉斯分校 副教授
2011秋季起 卡内基梅隆大学海因茨学院 客座副教授
2012春季 上海交通大学 客座副教授
2015-2018 得克萨斯大学达拉斯分校 金融学教授
2017-2018 上海交通大学 访问教授
2018-至今 得克萨斯大学达拉斯分校 阿什贝尔·史密斯教授

大数据驱动的商业分析(方法和应用)
1.社交媒体分析(分享经济、意图挖掘、意见操纵)
2.医疗分析(减少医疗废物，风险预测，可穿戴设备)
3.金融分析(金融科技，区块链，众筹，高频交易)

[高级编辑]
Information Systems Research SE 2017-2019
ISR Special Issue Editor on “Fintech” Editor 2018-2019
JMA Special Issue Editor on “Blockchain” Editor 2018
[副主编]
Informs Journal on Computing AE 2013-2017
Information Systems Research AE 2010-2014
Journal of E-commerce Research AE Since 2006
Journal of management Analytics (JMA) AE Since 2013
[MIS Quarterly] ad-hoc AE 2015-2017
[JMA] special issue editor 2014-2015
Production and Operations Management special issue SE 2015-2016
MIS Quarterly special issue AE 2015, 2017
[委员会会员]
Officer for Informs e-Business Community 2009-2010
Member for AIS, ISS& Informs Since 2003
[会议主席，AE和PC成员]
ICIS 2019 Track “Blockchain and Fintech” Track Chair 2019
ICSH 2018 Program Chair 2018
Informs Workshop on Data Science Founding Chair 2017

[Major Journal Publications (In the List of UTD 24 Top Business Journals)]
1. Li, Y., Xie, Y., Zheng Z. 2018. “Modeling Multi-Channel Advertising Attribution across Competitors”, MIS Quarterly，Forthcoming.
2. Yang, M., Zheng, Z., Mookerjee, V. 2018. “Prescribing Response Strategies to Manage Customer Opinions: A Stochastic Differential Equation Approach”, Information Systems Research, Forthcoming.
3. Oh, C., Zheng, Z., Bardhan I. 2018. "Sooner or Later? An Integrated Analysis of Health Information Technology, Length of Stay and Readmission Risk", Production and Operations Management, 27 (11), 2038-2053. (Nominated for the best paper at CIST 2013)
4. Ayabkan, S., Bardhan, I., Zheng, Z., Kirksey K. 2017."The impact of health information sharing on duplicate testing”. MIS Quarterly, 41 (4), 1083-1103. (ICIS 2014 best paper award, runner up)
5. Ayabkan, S., Bardhan, I., Zheng, Z. 2017. "A Data Envelopment Analysis based Approach for Estimating IT-Enabled Production Capability ", MIS Quarterly, 41(1), 189-205.
6. Chen, H., Z. Zheng, Y. Ceran. 2016. De-biasing the reporting bias in social media analytics. Production and Operations Management, 25 (5), 849-865.
7. Bardhan, I., Cath Oh, Z. Zheng, K. Kirksey. 2015. "Predictive analytics for readmission of patients with congestive heart failure: analysis across multiple hospitals", Information Systems Research, 26 (1), 19-39. (ISR 2016 Best Paper award, Runner up)
8. Zheng, Z., P. Pavlou and B. Gu. 2014. “Latent Growth Modeling in IS Research: Practical Guidelines and Theoretical Extensions”, Information Systems Research, 25 (3), 547-568.
9. Jabr, W., Z. Zheng, 2014. “Know Yourself and Know Your Enemy: An Analysis of Firm Recommendations and Consumer Reviews in a Competitive Environment”. MIS Quarterly, 38 (3), 635-654. (Best Paper Award, INFORMS 2010, E-Business Sector).
10.Fichman, R., B. Dos-Santos, Z. Zheng. 2014. “Digital Innovation as a Fundamental and Powerful Concept in the Information Systems Curriculum”, MIS Quarterly, 38 (2), 329-353.
11. Zheng, Z., Fader, P., Padmanabhan, B. 2012 “From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data”, Information Systems research, 23 (3), 698-720.
12. Dos-Santos, B., Zheng, Z., Mookerjee, V., Chen. H. 2012. Are new IT-enabled Investment Opportunities Diminishing for Firms? Information Systems research, 23 (2), 287-305.
13. Zheng, Z., Pavlou, P. 2010. “Toward a Causal Interpretation from Observational Data: A New Bayesian Networks Method for Structural Models with Latent Variables”, Information Systems research, 21 (2), pp. 365-391.
14. Weber, T., Zheng, Z. 2007. “A Model of Search Intermediaries and Paid Referrals”, Information Systems Research18(4), pp.414-436.
15. Zheng, Z., B. Padmanabhan. 2007. “Constructing Ensembles from Data Envelopment Analysis”, INFORMS Journal on Computing 19 (4), pp.486-496. 3
16. Zheng, Z., B. Padmanabhan. 2006. “Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning Based Solution”, Management Science,52(5), pp. 697-712.
17. Padmanabhan, B., Z. Zheng, S. Kimbrough. 2006. “An Empirical Analysis of the Value of Complete Information for eCRM Models”, MIS Quarterly, 30(2), 247-267.
18. Zheng, Z., Padmanabhan, B. and S. Kimbrough. 2003. “On the Existence and Significance of Data Pre-processing Biases in Web Usage Mining”, INFORMS Journal on Computing, 15(2), 148-170.Other Journal Publications
19. Zheng, Z, Tan Y., Goes, P, Chellappa, R., Wu, D., Shaw, M., Sheng, O., Gupta, A. 2017. “When Econometrics Meets Machine Learning”, Data and Information Management, 1 (2), 75-83.
20. Banker, R., H. Chang, Z. Zheng. 2017. “On the Use of Super-Efficiency Procedures for Ranking Efficient Units and Identifying Outliers”. Annals of Operations Research. 250 (1), 21-35.
21. Zheng, Z. 2015. “Introduction to Big Data Analytics and the Special Issue on Big Data Methods and Applications”. Journal of Management Analytics, 2 (4), 281-284.
22. Yang, M., Guohua Wan and Zhiqiang Zheng, 2014, "A Predictive DEA model for outlier detection", Journal of Management Analytics, 1 (1), 20-41.
23. Banker, R., Zheng, Z.(Corresponding Author), Natarajan, R. 2010. “DEA-based hypothesis tests for comparing two groups of decision making units”, European Journal of Operational Research. 206, 231-238.
24. Fang, C., Kimbrough, S., Valluri, A. and Zheng Z. 2002. “On Adaptive Emergence of Trust Behavior in the Game of Stag Hunt”, INFORMS Journal on Group Decision and Negotiation, 11(6), 449-467. Supported in part by NSF Grant (number 9709548).
[Papers Under Review]
“Online-Offline Channel Synergies: How Physical Store Closure Affects Consumer Churn”, with Gonca and Alejandro Z. Under the 2nd round review at POM.
“Are online physician reviews reliable indicators of clinical outcomes?”, with Danish, Indranil and Atanu, Under the 2nd round review at ISR.
“Social Influence on the Economic Behaviors of Individuals: Evidence from Mobile Social Games”, with Paulo Goes, Bin Fang and Qiang Ye. 2nd round review at JMIS.
“Strategic Groups in Sponsored Search: A Consumer Oriented Perspective”. Revise and Resubmit at Strategic Management Journal.
“Measuring the showrooming effect” with Ying Xie and J. Samuel, Revise and Resubmit at MISQ. “Manipulating Consumer Opinion: Incumbents Reaction to Competition from the Sharing Economy”, with Cheng Nie and Sumit Sarkar, Under Review.
“Reevaluating Readmission Reduction Policies: The role of Telehealth and Latent Patient Health Status”, with S. Ayabkan and I. Bardhan. Under review.
“Competitive structure and consumer reactions in sponsored search advertising”, with Cheng Nie and Sumit Sarkar, Under Review. “Managing Firm Product Portfolio”, with Wael Jabr. Under review.
“Are online ratings relative in competitive markets? A mean-field estimation approach”, with Vijay Mookerjee, Mingwen Yang and Hongyu Chen. Under review.
“Human-Robot Interaction: Investors’ Usage and Performance of Robo-advisors in Crowdfunding”, with Xuan Tian, Li Liao and R. Ge. Under review.
[Refereed Conference Proceedings]
“How does online review manipulation influence sales? Evidence from the hotel industry”, with Cheng Nie and Sumit Sarkar, WITS 2018.
“Unraveling the Effects of Google Search on Volatility of Cryptocurrencies”, with Chee-wee Tan, Fei Liu and Zhao Cai. ICIS 2018.
“Care Quality, Technology Use, and Online Patient Perception”, with Danish Saifee, Indranil Bardhan. CIST 2018, ICIS 2018, CHITA 2018, WISE 2018, HICSS2019.
“Are Online Reviews of Physicians Reliable Indicators of Clinical Outcomes? A Focus on Chronic Disease”, with Danish Saifee, Indranil Bardhan. Best paper award at the Conference on Health IT and Analytics (CHITA 2017), Washington DC, Nov 2017.
“Do Online Reviews of Physicians Reflect Health Outcomes?”, with Danish Saifee, Indranil Bardhan, ICSH2017, WISE 2017. Best paper award at ICSH2017.
“Devising Firm Response Strategy in a Competitive Market”, with Mingwen Yang, Vijay Mookerjee and Hongyu Chen, CIST 2017.
“Incumbents reaction to competition from the sharing economy”, with Cheng Nie and Sumit Sarkar, CIST 2017.
“Prescriptive Analytics on Firm Response Strategies”, with Mingwen Yang and Vijay Mookerjee, CSWIM 2017.
“What Drives Patient Readmissions? A new Perspective from the Hidden Markov Model Analysis”, with Sezgin Ayabkan and Indranil Bardhan, ICIS 2016.
“Manipulating Consumer Opinion: Incumbents Reaction to Competition from the Sharing Economy”, with Cheng Nie and Sumit Sarkar, WITS 2016. Nominated for best paper award.
“Demystifying Physician Review: Quality and Clinical Outcome”, with Danish Safai and Indranil Bardhan, CIST 2016.
“Predictive analytics for multi-channel advertising attribution”, with Yiyi Li and Ying Xie, CSWIM 2016.
“Quantifying the Value of Local Showrooms in Consumer Search and Purchase”, with Jay Samuel and Ying Xie, HICSS 49, 2016, POMS2017.
“Competitive Analytics of Multi-Channel Advertising and Consumer Inertia”, AMCIS 2015, with Yiyi Li and Ying Xie.
"Can health information sharing reduce duplicate testing? A longitudinal analysis of patient switching behavior across multiple hospitals”, with Bardhan, I., Ayabkan, S. CSWIM 2014, CIST2013, WHITE 2013, ICIS 2014, 1 st runner up of the best paper award at ICIS 2014.
“How do strategic group impact consumer behavior in sponsored search advertising?”, with Sumit Sarkar and Cheng Nie, WITS 2014. Acceptance rate (40/106).
"Advertisers’ Competitive Behavior in Sponsored Search Auctions -Evidence from the Digital camera Industry”, with Jing Hao and Sumit Sarkar, Proceedings of HICSS 2013.
"The Impact of IT-enabled Manufacturing Process Capabilities on Plant Profitability: New Models and Evidence", with Indranil Bardhan and Sezgin Ayabkan. In proceedings of ICIS 2012 and Informs 2012.
"Quicker and Sicker? Length of Stay and Readmission Risk of Congestive Heart Failure Patients", with Bardhan, I., Oh, C. etc. CIST2012 (nominated for the best paper award) WHITE 2012 and WISE 2012.
"A Profiling model for readmission of patients with congestive heart failure", Bardhan, I., Oh, C., Zheng, Z., In proceedings of ICIS 2011 and CIST2011.
“Winning Crowdsourcing Contests: A Micro-Structural Analysis of Multi-Relational Social Network”, Mo, J., Zheng, Z., Geng, X. Best Paper Award Winner at the Fifth China Workshop on information Management (CSWIM), Harbin, China, 2011.
“On the Dynamic and Competing Effects of Online Reviews on Sales”, Jabr, W., Zheng, Z. In Proceeding of WITS2010 (Acceptance rate: 44/113).
“Latent Growth Modeling in IS Research: Its Tenet, Illustration and Practical Guidelines”, Pavlou, P., Zheng, Z., Gu, B. In Proceedings of the International Conference on Information Systems (ICIS), 2010 (Acceptance rate: 174/803).
“Winning Crowdsourcing Contests: A Multi-Relational Social Network Perspective”, Mo, J., Zheng, Z., Geng, X. Presented at the Conference on Information Systems and technology (CIST), Austin, 2010.
“Does IT Matter, the Evidence”, Dos-Santos, B., Zheng, Z., Mookerjee, V., Chen, H. In Proceedings of the Fourth China Workshop on information Management (CSWIM), Wuhan, China, 2010. “Is IT Really Becoming a Commodity?”, Dos-Santos, B., Zheng, Z., Mookerjee, V., Chen, H. Complete Research paper, In Proceedings of ICIS, Paris, 2008. (Acceptance rate: 162/800). “A DEA Approach for Model Combination”, Zheng, Z., Padmanabhan, B. and Zheng, H., 2004. Proceedings of KDD 2004, August 2004.
“On Active Learning for Data Acquisition”, Zheng, Z., Padmanabhan, B. Proceedings of the IEEE Conference on Data Mining (ICDM02), 2002. (Acceptance rate: 70/369).
“Personalization from Incomplete Data: What you don’t know can hurt”, Padmanabhan, B., Zheng, Z. and S. Kimbrough. Proceedings of the ACM Conference on Knowledge Discovery and Data Mining 2001 (KDD2001),154-264. (Acceptance rate: 20/203).
“On Usage Metric for Determining Authoritative Sites”, Kimbrough, S., Padmanabhan, B. and Zheng, Z. Proceedings of Workshop on Information Technology & Systems 2000 (WITS 2000). [Less Refereed Workshops]
“Social trading”, with Mingwen Yang and Vijay Mookerjee. 2018, Emory Workshop on Empirical IS and OM.
“HRTech Engine”, with Jay Samuel and Vijay Mookerjee. 2018 Annual Marketing-IS colloquial at Fudan University.
“Did the Hospital Readmission Reduction Program Achieve the Goals of Triple Aim? Evidence from North Texas”, with Sezgin Ayabkan and Indranil Bardhan, 2018 Annual Research Meeting, June 2018, Seattle, WA, PACIS 2018.
“Impact of Telehealth and Patient Health Status on Readmissions”, with Sezgin Ayabkan and Indranil Bardhan, POMS 2018, Houston.
“Managing Customer Opinions through Direct Responses”, with Mingwen Yang and Mookerjee, V. and Hongyu Chen. POMS 2016.
“Competitive Analytics for Multi-Channel Multi-touchpoint Ad Attribution”, with Yiyi Li, Ying Xie, the 1st Sino-US Research Conference on Quality, Analytics and Innovations 2016, Shanghai. “Health insurance coverage, latent health status and readmissions”, with S. Ayabakan, I. Bardhan., WHITE 2014, WISE 2014
“Patient Migration and Duplicate Procedures: A Longitudinal Study of Congestive Heart Failure Patients in Texas”, with Indranil Bardhan, Sezgin Ayabakan, Kirk Kirksey, Presented at the Second INFORMS Healthcare Conference, Chicago, IL, June 2013
"To Compete or Not: An Empirical Analysis of Advertisers’ Competitive Behavior in Sponsored Search Auctions”, with Jing Hao and Sumit Sarkar, Poster at WISE2011.
“Determinants of plant performance and profitability: a comparative analysis of Chinese and U.S. Manufacturing Plants”, with Indranil Bardhan and Sezgin, Presented at WISE2011 (Shanghai). "A Profiling model for readmission of patients with congestive heart failure", Bardhan, I., Oh, C., Zheng, Z., Presented at the 1st INFORMS workshop on Healthcare and 2nd WHITE, 2011. “Winning Crowdsourcing Contests: An Analysis of the Micro-Structure of Multi-Relational Networks”, Mo, J., Zheng, Z., Geng, X. WISE 2010 and SCECR 2011.
“On the Dynamic and Competing Effects of Online Reviews on Sales”, Jabr, W., Zheng, Z. INFORMS 2010, E-Business Sector, 2010.Winner of the Best Paper Award.
“Tutorial on Latent Growth Modeling for IS Applications”, Pavlou, P., Zheng, Z., Gu, B., Dos?Santos, B. 90-Minute tutorial at AMCIS 2010, Lima, Peru. August 2010.
“Latent Growth Modeling in Information Systems Research: An Application to the Performance Effects of IT”, Pavlou, P., Zheng, Z., Gu, B. SCECR2010, Austin.
“Mining Twitter’s data for Box Office Prediction”, Hongyu Chen, Zheng, Z. The 6th Information System Symposium of Big XII, at University of Arkansas, April 2010.
“Mining Movie Blog Data for Box office prediction”, Zheng, Z., Yu, W. Informs2007.
“Inferring firms’ competitive measures from aggregated data”, Zheng, Z., Padmanabhan, B., Fader, P. presented at the Bass Conference at UTD in 2007 and INFORMS 2006.
“A Bayesian Network Method for Inferring Causality from Data”, Zheng, Z. and Pavlou, P. IFORS Conference, Hawaii, 2005.
“Evolutionary Origin of Trust: A Learning Perspective”, Fang, C., S. Kimbrough, A. Valluri, Z. Zheng, Academy of Management Conference 2002 (AOM02), Denver.
“A Model of Search Intermediaries and Paid Referrals”, Weber, T., Z. Zheng Workshop on Information Systems and Economics (WISE 2002), Barcelona, Spain.

“Are you paying too much for financial advising? Value of trading information in Social trading”, with M. Yang and V. Mookerjee (Best paper runer-up at Informs E-Business Sector)
“Detecting Financial Turnover from Employee Turnovers”, with Bin Gu and Peri-yu Chen. “ICO valuation”
“Unraveling the Effects of Google Search on Volatility of Cryptocurrencies”, with Chee-wee Tan, Fei Liu and Zhao Cai. ICIS 2018 version available.
“Care quality, technology use and online patient perception”, with Danish Saifee, Atanu Lahiri, Indranil Bardhan. HICSS 2019 version available.
“Structural Estimation of Incumbents’ Reactions in the Competition from Sharing Economy”, with Sumit and Cheng. WITS 2018 version available.
“Gaming to avoid readmission penalty”, with Indranil and Sezgin.
“The War of Standards – the role of essential Patents in the telecommunication industry”.
"The impact of high frequency trading on liquidity quality and investor overreaction".
“Using Wearable Electrocardiography Device to Predict Day-Trader’s Performance”
“Blockchain based Data Exchange”
姜伟，罗兴刚，郑志强等，2018-2022，国家自然科学基金资助号71831006，互联网环境下的服务开发与设计优化，2530000元(约40万美元)
张鹏柱，郑志强，等，2017-2021，国家自然科学基金资助号91646205，课题研究大数据驱动、全景化、个性化的心血管健康管理，2850,000元(约410,000美元)。
2015-2019，中国国家科学基金会大数据与互联网金融资助，300万元人民币(约50万美元)，#71532004。 Co-PI(与Wael Jabr合作),“怎样管理你的IT产品组合?”，$67,200(2013-15)，加拿大SSHRC Insight发展赠款。
2013-2015年度中国海外合作与交流联合研究经费20万元(约3.3万美元)
西南医疗中心(Southwest Medical Center)资助的“跨医院病人转移和冗余程序”项目的联合pi(与Indranil Bardhan合作)(2013年为2.5万美元)，
copi(与Indranil Bardhan)合作，为该项目提供“一个病人重新入院的模型”由西南医学中心(Southwest Medical Center)和DFW医院理事会(DFW Hospital Council)资助(2011年4万美元，2012年3.5万美元)。

2017年ICSH最佳论文奖“在线医生评论是否反映临床结果?”
2017年奇塔最佳论文奖为“Are Online Reviews of Physicians Reliable Indicators of Clinical Outcomes? A Focus on Chronic Disease”。
2016年WITS2016年度最佳论文提名《操纵消费者意见:现有企业对共享经济竞争的反应》
2015年ISR最佳论文奖“充血性心力衰竭患者再入院预测分析:多家医院分析”亚军ICIS 2014年度最佳论文奖“Can health care IT reduce”季军
《更快还是更糟?》获得2012年CIST最佳论文提名。
CSWIM 2011年度最佳论文奖“众包比赛获奖”
Informs 2010电子商务部分的最佳论文奖“On the Dynamic and Competing Effects of Online Reviews on Sales”
AC Nielsen Netratings资助谷歌赞助搜索项目。
雅虎(序曲)2003-2005年资助的旅行和数据付费转诊项目。
沃顿电子商务计划资助的网络应用挖掘项目(WEBI 2001)(巴拉吉·帕德马纳布汉名下，每年2万美元)。
沃顿商学院博士奖学金，1998-2002年。
1996年上海交通大学全国优秀研究生。
上海交通大学自强奖学金(最高荣誉)仅授予4000名研究生中的第一名。