Following a recently-submitted review on a few human factor identification models (interpretations of Professor Edwards’ SHELL Model, Boeing’s Maintenance Error Decision Aid (MEDA), Professor Reason’s Swiss Cheese Model, and Dupont’s Dirty Dozen), researchers have unanimously agreed on choosing the Dirty Dozen model for this quantitative study before its official implementation in hangars and workshops at Universiti Kuala Lumpur – Malaysian Institute of Aviation Technology (UniKL MIAT). This study measures the levels of awareness and effectiveness of UniKL MIAT’s current human factor safety practices. A specifically-tailored, comprehensive, Dirty Dozen checklist is produced and distributed as survey questionnaire to 120 UniKL MIAT’s students. Data from all 48 questions related to all 12 domains of Dirty Dozen are analyzed. The results shows that out of all 12 domains, six (Lack of communication, Lack of teamwork, Norm, Pressure, Lack of attention, Stress) are marked with “Agreed” and the other half (Complacency, Lack of knowledge, Lack of resources, Distraction, Lack of authority, Exhaustion) are marked as “Not Sure” in terms of awareness and effectiveness of their current human factor’s safety practices. These results will be reviewed by the top management of the university to take preventive actions and improvements for future human factor safety implementations. As Dirty Dozen is known to be the simplest technique to measure human error, it is significantly appropriate to be applied as this experiment’s variable, especially for students who are still studying and have no industrial working experiences.
Abstract:The purpose of this study is to evaluate the effect of application requirements availability on adopting cloud computing applications in several government institutions in Jordan. To go deeper in cognition of the phenomena under investigation, survey method was used to collect data, and for respondent persuade all the inquiries asked in this study were coordinated in Arabic language. We applied (Cronbach's Alpha) to analyze the validity and reliability of the survey which resulted in acceptable stability for the purposes of conducting research. The research sample was represented by all the workers of the system implementation in different government institutions, where the total sample size was 50 employees. The statistical analysis showed that there was a significant and positive influence of the availability of cloud computing technology requirements on the adoption of its application in the Jordanian institutions.
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