The effect of pricing bundling capability on marketing performance: The mediating role of price value offerings
Bibliographic record
Abstract
This research intends to examine the effect of pricing bundling capability on price value offerings and marketing performance. It also tests the role of price value offerings as a mediating variable. Price building capacity develops from pricing capability to fill the research gap of its effect on marketing performance. Some studies prove that pricing capability affects performance. On the other hand, some found that it does not and recommend further research to improve this capability in line with the price strategy implemented by the company. Previous research on price strategy focuses on the consumers’ perspective. This study concentrates on the producers’ viewpoint. We collected data from 183 SME’s restaurants’ managers in Purwokerto using structured questionnaires. Structural Equation Model is used to obtain the aim of the research and analyze the measurement and structural model. The result suggests that pricing bundling capability positively affects pricing capacity on marketing performance and price value offerings. It also shows that price value offerings positively affect the marketing performance and that price value offerings mediate the effect of pricing capability on marketing performance. We suggest the SME’s restaurants’ managers pay attention to their pricing bundling capability to increase the price value offerings and marketing performance.
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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 | 0.016 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 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".