Better Solutions Based on the Analysis of Keurig’s Marketing Strategy and Its Marketing Approach
Bibliographic record
Abstract
Keurig Green Mountain Inc., the former name Green Mountain Coffee Roasters, is well-known for leading in making coffee makers and also offers a large variety of coffees and fast brews. In 2006, the company finished the acquisition of Keurig Inc, buying the remaining 65 percent of its interests for $104.3 million, and eventually changed its name to Keurig Green Mountain Inc. in 2014. In 2015, Bart Becht, Chairman at JAB Holding Company, announced the acquisition of Keurig Green Mountain Inc to obtain the U.S. market. In addition, the company acquired Dr Pepper Snapple Group to capture more market share in the North America Market. Using a case study approach, this study explores the current state of marketing in the coffee retail industry using Keurig as a backdrop, identifies problems with its marketing, and makes guiding recommendations. On the one hand, this study can improve the literature on marketing in the retail industry. On the other hand, this study serves as a guide for other companies marketing strategies.
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 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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| 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".