The unprecedented increase in the amount of data available for processing, coupled with recent advancements in intelligent technologies such as machine learning, large language models, generative AI, and design science for decision-making, has created novel, innovative opportunities for individuals, organizations, and society. These developments are making a huge impact across industries (e.g., healthcare, finance, energy, retail, and sports) when engaging in complex analytical tasks. The ability to manage big data and generate insights through these advanced technologies is also leading to significant organizational transformation. At a higher level, big data and analytics applications, driven by these innovations, are fostering positive societal impacts in areas such as health and well-being, poverty mitigation, food security, energy sustainability, and social entrepreneurship, contributing to a better future. The power of big data and data science applications in general is evident through the enormous attention that the creation and application of new data science approaches, such as machine learning, natural language processing, large language models, deep learning, and cognitive computing, are receiving. Businesses are creating innovative applications of advanced analytics by focusing on solving technical and business problems. However, the challenge of using these advanced technologies and data science applications for decision support, while ensuring digital equity and promoting social entrepreneurship, still remains. All stakeholders, including individuals, businesses, and governments, may need to come together to bridge digital inequity and foster societal transformation by building a more inclusive and responsible data ecosystem.

Track Chairs:
Shwadhin Sharma, California State University Monterey Bay
Vic Matta, Ohio University
Amir Zadeh, Wright State University

Schedule
2025
Friday, August 15th
12:00 AM

A Cross-Regulatory Framework for Data and Technology Management: Addressing Data Protection Regulations and Ethical Considerations

Fangzhou Yu, University college of cork
Fergal Carton, University College Cork
Huanhuan Xiong, University College Cork

12:00 AM

AI in Forecasting: A Missing Component in ERP Systems?

Sebastian Junghans, Westsächsische Hochschule Zwickau
Tim Neumann, Business Administration
Tobias Teich, Wirtschaftswissenschaften

12:00 AM

An Evolutionary AI Approach for Hub-Location Decisions: Leveraging Genetic Algorithms for Sustainable Supply Chains

Derya Ipek Eroglu, SUNY Brockport
Duygu Pamukcu, Providence College

12:00 AM

An Oath for the Data Professional

Mael van Dijk, HU University of Applied Sciences
Marlies van Steenbergen, HU University of Applied Sciences
Pascal Ravesteijn, HU University of Applied Sciences

12:00 AM

Anti-Kinetosis: A Hybrid Analytics Approach for Motion Sickness Detection in Software-Defined Vehicles

Xiangwei Cheng, Ferdinand-Steinbeis-Institut
Daniel Burkhardt, Ferdinand-Steinbeis-Institut
Dirk Slama, Ferdinand-Steinbeis-Institute
Ismail Gharsallah, Ferdinand-Steinbeis-Institut

12:00 AM

Application of Generative AI in Summarizing Online Reviews: A Prompt Engineering Approach

Pradyumn K. Tendulkar, Worcester Polytechnic Institute
Nima Kordzadeh, Worcester Polytechnic Institute

12:00 AM

Artificial Intelligence Governance: Legal and Regulatory Issues

Yuzhou Qian, City University of Hong Kong
Keng Siau, Singapore Management University

12:00 AM

Automating Qualitative Data Analysis with Chain-of-Thought Reasoning Models: A Study with the Gioia Method

Joonatan Laato, University of Turku
Matti Mäntymäki, University of Turku
Bastian Kordyaka, Åbo Akademi University
Samuli Laato, University of Turku

12:00 AM

Better Understanding Healthcare Insurance Disparities in the United States: Design Science and Spatial Analytics

Javier Aguilar, Claremont Graduate University

12:00 AM

Bitcoin Price Forecasting with Decision Trees and Random Forests: Evidence of Market Efficiency

Yen-Sheng Lee, Colorado Mesa University
Ace Vo, Loyola Marymount University

12:00 AM

Building Trust in Data-Driven Decision-Making: A Multi-Level Framework

Grant Oosterwyk, University of Cape Town
Jenny Elo, University of Jyväskylä
Laura Watkowski, Branch Business & Information Systems Engineering of the Fraunhofer FIT

12:00 AM

Curvature-Informed Local Explanations (CILE): Improving Stability and Trustworthiness in Explainable AI

Nolan M. Talaei, University of Massachusetts Lowell
Asil Oztekin, UMass Lowell
Hongwei Zhu, UML
Luvai F. Motiwalla, U MASS Lowell
Anol Bhattacherjee, University of South Florida
Salih Tutun, Washington University in St Louis

12:00 AM

Detecting Drug Overdose on Social Media Using a Multi-Task Deep Learning Framework

Lionel Z. WANG, The Hong Kong Polytechnic University
Tingyu He, University of Washington
Ka Chung Boris Ng, Hong Kong Polytechnic University
Michael Chau, The University of Hong Kong

12:00 AM

Enhancing Environmental, Social, and Governance Insights with Structured Knowledge Graphs and Advanced Query Analysis

Milad Olad, Goodman School of Business
Ehsan Khaksar, Goodman School of Business
Maryam Ghanbari, Computer Science, Brock University
Leila Tahmooresnejad, Goodman School of Business
Anteneh Ayanso, Brock University
Robert Lytle, Rel8ed Analytics
Ryan Hilimoniuk, Rel8ed Analytics

12:00 AM

Examining the Influence of Artificial Intelligence (AI) Adoption on Operational Decision-Making

Dereje Ferede, Addis Ababa University
Solomon Negash, Kennesaw State University

12:00 AM

Framework for Benchmarking Machine Learning Models: Integrating Performance Metrics, Explainability Techniques, and Robustness Assessments

Deependra Malla, Dakota State University
Omar El-Gayar, Dakota State University

12:00 AM

From Obscure to Five-Star: The Impact of Writing a Bio on Ratings

Md Jabir Rahman, Oklahoma City University
Harsha sammangi, Dakota state university
Samira Rahman, The University of Oklahoma

12:00 AM

GTM Approaches with Humans and LLM

Marvin Adjei Kojo Lomo, UNC Greensboro
A. F. Salam, UNC Greensboro

12:00 AM

Increasing Generative AI Effectiveness through Triangulation: The Case for the Future of Work

Charlie J. Strohm, Ohio University
Vic Matta, Ohio University
Gaurav Bansal, Ohio University

12:00 AM

Information Quality in the AI Era

Araz Jabbari, Université Laval
Roman Lukyanenko, University of Virginia
Attila Hertelendy, Florida International University
Binny Samuel, University of Cincinnati
Rohit Nishant, Queen's University Belfast

12:00 AM

Mapping the STARS: Using Machine Learning to Advance Higher Education Sustainability Efforts in the United States

Isabella Guhl Erdie, The College of New Jersey
Abhishek Tripathi, The College of New Jersey
Shamiere Contant, The College of New Jersey
Daniel Bodine, The College of New Jersey

12:00 AM

Multi-Dimensional Bias Analysis in LLMs Using Hierarchical and Interaction Models

Basil Syed, Brock University
Daniel Arana Charlebois, Brock University
Naser Ezzati-jivan, Brock University
Leila Tahmooresnejad, Goodman School of Business
Anteneh Ayanso, Brock University

12:00 AM

Navigating Sentiment Complexity: Exploring the Rational-Emotional Spectrum and Intergroup Dynamics in Social Media Engagement

Lingshu Hu, Washington and Lee University
Dr. Rui Sun, Mercer University
Dr. Kennon M. Sheldon, University of Missouri

12:00 AM

Optimizing Educational Program Admissions: LLM Multi-Agent Approach

Aida Sanatizadeh, Northern Illinois University
Ali Tafti, University of Illinois at Chicago

12:00 AM

Review Helpfulness Revisited: A Utility Theory Approach to Model the Relationship Between Sentiment and Helpfulness

Mehmet Akgul, Stockton University
Ozgur Turetken, Toronto Metropolitan University

12:00 AM

Revolutionizing Alzheimer’s Diagnosis: A Hybrid Deep Learning Approach for Enhanced MRI Analysis

Hassan A. Ahmed, Cleveland State University
Syed Hamza Ahmed, Velera Solutions, Inc
Kyle Nash, Cleveland State University

12:00 AM

Separating the Art from the Artist? Evidence From Social Media and Online Reviews as Responses to Transgressions of Actors

Dongliang Sheng, Concordia University
Kunsoo Han, McGill University
Warut Khern-am-nuai, McGill University

12:00 AM

The Evolution of Guest Experiences on Airbnb: Insights from Repeated Reviews

Mohsen Goshadehroo, Allameh Tabataba'i University
Asal ABBASI BASTAMI, Sharif University of Technology
Masoud Salehi, Iowa State University
Amirhossein Adibi, Research Branch of Islamic Azad University

12:00 AM

The Role of Generative AI in Marketing: A Review and Analysis of the Status Quo

Prithvi Bhattacharya, University of Wollongong in Dubai

12:00 AM

Visualizing Intersecting Sets: Information Systems Applications in Academia and Business

Yuanyuan Song, Marquette University
Matthias Tuczek, Leibniz Universität Hannover
Richard T. Watson, Digital Frontier Partners

12:00 AM