文章基本信息

标题：Acceptance and Intention to Use the iLearn System in an Automotive Semiconductor Company in the Northern Region of Malaysia
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作者：Rekah Veloo ; Rekah Veloo ; Mona Masood 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2014
卷号：116
页码：1378-1382
DOI：10.1016/j.sbspro.2014.01.401
语种：English
出版社：Elsevier
摘要：This study investigates the factors affecting employee's acceptance and intention to use the e-Learning system called the iLearn. Combining the Innovation Diffusion Theory (IDT) with Technology Acceptance Model (TAM), the present study proposes an extended technology acceptance model. The proposed model was tested with data collected from 100 employees with various position backgrounds from one of the Automotive Semiconductor Company in Northern Malaysia who currently uses the iLearn (an e-Learning gateway) training system. The results indicated gender, age, position and comfortableness of using computer are the factors affecting the employee's acceptance and intention towards the use of the iLearn system. The employees behavioural intention (BI) was shown to be significantly influenced by perceived usefulness (PU) and perceived ease of use (PEU) towards the iLearn system. Specifically, IDT has been utilized to examine factors affecting the adoption of the iLearn system by employees for the purpose of job enhancement. The relative advantage (ADV) shows a positive effect on the PU, PEU and BI. Meanwhile, the result shows that compatibility (CPA) had negative effect on the PU, PEU and BI. Meanwhile, trialability (TRI) and complexity (CPL) had positive effect on PEU, but negative effect on PU and BI. Observability (OBS) had positive effect on PU but negative effect on PEU and BI. These findings suggest that Human Resource Training and Development of the company should consider factors of technology acceptance and employee's intention towards the iLearn system to enhance their skills and knowledge in order to achieve excellent job performance.
关键词：Technology Acceptance Model;Innovation Diffusion Theory;iLearn;Training