Cong Zhang, Ph.D.
Assistant Professor of Information Systems
Department of Information Systems and Decision Science
Office: Business Center 477
- Ph.D., University of Wisconsin-Milwaukee
- M.S., City University of Hong Kong
- B.S., Macao Polytechnic University (MPU)
Cong Zhang is an Assistant Professor of Information Systems at the Merrick School of Business, University of Baltimore. He received his Ph.D. in Management Information Systems from the University of Wisconsin-Milwaukee. His research interests are online customer reviews, health informatics, ontology modeling, and sharing economy.
Business Intelligence and Analytics, Data Mining, Online Word of Mouth, Healthcare Informatics, Sharing Economy
Business Intelligence and Analytics, Management Information Systems, Machine Learning, Artificial Intelligence, Big Data, Data Visualization, Data Warehousing
Zhang, C. (2021). Zhang, C., & Srite, M.(2021). The Role of National Culture Values and Trust in Online Sharing Hospitality Plateform Acceptence. Journal of Global Information Management (JGIM), 29(3), 103-130. Journal of Global Information Management.
Aggarwal, A. K., & Zhang, C. Northeast Decision Sciences Institute, "Visual Business Intelligence Implementation in the Curriculum," Decision Sciences Institute, Washington DC. (2023).
Zhang, C. Western Decision Sciences Institute 48th Annual Meeting, "The Role of Espoused Cultural Values in Online Sharing Hospitality Platform Acceptance," Los Angeles, California. (2019).
Zhang, C. Americas Conference in Information Systems (AMCIS) Conference, "Modeling the Impact of the Sharing Economy on Traditional Firms," New Orleans, Louisiana. (2018).
Fast Pitch: Meet the new Information Systems Professor: (2022).
Research in Progress
"Data Analytics - a Story-Building Approach Using Digital Forensics"
"Dummying of Students? From the Internet to ChatGPT"
"Functional Competency and Herding in Groups: A Case Study"
"Investigate the Factors Influencing Sales in E-Commerce Live Streaming Shopping" (On-Going)
"Investigating and Detecting GPT-Generated Fake Online Reviews" (On-Going)
"Mining Patients� Experiential Quality Evaluations from Online Healthcare Reviews Using an Integrated Domain Ontology" (Writing Results)
"When Perceptions Match Reality: The Influence of Hospital Medical Performance and Review Content on Online Ratings" (Writing Results)