This research identifies algorithms to improve job competencies and efficiency in human resource management, highlighting organizational performance benefits.
Job and employee analysis is recognized as a key tool in human resource management. This research examines different methods of job analysis and their impact on organizational performance. Despite technological advances, many organizations still use traditional methods for job and employee analysis, which leads to inaccuracy and inefficiency in recruitment and human resource development processes. This article examines the challenges in this field. Inaccuracy in job analysis can lead to incorrect selection of employees and, as a result, reduced organizational productivity. This research examines the negative effects of inaccuracy in job analysis on organizational performance. The aim of this research is to design and implement Access-based software for job and employee analysis that can increase the accuracy and efficiency of these processes. This article examines new solutions in human resource management. The specific objectives of this research include identifying and analyzing job needs in organizations, which examine job needs assessment methods, providing algorithms for assessing job competencies, which deals with providing new algorithms for assessing competencies, and creating a comprehensive database for storing and managing job and employee information, which examines database management in human resources.
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