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Four dimensions of intention towards counterfeit products Essay

Four dimensions of intention towards counterfeit products, 461 words essay example

Essay Topic:summary,literature,research,risk

We can see that in only the clothes, more people prefer counterfeits. It is also obvious that now a days, counter clothes are on high demand as consumers gets to buy fashionable clothes at a lower price.
However, when it comes to health no one wants to take risk, Students of SZABIST also do not prefer counterfeited medicines. Counterfeit bags show an unrealistic frequency, that most people don't prefer counterfeit bags, which is not the case in reality as our literature suggests that counterfeit bags are very common and are always on high demand.
4.3. Inferential Analysis
We are measuring four dimensions of Intention towards Counterfeit products, attitude, subjective norm and behavioral control using factor analysis and following are the KMO and Bartlett's test.
4.3.1 Factor Analysis
Attitude
This construct is significant as KMO (keiser mayer olkien measure of sampling adequacy) is 0.739, which is greater than 0.5 and Bartlett's test shows the significance of 0.000 which is less than 0.05.
Out of the 22 components of Attitude mentioned above, only 6 are contributing to the Purchase intention so we'll be using only those 6 for the Regression analysis.
Subjective Norm
The KMO for Subjective norm is exactly 0.5 which means it's somehow significant however, Bartlett's test shows significance of 0.838 which is very high. Therefore, this component, Subjective Norm is not contributing much to the Intention.
Total Variance Explained shows that out of the two, only one component is significant. However, we'll take both of them for Regression analysis because they are already just two.
Behavioral Control
For Behavioral Control, KMO is exactly 0.706 which means it's significant and Bartlett's test shows significance of 0.00 which shows that this construct is contributing to the Intention.
Total Variance Explained shows that out of the three, only one component is significant. However, we'll take both of them for Regression analysis because they are already three only.
4.3.2 Regression Analysis
For regression analysis, the dependent variable is the Intention and the independent variables are Attitude, Subjective Norm and Behavioral Control.
Attitude
According to the model summary, Attitude is significant as the value, 0.025, is lesser than 0.05. Therefore, we will include it in the regression line and the beta for Attitude is 0.255. However, Adjusted R square is 0.068, which means attitude can explain Intention up to 6.8% only.
Subjective norm
According to the model summary, Subjective norm is not significant as the value, 0.260, is lesser than 0.05. Therefore, we will not include it in the regression line. The adjusted R square is 0.005, mean that subjective norm can explain intention by only 5%.
Behavioral Control
According to the model summary, Behavioral control is not significant as the value, 0.727, is greater than 0.05. Therefore, we will not include it in the regression line. Adjusted R square is -0.015, which means behavioral control has failed to explain purchase intention.
The Regression Line for our research will only have Attitude, therefore, the equation will be- y = 0.255x + 1.86.

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