Extending Technology Acceptance Model to the E-recruitment Context in Iran
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 signi...
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| Veröffentlicht in: | International journal of selection and assessment 2013-03, Vol.21 (1), p.121-129 |
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| container_end_page | 129 |
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| container_issue | 1 |
| container_start_page | 121 |
| container_title | International journal of selection and assessment |
| container_volume | 21 |
| creator | Kashi, Kia Zheng, Connie |
| description | 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. |
| doi_str_mv | 10.1111/ijsa.12022 |
| format | Article |
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| identifier | ISSN: 0965-075X |
| ispartof | International journal of selection and assessment, 2013-03, Vol.21 (1), p.121-129 |
| issn | 0965-075X 1468-2389 |
| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Technology Acceptance Model |
| title | Extending Technology Acceptance Model to the E-recruitment Context in Iran |
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