Zhongju (John) Zhang
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Phone: 480-965-9407
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BAC 658 Tempe, AZ 85287-4606
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Mail code: 4606Campus: Tempe
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Zhongju Zhang is Dean's Council Distinguished Professor of Information Systems at the W. P. Carey School of Business, Arizona State University. Prior to that, Zhang was a tenured faculty member and the founding director of the MS degree program in business analytics and project management (MS-BAPM) at the School of Business, University of Connecticut. Zhang has formal training in the fields of information systems, data science, computer science, management science, operations research/management, and economics. He has extensive knowledge and strongly believes in experiential learning in higher education. Zhang has consulted extensively for various industries on data centric, operations, and strategic decision problems, and has experience developing strategic analytics initiatives for organizations. Zhang has also successfully sought external funding from both the industry and government agencies.
Zhang’s research primarily focuses on how information systems/technology and data analytics impact consumer behavior, create business value, and transform business models. He has specific interests in financial technologies and social media, platform economy and business models, social and economic aspects of digital transformation, machine learning and data science. Zhang's work has appeared in academic journals including Information Systems Research, MIS Quarterly, Production and Operations Management, INFORMS Journal on Computing, Journal of Management Information Systems, Decision Support Systems, European Journal of Operational Research, Decision Sciences. Zhang is the co-EIC for the journal of Information Technology and Management and also serves as a senior editor for Production and Operations Management. He has won numerous research and teaching awards, including the Best IS Publications of the Year Award, Research Excellence Award, MBA Teacher of the Year Award, Ackerman Scholar Award.
- PhD, University of Washington, 2003
- MS, National University of Singapore, 1999
- BS, Xi'an Jiaotong University, 1996
- incentives, user behaviors, and crowds in online collaborative platforms and social media
- fin-tech (including fraud and fake news detection) as well as its business and social impacts
- platform economy and business models
- economic aspects of digital transformation
- machine learning and data science
- Liu, R., Huang, J., and Zhang, Z., “Tracking disclosure change trajectories for financial fraud detection,” Production and Operations Management, 32(2), pp. 584-602, 2023.
- Yang, Y., Qin, Y., Fan, Y., and Zhang, Z. “Unlocking the Power of Voice for Financial Risk Prediction: A Deep Learning Approach.” MIS Quarterly, 47(1), pp. 63-96, March 2023.
- Zhang, X., Du, Q., and Zhang, Z., “A Theory‐Driven Machine Learning System for Financial Disinformation Detection.” Production and Operations Management, 31(8), pp. 3160-3179, 2022.
- Li, Z., Liang, C., Hong, Y., and Zhang, Z., “How Do On-demand Ridesharing Services Affect Traffic Congestion? The Moderating Role of Urban Compactness,” Production and Operations Management, 31(1), pp. 239-258, 2022.
- Li, Z., Hong, Y., and Zhang, Z., “The Empowering and Competition Effects of the Platform-Based Sharing Economy on the Supply and Demand Sides of the Labor Market,” Journal of Management Information Systems, 38(1), pp. 140-165, 2021.
- Liu, X., Fan, W., Wang, A., and Zhang, Z., “Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multi-level Analysis,” Information Systems Research, 31(3), pp. 731-752, September 2020.
- Qi, G., Chen, J., and Zhang, Z., "Mobike: A Smart Bike-Sharing Service Platform," Ivey Publishing, Product Number: 9B18M004, 1/12/2018.
- Dong, W., Liao, S., and Zhang, Z., “Leveraging Financial Social Media for Corporate Fraud Detection,” Journal of Management Information Systems, 35(2), pp. 461-487, 2018.
- Zhang, Z. and Feng, J, “Price of Identical Product with Gray Market Sales: An Analytical Model and Empirical Analysis,” Information Systems Research, 28(2), pp. 397-412, June 2017.
- Huang, P. and Zhang, Z., “Participation in Open Knowledge Communities and Job Hopping: Evidence from Enterprise Software,” MIS Quarterly, 40(3), 785-806, September 2016.
- Abrahams, A., Fan, W., Jiao, J., Wang, G., and Zhang, Z. “An Integrated Text Analytic Framework for Product Defect Discovery,” Production and Operations Management, 24(6), 975-990, June 2015.
- Chen, L., Marsden, J., and Zhang, Z. “Theory and Analysis of Company Sponsored Value Co-creation,” Journal of Management Information Systems, 29(2), pp. 141-172, Fall 2012.
- Ba, S., Stallaert, J., and Zhang, Z. “Online Price Dispersion: A Game-Theoretic Perspective and Empirical Evidence,” Information Systems Research, 23(2), pp. 575-592, June 2012.
- Bapna, R., Goes, P., Wei, K.K., and Zhang, Z. “A Finite Mixture Model to Predict B2B Electronic Payments Systems Adoption,” Information Systems Research, 22(1), pp. 118-133, March 2011.
- Ba, S., Stallaert, J., and Zhang, Z. “Balancing IT with the Human Touch: Optimal Investment in IT-based Customer Service,” Information Systems Research, 21(3), pp. 423-442, 2010
- Zhang, Z. “Feeling the Sense of Community in Social Networking Usage,” IEEE Transactions on Engineering Management, 57(2), pp. 225-239, May 2010.
- Chen, L., Goes, P., Marsden, J., and Zhang, Z. “Design and Use of Preference Markets for Evaluation of Early Stage Technologies,” Journal of Management Information Systems, 26(3), pp. 45-70, Winter 2009-2010.
- Zhang, Z., Dey, D., and Tan, Y. “Pricing Communication Services with Delay Guarantee,” Informs Journal on Computing, 19(2), pp. 248-260, 2007.
- Fan, W., Wallace, L., Rich, S., and Zhang, Z. “Tapping into the Power of Text Mining,” Communications of the ACM, 49(9), pp. 76–82, September 2006.
- Dey, D., Zhang, Z., and De, P. “Optimal Synchronization Policies for Data Warehouses,” Informs Journal on Computing, 18(2), pp. 229–242, 2006.
- Teo, H.H., Chan, H.C., Wei, K.K., and Zhang, Z. “Evaluating Information Accessibility and Community Adaptivity Features for Sustaining Virtual Learning Communities,” International Journal of Human Computer Studies, 59(5), pp. 671–697, November 2003.
Courses
2024 Fall
Course Number | Course Title |
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CIS 409 | Bus Data Warehouse Dimen Model |
CIS 409 | Bus Data Warehouse Dimen Model |
CIS 791 | Seminar |
2024 Spring
Course Number | Course Title |
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CIS 409 | Bus Data Warehouse Dimen Model |
2023 Fall
Course Number | Course Title |
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CIS 409 | Bus Data Warehouse Dimen Model |
CIS 409 | Bus Data Warehouse Dimen Model |
2023 Spring
Course Number | Course Title |
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CIS 355 | Bus DataWarehouse Data Modelin |
CIS 355 | Bus DataWarehouse Data Modelin |
CIS 791 | Seminar |
2021 Fall
Course Number | Course Title |
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CIS 355 | Bus DataWarehouse Data Modelin |
CIS 355 | Bus DataWarehouse Data Modelin |
2021 Spring
Course Number | Course Title |
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CIS 355 | Bus DataWarehouse Data Modelin |
CIS 355 | Bus DataWarehouse Data Modelin |
2020 Fall
Course Number | Course Title |
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CIS 512 | Business Intelligence |
2020 Spring
Course Number | Course Title |
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CIS 791 | Seminar |
CIS 355 | Bus DataWarehouse Data Modelin |
2019 Fall
Course Number | Course Title |
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CIS 325 | Programming for Bus Analytics |
Teaching Interests: Core courses in business and data analytics including data warehousing, data visualization, predictive modeling, data and text mining, forecasting, machine learning and deep learning, business analytics strategy, information systems research methods seminar, experiential and executive education
- Dean’s Excellence in Research Summer Grant, Arizona State University, May 2024, 2023, 2022, 2021, 2020, & 2019.
- AWS Cloud Credits for Research, Amazon, February 2020, August 2019, February 2017.
- INFORMS eBusiness Best Paper (Runner-up) Award, INFORMS, Houston, October 2017.
- Center for the Study of Economic Liberty (CSEL) Research Award, Arizona State University, February 2017.
- Dean’s Summer Research Grant, UConn School of Business, May 2012, 2013 & 2014.
- Co-Recipient of the Best IS Publications of the Year (2010) Award, Association of Information Systems (AIS), 2011
- Research Excellence Award, UConn School of Business, April 2011
- CITI Research Grant, UConn School of Business, April 2010 & 2011.
- MBA Teacher of the Year, UConn School of Business, April 2010.
- Best Research Paper Award, UConn School of Business, April 2009.
EiC
- Information Technology and Management, 2023-now
Senior Editor
- Production and Operations Management, 2019-now
- Decision Support Systems, 2014-2021
- Electronic Commerce Research and Applications (ECRA), 2018-2023
Guest Associate Editor
- MIS Quarterly
Editorial Board Member
- Journal of the Association for Information Systems, August 2018-2020
- Journal of Database Management, 2004-2023
- Information Technology and Management, 2010-2012
- Journal of Electronic Commerce Research, 2010-2019
Advisory Board Member
- Wuhan International Conference on e-Business, 2022-now
Conference Co-chair
- Conference on Information Systems and Technology (CIST), Phoenix, 2018
- 5th China Summer Workshop on Information Management (CSWIM), Harbin, China, 2011
Associate Editor
- International Conference on Information Systems, 2009, 2011, 2012, 2013, 2014, 2016, 2017
Track/Session Chair
- HICSS minitrack: Economic and Societal Impacts of Technology, Data, and Algorithms, January 3-6, 2023, 2024, 2025.
- Emerging Topics Sessions Co-Chair, INFORMS Annual Conference, Indianapolis, Indiana 2022.
- HICSS 2018 minitrack: Data Analytics Management, Governance, and Compliance, January 3-6, 2018.
AIS, INFORMS
Arizona State University: 2015-present. Previous appointments: University of Connecticut: 2003-2015
- General Electric, Fairfield, CT, 2004-2011, 2013
- Aetna, Hartford, CT, 2013
- Travelers, Hartford, CT, 2012
- Ports of America, Phoenix, AZ, 2017