Smart Information Systems for Enhanced Employee Performance

Intelligent information systems improve performance by data analysis and effective decision-making, thereby advancing information technology and optimizing company operations with intelligence and accuracy. This research aims to evaluate the influence of intelligent information systems on employee performance at the Al-Amel Center for Oncology Treatment, National Cancer Control Foundation, in Taiz city. The research employed a descriptive-analytical methodology and utilized a questionnaire for data gathering. The study population comprised all personnel of the Al-Amel Center, encompassing individuals in the roles of administrative director, department head, and technician. An electronic survey was created and randomly disseminated to participants in the research population. Ninety-six valid surveys were gathered for study. The research employed the statistical software SPSS for data analysis. A variety of statistical techniques were employed, including Pearson’s correlation coefficient, multiple and simple linear regression coefficients, Cronbach’s alpha coefficient, and normality tests (skewness and kurtosis). The research revealed a statistically significant effect of intelligent information systems across all dimensions on employee performance. The research additionally identified the influence of specific intelligent information system characteristics (software components, human resources, hardware components, data, and networks) on employee performance.