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dc.contributor.authorHsia, Jung-Wenen_US
dc.contributor.authorChang, Chia-Chien_US
dc.contributor.authorTseng, Ai-Huaen_US
dc.date.accessioned2014-12-08T15:34:35Z-
dc.date.available2014-12-08T15:34:35Z-
dc.date.issued2014-01-02en_US
dc.identifier.issn0144-929Xen_US
dc.identifier.urihttp://dx.doi.org/10.1080/0144929X.2012.702284en_US
dc.identifier.urihttp://hdl.handle.net/11536/23609-
dc.description.abstractHigh-tech companies encounter intense competition in today's global economy. With rapid changes in working environments, high-tech employees must learn quickly and effectively to solve difficult problems and increase their productivity. Many large high-tech companies have recently implemented electronic learning (e-learning) for employee training. However, e-learning systems are expensive and often underutilised. Therefore, understanding the factors associated with acceptance to e-learning are of priority concern. By integrating locus of control, computer self-efficacy and technology acceptance model (TAM) into one model, this study examines the feasibility of the extended TAM to explain employee acceptance of e-learning systems. Data were collected from 223 employees at five high-tech companies located in the Hsinchu Science Park, Taiwan. Analytical results indicate that locus of control had significant direct effects on perceived usefulness and perceived ease of use. Computer self-efficacy had significant direct effects on perceived ease of use and behavioural intention to use. Overall, analytical results provide strong support for using the extended TAM to explain user acceptance of e-learning systems. The research and practical implications of findings are discussed.en_US
dc.language.isoen_USen_US
dc.subjectelectronic learning (e-learning)en_US
dc.subjectindividual differenceen_US
dc.subjectpersonalityen_US
dc.subjectlocus of controlen_US
dc.subjectcomputer self-efficacyen_US
dc.subjecttechnology acceptance modelen_US
dc.titleEffects of individuals' locus of control and computer self-efficacy on their e-learning acceptance in high-tech companiesen_US
dc.typeReviewen_US
dc.identifier.doi10.1080/0144929X.2012.702284en_US
dc.identifier.journalBEHAVIOUR & INFORMATION TECHNOLOGYen_US
dc.citation.volume33en_US
dc.citation.issue1en_US
dc.citation.spage51en_US
dc.citation.epage64en_US
dc.contributor.department管理科學系zh_TW
dc.contributor.departmentDepartment of Management Scienceen_US
dc.identifier.wosnumberWOS:000330021400005-
dc.citation.woscount2-
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