Cloud computing refers to the computing services that are provided by organizations over the internet. In this study, the dependent variable which is cloud computing will be determined by independent variables which are the level of internet connectivity and availability of computer based devices and mobile phones ( Morgan, & Conboy, 2013).
Variables
The primary variable is internet connection. Cloud computing relies on web based servers. This implies that there is a need for players in the industry to have good access to the internet.
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The most important variable during the analyses is internet connectivity. This is based on the fact that, without internet connectivity, it will be difficult to access these services. Areas where internet connections are low are not likely to enjoy these benefits. This is summarized as indicated in the equation
Critical success factors in cloud computing = level of internet connectivity + computer and mobile devices. This is an important factor if organizations are to adopt cloud computing effectively in their operations
Critical success factors = this is an indicator of the level of efficacy of adoption of cloud computing in organizations
Level of internet connectivity= this refers to the level of internet connection in the country
Computer and mobile devices = this refers to the availability of computer devices as well as mobile phones to employees in organizations
Correlation analyses
State | internet speed (MPS per second | computer penetration % | ACC % |
United States | |||
Washington | 75 | 89 | 72.5 |
Atlanta | 69.2 | 88 | 76.1 |
Delaware | 68.5 | 88 | 73 |
Boston | 75 | 86 | 72 |
Los Angeles | 76 | 86 | 72 |
Houston | 76 | 85 | 69 |
new york | 71.5 | 85 | 68 |
Chicago | 69.2 | 85 | 59 |
Philadelphia | 70 | 84 | 49 |
CORREL | 0.31526492 | 0.732304 | -0.02 |
T test 0.3
Source: Census.gov (2016)
The above correlation coefficient indicates that there is strong relationship between cloud computing and the accessibility of high internet connection in various states within the United States of America. The study thus indicates a major connection between the tow. Equally, it has presented positive correlation coefficient between the use of commutabilities and the penetration of computers and mobile devices in the United States of America ( Morgan, & Conboy, 2013). This has been important in driving the field of cloud computing forward in the industry. The information can be adjusted in consideration of other variables such as usability. The computer literacy in various states in the United States of America is recognized as usability and summarized in the table below
Adjusted R2
Column1 | Column2 | Column3 |
State | usability | ACC % |
United States | ||
Washington | 94% | 72.5 |
Atlanta | 89% | 76.1 |
Delaware | 75% | 73 |
Boston | 88% | 72 |
Los Angeles | 72% | 72 |
Houston | 84% | 69 |
new york | 84% | 68 |
Chicago | 80% | 59 |
Philadelphia | 68% | 49 |
CORREL | 0.5899453 | |
From the above presentation, it is clear that usability is a key determinant of the adoption of cloud computing in the health industry in the United States of America. In areas where the level of computer literacy is high, changes of successful implementation of cloud computing are enhanced. This is unlike in areas where individuals are less competent and hence unable to execute these measures. The adjusted R2 indicates that there are multiple factors that influence the level of adoption of cloud computing in the United States of America. No other additional methods have been employed in this study other than the use of correlation coefficient.
Multi collinear assessment
The above presentation indicates the access to computers have no positive relation to the internet speed. Nevertheless each of these variables separately influences the extent of adoption of cloud computing within the United States of America
T-test
The t test is 0.3 in this case. It indicates high level of statistical significance between the adoption of computers, access to internet and the adoption of cloud computing in the United States of America health care sector
References
Census.gov (2016). Computer and internet use. Retrieved from
http://www.census.gov/hhes/computer/publications/2013.html
Morgan, L., & Conboy, K. (2013). Factors affecting the adoption of cloud computing: an exploratory study. New York: ,McGraw Hills