Model of dimensions and variables of corporate social responsibility updated through structural equations
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a validated corporate social responsibility (CSR) model with 15 factors and 66 variables. The model provides a sophisticated tool for companies to accurately measure and manage their societal impact.
Area Of Science
- Business and Management
- Organizational Behavior
- Sustainability Studies
Background
- Corporate Social Responsibility (CSR) is evolving from compliance to a holistic approach.
- Increased data availability necessitates sophisticated CSR management tools.
- Existing CSR models require updated metrics for accurate societal impact assessment.
Purpose Of The Study
- To identify variables and dimensions for a representative CSR management model.
- To validate a generic CSR model using factorial and structural modeling.
- To develop a tool for more accurate and up-to-date CSR metrics.
Main Methods
- Survey of 667 middle and senior managers in Guayas, Ecuador.
- Exploratory Factor Analysis (EFA) to form factors from items.
- Structural Equation Modeling (SEM) for model validation using goodness-of-fit indices.
Main Results
- A system of correlated factors with high commonality and significant factorial loads was identified.
- Variables not meeting criteria were excluded, refining the model.
- A final model comprising 15 factors and 66 variables was ratified.
Conclusions
- The validated CSR model offers a robust framework for organizational management.
- The model provides accurate and current dimensions and metrics for CSR.
- This research contributes a sophisticated tool for understanding and reporting corporate societal impact.
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