It is imperative to do Data screening. The process involves checking for and dealing with missing data, which can be done by checking for the frequencies or using the “COUNTBLANK” function in excel. You need to check for the engaged and ungagged respondents to determine outliers. Then check for normality, Linearity, Homoscedasticity, and Multicollinearity.

Te next step is to do Exploratory Factor Analysis to get the pattern matrix, which you can use, together with AMOS, to do the Confirmatory Factor Analysis to determine the factor structure of your dataset.

For details on the above, check the link below.

http://statwiki.kolobkreations.com/index.php?title=Data_screening

Regards

I advise that you adequately study the UTAUT2 model and see how it fits into your study. I am not sure of the constructs you are using. However, In addition to the construct relationships proposed in the original UTAUT, hedonic motivation and price value can determine behavioral intention. Habit can influence both behavioral intention and usage behavior. Again, facilitating conditions can affect behavioral intention.

So, with regards to whether the model can be used to determine the intention of use (for mobile banking, for example), you can make the hypothesis:

• Performance expectancy positively influences people’s behavioral intention to adopt mobile banking.
• Effort expectancy positively influences people’s behavioral intention to adopt mobile banking.
• Social influence positively influences people’s behavioral intention to adopt mobile banking.
• Facilitating conditions positively influence people’s behavioral intention to adopt mobile banking.
• Facilitating conditions influence people’s adoption of mobile banking.
• Hedonic motivation positively influences people’s behavioral intention to adopt mobile banking.
• Price value positively influences people’s behavioral intention to adopt mobile banking.

Read this article and adopt:

https://www.tandfonline.com/doi/full/10.1080/10494820.2019.1674888

https://link.springer.com/article/10.1007/s10209-019-00685-8

Regards

Dear Adasa Nkrumah,

I am unable to mention you in my comment the website is bugged.

Thank you very much for this detailed answer, it was really helpful to clarify the extensions of UTAUT.

However my main concern is being able to detect the actual intention to use and now analysing the effect of the factors affecting it. Maybe I shouldn't use the survey from UTAUT2 or UTAUT to analyse that?

I need a model / survey to be able to see how much people are intending to use a technology.

Does it mean that the surveys used in UTAUT and UTAUT2 are not to determine the intention to use but to test the validity of the model and how much every factor affects the intention to use?

If yes, is there any survey or model that can be used to determine the people's intention to use?