Service Bundling as Pricing Strategy for Mobile Services: Scandinavian Perspective
Bibliographic record
Abstract
At the moment one of the most potential and interesting pricing method for mobile services business is a bundle pricing strategy. According to prior studies the service bundling is preferred especially by customers of mobile and electronic services. This study is exploratory and it has provided an empirical market specific evidence and support for mobile service providers to apply the service bundling strategy in Finnish and Scandinavian markets. According to our findings, customers[1] in Finland preferred to acquire mobile services in bundles rather than separately. It was also discovered that customers who were most experienced mobile Internet users or Internet users through mobile phone as modem, were the most anxious to acquire mobile services in bundles. While customers with less experience from these service channels were more often better off in acquiring mobile services separately; even though it wouldn’t be economically justified. It was also found that a mobile service provider should provide service bundles of three to five services (depending on the customer segment).
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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 | 0.000 | 0.000 |
| 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 | 0.001 | 0.002 |
| 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 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".