Wendy A. Ceccucci

Wendy A. Ceccucci is a Professor and chair of the Computer Information Systems Department at Quinnipiac University, where she has served for 26 years. Her expertise spans Business Analytics, Information Systems, and Data Science, with leadership in curriculum development for business analytics programs including the Masters of Business Analytics. She teaches core courses such as Data Visualization, Predictive Modeling, and Optimization while maintaining active research in healthcare analytics and IT workforce dynamics.

Her academic credentials include:

• BS in Math-Computer Science from Union College
• MA from Virginia Polytechnic Institute & State University
• PhD from Virginia Polytechnic Institute & State University

Dr. Ceccucci's research focuses on the intersection of data science and human factors, particularly in IT workforce studies and healthcare applications. Her work examines developer job satisfaction, mental health impacts on compensation, blockchain education, and AI tool adoption. She develops predictive models for critical healthcare outcomes like post-surgical falls while advancing analytics education through textbook authorship and conference leadership. Her research consistently bridges technical analytics with real-world business and healthcare challenges.

Analysis of her 15 most recent publications (2021-2024) reveals three dominant research trajectories: (1) IT workforce studies examining job satisfaction, mental health, and compensation across global developer populations; (2) Healthcare analytics applying machine learning to predict and prevent adverse outcomes like post-surgical falls; and (3) Emerging technology education focusing on blockchain curriculum development and AI tool adoption in business contexts. Her methodology combines quantitative analysis with practical case studies, often collaborating across disciplines including healthcare and economics.

Her significant recognitions include:

• Induction as EDSIG-AITP Fellow (2018) for contributions to information systems education
• Tableau Desktop Specialist certification validating technical expertise

Dr. Ceccucci actively shapes her field through editorial service on the Information Systems Education Journal and leadership in the EDSIG conference community. She mentors students through courses like BAN 650 Data Visualization for Managers and PMBA 626 Data Driven Decisions, while developing innovative teaching cases such as the award-winning healthcare management predictive analytics case. Her current grant activities focus on integrating blockchain and AI into business analytics curricula, with upcoming presentations at ISCAP 2024.