Academy of Entrepreneurship Journal (Print ISSN: 1087-9595; Online ISSN: 1528-2686)


Moderating Interact of Artificial Intelligence Use in The Influences of Recruitment, Selection, and Staffing on The Organizational Performance in the UAE Manufacturing Industry

Author(s): Abdelrahman Hassan Mohamed Abdulla Almansoori, Muhammad Fuad bin Othman, Mohammed R A Siam

 The aim of the study is to examine the impact of employee recruitment, employee selection, and employee staffing on the organization's performance, besides the moderating impacts of artificial intelligence in the UAE manufacturing industry. The research framework illustrates the relationships between the exogenous variables (employee recruitment, employee selection, employee staffing, and artificial intelligence as a moderator) and the endogenous variable organization performance. The target or study population chosen for this research work equates to the total number of employees working in any firm in the UAE manufacturing industries and willing to respond to the questionnaire during data collection. The actual sample size is 382 employees. The distributed survey is 524, which is distributed by using face-to-face data collection methods in a convenient sample selection technique in 2019. Overall, the model is successful because it can predict 41.3% of the organization's performance and the direct relationships for the three predictors of HRM practices are significant. The precedence for the relations based on the path coefficient value is employee recruitment (0.334), employee selection (0.297), and employee staffing (0.278). For the moderating relationships of artificial intelligence, two interactions have a significant positive interaction; employee selection (0.108) and employee recruitment (0.098); but the Employee Staffing (EST) has no significant change based on artificial intelligence.

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