Hoo, Yuan Yien (2026) The impact of job performance, job satisfaction, skills development, and AI adoption on employee commitment. Final Year Project, UTAR.
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Abstract
This study investigates the factors influencing employee commitment in the modern workplace, specifically examining the impact of job performance, job satisfaction, skills development, and artificial intelligence (AI) adoption. As organizations rapidly integrate AI technologies, understanding how these digital shifts interact with traditional employee metrics is crucial for organizational stability and growth. A quantitative research design was employed, using a descriptive approach to collect data from 200 employees across various sectors in Malaysia via a Likert-scale Google Forms survey. Data analysis was conducted using the Statistical Package for Social Sciences (SPSS). The study used multiple regression analysis to test the hypotheses, alongside reliability and multicollinearity tests were conducted to ensure the internal consistency of the survey items and the distinctness of the independent variables. The results indicate that all four independent variables which are Job Performance, Job Satisfaction, Skills Development, and AI Adoption exert a significant positive influence on Employee Commitment. The model achieved an R2value of 0.487, indicating that nearly 49% of the variance in employee commitment is accounted for by these four factors. This shows that when companies use AI and help employees improve their skills, it makes workers feel more connected and loyal to their organization. The study concludes that fostering employee commitment requires a holistic approach that balances performance expectations with technological support. For practitioners and HR managers in Malaysia, these results imply that investing in AI is not merely a technical upgrade but a human resource strategy. When employees feel competent in an AI-augmented environment and satisfied with their growth, their loyalty to the firm increases. Future research should explore these dynamics across specific industries to determine if the impact of AI adoption varies by sector. Keywords: Employee Commitment, AI Adoption, Job Satisfaction, Skills Development, Job Performance.
| Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
|---|---|
| Subjects: | H Social Sciences > HG Finance H Social Sciences > HM Sociology |
| Divisions: | Faculty of Accountancy and Management > Bachelor of International Business (Honours) |
| Depositing User: | Sg Long Library |
| Date Deposited: | 11 Jun 2026 23:50 |
| Last Modified: | 11 Jun 2026 23:50 |
| URI: | http://eprints.utar.edu.my/id/eprint/7664 |
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