Acceptance of Information System Modules in Logistics Program: Perceptions From Logistics and Supply Chain Undergraduate Students
Bibliographic record
Abstract
In most universities, Information System module is embedded into the curriculum for undergraduate logistics and supply chain students. This study applies perceived users towards technology based on the Information System Success Model and intention to use the technology based on the Technology Acceptance Model. Dimensions in these two models are used to study how Information System module influences undergraduate logistics and supply chain student desire to learn it. Data was gathered through questionnaires from 181 logistics and supply chain undergraduate students from a private university. Respondents provided answers by perceiving the user satisfaction, system quality and information quality towards intention to study Information System module. Results indicated that system quality and user satisfaction are positively associated with students’ intention to study. The standardized coefficients for system quality was higher (β = .28) compared to user satisfaction (β = .19) toward intention to use at .05 level. The study implies that improve system quality and user satisfaction in SPA 8i to attract students for learning the module.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".