Development and Validation of The Technology Acceptance Model (TAM) for Information Technology (IT) Job Seekers In Kuala Lumpur using Exploratory and Confirmatory Factor Analysis

Yee Chin Yip, Ng Siew Yin

Abstract


The Technology Acceptance Model (TAM) has been pivotal in assessing the effectiveness of intentions to use e-recruitment (ER), which emerged as the primary job-searching mechanism during the Covid- 19 crisis and the ongoing digital era. In Malaysia, ER has completely supplanted traditional job application methods, presenting new avenues for interaction and communication between employers and potential employees. Despite these advancements, the adoption and intention to use ER among IT job seekers in Kuala Lumpur require enhancement. Originating from the Theory of Reasoned Action (TRA)-a psychological theory that elucidates the relationship between attitudes and behaviours-TAM was employed to develop a measurement instrument aimed at investigating this issue more deeply. A pilot test in this cross-sectional study garnered 126 responses from the IT industry, which were subjected to exploratory factor analysis (EFA) using SPSS. The EFA results indicated that all items should be retained. Subsequently, the actual data collection for the study yielded 366 responses from IT employees, which underwent confirmatory factor analysis (CFA) with AMOS. The results validated the TAM model's criteria, confirming its effectiveness in evaluating job seekers' intentions to use e-recruitment (ER). TAM's insights are not only theoretical but also offer practical implications for system design enhancements to boost job seekers' technology adoption and use. Furthermore, the model may suggest additional strategies to raise awareness about the intention to use e-recruitment, thus potentially increasing the efficacy of job search efforts.

Keywords


Technology Acceptance Model (TAM); Exploratory Factor Analysis (EFA); Confirmatory Factor Analysis (CFA); Kuala Lumpur (KL); intentions to use e-recruitment (ER)

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References


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