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

Authors

  • Chunmei Shao Institute of Science Innovation and Culture, Rajamangala University of Technology Krungthep, Bangkok, Thailand
  • Surachai Traiwannakij Institute of Science Innovation and Culture, Rajamangala University of Technology Krungthep, Bangkok, Thailand

DOI:

https://doi.org/10.60101/rmuttgber.2025.278190

Keywords:

Big Data Technology Adoption, University Technological Context, University Organizational Context, University Environmental Context

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.

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Published

01.04.2025

How to Cite

SHAO, C.; TRAIWANNAKIJ, S. THE INFLUENCING FACTORS OF UNIVERSITY MANAGEMENT’S BIG DATA TECHNOLOGY ADOPTION. RMUTT Global Business and Economics Review, Pathum Thani, Thailand, v. 20, n. 1, p. 17–37, 2025. DOI: 10.60101/rmuttgber.2025.278190. Disponível em: https://so03.tci-thaijo.org/index.php/RMUTT-Gber/article/view/278190. Acesso em: 15 apr. 2025.

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Section

Research Articles