APPLICATION OF LATENT CLASS ANALYSIS TOWARD SUPPLY CHAIN RESILIENCE OF SELECTED MANUFACTURING COMPANIES IN REGION 4A, PHILIPPINES

Author:
Mark Paul O. Altarejos

Doi: 10.26480/jtin.02.2025.61.68

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Supply chain disruptions cause cascading negative impacts, extending beyond immediate effects to destabilize entire networks and result in significant financial losses. Despite growing research on supply chain resilience (SCR), a classification system to differentiate firms’ resilience levels remains underdeveloped, particularly within the Philippine manufacturing sector. This research examines the idea of supply chain resilience by empirically identifying specific capabilities that contribute to it. Specifically, this study proposes a model of Supply Chain Resilience stages. Supply Chain Resilience is the system’s ability to maintain its original capabilities in the face of disruptions. To test the correlation between respondent demographic profiles and levels of supply chain resilience, a survey of 10 Region 4A manufacturing firms was conducted. The study utilized Pearson correlation analysis, which revealed a significant positive correlation. The study proposed that the firms can be categorized into three categories, based on the level of supply chain resilience capabilities of the firms. These categories are basic, cautious, and progressive. Based on the findings, transitioning from cautious to progressive category is less difficult compared to advancing from basic to cautious category. Management within the Philippine manufacturing sector may use the proposed framework in evaluating their current supply chain resilience category. Firms may also use the framework as a guide in implementing significant process and procedural adjustments to improve their supply chain resilience.

Pages 61-68
Year 2025
Issue 2
Volume 4