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Record W3095708859 · doi:10.1017/jmo.2020.27

Firm strategy and CSR: the moderating role of performance management systems

2020· article· en· W3095708859 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

VenueJournal of Management & Organization · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsBentley (Canada)
Fundersnot available
KeywordsCorporate social responsibilityBusinessSample (material)Empirical researchStrategic managementSocial responsibilityMarketingPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Abstract Little empirical research has explored whether or not firm strategy is linked with corporate social responsibility (CSR) and to that end we explore the impact of low-cost and differentiation strategies on CSR. Using a sample of 229 Italian firms, a low-cost strategy is negatively associated with ethical and discretionary CSR, while a differentiation strategy is positively associated with both. Given its focus on nonfinancial outcomes and stakeholders, we test if a performance management system (PM system) acts as a moderating influence. We find that a PM system positively moderates the negative association between a low-cost strategy and ethical and discretionary CSR, while also positively moderating these relationships with respect to a differentiation strategy. These findings advance the literature on strategy and CSR, while demonstrating the contingent effect of PM systems. The findings are discussed along with limitations and directions for future research.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.416

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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