Page 154 - AJWEP-22-4

Jusoh and Alwi

Table 3. Outer loadings of measurement items for which are treated as independent variables, and
Human Resource, Logistics Coordination, and HOP, classified as the dependent variable. The path
Humanitarian Operation Performance coefficient (β) from Human Resource to HOP is 0.466,
Item Human Logistics Humanitarian accompanied by a p=0.000. This suggests a statistically
Resource Coordination Operation significant and moderately strong positive relationship.
Performance The findings indicate that strategic HRM practices,
X2.1 0.769 such as training, deployment, and coordination of
X2.10 0.807 personnel, are essential for improving the efficiency and
effectiveness of humanitarian responses in flood-related
X2.2 0.78 disasters. The findings align with previous research that
X2.3 0.75 emphasizes the importance of skilled human resources
X2.4 0.716 in enhancing disaster preparedness and responsiveness
X2.5 0.763 within humanitarian organizations. 1
X2.6 0.741 In a similar manner, the path coefficient (β) from
X2.7 0.776 Logistics Coordination to HOP is 0.393, accompanied
X2.8 0.765 by a p=0.000, indicating a significant and positive
influence. This affirms that effective logistics planning
X2.9 0.807 and coordination, encompassing transport, inventory
X3.1 0.724 management, and distribution, are critical for enhancing
X3.10 0.754 operational outcomes in disaster relief situations.
2
X3.11 0.802 The two relationships highlight the critical interplay
X3.12 0.812 between human and logistical capacities in enhancing
X3.13 0.77 the effectiveness of humanitarian efforts. The empirical
X3.2 0.76 results corroborate the theoretical framework outlined
in the study and are consistent with prior research
X3.3 0.772 highlighting the essential functions of HRM and
X3.4 0.723 logistics integration in disaster scenarios, especially in
X3.9 0.779 developing nations, such as Malaysia, where centralized
Z1.1 0.763 response systems operate under policies, such as the
Z1.12 0.737 National Security Council Directive No. 20. 5
Table 4 presents a comprehensive overview of the
Z1.13 0.747 structural model analysis, exploring the impact of Human
Z1.16 0.741 Resource and Logistics Coordination on the performance
Z1.18 0.733 of HOP. As in Figure 2, the findings indicate that Human
Z1.19 0.758 Resource exerts a noteworthy positive influence on HOP,
Z1.2 0.761 evidenced by a path coefficient (β) of 0.466, a p=0.000,
Z1.21 0.7 and a T statistic of 8.353. This demonstrates a robust and
Z1.3 0.744 statistically significant correlation, thereby reinforcing the
Z1.4 0.75 hypothesis. The elevated T statistic and significantly low
p-value (below 0.05) substantiate that the observed impact
Z1.6 0.765 is unlikely to be a product of random variation, consistent
Z1.7 0.806 with earlier research that underscores the essential
Z1.8 0.772 contribution of human capital to the advancement of
25
Z1.9 0.772 humanitarian initiatives. In a similar vein, the influence
of Logistics Coordination on the HOP is statistically
confirms that each item contributes significantly to significant, evidenced by a path coefficient (β) of 0.393,
measuring its intended latent variable in the model. a p=0.000, and a T statistic of 6.603. This indicates that
effective coordination in logistics plays a vital role in
3.1. Structural model enhancing humanitarian results. The findings corroborate
The structural model presented the direct relationships the hypothesis and align with previous scholarly work
between Human Resource and Logistics Coordination, that emphasizes the significance of logistics coordination

Volume 22 Issue 4 (2025) 146 doi: 10.36922/AJWEP025220182