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Board Interlocks, Absorptive Capacity and Environmental Performance

2021· article· en· W3183380324 on OpenAlexaff
Jing Lu, Fereshteh Mahmoudian, Dongning Yu, Jamal A. Nazari, Irene M. Herremans

Bibliographic record

VenueAcademy of Management Proceedings · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSustainable Supply Chain Management
Canadian institutionsToronto Metropolitan UniversityUniversity of CalgarySimon Fraser UniversityUniversity of Guelph
Fundersnot available
KeywordsInterlockAbsorptive capacityBusinessExploitResource (disambiguation)Industrial organizationEnvironmental economicsComputer scienceEngineeringComputer securityMechanical engineeringEconomics

Abstract

fetched live from OpenAlex

Coupling resource dependence theory with absorptive capacity concepts, we analyze the role absorptive capacity plays as a potential facilitator between board interlocks and environmental performance. Board interlocks act as avenues for knowledge acquisition and assimilation reaching outside the organization for resources to improve environmental performance. However, an organization also needs the ability to transform and exploit knowledge to implement activities that lead to better environmental performance. Our results show that firms with a greater number of board interlocks, interlocks in the same and different industries, and interlocks with top performers achieve better environmental performance. Furthermore, we find that absorptive capacity, as measured by R&D intensity, moderates the relationship between board interlocks and environmental performance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.001
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 head0.012
GPT teacher head0.193
Teacher spread0.181 · 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 designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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