Neural Network Web-Based Human Resource Management System Model (NNWBHRMSM)

Abstract

As business activities are becoming increasing globally and as numerous firms expand their operations into overseas markets, there is need for human resource management (HRM) to ensure that they hire and keep good employees. From ages, firms/organizations have been having great problems in getting the right professionals into appropriate jobs and training. This research focuses at exploiting information technology in order to overcome these problems. The system, which is a network of inter–related processes, collects data from applicants through a web-based interface and matches with appropriate jobs. This prevents the frustration and some other problems inherent in the manual method of job recruitment, which is the traditional unstructured interview and knowledge based method for matching applicants to jobs. The proposed system is a neural network web-based human resource management system model running on Internet Information (IIS) server with capabilities for Active Server Page (ASP) and Microsoft Access; while Hypertext Markup Language (HTML) are used for authoring web pages. Finally, the system can run on the minimum Pentium machines with Windows XP operating system