Artificial Intelligence Innovation Related Factors Affecting Organizational Performance

Organisations paid more attentionto the innovations of artificial intelligence (AI)technology to improve organizational performance. Hence, using AI-related support organizationrequires understanding factors affecting Thus, this paper presents development PLS-SEMmodelof that affect organisational The study identified 21innovation were clustered into four groups namely process innovation; management capabilities; personal expertise and organization structure.The model comprised fourexogenous constructs innovationfactors one endogenous construct data used develop was derived from 384valid responses a questionnaire survey amongst employees three government organizations in Dubai, which are Dubai Police, Electricity & Water Authority Dewa, Emirates Integrated Telecommunications Company. adopted simple random sampling technique respondents’ selection. developed SmartPLS software evaluated at measurement structural components model. It found modelhas achieved its goodness-of-fit, GoF criteria of0.596which indicates has substantial validating power. hypothesis testing results out relationships significant having t-value p-value above cut-off values. structure, innovation. However, unsignificant relationship ismanagement capabilities This is due characteristics collected not strong enough establish as what have been hypothesized.The findings contributions any parties involved application AI innovation