Open AccessHuman Resource Management System Development Based on Solving the Problems of Multi-Criteria Alternatives
Author(s) -
Elmira Popova,
Daria Zamotajlova,
Альфира Менлигуловна Кумратова,
V. V. Kolyada,
Anzhela Bashiyeva
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d8418.118419
Subject(s) - human resources , risk analysis (engineering) , electre , computer science , task (project management) , human resource management , adaptation (eye) , human resource management system , process management , management science , analytic hierarchy process , multiple criteria decision analysis , work (physics) , knowledge management , operations research , business , engineering , systems engineering , management , mechanical engineering , physics , optics , economics
Human resources have recently begun to reasonably become increasingly important. Today, they, along with material, intellectual, informational and financial resources, affect the efficiency of enterprises and organizations. A competent assessment of human resources, a clear understanding of how to interact with personnel and develop human resources is the basis for the effective work of both human resources departments and organizations in general. The complexity of assessing human resources and human resources necessitates the development of tools, the use of which will simplify it and ensure that you receive the clearest recommendations and assistance in the framework of managerial decision-making. A promising direction for the implementation of the indicated tools can be the development of a decision support system, within which, among other things, there will be the possibility of a multi-criteria analysis of alternatives. Due to the fact that there are no multicriteria analysis methods for alternatives designed specifically for assessing human resources, it is necessary to conduct a thorough analysis of them, the main purpose of which is to identify the most suitable base for further adaptation and development. After conducting preliminary studies, the authors chose the TOPSIS, MAUT, AHP and ELECTRE methods as the most promising for solving the task.