DSU research impacts national conference

October 21, 2024

Dakota State University researchers made an impressive showing at a summer professional conference.

Professors and students from the College of Business & Information Systems, and one member of the College of Education & Human Performance, brought 11 presentations or publications to the American Conference on Information Systems (AMCIS) in Salt Lake City in August. Three were recognized as Top 25% publications at the conference.

"The fact that several DSU publications/presentations were recognized in the top 25% not only demonstrates that DSU faculty and students conduct cutting-edge research that contributes to theory and practice, but it is also a testament to the quality of such research," said Dr. Omar El-Gayar, professor in the College of Business & Information Systems. He was an author or co-author on eight of the 11 presentations.

AMCIS is one of the leading information systems conferences in the world. It is sponsored by the Association for Information Systems (AIS), the premier professional association for those involved with research, teaching, practice, and study of information systems worldwide. AIS's goal is to advance knowledge and promote excellence in the practice and study of information systems. Members come from 100 countries.

"AIS is a premier organization for individuals and organizations who lead the research, teaching, practice, and study of information systems worldwide," said El-Gayar. "Publishing and participating in AIS venues such as AMCIS is an excellent opportunity for our students to become part of the IS community, engaging in the vibrant exchange of ideas, and networking with leading researchers and thinkers in the field. The opportunity is an integral part of shaping the experiences of our students as they strive to excel as researchers, practitioners, and teachers."

AIS sponsors the American Conference on Information Systems (AMCIS) to address challenges surrounding digital equity and social entrepreneurship. This conference seeks to pave the way for a more equitable and socially conscious digital future by acknowledging these challenges and collectively exploring solutions.

"In today's world, data drives decisions in nearly every field, from healthcare and education to business and government. Understanding how to properly collect, analyze, and apply this information is crucial for professionals and even average citizens," said El-Gayar.

"With the right knowledge, we can harness the power of data to solve complex problems, improve efficiency, and create more informed policies. Misusing or misunderstanding data, however, can lead to poor outcomes, inefficiencies, or even harm. It's more important than ever for everyone to be data-literate, ensuring we use this resource responsibly and effectively."

College of Business and Information Systems faculty, along with others, made presentations or had publications included in the proceedings for AMCIS, including:

1. "Gamifying Online Discussions: A Model for Improving Engagement Using Leaderboards" - Brian Bovee, Cherie Noteboom, Kevin Smith, and Omar El-Gayar (Note: Recognition in AMCIS 2024 Top 25%)
2. "Exploring the Impact of Blockchain Integration on Inventory Accuracy and Supply Chain Efficiency - A Literature Review" - Aravindh Sekar, Deb Tech, and Cherie Noteboom
3. "Generative Adversarial Networks in Fraud Detection: a Systematic Literature Review - Man Wang and Omar El-Gayar
4. "Exploratory Study on the Impact of Blockchain Integration Adoption on Inventory Accuracy and Supply Chain Efficiency" - Aravindh Sekar and Deb Tech
5. "Dark Side of GenAI: A Blackbox Analysis of X" - Ahmed Elnoshokaty, Tareq Nasralah, Omar El-Gayar, Mohammad Al-Ramahi, and Abdullah Wahbeh
6. "The Impact of Organizational Culture on AI adoption and Organizational Performance: A Mixed Methods Approach" - Wilfred Mutale and Omar El-Gayar
7. "AI Capability and Supply Chain performance: A Systematic Literature Review" - Lordt Beckline and Omar El-Gayar (Note: Recognition in AMCIS 2024 Top 25%)
8. "A Comparative Analysis of the Interpretability of LDA and LLM for Topic Modeling" - Omar El-Gayar, Mohammad Al-Ramahi, Abdullah Wahbeh, Tareq Nasralah, and Ahmed Elnoshokaty
9. "Weed Detection using Lightweight DL models with Transfer Learning & Hyperparameter Optimization" - Ali Shaheen and Omar El-Gayar
10. "Factors Affecting Users' Satisfaction with Telehealth Apps: Analysis of User Reviews using BERT" - Abdullah Wahbeh, Tyler Howes, Omar El-Gayar, Raed Seetan, Mohammad Al-Ramahi, and Ahmed Al-Omari
11. "Impact of Dataset Size and Transfer Learning on Truncated Lightweight Architecture" - Rajesh Godasu, David Zeng, and Kruttika Sutrave (Note: Recognition in AMCIS 2024 Top 25%)

In addition, Aravindh Sekar, Deb Tech, Patti Brooks, and Cherie Noteboom had a publication in Volume 25 of the Issues in Information Systems (IIS) journal, titled "Factors influencing blockchain implementation in supply chain management - An exploratory pilot study."

And Shaheen, A., & El-Gayar, O. (2024). Weed Detection using Lightweight DL models with Transfer Learning & Hyperparameter Optimization. AMCIS 2024 Proceedings.