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Table 4. Literature Support of Respective Fitness Index Table 5 in this research study is going to show the research fitness indexes found and their level of achievement.

Table 4 Literature Support of Respective Fitness Index Table 5 in this research study is going to show the research fitness indexes found and their level of achievement.

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As a result of past theories and model in the field of information system Venkatesh et al (2003) ATAUT was created. The model illustrates the relationship between exogenous variables, endogenous variables and moderators. Thus, the theory has four exogenous variables: Effort Expectancy, Performance Expectancy, Social Influence and Facilitating Condition. Two endogenous variables: Behavioral Intention and Use Behavior. Four Moderators: Age, Gender, Experience and Voluntariness of Use. -erformance Expectancy is the degree to which an individual believes that utilizing a articular system will benefit him in term of service (Venkatesh et al, 2003). It is lypothesized to moderate the impact on behavioral intention by moderators which are gender nd age (Alqudah, 2015). Verhoeven et al, (2010) applied UTAUT study computer frequency n 741 university Freshmen in Belgium and found that UTAUT was useful in explaining rarying frequencies of computer use and differences in information and communication echnology skills in secondary school and in the university.
As a result of past theories and model in the field of information system Venkatesh et al (2003) ATAUT was created. The model illustrates the relationship between exogenous variables, endogenous variables and moderators. Thus, the theory has four exogenous variables: Effort Expectancy, Performance Expectancy, Social Influence and Facilitating Condition. Two endogenous variables: Behavioral Intention and Use Behavior. Four Moderators: Age, Gender, Experience and Voluntariness of Use. -erformance Expectancy is the degree to which an individual believes that utilizing a articular system will benefit him in term of service (Venkatesh et al, 2003). It is lypothesized to moderate the impact on behavioral intention by moderators which are gender nd age (Alqudah, 2015). Verhoeven et al, (2010) applied UTAUT study computer frequency n 741 university Freshmen in Belgium and found that UTAUT was useful in explaining rarying frequencies of computer use and differences in information and communication echnology skills in secondary school and in the university.
Table 1. KMO and Bartlett’s Test for Sample Adequacy Sampling technique in this study is more concerned with the selection of a subset of target audience from within a statistical population in order estimate characteristics of the whole population (Chamber and Skinner, 2003). The sampling method that is used in this study is the convenience sampling technique which is a non-probability sampling method that is made up of people whom are easy to research (Etikan, 2016). The target population of this research study is international and local customer in Malaysia, who makes use of taxi hailing app in order to satisfy their transportation needs. Several ethical issues will be coming along the way of this research study from the primary data collection method which is mainly data cooking and data manipulation in order to answer the research objectives of this study.
Table 1. KMO and Bartlett’s Test for Sample Adequacy Sampling technique in this study is more concerned with the selection of a subset of target audience from within a statistical population in order estimate characteristics of the whole population (Chamber and Skinner, 2003). The sampling method that is used in this study is the convenience sampling technique which is a non-probability sampling method that is made up of people whom are easy to research (Etikan, 2016). The target population of this research study is international and local customer in Malaysia, who makes use of taxi hailing app in order to satisfy their transportation needs. Several ethical issues will be coming along the way of this research study from the primary data collection method which is mainly data cooking and data manipulation in order to answer the research objectives of this study.
Table 2. Reliability Test According to George and Mallery (2003), an excellent Cronbach’s Alpha for reliability test is measured above 0.9 nevertheless a good Cronbach’s Alpha for reliability test is measured (0.7 to 0.9). However, this research study dataset reliability test for the Cronbach’s Alpha i: ranged (0.771 to 0.936) which means that the research study has a reliable data.
Table 2. Reliability Test According to George and Mallery (2003), an excellent Cronbach’s Alpha for reliability test is measured above 0.9 nevertheless a good Cronbach’s Alpha for reliability test is measured (0.7 to 0.9). However, this research study dataset reliability test for the Cronbach’s Alpha i: ranged (0.771 to 0.936) which means that the research study has a reliable data.
www.macrothink.org/bms Table 3. Demographic Classification
www.macrothink.org/bms Table 3. Demographic Classification
According to Hair et al (2010) & Holmes-smith (2006); the comparative fit index (CFI), incremental fit index (IFI), normed fit index (NFI), tucker Lewis index (TLI) and normed chi-square have achieved the statistical level of acceptance. Nevertheless, the chi-square and the root mean square error of approximation (RMSEA) do not achieve the level of acceptance due to sample size (Ullman, 2001). Table 5. Construct Validity Fitness Indexes
According to Hair et al (2010) & Holmes-smith (2006); the comparative fit index (CFI), incremental fit index (IFI), normed fit index (NFI), tucker Lewis index (TLI) and normed chi-square have achieved the statistical level of acceptance. Nevertheless, the chi-square and the root mean square error of approximation (RMSEA) do not achieve the level of acceptance due to sample size (Ullman, 2001). Table 5. Construct Validity Fitness Indexes
www.macrothink.org/bms Table 6. Divergent Validity Measurement
www.macrothink.org/bms Table 6. Divergent Validity Measurement
Table 8. Comparison of Factor Loadings
Table 8. Comparison of Factor Loadings
Table 9. Comparison of Fitness Indexes
Table 9. Comparison of Fitness Indexes
Table 10. Correlation between Exogenous Constructs
Table 10. Correlation between Exogenous Constructs
Table 11. Path Analysis Result Understandably, the path diagram (Fig 3) measurement of hypothetical testing will demonstrate the real findings of the research objectives in table 11 with P-value and the estimate which the statistical test value that is going to understand the casual relationship between the constructs.
Table 11. Path Analysis Result Understandably, the path diagram (Fig 3) measurement of hypothetical testing will demonstrate the real findings of the research objectives in table 11 with P-value and the estimate which the statistical test value that is going to understand the casual relationship between the constructs.
Related topics:
PsychologyMobile CommerceSocial Science Research NetworkUnified Theory of Acceptance and Use of TechnologyAdoption of mobile commerceExpectancy TheoryCUSTOMER PERCEPTION
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