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Record W2919042643 · doi:10.4337/9780857938602.00032

Franchising research in marketing: suggestions for future research

2019· book-chapter· en· W2919042643 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

VenueEdward Elgar Publishing eBooks · 2019
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicFranchising Strategies and Performance
Canadian institutionsWestern University
Fundersnot available
KeywordsCorporate governanceMarketingMarketing researchWork (physics)BusinessEconomicsManagementEngineering

Abstract

fetched live from OpenAlex

In their thoughtful review of franchising research conducted over the prior decade, Dant, Grünhagen, and Windsperger in 2011 sounded the alarm regarding the marketing discipline’s ceding of the franchising phenomenon to scholars in management and economics. The authors use their seminal work as a point of departure, reviewing the trends emerging from an examination of empirical research on franchising published in marketing journals over the ten-year period spanning 2005 to 2014. They note with some satisfaction an increasing interest in issues unique to franchising, including ownership structure, franchisee/franchisor selection, governance, and the performance of both franchisors and their franchisees. The review also describes recent methodological advances, and assesses the extent to which franchising research in marketing has been influential (as reflected in citations) to other areas of study. For scholars with an interest in franchising, the chapter provides information on emerging data sources and suggests possible directions for future research.

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)0.015
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.634
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.000
Science and technology studies0.0010.000
Scholarly communication0.0080.003
Open science0.0020.001
Research integrity0.0010.005
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 head0.104
GPT teacher head0.325
Teacher spread0.220 · 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