Jeremy Wang

Jeremy Fei Wang

Professor of Computer Information Systems; Director of the China Program

Professional Profile

Dr. Jeremy Fei Wang is a Professor of Computer Information Systems (CIS) at Flagler College, with numerous years of diverse experience in higher education and information technology & management consulting. He received his Ph.D. in Business Information Technology (BIT) from Virginia Tech University. Dr. Wang’s dissertation focused on AI-driven recommendation agents (RAs) from an affordance perspective. Before starting his academic career in 2004 at his alma mater Marietta College, he was a Senior Consultant with Cap Gemini Ernst & Young (CGEY), one of the world's largest management and IT consulting firms. As a senior Microsoft Certified Professional (MCP+MCSD+MCAD) and Principal Certified IBM/Lotus Professional (PCLP), he worked with various client companies in this position, including Procter and Gamble International (P&G), General Electric (GE), Schneider Industry, Standard Register, Provident Bank, etc. He led a worldwide global design team in the P&G eForm project and conducted an intensive application development and maintenance training course in Brussels, Belgium. Before joining Cap Gemini Ernst & Young, he was an information technology consultant with Meritage Technologies in Cleveland where he developed Meritage's business in the area of business collaboration, knowledge management and e- learning. Dr. Wang has developed and taught a variety of contemporary information systems courses which featured a combination of lectures, case studies, and hands-on lab sessions that help students develop technical and problem-solving skills and learn how to apply academic theories to address real-world problems. His expertise and research interests are in the areas of e-commerce, commercial website development, Web2.0 technologies, mobile platforms, enterprise resource planning (ERP) systems and artificial intelligence (AI). He brings the real world into the classroom through his diverse consulting experiences in consumer products, e-commerce, software, medical, educational, manufacturing and financial industries. Dr. Wang has presented papers nationally and internationally and published in the field of information systems. He is also an honorary guest professor at University of International Relations (UIR), Chengdu Normal University (CNU) and the E-Commerce School of the Southwestern University of Finance & Economics (SWUFE) in China. As the Director of the China Program, Dr. Wang is responsible for establishing and expanding Flagler's presence in China through building local partnerships, developing recruitment strategies, creating digital channels, providing support for student families, and managing public relations in China.


Classes Taught

  • Introduction to Business Analytics Modeling
  • Data Management for Business
  • Introduction to Management Information Systems 
  • Business Application Programming 
  • Commercial Website Development  
  • Enterprise Systems and ERP  
  • E-Commerce and E-Business  
  • Information Systems Security  
  • Web-Based Business Application Development 
  • Information Systems Consulting Capstone 
  • Computing For Business 
  • iPhone/iPad Application Development, through the Apple University Developer Program  
  • Information Technology and Globalization, a First Year Experience (FYE) Course 



  • Zhang, S., Huang, F., Yu, L., Wang, J. F., & Lowry, P. B. (2023). A dual-process model to better explain self-disclosure on online social networking sites: Examining the moderating effect of enjoyment. Internet Research, ISSN: 1066-2243.
  •    Wang, J. F. (2023). The impact of artificial intelligence (AI) on customer relationship management: A qualitative study. International Journal of Management and Accounting, 5(5), 74-90.
  •    Wang, J. F. (2010). E-revolutionize the classroom: building a paperless classroom with the best of two worlds. Journal of Instructional Pedagogies, 2(March), Article: EJ1056398.
  •    Wang, J. F. (2009). Building social networking sites (SNS) on open-source platforms, Business Review Cambridge (ISSN 1553 – 5827), 13(2), 32-38.
  •    Wang, J.F. (2023), Key factors affecting user trust and intention to use AI-driven content aggregation and recommendation agents. In Proceedings of the Americas Conference on Information Systems (AMCIS 2023), Panama City, August 9-13.
  •    Wang, J. F. (2021). Essays on the new generation of recommendation agents (RAs 2.0): An affordance IT design perspective. In Proceedings of the International Conference of Information Systems (ICIS 2021), Doctoral Consortium, Austin, Texas, December 8-15.
  •    Wang, J. F. (2021). An affordance perspective of RA 2.0: Theorizing the new generation of recommendation agents, the Runner-Up TREO Paper – TREO Chair’s Award. In Proceedings of the Americas Conference on Information Systems (AMCIS 2021), Virtual Conference, August 9-13.
  •    Wang, J. F. (2018). Designing AI agents: Key factors that impact users’ acceptance. In Proceedings of the Academic and Business Research Institute Conference, Orlando, October 25-27.
  •    Wang, J. F. (2017). Incorporating Microsoft technologies into management information systems curriculum at a contemporary liberal arts college. Invited by Microsoft to present at the Microsoft Academic Conference for Higher Education, Microsoft Campus, Redmond, Washington, June 19-21, 2017.
  •    Wang, J. F. (2016). Leveraging the power of XML in large eForm processing. In Proceedings of the International Conference for Engineering and Technology, Barcelona, Spain, May 23-26.
  •    Wang, J. F. (2015). Incorporating native mobile app development in an IS curriculum. In Proceedings of the International Conference for Technology and Science, Brussels, Belgium, June 30-July 3.
  •    Wang, J. F. (2014). A practical database approach to smart RSS news syndication. In Proceedings of the Euro-American Conference for Academic Disciplines, Anglo-American University, Prague, Czech Republic, June 10-13.
  •    Wang, J. F. (2013). Critical success factors (CSF) for e-commerce in China. In Proceedings of the International Journal of Arts and Sciences Conference, Harvard University, Boston, Massachusetts, May 26-30.
  •    Wang, J. F. (2012). Held a half-day workshop titled “Using Open-Source Technologies to Design Web 2.0 Applications” at the Americas Conference on Information Systems (AMCIS 2012). My workshop exemplified the AMCIS 2012 theme of “Designing the Digital Future” and was selected as one of the six workshops offered at the conference, Seattle, Washington, August 9-11.
  •    Wang, J. F. (2011). Penny auction – A viable e-commerce business model? In Proceedings of the Academic and Business Research Institute Conference, Las Vegas, Nevada, October 6-8.
  •    Wang, J. F. (2010). Developing an integrated academic e-community website: A case study of the BEConnect project. In Proceedings of the Academic and Business Research Institute Conference, Orlando, September 13-15.
  •    Wang, J. F. (2008). A global Chinese virtual community on web2.0 paradigm – The community project. In Proceedings of the International Business & Economics Research Conference, Los Angeles, California, June 11-14, 2008.
  •    Wang, J. F. (2007). Web 2.0 localization: A comparative study on leading American and Chinese companies. In Proceedings of the International Conference on Business and Information, Tokyo, Japan, July 11-13. 
  •    Wang, J. F. (2006). E-revolutionize the classroom: building a paperless classroom with the best of two worlds. In Proceedings of the 5th Annual Hawaii International Conference on Business, Honolulu, Hawaii, May 26-29.

Working Papers

  • Wang, J. F., & Lowry, P. B. (2023). Effects of unsealing the black box of AI-powered recommendation agents: An affordance perspective. Currently under review at Information Systems Research.
  • Wang, J. F., & Lowry, P. B. (2023). Advancing an affordance perspective of RAs 2.0: Theorizing the new generation of recommendation agents. Currently under review at Journal of Strategic Information Systems.
  • Wang, J. F., & Lowry, P. B. (2023). Key affordances affecting user-perceived companionship with AI-driven content recommendation agents: A dual perspective of user engagement and disengagement. In preparation for submission to MIS Quarterly.


Area of Research

  • Artificial Intelligence (AI)
  • AI-Driven Recommendation Systems
  • E-Commerce
  • Commercial Website Development
  • Web 2.0 Technologies
  • Mobile Platforms

More Information


  • Association of Information Systems (AIS)
  • Microsoft Certified Solution Developer (MCSD)
  • Microsoft Certified Application Developer (MCAD)
  • Microsoft Certified Professional (MCP)
  • Certified IBM Lotus Professional (CLP), R5 Principal CLP and R4 Principal CLP

IS Journal Reviewers

  • Information Systems Research (ISR)
  • Journal of Strategic Information Systems (JSIS)
  • Information Systems Journal (ISJ)


  • Honored Guest Professor, University of International Relations (UIR), Beijing, China.
  • Honored Guest Professor, Chengdu Normal University, Chengdu, China.
  • Honored Guest Professor, Southwestern University of Finance & Economics, Chengdu, Sichuan, China.
  • Two times Cap Gemini Ernst & Young's "Consultant of the Month" award.
  • Cap Gemini Ernst & Young’s “Ace Award”, only awarded to the top 3% consultants globally.
  • Phi Kappa Phi, an honor society that recognizes and encourages superior scholarship, Virginia Tech University.
  • Beta Gamma Sigma, the highest honor for business students, Ohio University.
  • Omicron Delta Epsilon, awarded by the International Honor Society in Economics for highest scholastic achievement.

Office Hours

  • Monday and Wednesday: 11:30 AM - 1:30 PM