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Does green innovation affect the financial performance of Multilatinas? The moderating role of ISO 14001 and R&D investment

2020· article· en· 233 citations· W3041095965 on OpenAlex· 10.1002/bse.2572

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

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.

Full frame distilled prediction

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.

Candidate categories
none
Consensus categories
none
Domain
Candidate signal: noneConsensus signal: none
Study design
Candidate signal: ObservationalConsensus signal: Observational
Genre
Candidate signal: EmpiricalConsensus signal: Empirical
Teacher disagreement score
0.428
Threshold uncertainty score
0.364
Validation status
machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

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.

Opus teacher head0.012
GPT teacher head0.190
Teacher spread
0.178 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Abstract The purpose of this study is to explore the relationship between green innovation (GI) and financial performance (FP) in emerging markets multinationals from Latin America (Multilatinas). Aligned with the natural resource‐based view and institutional theory, and using moderated and hierarchical linear regression analyses with panel data from 86 listed firms during the period 2013–2017, we find that implementing effective GIs is not associated with greater FP. The paper also analyses the moderating effect of Environmental Management Systems (ISO 14001) and research and development (R&D) investment on the relationship between GI and FP. We find that Multilatinas' implementation of ISO 14001 does not affect the way they adopt GI and thus does not enhance their levels of FP, but a positive moderating effect is generated as companies increase their level of R&D investment. The paper expands knowledge of the way GI affects Multilatinas' FP, and these findings have policy implications for managers, policy makers, government and other institutions.

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.

The record

Venue
Business Strategy and the Environment
Topic
Environmental Sustainability in Business
Field
Business, Management and Accounting
Canadian institutions
not available
Funders
Consejería de Salud y Familias, Junta de AndalucíaUniversidad de GranadaInnovation, Science and Economic Development Canada
Keywords
Affect (linguistics)Panel dataInvestment (military)BusinessMultilevel modelGovernment (linguistics)ModerationNatural resourceAccountingEconomicsPolitical science
Has abstract in OpenAlex
yes