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Record W2036091048 · doi:10.1108/09590550810873929

RFID and buyer‐seller relationships in the retail supply chain

2008· article· en· W2036091048 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

VenueInternational Journal of Retail & Distribution Management · 2008
Typearticle
Languageen
FieldEngineering
TopicRFID technology advancements
Canadian institutionsPolytechnique MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsSupply chainOriginalityGeneralizability theoryBusinessMarketingSupply chain managementValue (mathematics)Exploratory researchRadio-frequency identificationIdentification (biology)Knowledge managementComputer scienceQualitative research

Abstract

fetched live from OpenAlex

Purpose The aim of this paper is to understand why a collaborative innovation, such as radio‐frequency identification (RFID) technology, engenders seemingly opposite buyer‐seller relationship reactions among members of a supply chain. Design/methodology/approach The researchers carried out a three year exploratory multiple case study using the grounded theory approach through participant‐observation and collaborative action research. The research project culminated in a fully functional RFID proof of concept solution which involved multiple layers of a retail supply chain. The researchers chose the retail industry for the study because it provided the ideal conditions to answer the research question. Findings The results highlight the role of supplier‐buyer relationships as both crucial antecedents that shape RFID infrastructure and the consequence of RFID implementation. Specifically, the impact on and of eight key dimensions was considered, namely communication and information sharing, cooperation, trust, commitment, relationship value, power imbalance and interdependence, adaptation, and conflict. The paper also positions open‐loop RFID projects as supply chain inter‐organizational systems and presents a model to analyze such initiatives. Research limitations/implications The choice of methodology has provided the insight necessary to answer the research question. Other researchers are encouraged to validate these findings through replication with other case studies or through quantitative data to reach analytical and statistical generalizability. The authors also encourage future research on this topic in other industries. Originality/value As more supply chains move forward with collaborative RFID initiatives, it is important that these companies be aware of the strategic role of supplier‐buyer relationships as both crucial antecedents that shape RFID infrastructure and a consequence of RFID implementation.

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 score0.201
Threshold uncertainty score0.392

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 head0.021
GPT teacher head0.230
Teacher spread0.209 · 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