Impact of Value Co-Creation on International Customer Satisfaction in the Airsoft Industry: Does Country of Origin Matter?
Bibliographic record
Abstract
The paper’s objective is to investigate the impact of value proposition co-creation on international customer satisfaction in the airsoft industry. This empirical paper aims at answering a question “Which factors influence satisfaction of the international customers involved in the process of value co-creation in the airsoft industry” and sets a hypothesis that value co-creators’ country of origin has a positive impact on customers’ satisfaction. A case study approach of an entrepreneurial company (GATE) was supplemented with data collected via a survey (n = 176), where consumers’ perception of the firm’s value proposition and its influence on their satisfaction were investigated. The study contributes to the value creation theory by identifying the main factors influencing customer satisfaction in the airsoft industry and verifying whether the co-creators’ origin affects the factors’ ratings. The results indicate that the most crucial factors influencing international customer satisfaction in this industry are quality level and product functionality and that the country of origin of customers has no significant impact on international customer satisfaction.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".