Effect of Mobile Number Portability Adoption on Consumer Switching Intention
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
The paper proposes a model that helps to explain consumer behaviour towards Mobile Number Portability (MNP) policy and the influence of MNP adoption factors on consumer switching intention process in the telecommunication industry. The proposed model was tested using data from a cross-section of 736 subscribers of six global companies in Ghana’s mobile telecommunication industry, where MNP has been introduced. The findings indicate that MNP adoption can positively influence consumer switching. The effects of MNP adoption on switching intention is realised through three main channels; directly through MNP-induced self-efficacy (or switching efficacy) and indirectly through perceived switching costs and attitude towards switching. The proposed model helps explain about 50% of switching intention. The paper discusses implications of the findings to marketing theory and practice and provides directions for future research. The paper advances our knowledge in the impact of government/industrial policy on consumer behaviour in marketing.
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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 | 0.003 | 0.002 |
| 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 | 0.000 | 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