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Record W2166058840 · doi:10.5840/beq200919320

Introduction to the Special Issue: Globalization as a Challenge for Business Responsibilities

2009· article· en· W2166058840 on OpenAlexaff
Andreas Georg Scherer, Guido Palazzo, Dirk Matten

Bibliographic record

VenueBusiness Ethics Quarterly · 2009
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsYork University
Fundersnot available
KeywordsArgument (complex analysis)GlobalizationCorporate social responsibilityPoliticsCorporate governanceAmbivalencePolitical scienceState (computer science)Positive economicsPolitical economyPublic relationsSociologyEconomic systemSocial scienceLaw and economicsEconomicsManagementLawSocial psychology

Abstract

fetched live from OpenAlex

ABSTRACT This article assesses some of the implications of globalization for the scholarly debate on business ethics, CSR and related concepts. The argument is based, among other things, on the declining capacity of nation state institutions to regulate socially desirable corporate behavior as well as the growing corporate exposure to heterogeneous social, cultural and political values in societies globally. It is argued that these changes are shifting the corporate role towards a sphere of societal governance hitherto dominated by traditional political actors. This leads to a discussion of the ambivalent results of such a process for a responsible corporate role in a globalized world. While assessing the current reception these changes have received in the management literature, the contributions of the four articles in this Special Issue are framed and evaluated. The argument closes by highlighting avenues of future research on this new challenge.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0030.004
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0130.003

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 head0.158
GPT teacher head0.423
Teacher spread0.264 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations26
Published2009
Admission routes1
Has abstractyes

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