The Impact of Knowledge Acquisition, Knowledge Sharing, and Technology Acceptance Factors on Generative AI Adoption in Higher Education Institutions

Generative AI (Gen-AI) tools affect the way higher education works. It improves the productivity and creativity of both students and academics. The government in Saudi Arabia is working to improve its higher education system by investing billions of dollars in AI projects to support the development of socio-economic and achieve a transformation from an oil-based to a knowledge-based economy. The current study aims to identify and examine knowledge acquisition, knowledge sharing, and technology factors that influence Gen-AI adoption in higher education institutions among Saudi academic staff. Thus, the current research-in-progress paper discusses how a particular set of knowledge acquisition, knowledge sharing, and technology factors can support the achievement of Gen-AI adoption in Saudi Arabian higher education institutions. Therefore, this study develops a conceptual framework based on the literature on knowledge acquisition, knowledge sharing, and technology acceptance in HEIs, with the ultimate aim of examining the behavioural intention to adopt Gen-AI in Saudi Arabian HEIs.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Impact of Knowledge Acquisition, Knowledge Sharing, and Technology Acceptance Factors on Generative AI Adoption in Higher Education Institutions

Journal of the Association for Information Systems
Organizational and Employee Performance
article

The Impact of Knowledge Acquisition, Knowledge Sharing, and Technology Acceptance Factors on Generative AI Adoption in Higher Education Institutions

article en

Abstract

Generative AI (Gen-AI) tools affect the way higher education works. It improves the productivity and creativity of both students and academics. The government in Saudi Arabia is working to improve its higher education system by investing billions of dollars in AI projects to support the development of socio-economic and achieve a transformation from an oil-based to a knowledge-based economy. The current study aims to identify and examine knowledge acquisition, knowledge sharing, and technology factors that influence Gen-AI adoption in higher education institutions among Saudi academic staff. Thus, the current research-in-progress paper discusses how a particular set of knowledge acquisition, knowledge sharing, and technology factors can support the achievement of Gen-AI adoption in Saudi Arabian higher education institutions. Therefore, this study develops a conceptual framework based on the literature on knowledge acquisition, knowledge sharing, and technology acceptance in HEIs, with the ultimate aim of examining the behavioural intention to adopt Gen-AI in Saudi Arabian HEIs.

Journal of the Association for Information Systems
Openalex Percentile: Top 55%
Organizational and Employee Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The Impact of Knowledge Acquisition, Knowledge Sharing, and Technology Acceptance Factors on Generative AI Adoption in Higher Education Institutions · Journal of the Association for Information Systems (2024) | TGRS Research Map | TGRS