Prediction of Employees’ Performance of an Organization Using Bayesian Network

Abstract

The assessment of employees’ performance in an organization not only identifies the staff abilities, but also has a significant role in improvement of that organization’s performance; the reason is that by encouraging staff in optimal performing their tasks, the productivity of the organization would be improved. There are several ways to assess the performance of employees; each can be used in its own place. The managers must select the best way of assessment for their organizations and perform the assessment according to that way in order to reduce the probability of error and increase the accuracy of the assessment. In this article, it was attempted to present a model for assessment, using Bayesian network tools that has a lower level of error and a high level of accuracy and needs less time for assessment. To do this, at first the effective components in assessment are specified, then the dataset are provided for this components and by separating the values of this dataset, its Bayesian network is created and finally we use the created model for the assessment.