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Record W2134708037 · doi:10.1142/s146433320800307x

AN EXPLORATORY VIEW OF EMERGING RELATIONSHIP BETWEEN CORPORATE SOCIAL AND FINANCIAL PERFORMANCE IN CANADA

2008· article· en· W2134708037 on OpenAlexafffundabout
Peter H. May, Anshuman Khare

Bibliographic record

VenueJournal of Environmental Assessment Policy and Management · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsAthabasca University
FundersAthabasca University
KeywordsProfitability indexRanking (information retrieval)Corporate social responsibilityAccountingContext (archaeology)BusinessExploratory researchEmpirical researchMarketingFinancePublic relationsPolitical scienceStatisticsGeography

Abstract

fetched live from OpenAlex

This study uses primary research methods to determine whether a corporate social performance (CSP)–corporate financial performance (CFP) relationship exists within the Canadian context through examination of publicly-traded Canadian-based companies. The empirical findings demonstrate a positive CSR–CFP relationship, typically with CFP preceding CSP (although this does not preclude a relationship in the other direction) when using accounting-based measures of financial performance and as applied to the Top 1000 firms in Canada as ranked by profitability. This positive relationship was not confirmed when compared to the Top 500 companies ranked by profitability (i.e., with the "bottom 500" removed). In addition, the positive relationship did not occur with respect to market-based measures of financial performance (i.e., share performance). In addition, the study noted two possible issues that may have influenced the findings although the extent of such influences (if they exist) is not known. The first of these relates to a predilection amongst the CSR-rankings towards firms with high profitability. Almost all of the top-ranked CSR leaders are from the Top 500 firms in Canada as ranked by profitability and nearly three-quarters are from the Top 100. The second issue is the potential bias of the CSR-ranking methods themselves. This may have resulted in the inclusion of some firms with more questionable reputations in the rankings as well as the lack of continuity from year to year of CSR-leaders amongst the three rankings examined. This exploratory study sets the stage for more detailed analyses within a Canadian context in the future.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.995

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 studies0.0000.000
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 head0.052
GPT teacher head0.275
Teacher spread0.223 · 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

Citations14
Published2008
Admission routes3
Has abstractyes

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