Factors influencing behavioral intention to use computerized system among employees in a semiconductor company in Kulim, Kedah

The rapid digitalisation of manufacturing under Industry 4.0 has introduced computerised monitoring system to enhance efficiency, traceability, and sustainability. In this context, the semiconductor company in Kulim, Kedah implemented the computerized system to automated lid tracking and reduce e-waste. However, the success of such systems depends largely on user acceptance, which remains a critical challenge. This study aims to examine the behavioural intention of employees to adopt the system by integrating constructs from the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Specifically, the study investigated the influence of perceived usefulness, perceived ease of use, performance expectancy, effort expectancy, social influence, and facilitating conditions on employees’ behavioural intention. A quantitative, cross-sectional design was employees’ using structured self -administered questionnaires distributed to 169 employees directly interacting with the system. Reliability was verified through pilot testing and Cronbach’s alpha, while hypotheses were tested using descriptive statistics, correlation, and multiple regression analysis in SPSS. The findings revealed that all the six independent variables significantly influenced behavioural intention. Social influence demonstrated the strongest correlation, underscoring the role of managerial and peer encouragement in system adoption. Performance expectancy, and effort expectancy also showed strong positive relationship. The study concludes that improving usability, providing training, and ensuring technical support are essential to enhance acceptance. Management involvement and peer motivation are critical for sustaining adoption, while future research should expand to other semiconductor plant and employ longitudinal designs