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Record W3122003917 · doi:10.1111/1911-3846.12389

Stakeholder Orientations and Cost Management

2017· article· en· W3122003917 on OpenAlexvenueno aff
Xiaotao Liu, Xiaoxia Liu, Colin D. Reid

Bibliographic record

VenueContemporary Accounting Research · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Finance and Governance
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsAgency costBusinessCorporate governanceContext (archaeology)StakeholderIndustrial organizationOrientation (vector space)Market orientationAgency (philosophy)MicroeconomicsMarketingEconomicsFinanceManagement

Abstract

fetched live from OpenAlex

ABSTRACT We examine the effect of stakeholder orientation on firms' cost management as proxied by selling, general, and administrative (SG&A) cost stickiness. Using a sample of 19,783 firm‐years, we find that customer and employee orientation are associated with greater SG&A cost stickiness. Furthermore, the effect of customer orientation on SG&A cost stickiness is more prominent in firms where SG&A costs create high future value, growth firms, and firms with strong corporate governance. In contrast, the effect of employee orientation on SG&A cost stickiness is stronger in firms where SG&A costs create low future value, mature firms, and firms with weak corporate governance. Overall, the association between customer orientation and SG&A cost stickiness is consistent with efficiency considerations (i.e., adjustment costs). In contrast, the association between employee orientation and SG&A cost stickiness is consistent with agency motives such as empire building or “a preference for a quiet life.” In sum, we provide evidence that corporate orientation toward different stakeholders can have different efficiency implications in the context of SG&A resource adjustments and cost management.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.004
Open science0.0010.001
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 head0.200
GPT teacher head0.349
Teacher spread0.149 · 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.

Study designObservational
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

Citations93
Published2017
Admission routes1
Has abstractyes

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