Job recruitment analysis on Faculty of Information Technology and Quantitative Science (FITQS)'s graduates / Siti Uraidah Udin

Udin, Siti Uraidah (2004) Job recruitment analysis on Faculty of Information Technology and Quantitative Science (FITQS)'s graduates / Siti Uraidah Udin. Degree thesis, Universiti Teknologi MARA.

Abstract

Nowadays, the lack of trained Information Technology experts and knowledge workers in
supporting application diffusion in the public sector is a major challenge in the efforts to
expand the use of Information of Communication Technology in the country. As working
mechanism have received growing attention from entrepreneurs, executives, investors and
industry, Faculty Of Information Technology And Quantitative Science graduates have
progressively come to be considered a critical part for developing a successful graduates
in getting a job. Based on an earlier policy-capturing study of the Big Five personality
traits by J.M Digman and general mental ability, this research explores and analyzes the
recruitment preference on Faculty of Information Technology and Quantitative Science's
graduates across five important personal attributes, including not only personality but also
practical skill dimensions. Among knowledge, skills, abilities, and personality, the
personality of a candidate has a relatively greater impact on the hiring decision. The other
attributes, in order of importance, include conscientiousness, communication skills, and
openness to new experiences, friendliness, and agreeableness Skill has been defined as
the application of prior knowledge and experience to successfully achieve a specific
outcome. From the previous Big Five personality traits, the Job Recruitment Model was
produce and skills and knowledge become part of them. This is because from the chisquare
analysis and correlation analysis show that it is dependent to job recruitment and
has significance towards job recruitment. The results of this study show that all this
attributes are required in getting a job and the new model is develop.

Metadata

Item Type: Thesis (Degree)
Creators:
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Udin, Siti Uraidah
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Keywords: Job recruitment analysis, information technology, knowledge worker, Faculty Of Information Technology And Quantitative Science
Date: 2004
URI: https://ir.uitm.edu.my/id/eprint/981
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