AI-BASED PERFORMANCE APPRAISAL SYSTEMS AND HR ANALYTICS ADOPTION: EVIDENCE FROM KUWAIT'S GOVERNMENT SECTOR
AI-BASED PERFORMANCE APPRAISAL SYSTEMS AND HR ANALYTICS ADOPTION: EVIDENCE FROM KUWAIT'S GOVERNMENT SECTOR

Summary/Abstract: This research seeks to investigate the part involved by performance appraisal schemes based on Artificial Intelligence (AI)skill in the enabling of employee performance systems and the achievement of the advantages of Human Resource Analytics (HRA), with reference to the Kuwait government sector. Employing examination facts composed from 332 employees and executives in both public and private sector organizations, covariance-based structural equation modelling (CB-SEM) was carried out to verify the measurement and structural models. The consequences display that AI-enabled appraisal schemes significantly enhance employee performance systems (β = 0.608, p < .001) and strongly predict the apparent benefits of HR analytics (β = 0.930, p < .001). These results show the role played by performance appraisal systems based on AI technology in the enabling of operative performance systems and the achievement of the advantages of Human Resource Analytics (HRA). This research brands a involvement to the field of HR analytics by providing empirical support for the role played by performance appraisal systems based on Artificial Intelligence technology in the enabling of employee performance systems and the achievement of the advantages of Human Resource Analytics (HRA), with reference to the Kuwait government sector. It is also practically important as it provides illegal visions for policymakers and leaders in Kuwait to achieve the requirements set in Kuwait Vision 2035.

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