The Influence of Personal Innovation in Information Technology (PIIT) and Factors on Behavior Intention of 3DBody Anatomy Software in Liaoyang Vocational and Technical College
Abstract
Background and Aim: This research explores the key factors influencing nursing students' intention to use 3D body anatomy software at Liaoyang Vocational and Technical College, China. Based on these models, seven hypotheses and seven latent variables were proposed: Personal Innovation in Information Technology (PIIT), Performance Expectancy (PE), Effort Expectancy (EE), Subject Norms (SN), Attitude (ATT), Perceived Behavior Control (PBC), and Behavior Intention (BI).
Materials and Methods: This study adopts a quantitative method, through an operationalized questionnaire, and conducts reliability and validity tests. The sampling method is purposive sampling and stratified sampling. Data analysis was performed through confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Results: The research findings indicate that all hypotheses are supported, with effort expectancy exerting the most significant influence on behavioral intention. The results show β =0.320, p < 0.001. This result indicates that EE has the greatest impact on BI. Next are Performance Expectancy (PE), Attitude (ATT), Subject Norms (SN), and Perceived Behavior Control (PBC). PIIT also shows a significant positive impact on PE and EE.
Conclusion: This study indicates that in the comprehensive prediction of vocational nursing students' behavioral intention to use the 3Dbody anatomy software, performance expectancy (PE), effort expectancy (EE), subjective norm (SN), attitude (Att), and personal innovativeness (PIIT) all have a significant impact on behavioral intention (BI). According to the research results, software designers can simplify operations, while teachers can enhance students' confidence through guided learning. These improvements can enhance the user experience, thereby increasing students' adoption intention and usage retention.
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