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Record W3083425700 · doi:10.5430/rwe.v11n5p279

The Effect of Organizational Culture on Firm Performance With Social Responsibility as Mediating Variable

2020· article· en· W3083425700 on OpenAlexvenueno aff
Muliati Muliati, Mohammad Iqbal, Arung Gihna Mayapada

Bibliographic record

VenueResearch in World Economy · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessCorporate social responsibilityObligationOrganizational cultureSocial responsibilityAffect (linguistics)Sample (material)Path analysis (statistics)Organizational performanceMarketingBusiness administrationAccountingPublic relationsPolitical scienceLawSociology

Abstract

fetched live from OpenAlex

There is a lack of state-owned enterprises (SOEs) and regional-owned enterprises (ROEs) of Indonesia in reporting their social responsibility activities to the provincial governments. At the same time, corporate social responsibility is a mandatory obligation outlined in the Indonesia law. This study aims to analyze the mediating effect of social responsibility in relationship organizational culture and firm performance of SOEs and ROEs in Central Sulawesi Province, Indonesia. This study is survey research by distributing questionnaires to respondents who are SOEs and ROEs employees. The total sample is 245 respondents. The data are analyzed using path analysis. The result of this study shows that organizational culture does not affect firm performance partially. Another finding shows that SOEs and ROEs' organizational culture affects firm performance if the firm does and reports corporate social responsibility. These results mean that social responsibility plays a vital role in increasing firm performance besides focusing on improving organizational culture.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.037
GPT teacher head0.307
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2020
Admission routes1
Has abstractyes

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