The purpose of this research study was to examine the unknown fears of embracing cloud computing which stretches across measurements like fear of change from leaders and the complexity of the technology in 9-1-1 dispatch centers in USA. The problem that was addressed in the study was that many 9-1-1 dispatch centers in USA are still using old technology to alert first responders to critical emergency situations which is extending the response time of the first responders and causing failures of the organizations to accomplish maximum operation performance. This non-experimental quantitative survey-based research utilized a survey in the form of a self-administrated questionnaire to collect data from 347 participants consisting of directors, IT staff, and middle managers. Out of the 347 participants, 326 (93.95%) of responders completed the survey whereas 21 responders (6.05%) decline to take the survey. The demographics findings indicate that 32.3% of the participants were Directors of 9-1-1 dispatch centers, 59.9%, were from Public Safety agencies, 7.8%, Deputy Directors, 16.0%, Managers, 16.4% 9-1-1 Coordinators, and 5.9% IT Managers, suggesting the quality of data source can be considered as a true representative of the 9-1-1 dispatch centers in the United States of America and the participants are knowledgeable of the technologies that are deployed in their centers. Logistic regression was used to test the dependent variable of dichotomous outcome of adopter or non-adopters of cloud computing, and independent variables of relative advantage, complexity, security, top management support, funding, firm size, and competitive pressure. There were 228 non-adopters and 41 adopters, the classification accuracy by random choice would result in (228/269)2 + (41/269)2 = 74.16%. As a result, this study concluded that the logistic regression model had a much higher classification ability. The results indicated relative advantage (p = .014, B = 1.035), top management support (p = .000, B = 4.649), funding (p = .004, B = -.792), and firm size (p = .032, B = -.649) to be significant determinants of cloud computing in the 9-11 dispatch centers in USA, and complexity (p = .804, B = .094), security (p = .149, B = .364), and competitive pressure (p = .468, B = -.255) were found to be not-significant discriminators and the barriers to adopt cloud computing in 9-1-1 dispatch centers in the USA. Recommendations for future studies include post adoption stage of cloud computing, and longitudinal within 9-1-1 dispatch centers in the USA.
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