Brief Analysis of Sports Marketing Strategy Adopted by Coca Cola Company
Bibliographic record
Abstract
The process of sports marketing is to reincorporate resources of an enterprise and integrate the sports culture embodied in sports activities into products of the enterprise to realize adequate integration of the three aspects of sports culture, brand culture and corporate culture. This is aimed to arouse resonance between enterprise and consumers, form long-term special focus and interest among the consumers and facilitate the competitive priority of the enterprise.On the international stage, quite a large number of brand enterprises come to be known well by people and become a brand of fashion and health in their eyes. Among the numerous brands, the author believes the sports marketing strategy of Coca Cola Company started earlier and its marketing method and mode is relatively peculiar, which deserves our learning and reference. The remainder of the paper is organized as follows. In the first section, it introduces the current situation of sports marketing. Then, in the second section, the importance of sports marketing on product publicity and the role of sports marketing are expounded and several modes of sports marketing are illustrated. In the following, the author makes selective analysis of the sports marketing strategy of Coca Cola. Finally, the author proposes his viewpoints and makes a conclusion.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".