Multicriteria group decision making for selecting human resources management information systems projects

Abstract

The application of information systems (IS) for supporting human resources management has become increasingly important for organizations in improving their competitiveness. The selection of the most suitable human resources management IS project, however, is complex and challenging due to the involvement of multiple decision makers, the multi-dimensional nature of the selection process and the presence of vagueness and imprecision inherent in the human decision making process. To adequately deal with this problem, this paper presents a multicriteria group decision making approach for selecting human resources management IS projects under uncertainty. Intuitionistic fuzzy numbers are used for effectively modelling the vagueness and imprecision of the decision making process. A multicriteria group decision making approach is developed for calculating an overall performance index for every human resources management IS project alternative across all criteria. A human resources management IS project selection problem is presented to demonstrate the effectiveness of the approach.