Journal of Management Information and Decision Sciences (Print ISSN: 1524-7252; Online ISSN: 1532-5806)


Expert competence level adjustment based on the project participation: method and evaluation

Author(s): Petrov, M., & Kashevnik, A.

The quality of experts’ competencies is critical for decision making in human resources and project management. Project managers use information about the organization's employees and their competencies to assign them to a particular project (form a project team). In case the project manager chooses the team incorrectly (the experts’ competencies do not relate to the project tasks) the results of the project will be unsuccessful. In this case, we can conclude that an important task for decision making in human resource management is keeping the information about experts’ competencies levels up to date. The paper describes a method for automatic experts’ competencies level adjustment based on the project success. In the scope of the method, we propose to analyze the project implementation results and to increase or decrease its experts’ competencies levels based on these results. We describe in the paper a dataset for experiments to evaluate the method for experts’ competencies level adjustment and discuss the evaluation results, which show that the competence level adjustment corresponds to the expected ones.

Get the App