The Role of M-Commerce Readiness in Emerging and Developed Markets
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
Although mobile commerce (m-commerce) growth provides ample potential for retailers around the globe, several studies have shown that it has failed to attract potential customers across different countries. This study advances the literature by comparing m-commerce customers’ behavioral intentions and actual behaviors using data from 812 m-commerce users across four countries (Australia, India, the United States, and Pakistan). This context offers a unique opportunity for understanding how m-commerce consumers’ behaviors differ across disparate national markets. The authors propose a conceptual framework linking m-commerce users’ behaviors (intentions and actual usages) to key drivers (ubiquity and habit), and they develop hypotheses about the moderating roles of m-commerce readiness and habit in these linkages. The results reveal important asymmetries between m-commerce readiness stage and between habit: users at an early m-commerce readiness stage assign more importance to ubiquity relative to habit in influencing purchase intentions, whereas the opposite is true for the users who are at an advanced stage. Habit moderates the influence of ubiquity such that its importance in determining intention decreases as the behavior in question takes a more habitual nature. The authors outline how m-retailers operating across developed and developing countries should adapt their marketing strategies to customers at different m-commerce readiness stages.
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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 | 0.009 | 0.012 |
| 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 | 0.000 | 0.000 |
| Open science | 0.001 | 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 it