Structural Model of Factors Relate to Service Quality in the Application of Artificial Intelligence Security Technology in UAE

Abstract

The aim of this paper is to presents a study on structural model of factors relate to service quality performance in application of Al security technology in UAE. The study adopted quantitative approach where the data was collected through structured questionnaire survey and the respondents were selected using sample purposive sampling technique. A total of 400 questionnaire were distributed however 326 sets of the structured questionnaires were received with valid data. These collected data were used in the development of the structural relationship model of Service Quality Performance of Artificial intelligence security technology in UAE. The structural model was developed using AMOS SEM software. Before it is developed all the constructs in the model were developed individually to form measurement model and was assessed using confirmatory factor analysis (CFA) of the software. It was found that all the measurement models achieved the fitness criteria, then these models were tied up to form structural model according to the formulated conceptual model. Then the developed structural model was assessed using path analysis of the software to decide the agreement with the hypotheses. It was found that the model has achieved it good of fitness with interpreted hypotheses reveal that six of the relationship between service quality performance and the Use Al security technologies are significant in UAE.