CSR and Sustainability Survey Data from Bangladesh's Garment Sector

Bangladesh's Ready-Made Garment sector is the focus of this dataset, which appears to contain survey data for a structural equation modeling study. The dataset, made available by Md. Mamun Mia, explores the relationship between Corporate Social Responsibility practices and Corporate Sustainability outcomes. It was last updated on June 2, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Testing the mediating pathways between CSR and sustainability based on the described operational linkages.
• Applying Stakeholder Theory or Resource-Based View frameworks to survey data from an emerging economy context.
• Modeling the Triple Bottom Line (economic, social, environmental) performance in the garment industry.
• Conducting covariance-based structural equation modeling (SEM) analysis on business practice data.

Strengths

• Dataset is small (11.0 KB), facilitating quick download and inspection.
• Clear theoretical grounding in Stakeholder Theory, RBV, and the Triple Bottom Line framework is described.
• Focus on a specific, high-impact industrial sector (Bangladesh RMG) provides contextual relevance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset's small size suggests it may contain only model parameters or a limited sample, not raw survey responses.

Provenance

Source

figshare

Collection Method

Likely contains survey or secondary data analyzed using covariance-based Structural Equation Modeling (SEM).

Freshness

Last updated 2026-06-02 16:19:22; freshness should be verified.

Geography

Bangladesh, specifically the Ready-Made Garment (RMG) sector.