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Record W4412494812 · doi:10.1016/j.frl.2025.108002

Does CSR toward employees promote corporate innovation?

2025· article· en· W4412494812 on OpenAlexafffund
Marcellin Makpotche

Bibliographic record

VenueFinance research letters · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsUniversité du Québec à Rimouski
FundersUniversité du Québec à Rimouski
KeywordsCorporate social responsibilityBusinessBusiness administrationAccountingPublic relationsPolitical science

Abstract

fetched live from OpenAlex

• CSR toward employees positively affects the quantity, the scientific quality, and the economic value of patents. • The positive impact of CSR toward employees on innovation is more substantial in high R&D intensity and growing firms. • The impact of CSR toward employees on innovation is more substantial in the presence of stronger corporate governance. • Stronger governance is required for CSR to limit the moral hazard problem that reduces firms' innovation. This study examined the impact of CSR toward employees (WS) on corporate innovation, using a sample of U.S. firms from 2002 to 2019. It provides the first evidence that better WS is beneficial for firms, resulting in a significant increase in both the quantity and the quality of patents. The positive impact of WS on innovation is more substantial in high R&D intensity and growing firms, while it is relatively weaker for mature firms. The study also explores how WS affects innovation output under various conditions and highlights the moderating role of corporate governance mechanisms, specifically the corporate governance score, board gender diversity, and auditor independence. Therefore, firms should enhance both their internal governance quality and WS to innovate.

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)0.004
metaresearch head score (Gemma)0.004
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 score0.438
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.093
GPT teacher head0.349
Teacher spread0.256 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes2
Has abstractyes

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