Factors perceived to influence the selection of information technology jobs
Usha Ananthakumar and
Amrutaunshu N. Nerurkar
International Journal of Business Performance and Supply Chain Modelling, 2011, vol. 3, issue 1, 86-98
Abstract:
There are huge tangible as well as intangible costs involved in the recruitment process, especially for information technology (IT) companies. Reduced recruitment costs would indirectly boost the business performance. The present work is a study undertaken to assess the factors perceived to influence the selection of the IT jobs using factor analysis for three IT companies operational in India differing in certain parameters. This study uses two highly promising but underutilised factor retention criteria namely, parallel analysis (PA) and minimum average partial (MAP) technique. We found that these two retention criteria provide consistent results in determining the number of factors and the use of PA and MAP in factor analysis can significantly reduce the subjective interpretation of supposedly objective methods. The study would be useful for the human resource department of the IT firms to understand the psyche of the candidates before making a recruitment pitch in front of them.
Keywords: factor analysis; information technology; business performance; parallel analysis; minimum average partial; MAP; human resources; profile analysis; recruitment costs; retention criteria. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=39975 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbpsc:v:3:y:2011:i:1:p:86-98
Access Statistics for this article
More articles in International Journal of Business Performance and Supply Chain Modelling from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().