Suchergebnisse

Internet technology's worldwide success and adoption have provided organizations with direct access to their constituents and customers. Especially, organizations relying on online platforms provide comparatively better services and have strong relations with their clients. This research also focused on relevant phenomena in the United Arab Emirates banking sector organizations. The researchers employed a cross-sectional design and randomly selected a sample of n=400 individuals. Results revealed a significant impact of customer support services on providing product information (p>0.008) and service quality (p>0.000). Further, the effect of service quality on Artificial Intelligence also remained significant (p>0.000). Besides, Artificial Intelligence is also found significantly impact the Public Relations of Emirati banks (p>0.006). Finally, the mediating impact of communication skills on Artificial Intelligence and Public Relations remained significant (p>0.088). Moreover, the Artificial Neural Network (ANN) revealed the Sum of Square Values at 568.19, the Overall Relative Error value at 0.813, and the accuracy level at 18.7% (training). While, regarding the testing, the Sum of Square Values remained at 256.80 and the Average Overall Relative Error value remained at 0.861, indicating an overall accuracy of 13.9%. Thus, it is concluded that the importance of two-way communication can be determined because it helps determine and understand the customers' needs and demands. The more an organization understands its customers, the more it fulfills their expectations, indicating the importance of two-way communication. Finally, this research recommends more studies regarding AI-enabled Emotional Intelligence in other sectors to dig out in-depth results. Doi: 10.28991/ESJ-2024-08-03-020 Full Text: PDF

IntroductionThe primary objective of the current paper is to understand the impact of Generative AI Tools on the recruitment process, on their effectiveness in addressing bias, enhancing efficiency, and ensuring accurate candidate evaluation and looking at the moderating role of familiarity and the mediating role of the size of the organization and level of employee.MethodsA quantitative survey approach, with 469 professionals participating in an online survey, was used. Structural Equation Modelling (SEM) in Amos SPSS was used in the analysis of the relationships between Generative AI Tools, User Familiarity with AI, and key outcomes in the recruitment process.ResultsThe study reveals a significant reduction in bias during candidate screening, attributed to the algorithmic objectivity, data driven decision making, and consistency inherent in Generative AI Tools. Efficiency gains and heightened accuracy in shortlisting candidates were also observed. However, User Familiarity with AI emerged as a moderating factor in influencing the relationship between Generative AI Tools and efficiency improvement.DiscussionAs a recommendation, organizations are encouraged to invest in continuous training programs to harness the full potential of Generative AI Tools in optimizing efficiency and ensuring a fair and accurate recruitment process.