Factors Influencing the Adoption of Cloud Computing by Saudi University Hospitals
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 1
Abstract
This study aims to evaluate the adoption of Cloud Computing in Saudi university hospitals and to investigate the factors that impact the adoption. This study integrates the Technological, Organizational, Environmental (TOE) framework and the Diffusion of Innovation (DOI) theory, and adds the decision maker context to the original model. The study sample included Saudi university hospitals in Riyadh city. The data were collected using semi-structured interviews and a questionnaire. The result of this study determines the five most significant factors influencing the adoption of cloud computing in Saudi university hospitals, which are in sequence: Relative advantage, Decision-maker's innovativeness, Decision-maker's knowledge in IT, Compatibility, and Top management support. Moreover, among the four different contexts, the most important context is the Decision-maker context, followed by the Technological context, then the Organizational context, and finally the Environmental context. The findings are beneficial for hospitals to guide them to make better decisions regarding cloud computing adoption. Scholars can use this study to gain a more holistic understanding of cloud computing adoption and apply new theories in this field.
Authors and Affiliations
Seham S. Almubarak
Keywords
Related Articles
- EP ID EP243020
- DOI 10.14569/IJACSA.2017.080107
- Views 73
- Downloads 0
A Fuzzy based Model for Effort Estimation in Scrum Projects
This paper aims to utilize the fuzzy logic concepts to improve the effort estimation in Scrum framework and in turn add a significant enhancement to Scrum. Scrum framework is one of the most popular agile methods in whic...
Geographic Routing Using Logical Levels in Wireless Sensor Networks for Sensor Mobility
In this paper we propose an improvement to the GRPW algorithm for wireless sensor networks called GRPW-M , which collects data in a wireless sensor network (WSN) using a mobile nodes. Performance of GRPW algorithm algori...
Construction of TVET M-Learning Model based on Student Learning Style
Mobile learning or m-learning is emerging as the innovation of virtual learning that used mobile devices for teaching and learning which can be accessed readily at hand anywhere either in classroom or group. Whereas prel...
Interactive Hypermedia Programs and its Impact on the Achievement of University Students Academically Defaulting in Computer Sciences
Traditional teaching practices through lecture series in a classroom have shown to have less universal efficacy in imparting knowledge to every student. Some students encounter problems in this traditional setting, espec...
Developing Cross-lingual Sentiment Analysis of Malay Twitter Data Using Lexicon-based Approach
Sentiment analysis is a process of detecting and classifying sentiments into positive, negative or neutral. Most sentiment analysis research focus on English lexicon vocabularies. However, Malay is still under-resourced....