ABSTRACT
Virtual reality (VR) has developed rapidly, drawing more businesses to such development. Based on the diffusion of innovations theory (DIT), the study combines the flow theory and the satisfaction perspective to explore purchase intention influencing customers' adoption of the VR shopping platform system. This study found that satisfaction and flow experience enhance their purchase intention. In technological characteristics, relative advantage, service compatibility, spatial presence, and complexity are important in satisfaction. Among them, both relative advantage and spatial presence impact flow experience. Additionally, a cluster analysis based on gender was conducted, and the study found a significant difference between relative advantages, service compatibility, and complexity in women and men users. The flow experience is an important factor affecting women users' shopping intention, while insignificant for male users. The implications of these findings are discussed.
ABSTRACT
Although Virtual reality (VR) entertainment is now relatively popular, the adoption of VR devices is still low. In this study, a framework based benefit and sacrifice factors was developed to understand players' intention to use VR devices to play games. Online questionnaire items were developed and published to collect the responses from university students in Taiwan. The feedback of 152 inexperienced players and 150 experienced players were collected. The eleven hypotheses were tested by using SmartPLS, a structural equation modeling (SEM) tool. The analysis results show that the influences of the benefit factors (flow, spatial presence, and relaxation) on the adoption intention in two groups are consistent. All of the positive influences are supported. Moreover, visual fatigue had the strongest negative effects on flow and intention. Players who are opener to new technology are more possible to adopt VR devices. The findings can provide insights to VR device developers to design their VR devices/contents and marketing strategies.
ABSTRACT
Python language has become the most popular computer language. Python is widely adopted in computer courses. However, Python language's effects on the college and university students' learning performance, motivations, computer programming self-efficacy, and maladaptive cognition have still not been widely examined. The main objective of this study is to explore the effects of learning Python on students' programming learning. The junior students of two classes in a college are the research participants. One class was taught Java language and the other class was taught Python language. The learning performance, motivations, and maladaptive cognition in the two classes were compared to evaluate the differences. The results showed that the motivations, computer programming self-efficacy, and maladaptive cognition on the learning performance were significant in the Python class. The results and findings of this study can be used in Python course arrangement and development.
