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ERIC Number: ED551132
Record Type: Non-Journal
Publication Date: 2012
Pages: 131
Abstractor: As Provided
Reference Count: N/A
ISBN: 978-1-2677-3613-0
ISSN: N/A
Predicting Cloud Computing Technology Adoption by Organizations: An Empirical Integration of Technology Acceptance Model and Theory of Planned Behavior
Ekufu, ThankGod K.
ProQuest LLC, Ph.D. Dissertation, Capella University
Organizations are finding it difficult in today's economy to implement the vast information technology infrastructure required to effectively conduct their business operations. Despite the fact that some of these organizations are leveraging on the computational powers and the cost-saving benefits of computing on the Internet cloud, others still show reluctance in the implementation of cloud technology due to security and privacy concerns. This study examined factors that influence organizations in the adoption of cloud computing technology, integrating the technology acceptance model (TAM) and the theory of planned behavior (TPB). In the spring of 2012, this study conducted an online survey through Survey-Monkey. Data were collected from 105 respondents in information technology across many organizations in the United States of America. Multiple regression analysis was utilized to examine if there was a correlation between the five independent variable factors (attitude, subjective norm, behavioral control, perceived usefulness, and perceived ease of use) and one dependent factor (behavioral intent). The results showed a significant correlation of 70% variation between the factors and behavioral intent. Cloud adopters from the financial industry were found to exhibit a higher adoption rate than other industries analyzed. A total of 79 male and 26 female respondents participated. The age range of most participants was from 26 to 65. The findings of the study contribute to a theoretical foundation for future research and allow for better application of integrated Technology Acceptance Models. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A