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Record W2781758163 · doi:10.1177/104225870002500110

Research Note: Trade Name Franchise Membership as a Human Resource Management Strategy: Does Buying Group Training Deliver ‘True Value’ for Small Retailers?

2000· article· en· W2781758163 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEntrepreneurship Theory and Practice · 2000
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFranchising Strategies and Performance
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFranchiseBusinessValue (mathematics)MarketingWorkforceCompetitive advantageHuman resource managementResource (disambiguation)Human resourcesTraining (meteorology)EconomicsManagementComputer science

Abstract

fetched live from OpenAlex

Human resource management (HRM) is an important source of competitive advantage. However, recent reports document that HRM, and in particular employee training, is less likely to occur in small firms. One possible remedy of special interest to small retailers is trade name franchise membership. Trade name franchises, or buying groups, claim to offer small firms advantages not otherwise realizable, including bulk buying discounts, brand name recognition and workforce training. We report results from our study of over 300 small and medium-sized hardware stores, which tested the effects of employee training and trade name franchise membership, on small firm performance. Trade name franchisees achieve higher mean performance; however, the contribution to performance made by franchisees’ training does not appear to be significantly better than that of independent stores.

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.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.064
GPT teacher head0.323
Teacher spread0.259 · 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