Quinnipiac University
Wendy A. Ceccucci

Professor of Business Analytics and Information Systems

Wendy Ceccucci is a Professor and chair of the Computer Information Systems Department at Quinnipiac University. She holds a bachelor’s degree in Math -Computer Science from Union College and an MBA and PHD from Virginia Polytechnic University.
During her 26 years at Quinnipiac University she has taught a variety of classes in the Undergraduate CIS program and in the Masters of Business Analytics. Some of the classes she has taught include, Data Visualization, Predictive Modelling, Optimization, Programming, Statistics, Advanced Excel, Web Development, Data Warehousing, Six Sigma, and Operations Management.
She is very involved in the Edsig conference and was inducted as an EDSIG-AITP Fellow in 2018. She is certified as an Tableau Desktop Specialist

Education

  • BS, Union College
  • MA, Virginia Polytechnic Institute & State University
  • PHD, Virginia Polytechnic Institute & State University

Organization

  • Business Analytics and Information Systems

Office Location

  • Faculty Office Building 121

Mail Drop

  • SB-DNF

Selected Publications

Peer Reviewed Journal

Mental health and information technology developers: an exploration of demographic variances

Peslak, A., Ceccucci, W.,Jones, K., Leonard, L.

24(1) Issues in Information Systems 250-264 Fall (2023)

Peer Reviewed Presentations

Investigating the Relationship between Developer Job Satisfaction and Life Satisfaction: A Global Analysis

Peslak, A., Ceccucci, W.,Jones, K., Leonard, L.

IS Applied Research, Alberuquerque, NM (2023)

Peer Reviewed Journal

The Effect of Mental Illness on Compensation for IT Developers

Peslak, A., Ceccucci, W., Jones, K., Leonard, L.

16 N3 Journal of Information Systems Applied Research 45-57 Nov (2023)

Peer Reviewed Journal

Teaching Case:Health Care Management: Preventing Post-Surgical Falls after Hip or Knee Replacement Surgery through Predictive Analytics

McCarthy, R., Ceccucci, W.

21 (N4) Information Systems Education Journal 46-52 Sep (2023)

Books

Applying Predictive Analytics: Finding Value in Data

McCarthy, R., McCarthy, M., Ceccucci, W.

Second 1-274 (Springer 2022)

Peer Reviewed Journal

Using Unsupervised Machine Learning to Determine Social Networking User Groups

Peslak, A.,Ceccucci, W., Hunsinger, S.

23(2) Issues in Information Systems 215-230 Fall (2022)

Peer Reviewed Presentations

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

The Effect of Mental Illness on Compensation for IT Developers

Peslak, A., Ceccucci, W., Jones, K., Leonard, L.

Conference on Information Systems Applied Research , Clearwater, FL (2022)

Peer Reviewed Journal

The COVID-19 Pandemic’s Impact on Information Technology Employment, Salaries, and Career Opportunities

Sendall, P., Peslak, A., Ceccucci, W., Hunsinger, S.

15(2) Journal of Information Systems Applied Research 30-38 Summer (2022)

Peer Reviewed Journal

Equity and Satisfaction in IT: A current analysis

Peslak, A., Ceccucci, W., Hunsinger, S., Sendall, P.

22(4) Issues in Information Systems 231-243 October (2021)

Editorial Board of Information Systems Education Journal

ceccucci

(2021)

Peer Reviewed Presentations

Predicting Post-Operative Falls After Total Hip and Knee Anthroplasty: A machine Learning Algorithm

Belniak, R., McCarthy, R., Connors, J., Ceccucci, W., Rossetti, M., Cremins, M., Velansky, S., Palumbo, K., Cataw, K.

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

Peer Reviewed Journal

Job and Career Satisfaction of Software Engineers

Peslak, A., Ceccucci, W., Sendall, P.

14(1) Journal of Information Systems Applied Research 14-23 March (2021)

Peer Reviewed Proceedings

Can you Predict the Money Laundering Cases?

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

EdsigCon (2020)

Peer Reviewed Journal

Undergraduate Business Analytics and the Overlap with Information Systems Programs

Ceccucci, W., Jones, K., Toskin, K., Leonard, L.

18(4) Information Systems Education Journal 22-32 (2020)