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Record W2085401171 · doi:10.1287/mnsc.2013.1737

Can Margin Differences in Vertical Marketing Channels Lead to Contracts with Slotting Fees?

2013· article· en· W2085401171 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueManagement Science · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsOntario Tech University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDownstream (manufacturing)Margin (machine learning)Upstream (networking)Competition (biology)Argument (complex analysis)Industrial organizationBusinessMarginal costMicroeconomicsProduct (mathematics)Channel (broadcasting)Product differentiationEconomicsMarketingComputer scienceMathematicsCournot competition

Abstract

fetched live from OpenAlex

In this paper, we show that slotting fees can be part of an equilibrium solution if per-unit downstream margin is smaller than the per-unit upstream margin. In recent literature, a similar margin-based argument is made by Klein and Wright (2007), whereas intense downstream retail competition coupled with high upstream margin causes upstream manufacturers to offer slotting fees for promotional shelf space. In this paper, we generalize this argument and show that it is possible to have the margin-based argument without any downstream retail competition and competition between products within a retail chain. Interestingly we show that slotting fees will be larger if the products sold by a retailer are complements rather than substitutes. Using a model of a channel bargaining game, we also provide the necessary and sufficient conditions for the existence of slotting fees and show that for contracts with slotting fees under full vertical coordination, upstream marginal cost functions need to be increasing. Broadly, our findings provide new insights into the strategic role of downstream product assortment on equilibrium-marketing-channel contracts with slotting fees. This paper was accepted by J. Miguel Villas-Boas, marketing.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.261
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.205
Teacher spread0.182 · 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