Using Facebook® to Gain Academic Information: The Case of a Private Higher Education Institution in Malaysia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract: Logistics Department in one of the private higher education institution has encouraged its students to obtain information at the departmental level from its Facebook ® account named Logistics Student Association (LSA) Facebook®. This study applies two models namely the Information System Success Model (ISSM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). Dimensions in the ISSM as well as in the UTAUT were used to investigate the perceptions from the logistics students pertaining to the LSA Facebook®. Data was gathered through questionnaires from 183 logistics students. Respondents provided their answers by perceiving the user satisfaction, system quality and information quality towards the behavioral intention to use the LSA Facebook®. Results indicated that system quality and user satisfaction are positively associated with the behavioral intention but not information quality. The standardized coefficients for user satisfaction was higher (β =.23) compared to system quality (β =.20) toward behavioral intention at p value <.001. The study implies that improving system quality and user satisfaction would yield high response from the users.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it