A confirmatory factor analysis on task-technology fit for a student portal
This research seeks to identify the predictors of task-technology fit in the context of student portal. The population comprises undergraduate students who are registered and active at three faculties in a public institution of higher learning in Malaysia. The sample is 570 students drawn using clus...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://eprints.sunway.edu.my/103/1/ICS2011_11.pdf http://eprints.sunway.edu.my/103/ |
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| _version_ | 1831341262249132032 |
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| author | Norshidah, Mohamed Muna Azuddin, Nor, Shahriza Abdul Karim Ramlah Hussein, * |
| author_facet | Norshidah, Mohamed Muna Azuddin, Nor, Shahriza Abdul Karim Ramlah Hussein, * |
| author_sort | Norshidah, Mohamed |
| building | Sunway Campus Library |
| collection | Institutional Repository |
| content_provider | Sunway University |
| content_source | Sunway Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This research seeks to identify the predictors of task-technology fit in the context of student portal. The population comprises undergraduate students who are registered and active at three faculties in a public institution of higher learning in Malaysia. The sample is 570 students drawn using cluster sampling approach based on courses offered according to the level of study at each faculty. The study adapted six measures from past e-commerce study and found five predictors of task-technology fit. |
| format | Conference or Workshop Item |
| id | my.sunway.eprints.103 |
| institution | Sunway University |
| language | en |
| publishDate | 2011 |
| record_format | eprints |
| spelling | my.sunway.eprints.1032019-05-13T09:21:56Z http://eprints.sunway.edu.my/103/ A confirmatory factor analysis on task-technology fit for a student portal Norshidah, Mohamed Muna Azuddin, Nor, Shahriza Abdul Karim Ramlah Hussein, * QA76 Computer software This research seeks to identify the predictors of task-technology fit in the context of student portal. The population comprises undergraduate students who are registered and active at three faculties in a public institution of higher learning in Malaysia. The sample is 570 students drawn using cluster sampling approach based on courses offered according to the level of study at each faculty. The study adapted six measures from past e-commerce study and found five predictors of task-technology fit. 2011-06 Conference or Workshop Item PeerReviewed text en http://eprints.sunway.edu.my/103/1/ICS2011_11.pdf Norshidah, Mohamed and Muna Azuddin, and Nor, Shahriza Abdul Karim and Ramlah Hussein, * (2011) A confirmatory factor analysis on task-technology fit for a student portal. In: Symposium on Information & Computer Sciences (1st). |
| spellingShingle | QA76 Computer software Norshidah, Mohamed Muna Azuddin, Nor, Shahriza Abdul Karim Ramlah Hussein, * A confirmatory factor analysis on task-technology fit for a student portal |
| title | A confirmatory factor analysis on task-technology fit for a student portal |
| title_full | A confirmatory factor analysis on task-technology fit for a student portal |
| title_fullStr | A confirmatory factor analysis on task-technology fit for a student portal |
| title_full_unstemmed | A confirmatory factor analysis on task-technology fit for a student portal |
| title_short | A confirmatory factor analysis on task-technology fit for a student portal |
| title_sort | confirmatory factor analysis on task-technology fit for a student portal |
| topic | QA76 Computer software |
| url | http://eprints.sunway.edu.my/103/1/ICS2011_11.pdf http://eprints.sunway.edu.my/103/ |
| url_provider | http://eprints.sunway.edu.my/ |