THE INFLUENCING FACTORS OF UNIVERSITY MANAGEMENT'S BIG DATA TECHNOLOGY ADOPTION

Big data is one of the most popular concepts and technologies in recent years. It has brought profound influence to our work, life, and study (Liu & Zhou, 2018). There are many factors affecting the use of big data technology in university management particularly the TOE (technology, organization, and environment) factor. Therefore, this paper aims to investigate the impacts of these TOE factors together with the demographic factors on the big data technology adoption. The quantitative method is applied in this study based on questionnaires which is designed in bilingual English and Chinese. The local university administrators of Yunnan Vocational College of Economy and Trade are used as population in this paper. The results obtained from the study indicate that differences in monthly income, working position, and working experiences generate differences in Big Data Technology Adoption. Based on the Multiple Linear Regression Analysis, it is found that University Technological Context, University Organizational Context, and University Environmental Context have positive impacts on Big Data Technology Adoption.

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Publication Details

Journal
RMUTT Global Business and Economics Review
Published
2025-04-01
DOI
https://doi.org/10.60101/rmuttgber.2025.278190
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

THE INFLUENCING FACTORS OF UNIVERSITY MANAGEMENT'S BIG DATA TECHNOLOGY ADOPTION

Chao Shao, Surachai Traiwannakij
RMUTT Global Business and Economics Review
Technology Adoption and User Behaviour
article

THE INFLUENCING FACTORS OF UNIVERSITY MANAGEMENT'S BIG DATA TECHNOLOGY ADOPTION

Chao Shao, Surachai Traiwannakij
article en

Abstract

Big data is one of the most popular concepts and technologies in recent years. It has brought profound influence to our work, life, and study (Liu & Zhou, 2018). There are many factors affecting the use of big data technology in university management particularly the TOE (technology, organization, and environment) factor. Therefore, this paper aims to investigate the impacts of these TOE factors together with the demographic factors on the big data technology adoption. The quantitative method is applied in this study based on questionnaires which is designed in bilingual English and Chinese. The local university administrators of Yunnan Vocational College of Economy and Trade are used as population in this paper. The results obtained from the study indicate that differences in monthly income, working position, and working experiences generate differences in Big Data Technology Adoption. Based on the Multiple Linear Regression Analysis, it is found that University Technological Context, University Organizational Context, and University Environmental Context have positive impacts on Big Data Technology Adoption.

RMUTT Global Business and Economics ReviewVol. 20(1)
Rajamangala University of Technology Krungthep (TH)
Openalex Percentile: Top 93%
Technology Adoption and User Behaviour
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