Application of Computational Technique to Assess the Performance of Staff for Sustainable Business

Abstract

Human resource is one of the most important component of any organization. Human Resource Management with reference to human resource planning and human resource development in order to enhance the performance and thus, productivity is very crucial for sustainability of an organization. Further, in order to motivate and retain efficient employees many of the business organization provides perks, incentives and salary hike too on the basis of performance of employees at various levels in any organization. However, the problem arises when different way or mechanism of performance measurement being used by various departments within an organization against set parameters. Hence, there are possibilities of discriminations or arising dis-satisfaction among employees in an organization. This can get reflect many times when low performer or less efficient employees gets more incentives as compare to efficient employees. This further demotivates efficient employees and accordingly may affect the growth of firm in future. In this context, although relative grading is one of the measures to address the performance of an employee during particular time period, the relative grading method may not be fully appropriate given its certain limitations (as discussed in paper). Therefore, the current study is undertaken with an attempt to address limitations faced by relative grading mechanism to measure the performance of an employee and suggest appropriate model as an improvement may be within or over and above existing relative grading process to address the problem and eliminate discrimination arising with reference to performance measurement.