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Examining the Relationship between T...

Tweel, Abdeneaser.

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Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption./
作者:	Tweel, Abdeneaser.
面頁冊數:	153 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-01(E), Section: A.
Contained By:	Dissertation Abstracts International74-01A(E).
標題:	Business Administration, Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3529668
ISBN:	9781267664785

Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption.
Tweel, Abdeneaser.

Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption. - 153 p.

Source: Dissertation Abstracts International, Volume: 74-01(E), Section: A.

Thesis (Ph.D.)--Northcentral University, 2012.

High uncertainties related to cloud computing adoption may hinder IT managers from making solid decisions about adopting cloud computing. The problem addressed in this study was the lack of understanding of the relationship between factors related to the adoption of cloud computing and IT managers' interest in adopting this technology. In this quantitative survey study, an online survey was administered to a stratified random sample of 221 IT decision makers from different U.S. industries. Pearson r and multiple regression analyses were conducted to examine the relationships between the dependent variable (IT managers' interest in adopting cloud computing) and the independent variables (relative advantage, compatibility, organizational size, organizational readiness, top management support, mimetic pressure, coercive pressure, normative pressures). Pearson correlation statistics revealed statistically significant positive correlations between the dependent and independent variables. The dependent variable was positively correlated with relative advantage, r(219) = .604, p < .01, with compatibility, r(219) = .780, p < .01, with organizational readiness, r(219) = .176, p < .01, with top management support, r(219) = .749, p < .01, with mimetic pressure, r(219) = .524, p < .01, with coercive pressure, r(219) = .405, p < .01, and with normative pressure, r(219) = .448, p < .01. The results of multiple regression analysis demonstrated that compatibility, beta= .424, t(212) = 6.51, p < .001, top management support,beta = .292,t(212) = 4.55, p < .001, relative advantage, beta = .152, t(212) = 2.76, p < .01, and mimetic pressure, beta = .130, t(212) = 2.25, p < .05, were the most statistically significant factors that contributed to IT managers' interest in adopting cloud computing. These four factors also explained a significant proportion of variance in the dependent variable, R2 = .69, F (8, 212) = 59.21, p < .001. Recommendations for future studies include conducting research outside the United States to potentially improve and generalize the findings. Scholars can use this study to guide future research and to gain a more holistic understanding of cloud computing adoption. Researchers should delve more deeply into the cultural, legal, and compliance dimensions on the adoption of cloud computing. Practitioners can use this study to proactively design strategies targeted at organizations that may be less inclined to adopt cloud computing.

ISBN: 9781267664785Subjects--Topical Terms:

626628
Business Administration, Management.

Examining the Relationship between Technological, Organizational, and Environmental Factors and Cloud Computing Adoption.
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520 $a High uncertainties related to cloud computing adoption may hinder IT managers from making solid decisions about adopting cloud computing. The problem addressed in this study was the lack of understanding of the relationship between factors related to the adoption of cloud computing and IT managers' interest in adopting this technology. In this quantitative survey study, an online survey was administered to a stratified random sample of 221 IT decision makers from different U.S. industries. Pearson r and multiple regression analyses were conducted to examine the relationships between the dependent variable (IT managers' interest in adopting cloud computing) and the independent variables (relative advantage, compatibility, organizational size, organizational readiness, top management support, mimetic pressure, coercive pressure, normative pressures). Pearson correlation statistics revealed statistically significant positive correlations between the dependent and independent variables. The dependent variable was positively correlated with relative advantage, r(219) = .604, p < .01, with compatibility, r(219) = .780, p < .01, with organizational readiness, r(219) = .176, p < .01, with top management support, r(219) = .749, p < .01, with mimetic pressure, r(219) = .524, p < .01, with coercive pressure, r(219) = .405, p < .01, and with normative pressure, r(219) = .448, p < .01. The results of multiple regression analysis demonstrated that compatibility, beta= .424, t(212) = 6.51, p < .001, top management support,beta = .292,t(212) = 4.55, p < .001, relative advantage, beta = .152, t(212) = 2.76, p < .01, and mimetic pressure, beta = .130, t(212) = 2.25, p < .05, were the most statistically significant factors that contributed to IT managers' interest in adopting cloud computing. These four factors also explained a significant proportion of variance in the dependent variable, R2 = .69, F (8, 212) = 59.21, p < .001. Recommendations for future studies include conducting research outside the United States to potentially improve and generalize the findings. Scholars can use this study to guide future research and to gain a more holistic understanding of cloud computing adoption. Researchers should delve more deeply into the cultural, legal, and compliance dimensions on the adoption of cloud computing. Practitioners can use this study to proactively design strategies targeted at organizations that may be less inclined to adopt cloud computing.
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