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

Kashi, Kia and Zheng, Connie 2013, Extending technology acceptance model to the E-recruitment context in Iran, International journal of selection and assessment, vol. 21, no. 1, pp. 121-129, doi: 10.1111/ijsa.12022.

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Title Extending technology acceptance model to the E-recruitment context in Iran
Author(s) Kashi, KiaORCID iD for Kashi, Kia orcid.org/0000-0003-2543-5142
Zheng, ConnieORCID iD for Zheng, Connie orcid.org/0000-0001-6152-1115
Journal name International journal of selection and assessment
Volume number 21
Issue number 1
Start page 121
End page 129
Total pages 9
Publisher Wiley-Blackwell Publishing Ltd.
Place of publication West Sussex, England
Publication date 2013-03
ISSN 0965-075X
Summary 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.
Language eng
DOI 10.1111/ijsa.12022
Field of Research 150305 Human Resources Management
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30050567

Document type: Journal Article
Collections: Faculty of Business and Law
Deakin Graduate School of Business
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