The Marketing Position and Strategy of IKEA in China under New Retail Background
Bibliographic record
Abstract
With the development of economic globalization and technological informatization, the home furnishing industry is facing the transformation from traditional retail to a new retail model. Based on literature analysis and case studies, this paper discusses the concept of new retail and its difference from the traditional retail model and analyzes the challenges faced by IKEA in the Chinese market, such as slowing sales and traffic growth, late e-commerce layout, and fierce competition. Using the STP model and the 4P model, we analyze IKEA's marketing strategy in the Chinese market and suggest improvements to the product, promotion, and publicity strategies. It will promote IKEA's development and innovation, and bring thoughts and strategic value to the Chinese home furnishing industry in the new retail era. Through the analysis of IKEA's marketing strategy, it can be determined that in the new era, home marketing should start from product diversification and networking to win consumers with more appropriate prices and convenient channels.
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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 | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| 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".