INFLUENCING FACTORS OF DATA REUSE INTENTION OF SOCIAL SCIENCE RESEARCHERS: A STRUCTURAL EQUATION MODELING APPROACH
Keywords:
Data Reuse, Intention to Reuse, Data Repository, Structural Equation Modeling, Social ScienceAbstract
This research aims to explore the influencing factors of data reuse intention of 500 social science researchers in Sichuan, China. Based on the theory of planned behavior (TPB), technology acceptance model (TAM), and extended technology acceptance model (ETAM), this study constructs a research model based on information quality, service quality, subjective norms, data repositories, perceived effort, and intention to reuse data. This quantitative study employs sample techniques, using purposive, quota and convenience sampling. Confirmatory Factor Analysis (CFA), and Structural Equation Model (SEM) were used to analyze the data and examine the research hypotheses. Results show that all hypotheses were approved, except the relationship between perceived ease of use and perceived usefulness. In conclusion, all significant factors should be intervened in the early stage of data sharing and reuse to facilitate the smooth development of data sharing and reuse in the later stage.
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