Academic Journal

Competency-based IT personnel selection using a hybrid SWARA and ARAS-G methodology.

التفاصيل البيبلوغرافية
العنوان: Competency-based IT personnel selection using a hybrid SWARA and ARAS-G methodology.
المؤلفون: Heidary Dahooie, Jalil, Beheshti Jazan Abadi, Elham, Vanaki, Amir Salar, Firoozfar, Hamid Reza
المصدر: Human Factors & Ergonomics in Manufacturing & Service Industries; Jan2018, Vol. 28 Issue 1, p5-16, 12p
مصطلحات موضوعية: INFORMATION technology personnel, DECISION making, COMPETITIVE advantage in business
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:21574650
DOI:10.1002/hfm.20713