The Influencing Factors of University Management’s Big Data Technology Adoption

Abstract

Big data is a widely used technology that can achieve apparent results in the digital era. In recent years, the scale of Chinese colleges and universities has gradually expanded, and the management difficulty has further increased. In the context of increasingly complex scenarios and rising business needs, it is imperative for university management to make reasonable use of big data technology. There are many factors affecting the use of big data technology in university management, which is the primary purpose of this paper. The quantitative method is applied in this study. Descriptive statistics such as frequency, percent frequency, mean, and standard deviation are introduced. Various inferential statistical methods are used to test the hypothesis, particularly the Independent Samples t-test, the One-way ANOVA, and the Multiple Linear Regression analysis. The results obtained from the study indicate that differences in Monthly Income, Working Position, and Working Experiences generate differences in Big Data Technology Adoption. The Multiple Linear Regression analysis found that the University Technical Level, University Organizational Level, and University Environmental Level positively impact Big Data Technology Adoption.