Cloud Database

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Introduction:

The cloud computing is the next generation of the computing, its advantages, advancements and research are a plenty. In recent years, the term “cloud computing” has been critical in the world of IT. Cloud computing, or the use of internet-based technologies to conduct business, is recognized as an important area for IT innovation and investment (Armbrust et al., 2010; Goscinski and Brock, 2010; Tuncay, 2010). Cloud computing has spread out through the main areas related to information systems (IS) and technologies, such as operating systems, application software, and technological solutions for firms (Armbrust et al., 2010). The promise of cloud computing is to deliver all the functionality of existing information technology services even as it dramatically reduces the upfront costs of computing that deter many organizations from deploying many cutting-edge IT services (J.Staten, 2009). Cloud computing represents a convergence of two major trends in information technology — (a) IT efficiency, whereby the power of modern computers is utilized more efficiently through highly scalable hardware and software resources and (b) business agility, whereby IT can be used as a competitive tool through rapid deployment, parallel batch processing, use of compute-intensive business analytics and mobile interactive applications that respond in real time to user requirements (W.Kim, 2009). The impetus for change right now is seen predominantly from a costs perspective, as organizations increasingly discover that their substantial capital investments in information technology are often grossly underutilized (Sean Marston et al., 2010).

Although there have been many recent publications that discuss various features, opportunities and issues related to Cloud services ([Jane Anderson et al., 2010], [Sam Goundar et al., 2011]), but only few scholars have attempted to explain the factors for adoption of cloud database ([Chinyao Low et al., 2011]). Related studies have looked at Strategic research model for Enterprise Information Planning adoption with Technology, Organization and Environment as moderators (Liu hongjun et al., 2010). The gap in this research is that both TOE and TAM model are not being looked as one model explaining Cloud database adoption.

This study investigates the cloud database acceptance by combining the work done by (Chinyao Low et al., 2011) pertaining to Understanding the determinants of cloud computing adoption and (Liu hongjun et al., 2010) pertaining to Strategy Research of Enterprise Information Planning based on TOE-TAM model. Also this study discusses about the key advantages and challenges faced by implementing Cloud database.

As the cloud services are increasingly expanding through research and development. This study will be constructive to the cloud service development and growth.

Literature Review:
Nevertheless, the Technology Acceptance Model (TAM) provides one of the most parsimonious, yet robust, models in explaining Information and Communication Technology characteristics and their effects on consumer adoption/use of new ICTs (Kenneth C.C. Yang, 2005). Internet is a product of Information Technology; as such Internet Cloud services should be explained as a part of Technology Acceptance Model (Davis 1989; Davis et al. 1989). TAM is a parsimonious and theoretically justified model intended to explain information technology adoption (van der Heijden, 2003). TAM has two main keywords which are user’s adoption intention and actual usage. The user adoption intention is called as “Perceived usefulness”, which is defined as “the degree to which a person believes using a particular system would enhance his or her job performance” (van der Heijden, 2003). The actual usage is called as “perceived-ease-of-use”, which is defined as “the degree of to which a person believes that using a particular system would be free of effort” (van der Heijden, 2003). TAM theorizes that perceived...
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