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Record W4413957943 · doi:10.1177/10591478251378836

Manufacturer Encroachment in the Presence of Production Economies of Scale

2025· article· en· W4413957943 on OpenAlexafffund
Hubert Pun

Bibliographic record

VenueProduction and Operations Management · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOutsourcing and Supply Chain Management
Canadian institutionsWestern UniversityDalhousie University
FundersSocial Sciences and Humanities Research Council of CanadaNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsProduction (economics)Economies of scaleBusinessScale (ratio)Industrial organizationCommerceEconomicsOperations managementMarketingMicroeconomicsGeography

Abstract

fetched live from OpenAlex

It is well established that a manufacturer generally benefits from encroachment with a profitable direct channel and may also benefit from using encroachment as a threat (i.e., without sales in the direct channel); the retailer may also benefit from both encroachment strategies. Our study provides new insights into the manufacturer encroachment literature by considering the upstream manufacturer's production economies of scale. Contrary to conventional wisdom, we show that an increasing level of economies of scale may reduce the manufacturer's profit if the manufacturer encroaches. Furthermore, we find that under strong economies of scale, refraining from encroachment may be the optimal strategy, even if encroachment could increase the manufacturer's wholesale profit. This finding suggests that a manufacturer may choose not to encroach solely due to profit losses in direct selling. Interestingly, we also find that the manufacturer can benefit from encroachment by maintaining an unprofitable direct channel with sales, provided that the level of economies of scale is below a threshold. Moreover, our findings reveal that the retailer can benefit from manufacturer encroachment only when the level of economies of scale remains below this threshold, and that an increasing level of economies of scale reduces the likelihood that the retailer can benefit.

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)0.001
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 score0.442
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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

Citations4
Published2025
Admission routes2
Has abstractyes

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