Abstract
AbstractSelecting human resources represents complex tasks and ultimately determines an organisation's future stability and development. High‐quality selection procedures serve as the basis for proper employee utilisation and individual career development, which generate organisational success. To be most effective, in addition to applicant competency in the field, decision makers use various selection techniques and tools. These are applied to reveal and distinguish applicants' characteristics, qualifications and competencies, as well as to predict their success and organisational contribution specified for each profession and position. The main aim of this paper is to develop a fuzzy multicriteria model based on the technique for order preference by similarity to ideal solution (TOPSIS) as support for decision making when teaching and research staff are selected for employment within higher education. The model is based on hierarchically structured selection criteria fortified by the different qualitative and quantitative nature of each criterion, as well as the influence of required experts' competencies. We apply this model in the higher education sector for selecting teaching and research staff in Croatia.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
