Experimentally Evaluate the Talent Management based on Electronic Human Resources in Saudi SMEs to Enhance Digital Skill Proficiency using Artificial Intelligence

This study aimed to study the effect electronic human resource (E-HR) systems, which have sustainable innovation (S-I) and organizational agility (O-A), has as a stepping stone for getting sustainable competitive advantage (S-CA) in small and medium-sized businesses (SMEs), in Saudi Arabia. For SEMs Saudi to survive, digital transformation through EHRM practices that encompass, digital recruitment, online training, and performance management system, is required. It may help organizations to ensure the efficiency, effectiveness and decision making of their HR departments and create a sustainable competitive advantage for the company's performance. In this regard, we [means category A SEMs] focus on the middle and first-line level of management in Saudi Arabia. An AI Based digital skill model (AI-BDS-M) for Electronic Human Resource (E-HR) purpose was conducted using 351 replies from small and medium sized enterprises. The advanced automation system for Human Resource Management (HRM) as designed is as a talent career management system driven by a talent intelligence module. The stated main objective of the program is to improve integration of professional assessment with planning. In our proposed framework, we have used planned learning protocols. Using this technique is a key aspect of a complete AI solution framework that would be improved by combining the technology organization environment (TOE) theory with the diffusion of innovation (DOI) theory. This framework was formulated to resolve issues in the field of AI. In addition to automated features provided in talent management platforms, this study will propose practical strategies for researchers to satisfy a company's individual talent development needs.