Work

A hybrid SEM-ANN approach to predicting generative AI use in higher education through knowledge management

Year: 2026

Type: article

Abstract: This study investigated the impact of “knowledge management” (KM) practices on the integration of Generative Artificial Intelligence (Gen-AI) in higher education institutions (HEIs). The research model extended the “Theory of Planned Behavior” (TPB) with KM factors and was validated using a mixed SEM-ANN approach based on data from 584 undergraduate students. PLS-SEM results revealed that attitude, subjective norms, and perceived behavioral control significantly predicted continuance intention. Moreover, KM factors, including “knowledge acquisition,” “knowledge application,” and “knowledge sharing,” significantly predicted students’ attitudes. Furthermore, ANN findings revealed that knowledge application was the most important factor in predicting attitudes. The findings provide important theoretical contributions to the existing literature and practical implications that can help understand the critical role of KM in the integration of Gen-AI in higher education institutions.

Source: Computers in Human Behavior Reports

DOI: 10.1016/j.chbr.2026.101044

Authors: Ibrahim Arpaci, Omer Gibreel, Mohammed A. Al-Sharafi

Institutions: Bursa Uludağ Üni̇versi̇tesi̇, Korea University, Gulf University for Science & Technology, King Fahd University of Petroleum and Minerals

Language: English

Topic: Artificial Intelligence in Education

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: gold

Estimated APC paid: $1,880