2022
DOI: 10.1504/ijbir.2022.122968
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Factors that influence employees' acceptance of e-accounting: evidences from Jordanian SMEs

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Cited by 15 publications
(12 citation statements)
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“…PLS-SEM is particularly advantageous when working with small sample sizes, as it provides high statistical power. Furthermore, the software allows for the evaluation of both the measurement and structural models, which are the two key stages in PLS-SEM analysis (Shbail et al , 2022). It is important to note, as highlighted by Sarstedt et al (2020), that SEM is the recommended approach when estimating models involving latent variables.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…PLS-SEM is particularly advantageous when working with small sample sizes, as it provides high statistical power. Furthermore, the software allows for the evaluation of both the measurement and structural models, which are the two key stages in PLS-SEM analysis (Shbail et al , 2022). It is important to note, as highlighted by Sarstedt et al (2020), that SEM is the recommended approach when estimating models involving latent variables.…”
Section: Data Analysis and Resultsmentioning
confidence: 99%
“…To evaluate the measurement model in the study, the researchers assessed its convergent validity, discriminant validity and construct reliability. Convergent validity was evaluated by analyzing factor loading and average variance extracted (AVE), following the recommendations of Al Shbail et al (2022) and Hair et al (2021). For each construct indicator, a factor loading of at least 0.7 was deemed acceptable, while the AVE score was required to be no less than 0.5, as shown in Figure 2.…”
Section: Resultsmentioning
confidence: 99%
“…This test shows that the square root of the AVE of a construct must be bigger than the connections it has with any other construct (the numbers on the diagonal represent the square root of the shared variance between the construct and its measures) (Fornell and Larcker, 1981). A construct’s variance must exceed the variance that it shares with other indicators in the model (measured by the squared correlation between the two constructs), as shown by the AVE of that construct (Al Shbail et al , 2022a, 2022b, 2022c). Table 2 demonstrates that it satisfies this condition.…”
Section: Resultsmentioning
confidence: 99%
“…By analyzing the heterotrait–monotrait (HTMT) ratio, we have introduced another discriminant validity test to reinforce this part. The average of the heterotrait–heteromethod correlations is represented by this indicator in comparison to the average of the monotrait–heteromethod correlations (Al Shbail et al , 2022a, 2022b, 2022c; Henseler et al , 2017). Each correlation’s value is less than 0.85 (see Table 3).…”
Section: Resultsmentioning
confidence: 99%
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