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Record W3011885609 · doi:10.1080/13675567.2020.1741524

On joint effects of return policy coordination and retail competition

2020· article· en· W3011885609 on OpenAlexaff
Joong Y. Son, Rickard Enstroem

Bibliographic record

VenueInternational Journal of Logistics Research and Applications · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSupply Chain and Inventory Management
Canadian institutionsMacEwan University
Fundersnot available
KeywordsProfitability indexCompetition (biology)Industrial organizationPoolingIncentiveBusinessSupply chainVendorMicroeconomicsEconomicsMarketingFinanceComputer science

Abstract

fetched live from OpenAlex

This paper studies the effectiveness of a return policy as an incentive-aligned coordination mechanism in a decentralised supply chain for short life-cycle products. System performance with regards to profitability and product availability is assessed with a coordinated return policy between the vendor and two competing retailers. Building on the optimal return policy coordination model for short life-cycle products, this paper evaluates individual and joint effects of competition and coordination under the four different settings of competition with and without coordination, and no competition with and without coordination. Results indicate that joint effects are largely contingent on demand structures in the supply chain, whereas individually, return policy coordination displays greater effectiveness in improving fill rates at local retailers by maintaining high stocking levels and competition commands significant impact in improving the system profitability and service level by creating inventory pooling effects between competing retailers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.776
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.094
GPT teacher head0.338
Teacher spread0.244 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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