Parametric and Non-Parametric Analyses in Supply Chain Management Introduction:

This study looks at how supply chain management (SCM) programs impact manufacturing companies in Malaysia and their supply chain performance.

Parametric Analysis:

1. Correlation Analysis:

   - Spearman’s correlations used to check links between SCM programs and performance metrics.

   - Found significant connections between SCM programs, implementation, and:

     - Supply chain flexibility

     - Supply chain integration

     - Profitability

Non-Parametric Analysis:

1. Friedman’s Rank Test:

   - Checks differences in SCM variables at different levels.

   - Analyzes how supply chain management variables affect performance improvements.

2. Mann-Whitney Test:

   - Compares SCM practices between high-profit and other companies.

   - Reveals which practices successful companies focus on.

3. Kruskal Wallis Test:

   - Examines SCM practices across various supply chain functions.

   - Identifies factors contributing to better responsiveness and integration.

Key Findings:

- Certain SCM practices are more emphasized by high-profit companies.

- These practices lead to improved:

  - Market flexibility

  - Integration across supply chain functions

Implications:

- Insights for practitioners and researchers in SCM.

- Highlights the importance of strategic SCM programs for enhancing supply chain performance.