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Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method

—Job recruitment portals become the main recruitment channel in most of the organizations nowadays because they offer many advantages to recruiters and job applicants. An outstanding recruitment system should be able to filter and recommend the best potential candidates for a job vacancy so that...

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Main Authors: Bong, Chih How, Tan, Jia Kae, Lee, Nung Kion, Ahmad Sofian, Shminan
Format: Article
Language:English
Published: Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2017
Subjects:
QA76 Computer software
Online Access:http://ir.unimas.my/id/eprint/30693/1/Bong%20Chih%20How.pdf
http://ir.unimas.my/id/eprint/30693/
https://journal.utem.edu.my/index.php/jtec/index
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spelling my.unimas.ir.306932022-09-29T03:07:39Z http://ir.unimas.my/id/eprint/30693/ Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method Bong, Chih How Tan, Jia Kae Lee, Nung Kion Ahmad Sofian, Shminan QA76 Computer software —Job recruitment portals become the main recruitment channel in most of the organizations nowadays because they offer many advantages to recruiters and job applicants. An outstanding recruitment system should be able to filter and recommend the best potential candidates for a job vacancy so that it can avoid hiring of inappropriate individuals or miss out the good candidates. Nevertheless, most of the existing job portals do not cover the unskilled job sectors. Matching unskilled jobs to applicants is challenging because the selection criteria can be very subjective and difficult to specify in terms of professional qualifications. In this paper, Kansei Engineering (KE) Model is applied to find the most prominent personality traits that are preferred by employers in different unskilled job categories in Malaysia. We have identified most prominent 20 Kansei words related to personality traits that are important to six main industries of unskilled workers. The six unskilled sectors involved are construction, hotel, manufacturing, restaurant, sales, and service. 60 employers from the six sectors were interviewed to rank the 50 personality traits identified. Those ranked personality traits can potentially be used for recruitment selection and filtering of unskilled job applicants. Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM) 2017 Article PeerReviewed text en http://ir.unimas.my/id/eprint/30693/1/Bong%20Chih%20How.pdf Bong, Chih How and Tan, Jia Kae and Lee, Nung Kion and Ahmad Sofian, Shminan (2017) Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9 (9). pp. 1-7. ISSN 2289-8131 https://journal.utem.edu.my/index.php/jtec/index
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Bong, Chih How
Tan, Jia Kae
Lee, Nung Kion
Ahmad Sofian, Shminan
Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
description —Job recruitment portals become the main recruitment channel in most of the organizations nowadays because they offer many advantages to recruiters and job applicants. An outstanding recruitment system should be able to filter and recommend the best potential candidates for a job vacancy so that it can avoid hiring of inappropriate individuals or miss out the good candidates. Nevertheless, most of the existing job portals do not cover the unskilled job sectors. Matching unskilled jobs to applicants is challenging because the selection criteria can be very subjective and difficult to specify in terms of professional qualifications. In this paper, Kansei Engineering (KE) Model is applied to find the most prominent personality traits that are preferred by employers in different unskilled job categories in Malaysia. We have identified most prominent 20 Kansei words related to personality traits that are important to six main industries of unskilled workers. The six unskilled sectors involved are construction, hotel, manufacturing, restaurant, sales, and service. 60 employers from the six sectors were interviewed to rank the 50 personality traits identified. Those ranked personality traits can potentially be used for recruitment selection and filtering of unskilled job applicants.
format Article
author Bong, Chih How
Tan, Jia Kae
Lee, Nung Kion
Ahmad Sofian, Shminan
author_facet Bong, Chih How
Tan, Jia Kae
Lee, Nung Kion
Ahmad Sofian, Shminan
author_sort Bong, Chih How
title Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
title_short Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
title_full Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
title_fullStr Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
title_full_unstemmed Identification of Personality Traits for Recruitment of Unskilled Occupations using Kansei Engineering Method
title_sort identification of personality traits for recruitment of unskilled occupations using kansei engineering method
publisher Faculty of Electronic and Computer Engineering (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)
publishDate 2017
url http://ir.unimas.my/id/eprint/30693/1/Bong%20Chih%20How.pdf
http://ir.unimas.my/id/eprint/30693/
https://journal.utem.edu.my/index.php/jtec/index
_version_ 1745566052913250304
score 13.211869

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