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Explanatory and Confirmatory factor analyses are used in the measurement model. The exploratory factor analysis allows identification of the measurement model while the confirmatory factor analysis allows the final measurement model evaluation (Kline 2005; Satorra 1993). The validity of the measurement instrument is also tested (content validity, scale dimensionality, reliability, divergent validity and convergent validity) (Amand and Ward 2004; Bagozzi and Yi 1988). Content validity is achieved using measures proposed and tested in previous research together with the expert opinion (pretest of the questionnaire). Scale dimensionality was assessed through exploratory factor analysis (standardised load values > .5). Reliability was tested using Cronbach’s alpha (> .7). Divergent validity is tested with the correlations matrix. Finally, confirmatory factor analysis permits test scale dimensionality and convergent validity (Hu and Bentler 1998). —_— ”| we ie, gol ot - g 1 a) ws 1 1 1

Table 3 Explanatory and Confirmatory factor analyses are used in the measurement model. The exploratory factor analysis allows identification of the measurement model while the confirmatory factor analysis allows the final measurement model evaluation (Kline 2005; Satorra 1993). The validity of the measurement instrument is also tested (content validity, scale dimensionality, reliability, divergent validity and convergent validity) (Amand and Ward 2004; Bagozzi and Yi 1988). Content validity is achieved using measures proposed and tested in previous research together with the expert opinion (pretest of the questionnaire). Scale dimensionality was assessed through exploratory factor analysis (standardised load values > .5). Reliability was tested using Cronbach’s alpha (> .7). Divergent validity is tested with the correlations matrix. Finally, confirmatory factor analysis permits test scale dimensionality and convergent validity (Hu and Bentler 1998). —_— ”| we ie, gol ot - g 1 a) ws 1 1 1

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Table 1. Sample and population distribution by industry, and response rate.
Table 1. Sample and population distribution by industry, and response rate.
Table 2. Survey items and primary factors. covariance between variables (Kaplan 2000; Kline 2005). Hypothesis testing using this technique has been widely used in IT/supply chain management research (Bruque, Moyano, and Maqueira 2015, 2016; Liu et al. 2016; Subramanian and Abdulrahman 2017). For these reasons, Structural Equations Model has been selected for this work.
Table 2. Survey items and primary factors. covariance between variables (Kaplan 2000; Kline 2005). Hypothesis testing using this technique has been widely used in IT/supply chain management research (Bruque, Moyano, and Maqueira 2015, 2016; Liu et al. 2016; Subramanian and Abdulrahman 2017). For these reasons, Structural Equations Model has been selected for this work.
Figure 2. Structural model and measurement model.
Figure 2. Structural model and measurement model.
Table 4. Exploratory factor analysis. (values from 0 to 4). This table shows that the Microcloud and the Private Cloud are much more widely implemented than the Community Cloud and the Public Cloud. The Private Cloud is the most implemented, while the Public Cloud is the least. This means that the average value of Cloud Computing assimilation is relatively small, with a low level of diffusion of Cloud Computing in the analyzed companies.
Table 4. Exploratory factor analysis. (values from 0 to 4). This table shows that the Microcloud and the Private Cloud are much more widely implemented than the Community Cloud and the Public Cloud. The Private Cloud is the most implemented, while the Public Cloud is the least. This means that the average value of Cloud Computing assimilation is relatively small, with a low level of diffusion of Cloud Computing in the analyzed companies.
Fin_Int_1 Fin_Int_2 Phys_Int_l! Phys_Int_2 Phys_Int_3 Phys_Int_4 Inf_Int_1 Inf_Int_2 Inf_Int_3 Inf_int_s AMT_1 AMT_2 AMT_3 AMT_5 AMT_6 EC_Cap_1 EC_Cap_2 EC_Cap_3 EC_Cap_5
Fin_Int_1 Fin_Int_2 Phys_Int_l! Phys_Int_2 Phys_Int_3 Phys_Int_4 Inf_Int_1 Inf_Int_2 Inf_Int_3 Inf_int_s AMT_1 AMT_2 AMT_3 AMT_5 AMT_6 EC_Cap_1 EC_Cap_2 EC_Cap_3 EC_Cap_5
Table 6. Confirmatory Factor Analysis. Table 7. Cloud Computing Assimilation and Cloud types, descriptive statistics.
Table 6. Confirmatory Factor Analysis. Table 7. Cloud Computing Assimilation and Cloud types, descriptive statistics.
Table 8. Correlations between variables and constructs (Spearman).
Table 8. Correlations between variables and constructs (Spearman).
Figure 3. Structural model and measurement model: results.
Figure 3. Structural model and measurement model: results.
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