Effective job placement as a sphere of employment management in an organization is generally regarded as critical for positive maintenance of the organization and for a resulting increase in company-wide productivity. Managers of a personnel department in an organization have commonly tried various approaches to achieve philosophy effective job placement as a crucial part of employment management based on the principle of right-person-in-right-place. However, these approaches are usually dependent on rule of thumb without consideration of the methodologies for identifying aptitudes and personalities of employees. Therefore, more appropriate methodologies and subsequent computer-aided systems are required to evaluate current employees' potential and appropriate placement. This study, as a phase of developing the entire employment management systems in this organization (POSCO), suggests an expert system leading to a running system as a means for effective job placement. We also discuss methodologies to be applied for each lifecycle in constructing the expert system, especially focusing on the main components of the expert system such as structure of rule base, inference engine, and user interface.
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