Strategic imperatives of mobile commerce in developing countries: the influence of consumer innovativeness, ubiquity, perceived value, risk, and cost on usage
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
Despite the remarkable growth and promising future of mobile commerce, research has paid little attention so far to the factors that determine its perceived value across developing countries. This study advances marketing literature, focusing on technology adoption and acceptance, by providing a framework that incorporates a mode-specific enabler – ubiquity (time convenience and accessibility) – and two deterrents – perceived risk (financial risk and performance risk) and perceived cost – as antecedents of perceived value across developing countries. The moderating role of consumer innovativeness is also investigated, due to the pervasiveness of consumer innovativeness in adopting and using new technologies. The results reveal that ubiquity has a positive impact on value, while risk and cost have a negative influence. The authors also find that innovativeness moderates the relationships between identified antecedents and value, apart from the relationship between cost and value. The results further show that value positively affects actual usage, and is strengthened by consumer innovativeness.
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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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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