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Record W6996224653

Resisting the Giants: Small Retail Entrepreneurs vs. Mega-Retailers - An Empirical Study

2008· article· en· W6996224653 on OpenAlexaffabout

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsEmpirical researchService (business)Value (mathematics)AllianceShadow (psychology)Sample (material)Retail tradeConsumer behaviourPerceptionCompetitive advantage
DOInot available

Abstract

fetched live from OpenAlex

Mega-retailers are widely criticized as causing devastation among smaller retailers, particularly in mid-sized markets in the United States. Others argue that small retailers can survive “in the shadow of the retail giants,” by offering levels of customer service that the mega-retailers can’t provide due to their very size. This paper reports the findings of an empirical study of the perceived impact of the recent opening of box-retailers, such as Costco and Home Depot on locally owned/operated small retailers in the northeastern Ontario city of Greater Sudbury, Canada from 1999 to 2003. The sample included 78 smaller store owners, on average in operation for the last 21 years. Aggregate results confirmed the hypotheses that small retailers suffered lower sales and clientele since the arrival of mega-retailers, and could clearly identify their and mega-retailers’ respective competitive advantages and disadvantages as compared to each other. Respondents had a significant perception of having an advantage over their mega-competitors in the areas of Store Cleanliness, Value for the Customer, Products’ Quality, and Store Layout. While a number of respondents suffered lower sales, about one-third of them (the Resisting Retailers) had average sales growth of over 21%. Differentiation and Niche Marketing were the main aspects of a successful competing strategy adopted by resisting retailers against mega-retailers. Some of the strategic moves adopted by resisting retailers amounted to a “Vacuum Strategy,” which includes the refusal to carry brands available at mega-stores, and the refusal to service such brands or to have anything to do with megaretailers, refusing any alliance with them and making it known to customers.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.233
Teacher spread0.186 · 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.

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 routes2
Has abstractyes

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