Understanding online job search behaviour through the lens of TAM and DTPB: A new-collar job seeker perspective

Abstract

BackgroundThe industrial revolutions have significantly impacted the labour workforce due to technological changes. Consequently, these changes have reshaped the job search landscape, necessitating a deeper understanding of job search behaviour.ObjectiveThis study explores the determinants influencing new-collar job seekers’ use of online job search platforms through an integrated model combining the technology acceptance model (TAM) and decomposed theory of planned behaviour (DTPB).MethodThree hundred thirty responses from new-collar job seekers in the East Coast region of Malaysia were analysed using partial least squares-structural equation modelling (PLS-SEM 4).ResultsEight of the nine hypotheses developed from the TAM and DTPB variables had a significant impact. The study highlights that sociodemographic factors, digital skills, experience, and platform usability contributed to the insignificance of perceived ease of use in influencing the attitude of new-collar job seekers. Although actual behavioural control failed to moderate the relationship between intention and behaviour, this finding provides valuable insights into the role of this variable in the context of online job search platforms.ConclusionThe findings of this study enhance the understanding of new-collar workers’ behaviours in Malaysia. By gaining insights into these behaviours, the study underscores the importance of various stakeholders in the labour market being better prepared for future conditions, ultimately supporting Malaysia’s efforts to achieve developed country status.