Relationships Among Attitude, Corporate Image, and Purchase Behavior in Korean Running Event
Bibliographic record
Abstract
The purpose of this study was to verify the relationships among attitude, corporation image, and purchase behavior in Korean running event. Through this study, running event of Korea may attempt to develop sports event and sports industry infrastructure. To achieve the goal of this study, 432 surveys were collected form male and female adults who planned to participate in Korean running event in October 2016 to February 2017 were delineated as the study population. A convenient, non-random sampling method was used to select participants. After examining the correlation among attitude, corporation image, and purchase behavior, the relationships among the three variables was assessed through multiple linear regression analysis. The results of this were as follows. First, regarding sub-factors of event attitude and brand attitude had positive effects on corporate image. Second, the sub-factors of event attitude and brand attitude had positive effects on purchase behavior. Third, the sub-factor of corporate social responsibility image had positive effects on purchase behavior, and good image of corporation was statistically significant.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".