Factors Influencing Continuous Intention to Use of Event Management Electronic Portals in 4 and 5 Star Hotels
Bibliographic record
Abstract
The purpose of this study is to examine the associations among perceived relative advantages, compatibility, perceived ease of use, perceived usefulness, perceived enjoyment, and continuous intention to use event management electronic portals in Aqaba 4 and 5 Star hotels. A survey instrument was used to examine the relationships in the proposed model. The collected primary data (n=200) from employees who are familiar with hotels’ event management electronic portals located in Aqaba city is conducted to test the relationship between exogenous and endogenous construct expressed in the proposed structural model. By employing SEM (Structural Equation Modeling) analysis, the findings revealed that while both variables perceived relative advantages and compatibility directly, positively, and significantly impacted perceived usefulness; both variables did not impact perceived enjoyment. Also, perceived ease of use has significant impacts on perceived usefulness and perceived enjoyment. In addition, both of perceived usefulness and perceived enjoyment found to impact continuous intention to use.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".