Open AccessInvestigating Job Satisfaction Using Exploratory Factor Analysis at ABC Factory
Author(s) -
Wan Noor Hayatie Wan Abdul Aziz,
F. Zulkipli,
M. H. Mohammad Hamzah,
Fahrizal Azhar,
Siti Khatijah Nor Abdul Rahim
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.33.23484
Subject(s) - respondent , exploratory factor analysis , factory (object oriented programming) , job satisfaction , workforce , productivity , set (abstract data type) , factor (programming language) , exploratory research , work (physics) , psychology , operations management , applied psychology , computer science , business , marketing , engineering , social psychology , sociology , political science , mechanical engineering , anthropology , economics , law , macroeconomics , programming language , service (business)
The aim of this research is to study the workforce allocation at ABC Factory. A set of questionnaire consists of two parts, which are background of respondent and job satisfaction components were distributed among 80 employees. The statistical method exploratory factor analysis (EFA) was used to classify the components. As a result, the research revealed that there are three main components which are work environment, productivity, and organization can be classified by 25 questions.