DocumentCode :
3151514
Title :
Establishing the traits for best performing employee selection in telecom sector through data mining
Author :
Mahmood, Sabahat ; Manarvi, Irfan
Author_Institution :
Int. Islamic Univ. Islamabad (IIUI), Islamabad, Pakistan
fYear :
2009
fDate :
6-9 July 2009
Firstpage :
1490
Lastpage :
1495
Abstract :
The research investigates top ten personality traits from top ten best performers for developing new hiring criteria for future hiring program to improve the employees performance which in return increase company´s productivity and profitability. A number of parameters were identified from past literature and used to develop a questionair for existing employees to establish their characteristics strengths. Perfomance of 100 call ceneter employees was evaluated over a period of six months. And the values for each parameter were established for top employees. The same values if included in employee selection tests could provide short listing of better quality employees from the start.
Keywords :
data mining; human resource management; personnel; productivity; profitability; data mining; employees performance; hiring criteria; personality traits; Cities and towns; Data mining; Educational products; Educational programs; Local government; Productivity; Profitability; Relational databases; Telecommunications; Testing; Data Mining; Hiring criteria; Personality Traits;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Industrial Engineering, 2009. CIE 2009. International Conference on
Conference_Location :
Troyes
Print_ISBN :
978-1-4244-4135-8
Electronic_ISBN :
978-1-4244-4136-5
Type :
conf
DOI :
10.1109/ICCIE.2009.5223641
Filename :
5223641
Link To Document :
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