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The intention of this research proposal is to evaluate the attributes of QoS performance at the technical level followed by attitudinal measures of performance for cloud database services in place today and how their performance is contributing to greater levels of productivity within enterprises who have adopted this platform globally.
As user intention and customer satisfaction are attitudinal in nature, the methodology for this study concentrates on using Likert scaling to capture the relative ranking of these technologies and their relative contributions to enterprise performance. Supplanting the Likert-based scaling analysis will be financial analysis of the performance of firms included in the research methodology. The correlation of attitudinal assessments to financial performance of cloud-based databases services will be included in this analysis. The pervasive use of metrics specifically in the application areas of ERP, CRM and SCM applications that require a cloud database service to operate across the enterprise will also be used as the foundation of this analysis. Determining if there is a strong correlation between the attitudinal perceptions and valuation of cloud database services and their financial performance is at the center of this research proposal.
The foundation of cloud database services is based on the cloud technology stack as defined by the foundational elements of Infrastructure-as-a-Service (IaaS) which is used for supporting the Platform-as-a-Service (PaaS) layer of the cloud platform. The most visible area of the cloud computing stack is the Software-as-a-Service (SaaS) layer which is where applications that users interact with are located (Armbrust, Fox, Griffith., et.al., 2010). The attitudinal measures of user intentions and customer satisfaction are measured from this specific level of the cloud computing technology stack. The SaaS layer of the cloud computing stack is also where the majority of enterprise software companies deliver their applications including those that are ERP, CRM and SCM-based (Marston, Li, Bandyopadhyay, Zhang, Ghalsasi, 2011). The cloud computing technology stack and its customization and permeability across the enterprise are the primary factors that are revolutionizing the economics of cloud computing. The agility of the cloud computing stack is also re-ordering the capital expense (CAPEX) spending levels…[continue]
"The Effect Of Cloud Database Service On User Intentions And Satisfaction For Business" (2012, December 15) Retrieved October 22, 2014, from http://www.paperdue.com/essay/the-effect-of-cloud-database-service-on-77106
"The Effect Of Cloud Database Service On User Intentions And Satisfaction For Business" 15 December 2012. Web.22 October. 2014. <http://www.paperdue.com/essay/the-effect-of-cloud-database-service-on-77106>
"The Effect Of Cloud Database Service On User Intentions And Satisfaction For Business", 15 December 2012, Accessed.22 October. 2014, http://www.paperdue.com/essay/the-effect-of-cloud-database-service-on-77106