Journal of the Midwest Association for Information Systems (JMWAIS)
Most Popular Papers *
Evaluating Project Characteristics for Selecting the Best-fit Agile Software Development Methodology: A Teaching Case
Yousra Abdo Harb, Cherie Noteboom, and Surendra Sarnikar
Criminalizing Deepfakes: A Comprehensive Review of US Legislative Responses to Synthetic Media Abuse
J Royce Fichtner and Troy J. Strader
A Review of Machine Learning Approaches for Real Estate Valuation
THOMAS H. ROOT, Troy J. Strader, and Yu-Hsiang (John) Huang
AI-Assisted Bettors: Analyzing AI-Driven Betting Behavior through Cluster Analysis
Steve A. Schilhabel Dr.
The Implications of AI and Generative AI for Teaching and Learning
Rassule Hadidi and Barbara D. Klein
Integrating Generative AI in Business Education: A Structured Review for Developing a Strategic Framework and Addressing Research Gaps
Katryna M. Johnson
Call Me BIG PAPA: An Extension of Mason’s Information Ethics Framework to Big Data
Jacob Young, Tyler J. Smith, and Shawn H. Zheng
Exploring Faculty and Students’ Ethical Uses of GAI in Teaching and Learning Focusing on Bloom’s Taxonomy and the Needed Skills Development
Rassule Hadidi and Barbara D. Klein
Using Individual Decision, Economic, and Health Status Data to Predict Health Checkup Behavior
Neetu Singh, Apoorva Kanthwal, Prashant Bidhuri, and Anusha Vijaykumar Munnolli
Amplified Intelligence in the Classroom: An Exploratory Study of Generative AI’s Psychological and Pedagogical Effects
Steve A. Schilhabel Dr., John M. Muraski, Meena Subedi Dr., and Balaji Sankaranarayanan
Artificial Intelligence as a University Graduation Requirement: Advantages, Disadvantages, and Opportunities
Barbara D. Klein and Rassule Hadidi
Enterprise Computer Security: A Literature Review
Dennis C. Acuña
On Higher Education, the Workplace of the Future, and Generalized Large Language Models: Research Questions in a Time of Technological Change and Adaptation
Barbara D. Klein and Rassule Hadidi
Digital and Non-Digital Distractions for IT Professionals’ Remote Work
Makoto Nakayama, Charlie C. Chen, and Yoris Au
Technology Adoption and Disruption -- Organizational Implications for the Future of Work
Rassule Hadidi and Daniel Power
From Users to Innovators: Making the Case for Lead UX in IS
Javad Norouzi Nia, Vishal Shah, and Gustav Verhulsdonck
Human Activity Recognition: A Comparison of Machine Learning Approaches
LOKNATH SAI AMBATI and Omar El-Gayar
Leveraging Synthetic Data from Generative Models for Snow Detection in Data-Scarce Environments
Ricardo de Deijn and Rajeev Bukralia
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» Updated as of 09/18/26.