Data on Integrating Multidimensional Dependability with the Technology Acceptance Model
Description
This is raw and analysis data for empirical study, entitled entitled “Integrating Multidimensional Dependability with the Technology Acceptance Model: A Study of Adoption of Cloud Computing at the Organizational Level”. This study investigated how perceived dependability affects user acceptance by integrating perceived dependability with the technology acceptance model in the context of cloud computing. In this study, perceived dependability was treated as a multi-dimensional variable and conceptualized as a second-order construct. A total of 216 samples (organizational managers) were analyzed using the structural equation modeling. IBM SPSS AMOS 23 tool was used for data analysis. (1) File 1: Survey questionnaire in Korean : This is a Korean version. If you want a English version, you can check "Appendix A." in our original article. (2) File 2: DATASET (216_including item parceling) : You can use this file for your analysis. This spss file also contains the values obtained from item parceling technique this study used. (3) File 3 ~ 6 : These files are the results of using Excel to calculate CR and AVE values. This data is valuable because no other research have considered the multidimensional approach to dependability. These empirical data can provide academic researchers and businesses with insights on organizational level adoption of cloud computing.
Files
Steps to reproduce
Data analysis was conducted in the following steps: (1) prior to the structural equation modeling analysis, exploratory factor analysis (EFA) was conducted using the IBM SPSS Amos 23.0 to confirm whether similar measurement items were combined into similar factors, (2) second-order confirmatory CFA of perceived dependability was performed; if this CFA was verified, this study conducted item parceling to transform the first-order latent variables into observed variables as the indicators of second-order latent variable, (3) the measurement model and structural model were evaluated using the IBM SPSS Amos 23.0.