Multidimensional Personnel Selection Through Combination of TOPSIS and Hungary Assignment Algorithm

• Autorzy: Hossein Safari , Virgilio Cruz-Machado , Amin Zadeh Sarraf , Meysam Maleki
• Języki publikacji: EN

Abstrakty

EN

This paper proposes an effective solution based on combined TOPSIS and Hungary assignment approach to help companies that need to assign personnel to different departments. An extension of TOPSIS (technique for order performance by similarity to ideal solution) combined by Hungary assignment algorithm is represented for this purpose. According to decrease resistance of employee opposite of recruitment of new employee, Decision criteria are obtained from the nominal group technique (NGT) and managers of each departments has been involved in decision making process. In the presented solution, managers of four departments have been involved in evaluating four candidates for their department and data is analyzed by TOPSIS and at the end, an effective fit between personnel and their corresponding department is presented. (original abstract)

Słowa kluczowe

EN

Personnel decision making; Personnel selection; Recruitment criteria; Multicriteria analysis; Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)

PL

Podejmowanie decyzji kadrowych; Selekcja personalna; Kryteria rekrutacji pracowników; Analiza wielokryterialna; Metoda TOPSIS

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2014
• Tom: 5
• Numer: nr 1
• Strony: 42--50

Twórcy

autor

Hossein Safari

• University of Tehran, Iran

autor

Virgilio Cruz-Machado

• Universidade Nova de Lisboa, Portugal

autor

Amin Zadeh Sarraf

• University of Tehran, Iran

autor

Meysam Maleki

• Universidade Nova de Lisboa, Portugal

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Identyfikatory

DOI

10.2478/mper-2014-0006