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Record W86910587

How do retailers rate the United States and Canada as furniture sources compared to China

2008· article· en· W86910587 on OpenAlexaboutno aff
Urs Buehlmann, Matthew Bumgardner, Mary Frye, Torsten Lihra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsChinaBusinessFurniture industrySupply chainMarketingMarket shareStrengths and weaknessesPerspective (graphical)Dimension (graph theory)CommerceGeography
DOInot available

Abstract

fetched live from OpenAlex

During the past decade, the U.S. wood household furniture industry has lost a significant share of its domestic market to imported furniture. This market share loss has been widely discussed and analyzed, largely from a manufacturing perspective. A relatively unexplored dimension of household furniture importing is the perspective of the retailer. Retailers play a critical role in the supply chain and interact directly with consumers. In today's marketplace, they often have experience with the relative strengths and weaknesses of suppliers from several countries. The present study sought to determine, from the U.S. retail perspective, those areas in which North American (U.S. and Canada) furniture manufacturers are perceived to do well compared to their counterparts in China, and conversely, in what areas they could improve. We investigated 16 attributes deemed to be relevant to furniture retailers by surveying the membership of a national trade association. Possible elements of competitive strategies for manufacturers in each source country are developed based on the findings.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.013
GPT teacher head0.180
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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