Strategic imperatives of mobile commerce in developing countries: the influence of consumer innovativeness, ubiquity, perceived value, risk, and cost on usage
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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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 | 0.005 |
| 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".