AACSB-ACCREDITATION BENEFITS AS PREDICTOR OF FACULTY ATTITUDE TOWARD THE ACCREDITATION PROCESS: AN EXPLORATORY STUDY
Bibliographic record
Abstract
The purpose of the study is to investigate the attitude of faculty members of the College of Business Administration at Kuwait University (CBA-KU) toward the AACSB accreditation system and the way they perceive the benefits of accreditation. The level of association and the causal effect of perceived benefits on shaping faculty attitude are also addressed. A questionnaire was administered to all faculty members at CBA-KU resulting in a final response of 43 observations. While the one-sample t-test and Pearson correlation were used to investigate faculty attitude and perceived benefits and their level of association, Regression analysis was utilized in testing the effect of perceived benefits on faculty attitudes. Findings revealed a relatively high positive attitude toward AACSB accreditation and a significant above-average level of agreement with all addressed benefit statements. Significant positive correlation between benefits and attitudes and a significant effect of academic benefits on faculty attitude were also confirmed. The study is the first AACSB accreditation survey in Kuwait which enriches the understanding of the value of earning the accreditation and highlights some factors that enhance faculty positive attitude toward AACSB accrediting.
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.
How this classification was reachedexpand
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 | 0.002 | 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 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".