Quinnipiac University
Richard V. McCarthy

Associate Dean for the School of Business

Professor of Business Analytics and Information Systems

Dr. Richard McCarthy is a Professor of Computer Information Systems. His teaching area is primarily within the Master of Science in Business Analytics, focusing on predictive analytics, data management, text mining, and the capstone project course.

Dr. McCarthy is the author of over 60 research journal articles and cases. He is the co-author of the textbook Applying Predictive Analytics: Finding Value in Data, and has contributed to 8 other textbooks. In 2019, he was named Computer Educator of the Year by the International Organization for Computer Information Systems.

Education

  • BS, Central Connecticut State University
  • MBA, Western New England College
  • DBA, Nova Southeastern University

Areas of Expertise

  • Business Analytics
  • Computer Information Systems

Organization

  • School of Business

Office Location

  • Lender School of Business 214

Mail Drop

  • SB-DNF

Selected Publications

Books

Applying Predictive Analytics: Finding Value in Data

McCarthy, R, McCarthy, M, Ceccucci, W

2nd (Springer 2022)

Peer Reviewed Proceedings

Health Care Management: Using Predictive Analytics to Prevent Post-Surgical Falls after Hip or Knee Replacement Surgery

McCarthy, R, Ceccucci, W

EDSIG Conference, Clearwater, FL (2022)

Peer Reviewed Presentations

Predicting Post-Operative Falls after Total Hip and Knee Arthroplasty: A Machine Learning Algorithm

Belniak, R., McCarthy, R., Connors, J., Ceccucci, W., Rossetti, M., Cremins, M., Vellanky, S., Palumbo, K., Catlaw, K.,

American Association of Hip and Knee Surgeons, Dallas, TX (2021)

Journal of Computer Information Systems

McCarthy, R

(2021)

Information Systems Education Journal (ISEDJ)

McCarthy, R

(2021)

Peer Reviewed Journal

A Pedagogy to Develop Effective Virtual Teams

Angelo, R., McCarthy, R.

61(5) Journal of Computer Information Systems 450-457 quarter (2021)

Peer Reviewed Journal

Can you predict the money laundering cases?

McCarthy, R, Ceccucci, W., McCarthy, M., Sugumar, N.

19(1) Information Systems Education Journal 16-22 quarter (2021)

Peer Reviewed Proceedings

Can you predict the money laundering cases?

McCarthy, R., Ceccucci, W., McCarthy, M., Sugumar, N.

EdSigCon 2020, virtual (2020)

Professional Designation