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Record W3049488029 · doi:10.1111/glob.12298

Global value chains and supplier perceptions of corporate social responsibility: a case study of garment manufacturers in Myanmar

2020· article· en· W3049488029 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

VenueGlobal Networks · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsCarleton University
Fundersnot available
KeywordsCorporate social responsibilityBusinessValue (mathematics)PerceptionSupply chainSocial responsibilityCommerceBusiness administrationIndustrial organizationMarketingPublic relationsPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Abstract Suppliers are embedded simultaneously in the global value chains (GVCs) of their lead firms and in the countries in which they conduct their production activities. To explain supplier perceptions of corporate social responsibility (CSR) in GVCs, in this article, we develop a new typology by integrating buyer governance modes in GVCs and forms of supplier embeddedness (societal, network, and territorial). We advance literature on supplier perspectives on CSR in GVCs through an analysis of 19 garment manufacturers in Myanmar and their CSR perceptions, using in‐depth field‐work, interviews, and secondary data. The empirical findings indicate a variety of supplier perceptions of CSR, depending on the governance mode of the GVCs and the variegated combinations of societal, network, and territorial embeddedness. Understanding supplier CSR perceptions and their implementation in GVCs thus requires moving away from a sole focus on supplier responses to standardized codes of conduct and towards a greater consideration of different types of supplier embeddedness.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.277
Teacher spread0.248 · 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