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The relationship between big five personality and job satisfaction among civil servants in China

Zhang, Xi (2016) The relationship between big five personality and job satisfaction among civil servants in China. Masters thesis, Universiti Teknologi Malaysia, Faculty of Management.

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Abstract

This study attempted to probe the relationship between Big Five personality and job satisfaction among civil servants in Administrative Service Centre of Ji Mo City, China. A set of questionnaire consisted of three parts that Part A, Part B and Part C was collected from 175 respondents in Administrative Service Centre of Ji Mo City, China. The instruments used in this study were Chinese Big Five Personality Inventory brief version (CBF-PI-B) and Minnesota satisfaction Questionnaire (MSQ). The data was analysed by using descriptive analysis and inferential analysis where the mean score and percentage were used to identify the level of personality dimensions and job satisfaction. While, t-test and one-way ANOVA were used to test the difference of job satisfaction based on demographic backgrounds and Pearson correlation method was used to identify the relationship between Big Five personality and job satisfaction. The finding revealed that the job satisfaction among civil servants in Administrative Service Centre of Ji Mo City, China was at high level. Moreover, the results showed that there were no significant differences of job satisfaction based on chosen demographic factors (gender, marital status, educational level, age and years of working experience) among the civil except for political status. Particularly, there were significant positive relationships between the Big Five personality traits dimensions of Openness to Experience, Conscientiousness, Extraversion, and Agreeableness and job satisfaction. Meanwhile, there was no significant relationship between Neuroticism and job satisfaction.

Item Type:Thesis (Masters)
Additional Information:Thesis (Sarjana Sains (Pembangunan Sumber Manusia)) - Universiti Teknologi Malaysia, 2016; Supervisor : Dr. Mastura Mahfar
Subjects:H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:Management
ID Code:81176
Deposited By: Fazli Masari
Deposited On:24 Jul 2019 03:35
Last Modified:24 Jul 2019 03:35

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