The impact of computerized information systems on crisis management in UAE immigration services

The main objective of this study is to investigate the impact of computerized management information systems and their relationship to crisis management in the Passports and Immigration Department of the United Arab Emirates. The problem of the study focused on the challenges encountered in implementing computerized management information systems, specifically in the dimensions of System Quality (SYQ), Service Quality (SEQ), Information System Quality (ISQ), and Decision Making Speed (DMS). The study adopted quantitative approach and benefited from statistical evaluation based on detailed solutions and techniques of variance and covariance, correlation and regression. A questionnaire set was created from previous literary works and modified to match the study conditions. The study population were all employees who are working in the Department of Passports and Immigration of the United Arab Emirates. It was formed according to the Federal Center for Competitiveness and Statistics (9800) employees. The target sample size is 370, but the valid data set for analysis was 330 questionnaires. The results of the main dependent variable Crisis Management (CM) showed significant predictive power. This explained that the independent variables (system quality, system quality services, quality of information, speed of decision-making) in the proposed model accounted for 88% of the changes in crisis management in the Department of Passports and Immigration of the United Arab Emirates. The findings indicated that there was a statistically significant relationship between system quality, quality of services, information quality, and the speed of decision-making in computerized management information systems and crisis management in the Passports and Immigration Department of the UAE. The study recommended conducting similar studies in other places such as other emirates or neighbouring countries. The study also recommended conducting similar studies using a different methodology such as the qualitative approach, which may infer additional variables that may not have been included in the current research.