# CRITICAL FACTORS AFFECTING THE UTILIZATION OF CLOUD COMPUTING Alberto Daniel Salinas Montemayor 1, Jesús Fabián Lopez 2, Jesús Cruz Álvarez 3

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3 Cost (X6) Information Security (X7) Universe and Sample The case study is focused on large and medium-sized companies in the metropolitan area of Monterrey. The information from the Ministry of Economy provided us with 8,755 large and mediumsized enterprises; the sample size used in this analysis is calculated using a simple formula shown in Figure 1. Figure 1: The formula for sample size calculation Source: Suarez (2011) Using the formula provided in Figure 1, we can calculate the sample size for this analysis. The calculation is shown in Figure 2. The resulting sample size (n') is Figure 2: Implementation of the formula for calculating the sample size Source: Author. Instrument The collection of information on the critical factors was conducted through a survey, which was designed with the intention of measuring the ratio of the dependent variables with respect to the extent of use of cloud computing. Type of test validity The calculation of the reliability of the instrument is the primary key to determining if the results extracted from it will be acceptable. For the seven variables involved in the instrument, four of them returned significant value through a group of items. They are Dependency Provider (X1), Knowledge Service (X3), Costs (X6), and Information Security (X7). Their Cronbach s Alpha values are shown in Table

4 Table 1: Cronbach's Alpha Variable Value X1.816 X3.808 X5.871 X7.858 Souce: Authors Results of statistical analysis This section discusses the results of sequential analyzes and statistical tests described in the research design, and explains the aspects of the methodology applied. The statistical treatment of the data is explained step by step, considering the tests that allow us to accept or reject the research hypothesis At the end of this section the results are discussed and the validity of the alternative hypothesis is also determined. Multiple linear regression model The technique of multivariate regression was used to define the significance level according to the value of p = For purposes of testing the hypothesis, a multiple regression model for all variables was run. The model includes seven variables according to results of multiple linear regression, two of these were not significant, i.e. ignorance of the location where information (X2) and information security (X7) are stored. According to the predictors, (Constant) X3, X6, X4, X5, X1, the coefficient of R 2 is equal to.632 allowing the independent variables to influence the dependent variable by 60%. Table 2 summarizes the model results. Table 2: Model Summary Source: Authors R-Squared.632 Standard Deviation 0.89 The value obtained for the statistic F reveals that the model is significant, with five degrees of freedom in the numerator and 553 degrees of freedom in the denominator. Predictors: (Constant) X3, X6, X4, X5, X1 Dependent variable: Y The validity of the Betas and the relative importance of the equation thereof was analyzed. All Betas were significant and, in accordance with their values most important to examine, the extent of use of cloud computing variables are determined in order of importance as follows: Y = X3 (Service Knowledge) X4 (Legal Knowledge) X5 (Services Offered by suppliers) X6 (Cost) X1 (Dependency of Providers) 334

5 Table 3: Anova Model Sum of squared GI Mean Square F Significance Regression Residual Total Source: Authors Table 4 summarizes the model coefficients. Table 4: Coefficients Model Beta Std. Error Standarized Beta t Sig. Tolerance VIF X X X X X Source: Author. Conclusion This research paper reviews the critical factors that were significant in cloud computing. By applying a linear regression to validate the instrument, it was found that the Cronbach's alpha was satisfactory. It was calculated, after a model was defined, based on the value of R 2 (.632). Five of seven critical factors (variables) were considered for the model based on their significance for the case study of large and medium-sized enterprises in the metropolitan area of Monterrey. These variables are listed in their order of importance: X3 (Knowledge Service) X4 (Legal Knowledge) X5 (Services Offered by suppliers) X6 (Cost) X1 (Dependency of Providers) Cloud computing comprises of a variety of solutions that companies offer in a virtually convenient way, while reducing unnecessary maintenance cost and other costs associated with infrastructure software licenses, hardware, data security, etc. Future suppliers could integrate this technology into creating more cost-effective business models that would meet the fast-paced, dynamic needs of companies. 335

6 References Bologna, J., & Walsh, A. M. (1997). The Accountant s Handbook of Information Technology. New York, United States of America: John Wiley & Sons, Inc. Géczy, P., Izumi, N., & Hasida, K. (2011). Cloudsourcing: Managing Cloud Adoption. Global Journal of Business Research, 6, ISACA (2011). IT Risk/Reward Barometer Mexico Edition. Julisch, K., & Hall, M. (2010). Security and control in the cloud. Information Security. A Global Perspective, 6, Mather, T., Kumaraswamy, S., & Latif, S. (2009). Security Management in the Cloud. In M. Loukides (Ed.), Cloud Security and Privacy: An Enterprise Perspective on Risks and Compliance (pp ). California, United States of America: O Reilly Media, Inc. Rawal, A. (2011). Adoption of Cloud Computing in India. Journal of Technology Management for Growing Economies, 2, Sheelvant, R. (2009). 10 Things to Know about Cloud Computing Strategy. IT Strategy. Steven, A. (1999). Information systems: A management perspective. Indiana, United State of America: Addison Wesley. Suarez, M. (2004). Interaprendizaje Holístico de Matemática. Ibarra, Ecuador: Gráficas Planeta. 336

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Linear Regression in SPSS Data: mangunkill.sav Goals: Examine relation between number of handguns registered (nhandgun) and number of man killed (mankill) checking Predict number of man killed using number