Attribute-based recruitment of knowledge workers using MADM approach
by Piyali Ghosh, V.P. Agarwal, Geetika
J. for International Business and Entrepreneurship Development (JIBED), Vol. 3, No. 3/4, 2008

Abstract: This paper analyses the feasibility of optimum recruitment of software professionals by employing an MADM approach called TOPSIS, by way of identifying skills, qualities and other attributes of these professionals for a given job or application. It develops an n-digit alphanumeric attribute code for knowledge workers in tabular form and further identifies pertinent attributes dependent on specific job requirements. It also evaluates and compares any candidate with respect to a positive and negative ideal solution and ensures that the candidate optimally recruited is the closest to the ideal solution and the furthest from the worst solution. It has further suggested sensitivity analysis using this coding scheme and TOPSIS, which may find application in re-engineering training programmes in critical areas.

Online publication date: Mon, 30-Jun-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the J. for International Business and Entrepreneurship Development (JIBED):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com