Factor analysis of dynamic capabilities on public health centers operation performance

Abstract

Purpose: The purpose of this study was to determine how the variables of supply chain performance, performance of medical personnel, and occupancy overload affect operating performance moderated by dynamic capability variables. In a case study of public health center in Indonesia.

Design/methodology/approach: This study uses the SEM-PLS quantitative method to analyze the questionnaire data obtained from 112 respondents consisting of medical administrators, nurses, and doctors. Validity and reliability tests were also used to ensure that the data were normally distributed and reliable.

Findings: This study found that the supply chain performance variable and the performance of medical personnel had a positive effect on the operational performance of the public health center either through moderating the dynamic capability variable or not. Meanwhile, occupancy overload was found to have a negative effect on the operational performance of the public health center. And the moderating of the dynamic capability variable is only able to reduce its negative impact.

Research limitations/implications: This study covers only a small number of public health center in Indonesia, so it is quite difficult to produce generalizable findings. This study also did not involve other internal and external variables that could potentially affect the operational performance of the public health center.

Practical implications: The findings of this study can be a suggestion for the government and the management of the public health center to pay more attention to the variables that affect the operational performance of the public health center. Variables that have a positive impact should be increased and variables that have a negative impact should be mitigated.

Social implications: Health centers that have effective and efficient operating management will be able to maximize the performance of patient services armed with available resources. The findings of this study can help the public health center to anticipate a surge in patient visits which can reduce the operating performance of the public health center.

Originality/value: This study combines the variables of supply chain performance, medical personnel performance, occupancy overload, dynamic capability, and operating performance in one causality model framework. In contrast to other studies that did it separately.