An empirical analysis of Cambodian behavior intention towards mobile payment
Bibliographic record
Abstract
Mobile payment is becoming an evitable trend in the globe and is well expanding rapidly into emerging countries. Many research models are developed and confirmed that behavior intention is an important fact which decides the level of using mobile payment among users. The existing research models have made empirical evidences confirming behavior intention depended on performance and effort expectancy. This research expands previous empirical evidence by involving perceived transaction speed as an important explanatory variable to both performance expectancy and effort expectancy and also captures how behavior intention is influenced by performance expectancy and effort expectancy among Cambodian users. A total of 200 questionnaires were collected, analyzed and summarized for this study. Result reveals that performance expectancy and effort expectancy affect positively and significantly on behavior intention. Perceived transaction speed has a positive and significant relationship with effort expectancy but Perceived transaction does not have any positive and significant relationship with performance expectancy. Result from this study also concludes the role of perceived transaction speed which is affecting intention to use mobile payment among users. However, there are some limitations to be addressed for the future researches; this research may include larger samples to find out the clear effect on behavior intention of the end-users.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".