Dependent Variables

Internet of things (IOT) is an emerging field in Iraq that has gained research interest. One of its most important aspects concerns how to bind IOT to enhance healthcare in Iraq. This study was conducted at the College of Computer Science and Information Technology. It discussed the effect of not using IOT to manage critical life-threatening situations in Iraqi healthcare. In this study, we considered IOT technology, particularly the DRONE ambulance, using real data collected via a random questionnaire study in Basra. The data was analyzed using SPSS version 0.23. At the end of the study, we identified the factors that could have affected the use of IOT technology: awareness, security, cost, governmental support, collaboration, and professional behavior. The results showed that collaboration affected the use of IOT technology.

The aim of this research paper is to detect key success variables influencing TPM performance indicators in XYZ Bottling factory in Ethiopia. The six independent variables management, employees, organizational, personal, material and equipment factors and the TPM performance indicators: cost, quality, delivery, productivity, moral and safety were identified by the researchers. And theoretical model is established to develop and test six hypotheses. Data's were collected by self-administered structured questionnaire from general managers, production managers, maintenance managers, supervisors and lower level workers of the case factory. For the purpose of data collection the researchers were distributed 141 questionnaires and 134 papers were returned back with a response percentage of 95.03%.The questionnaires were loaded in SPSS v20 and the results were analyzed by mean, standard deviation, Pearson correlation, ANOVA and regression analysis. The finding of this research paper revealed that Employees, Organizational, Personal, and Equipment factors accounted 65.9% for improving TPM performance indicators in the factory. These four variables have positive effect and statistically significant determinants for improving total productive maintenance success factors of the factory except management and material factors.