Author(s)

Feng-Hsiung Hou, Chun-Yuan Wang, Jia-Jiun Shu

Corresponding Author

Feng-Hsiung Hou

Abstract

This study empirically investigates the relationship between demographic factors (including position, gender, age, education, marriage, working experience) and artificial intelligence business employees’ organizational commitment. The study was conducted on 553 artificial intelligence business employees in Foshan. They were drawn from a variety of artificial intelligence business in Foshan. The design of the present study is to test the means of groups against the overall sample; the data collected were analyzed using descriptive statistics by frequency distributions, percentages, means, and standard deviations. Also, a one-way analysis of variance (ANOVA) was conducted to determine if significant differences existed in demographic factors effect organizational commitment for artificial intelligence business employees. Working experience, education, and Position were found that the top three most effecting variables of artificial intelligence business employees’ organizational commitment. Marriage was also found to affect the organizational commitment. Married artificial intelligence business employees were significantly more involved with their jobs than single artificial intelligence business employees. Work experience, age and education were found that the least three effecting variables of artificial intelligence business employees’ organizational commitment. The ANOVA results also indicated that there had significant relationship between the demographic factors (including position, gender, age, education, marriage, working experience) and artificial intelligence business employee s’ organizational commitment.

Keywords

Demographic factors, organizational commitment, artificial intelligence business