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Record W7071765363

Sustainability Regulation and Multinational Enterprise Behaviour

2024· dissertation· en· W7071765363 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQSpace (Queen's University Library) · 2024
Typedissertation
Languageen
FieldChemistry
TopicCoconut Research and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilitySustainabilityMultinational corporationSocial responsibilityLegitimacyDue diligenceSustainability organizationsCorporate governanceSocial sustainability
DOInot available

Abstract

fetched live from OpenAlex

Mandated corporate social responsibility (CSR) is an increasingly important fixture in our institutional environment, as governments re-assert their role in establishing and policing transnational responsibility boundaries, defined as the border where firms must accept responsibility for their and their suppliers’ social and environmental actions. Sustainability policies such as the European Union’s recently passed Corporate Sustainability Due Diligence Directive and Canada’s Modern Slavery Act put multinational enterprises (MNE) in their crosshairs, as both pieces of legislation demand MNEs accept responsibility for the social and environmental actions of suppliers with whom they only have indirect contact. In three papers in this dissertation, I explore this conundrum, showing why responsibility boundaries emerge as they do, as well as how MNEs can respond to these new regulatory imperatives, and thereby contribute to addressing grand challenges (e.g. climate change, modern slavery). \nChapter two takes the regulatory environment as its core focus and I build on rhetoric and logics scholarship to explain the dynamics around responsibility boundary construction. I show how the contours of responsibility boundaries emerge from rhetorical contests in which a regulatory agency’s need for ongoing legitimacy is paramount. Chapter three turns to how MNEs respond once this new regulatory environment is established, and I build a conceptual framework based on new internalization theory that reveals how MNEs can better “cascade compliance” across their global value chains (GVCs). In the fourth chapter, which draws on convention theory, I discuss one common strategy MNEs have used in the past to improve social and environmental outcomes: sustainability certifications. To reveal how sustainability certifications can remain legitimate even while diffusing norms across different institutional environments and national contexts, I generate a model based on both interviews and document analysis that shows how legitimate certifications successfully mitigate many differently perceived sustainability risks. \nMy work has important implications for both theory and practice. In the broadest terms, I add to our understanding of new internalization theory, rhetorical legitimation, and CSR. Practically, across these chapters, I help MNEs see what capabilities to build to respond to our new regulatory environment. I also show how policymakers and MNEs can maintain their legitimacy with diverse stakeholders when communicating their ideas about sustainability.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.436
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.225
Teacher spread0.221 · 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