The purpose of this study was to gain an insight into perceived use and acceptance for implementing an enterprise resource planning system and the decision whether to contract out the enterprise resource planning (ERP) service to a cloud provider. Cloud-based ERP systems can provide many advantages to the normal implementation of the same systems as a stand-alone application running within the company computing environment, including increased scalability, system performance, cost saving through shared tenancy, and a lower entry investment (Rabay'a, Dweib, & Abuzir, 2013). A non-experimental, quantitative method of analysis was used for this research and a survey instrument developed by Venkatesh (2003) was used to gather data from information technology professionals in the United States. The researcher was able to collect 219 unique participant responses. The data generated were tested using chi-square and multiple regression. The analysis of the data presented descriptive statistics of the demographic information collected, including age group, highest degree attained, and region of the participant within the United States. The chi-square was also used to test the hypotheses and the result establishes a pertinent relationship between the dependent variable and the independent variables. Multiple regression analysis was conducted on the four independent variables (performance expectancy, effort expectancy, social influence, and facilitating conditions). All of the independent variables tested have a p-value that is greater than 0.05 (p>0.05). Hence, it was concluded that the null hypothesis be accepted for all four independent variables tested in this study. The results from this study could play a significant role in assisting organizations in understanding attitudes towards adopting cloud computing alternatives to implementing an ERP system, in lieu of internally operating such as system. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]