Multiple regression analysis of job satisfaction among employees at ABC factory / Nurul Husna Jamian ... [et al.]

Jamian, Nurul Husna and Mohammad Hamzah, Mohd Hafiz and Wan Abdul Aziz, Wan Noor Hayatie and Azhar, Farah Waheeda (2020) Multiple regression analysis of job satisfaction among employees at ABC factory / Nurul Husna Jamian ... [et al.]. Mathematical Sciences and Informatics Journal (MIJ), 1 (1). pp. 90-95. ISSN 2735-0703

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Abstract

Job satisfaction is a crucial issue for the company to achieve high productivity and reduce employee turnover. If organization can give the workers satisfaction, it is not only increasing image of an organization, but it also increases motivation and productivity of all workers. Employee who satisfied with their job intention to give the best effort to the company and tend to stay long in the factory. Hence, the purpose of this research is to find out the factor that influence job satisfaction among workers at ABC factory. 80 employees at the ABC Factory completed a set of questionnaire consists of two parts, which are background of respondent and job satisfaction components. Multiple Linear Regression is used to analyze the result to achieve the objective stated. The findings revealed that among four independent variables, Work Environment and Organization have significantly effect Job Satisfaction at ABC Factory.

Metadata

Item Type: Article
Creators:
Creators
Email
Jamian, Nurul Husna
nurul872@uitm.edu.my
Mohammad Hamzah, Mohd Hafiz
mhafiz85@uitm.edu.my
Wan Abdul Aziz, Wan Noor Hayatie
wanno124@uitm.edu.my
Azhar, Farah Waheeda
farah154@uitm.edu.my
Subjects: Q Science > QA Mathematics > Mathematical statistics. Probabilities > Data processing
Q Science > QA Mathematics > Multivariate analysis. Cluster analysis. Longitudinal method > Regression analysis. Correlation analysis. Spatial analysis (Statistics)
Divisions: Universiti Teknologi MARA, Perak > Tapah Campus > Faculty of Computer and Mathematical Sciences
Journal or Publication Title: Mathematical Sciences and Informatics Journal (MIJ)
UiTM Journal Collections: Others > Mathematical Science and Information Journal
ISSN: 2735-0703
Volume: 1
Number: 1
Page Range: pp. 90-95
Official URL: https://www.mijuitmjournal.com/
Item ID: 38994
Uncontrolled Keywords: Job Satisfaction; Organization; Productivity; Work Environment; Multiple Linear Regression
URI: https://ir.uitm.edu.my/id/eprint/38994

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38994

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