Relationship between Artificial Intelligence and Job Performance in Manufacturing Sector in Johor Bahru, Malaysia

Mar Sheng Yun, Irmawati Norazman, Ana Haziqah A Rashid and Satriadi
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Mar Sheng Yun: Human Resource Development Department, School of Human Resource Development & Psychology, Faculty of Social Science and Humanities, Universiti Teknologi
Irmawati Norazman: Human Resource Development Department, School of Human Resource Development & Psychology, Faculty of Social Science and Humanities, Universiti Teknologi
Ana Haziqah A Rashid: Human Resource Development Department, School of Human Resource Development & Psychology, Faculty of Social Science and Humanities, Universiti Teknologi
Satriadi: STIE Pembangunan Tanjungpinang

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 11, 4100-4113

Abstract: Along with the advancement of technology, artificial intelligence has become an indispensable part of our lives, especially towards the employee's job performance. Therefore, the objective of this study is to investigate the relationship between artificial intelligence and job performance in the manufacturing sector in Johor Bahru, Malaysia. The employee's job performance was identified through task performance, contextual performance, and counterproductive work behaviour. Past studies revealed that the adoption of artificial intelligence in the workplace could improve job performance. The quantitative method was used in this study, and the questionnaire was distributed to the 108 respondents involved in this study, which contribute to 100% of return rate. The researchers used a cross-sectional design to investigate the relationship between artificial intelligence and job performance in manufacturing sector in Johor Bahru, Malaysia. The researchers allocated the questionnaire through email to the respondents from the manufacturing industry in different companies which mainly focus on small-medium enterprise that located in Mount Austin and Kempas, Johor Bahru. Besides, the Statistical Package for Social Science (SPSS) version 27 was used to analyse the descriptive and inferential statistics of the data. The descriptive analysis included the mean score, frequency, standard deviation and percentage to identify the level of artificial intelligence and job performance of the respondents. Also, the inferential analysis which is the Pearson Correlation was used to examine the relationship between two variables. The findings showed the level of artificial intelligence and job performance of the respondents at a high level. Then, there is a significant and positive relationship between artificial intelligence and job performance. Furthermore, this study can be used as a guide and a reference for other researchers on related topics in future research, which the organisation can determine whether the use of artificial intelligence in the workplace will eventually affect job performance in the workplace.

Date: 2025
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