University of Worcester Worcester Research and Publications

Examining job seekers' perception and behavioural intention toward online recruitment: A PLS path modelling approach

Moghaddam, H.A., Rezaei, Sajad ORCID: and Amin, M. (2015) Examining job seekers' perception and behavioural intention toward online recruitment: A PLS path modelling approach. Journal for Global Business Advancement, 8 (3). pp. 305-325. ISSN Print: 1746-966X Online: 1746-9678

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Electronic recruitment has become an essential practice among competitive firms in various industries owing to the importance of human resource capabilities toward building competitive positioning. The purpose of this study is to examine the impact of information content qualities (ICQ), vividness (VID), interactivity (INT), attractiveness and effectiveness (EFE), search engine optimisation (SEO), website ranking (WER), and ease of navigation (EN) on job seekers' perception and behavioural intention (BI). Structural equation modelling (SEM) using partial least squares (PLS) path modelling approach for assessment of measurement models and structural models was performed to empirically test the proposed hypothesis, taking 232 graduate students as target population. Our empirical results show that ICQ, VID, INT, EFE, SEO, and WER were positively related to graduate students' BI. In contrast, EN does not influence BI. The research implications, contribution, and limitations are discussed.

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Uncontrolled Discrete Keywords: human resource management, HRM, online recruitment, job seeker intentions, Malaysia, job seeker perceptions, behavioural intention, PLS path modelling, electronic recruitment, e-recruitment, structural equation modelling, SEM, partial least squares, graduate students, information content, vividness, interactivity, attractiveness, effectiveness, search engine optimisation, SEO, website ranking, ease of navigation
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: College of Business, Psychology and Sport > Worcester Business School
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Depositing User: Sajad Rezaei
Date Deposited: 13 May 2020 10:53
Last Modified: 17 Jun 2020 17:35

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