Profiles of 50 major furniture retailers worldwide
Bibliographic record
Abstract
In 2008, for the first time, CSIL put together the profiles of the world's largest furniture retailers in a CSIL report called "Profiles of 50 major furniture retailers worldwide ". CSIL estimates that currently about 19% of worldwide furniture sales are made by "Major Furniture Retailers" which are covered in the new CSIL report. In this first edition we tried to outline the new challenges of the distribution market at a global level. The report provides rankings by geographical region (North America, Europe, Asia), detailed company profiles, financial data and full contact details on about 120 pages. The Major Retailers listed in our report have headquarters in 13 countries of which 9 are in Europe (Austria, Belgium, Denmark, France, Germany, Netherlands, Spain, Sweden, UK), 2 in North America (Canada and US) and 2 in Asia (China and Japan). To draw a picture as precise as possible we considered Furniture Retail Chains (like Ikea, Rooms To Go), Department Stores (like JC Penneys, Macy's), Hypermarket Chains (like Wal Mart, Bailing Group), E-commerce, Mail Order specialists (like Otto Group) and DIY Stores (like B&Q). The report does not include furniture retailer specialised exclusively in office furniture. The total number of profiles included in the report is 54 (25 in Europe, 23 in North America and 6 in Asia). Information in the profiles includes: (i) data provided by the retailers to CSIL during interviews, during the preparation of other CSIL reports and in the course of current research work; (ii) data in company reports, particularly for companies listed on stock exchanges; (iii) information from catalogues, public relations material and websites; (iiii) sector magazines.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.087 | 0.082 |
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".