Competency-based IT personnel selection using a hybrid SWARA and ARAS-G methodology
| Autor: | Jalil Heidary Dahooie, Elham Beheshti Jazan Abadi, Hamid Reza Firoozfar, Amir Salar Vanaki |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
Knowledge management business.industry Knowledge economy media_common.quotation_subject 05 social sciences Personnel selection Information technology Human Factors and Ergonomics 02 engineering and technology Multiple-criteria decision analysis Competitive advantage Industrial and Manufacturing Engineering Risk analysis (engineering) 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business Human resources Function (engineering) 050203 business & management Selection (genetic algorithm) media_common |
| Zdroj: | Human Factors and Ergonomics in Manufacturing & Service Industries. 28:5-16 |
| ISSN: | 1090-8471 |
| DOI: | 10.1002/hfm.20713 |
| Popis: | In the knowledge economy, human capital is a key factor in any organization to achieve a sustainable competitive advantage. Thus, selection of competent personnel is the most important function of human resource managers. However, because of a wide range of criteria and organizational factors that affect the process, personnel selection is often regarded as a complex problem that can be answered through multicriteria decision-making (MCDM) procedures. Despite the great importance of determining a comprehensive set of criteria, it has not gained enough attention in the literature. This study presents a competency framework with five criteria for choosing the best information technology (IT) expert from five alternatives. The stepwise weight assessment ratio analysis (SWARA) and grey additive ratio assessment (ARAS-G) methods are also used to derive the criteria weights and provide the final alternative, respectively. The results reveal that subject competency is the major criteria in IT personnel selection. |
| Databáze: | OpenAIRE |
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