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Extending technology acceptance model to the E-recruitment context in Iran

Version 2 2024-06-04, 08:15
Version 1 2014-10-28, 09:58
journal contribution
posted on 2024-06-04, 08:15 authored by Kia KashiKia Kashi, Zheng
Using a sample of 332 job applicants in Iran, this study integrates Technology Acceptance Model (TAM) and signaling theory to explain factors influencing applicants' behavioral intentions to apply for jobs online. Of the two main constructs of TAM, perceived usefulness was found to have a significant impact on applicants' behavioral intentions, while perceived ease of use was not. Based on the signaling theory, impression of the organizational website appeared to create interests in organization as a potential employer; hence, prompt applicants to apply for jobs. These results extend our understanding of the online recruitment in different context and provide further insights with regard to possible effects of website features on applicants' attractions toward organizations operating in Iran.

History

Journal

International journal of selection and assessment

Volume

21

Pagination

121-129

Location

West Sussex, England

ISSN

0965-075X

Language

eng

Publication classification

C1 Refereed article in a scholarly journal, C Journal article

Issue

1

Publisher

Wiley-Blackwell Publishing Ltd.