An empirical study on business analytics affordances enhancing the management of cloud computing data security |
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Institution: | 1. School of Computational Sciences, S.R.T.M. University of organization, Nanded, India;2. Faculty of Computer and Information Technology (FCIT), Sana''a University, Yemen;3. Faculty Computer Science & Engineering, Hodeidah University, Yemen |
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Abstract: | The mechanism of business analytics affordances enhancing the management of cloud computing data security is a key antecedent in improving cloud computing security. Based on information value chain theory and IT affordances theory, a research model is built to investigate the underlying mechanism of business analytics affordances enhancing the management of cloud computing data security. The model includes business analytics affordances, decision-making affordances of cloud computing data security, decision-making rationality of cloud computing data security, and the management of cloud computing data security. Simultaneously, the model considers the role of data-driven culture and IT business process integration. It is empirically tested using data collected from 316 enterprises by Partial Least Squares-based structural equation model. Without data-driven culture and IT business process integration, the results suggest that there is a process from business analytics affordances to decision-making affordances of cloud computing data security, decision-making rationality of cloud computing data security, and to the management of cloud computing data security. Moreover, Data-driven culture and IT business process integration have a positive mediation effect on the relationship between business analytics affordances and decision-making affordances of cloud computing data security. The conclusions in this study provide useful references for the enterprise to strengthen the management of cloud computing data security using business analytics. |
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Keywords: | Management of cloud computing data security Business analytics affordances Data security decision-making rationality Data-driven culture IT business process integration |
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