معرفی
Dr. Geoffrey Hubona is an Associate Professor at Texas A&M International University, specializing in Information Science. He teaches courses like MIS 5330: Advanced Programming, focusing on programming in R, data science applications, and statistical modeling. His career spans over three decades in academia, with full-time tenure-track roles at four major U.S. state universities since 1993.
Education includes a Ph.D. in Information Systems and Decision Sciences (University of South Florida, 1993), an MBA in Financial Management (George Mason University, 1979), and dual B.A. degrees in Sociology and Psychology (George Mason University and University of Virginia). Prior to academia, he worked in the Washington, D.C., IT sector.
Research interests center on structural equation modeling (SEM, PLS-SEM), technology acceptance models, e-health services, and data science education. He emphasizes methodological rigor in information systems research and has contributed widely to understanding cultural impacts on technology adoption in developing nations.
Teaching philosophy emphasizes perseverance in learning IT, with course objectives focused on coding proficiency, data manipulation, and simulation modeling in R. He advocates formal IT education as a critical tool for professional advancement across industries.
