In view of the significance of personal performance assessment in the working metrics of human resource management, this study proposes to set up a multi-class Support Vector Machine based model to elaborate how to evaluate the staffs' performance effectively and efficiently. Data samples are collected from a construction company in China, and used to justify the proposed model against the selected well-established classifiers. The experimental results suggest it to be a promising alternative for assessing personal performance.
Viewing the role of senior managers in organizations, the human resource managers suffer from the lack of handson tools for the performance evaluation of senior managers. This study reports the design of expert systems for senior managers' performance evaluation. Different from the normal information systems for employee performance appraisal, several modular components for this special case are designed under the guidelines of designing expert systems in previous literature.
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