## 4 Research Model and Hypothesizes
### Experience  
Many studies found that the use of experience in investigating a specific technology serve as an important factor to determine its acceptance. This indicates that technological acceptance is influenced by experiences. In other words, experience will say whether any technology is useful and easy to use. Hence, experience of expected or related technologies will lead to the estimation of their acceptance. Other research has shown that greater technology usage contributes to greater familiarity and that \"people with more computer experience tend to have fewer negative feelings towards the technology\" [60]. [PERSON] et al. [21] confirmed that new technology experience has affected the intensity of the effects of effort expectancy, social influence and the facilitating conditions of the intention to use new technology [21]. The ease of use becomes less important in predicting the user's behavioral intentions after many years of technology experience. This led to the first hypothesis of this study:  
**H1. **: _The user's experience of using the smart meter negatively moderates the influence of effort expectancy on behavioural intention to use the smart meter._  
A meta-analysis study confirmed that users with low experience of using the technology need conditions that are more favourable than users with higher experience levels. [61]. However, in the work of [18] the moderating role of experience on the influence of facilitating conditions on behavioral intention was not found to be significant., the facilitating conditions is the degree to which a user believes that the technical infrastructure exists to support the use of smart meter. Nevertheless, in this study, since the smart meters were mounted and used for two years, the experience will be evaluated at once. Hence, it is anticipated that the influence of the experience moderator on the whole research model will be significant, especially on the effect of facilitating conditions on behaviour intention. This led to the second hypothesis of this study:  
**H2. **: _The user's experience of using the smart meter positively moderates the influence of facilitating conditions on behavioural intention to use the smart meter._  
[PERSON] et al. [21] reported that users with good experience of using the technology are less impacted by the social influence. Instead of social influence, users with a greater degree of experience are practically driven. [18]. Hence, the effect of social influence on behavior intention will decrease if the experience increases. Thus, the proposed third hypothesis of this study is as follows:  
**H3. **: _The user's experience of using the smart meter negatively moderates the impact of social influence on behavioural intention to use the smart meter._  
It was noticed that experience strengthens the habit. [PERSON] et al. [62] stated that due to the repeated behaviour, the relationship between experience and habit is shaped and improved [63]. The work of [64] has also reported the greater impact of habit on behavioural intention and actual use of smart metering with customers who have more experience. Hence, the experience moderator is hypothesized as follows:  
**H4. **: _The user's experience of using the smart meter positively moderates the impact of habit on behavioural intention to use the smart meter._  
With more experience, behavioral intention to use a particular technology would be decreased. [PERSON] et al. [65] pointed out that having extensive experience in the use of technology would contribute to automatic routine behaviour. As experience increases, the effect of habit on the use of technology can decrease. [18]. Therefore, the experience moderator is hypothesized as follows:  
**H5. **: _The user's experience of using the smart meter negatively moderates the impact of habit on smart meter use behaviour._  
Experience develops sense of knowledge and risk awareness.