Measuring Supply Chain Efficiency in Elderly Care Businesses: A Second-Order Confirmatory Factor Analysis
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Abstract
This research aims to analyze the goodness of fit of the measurement model's efficiency in the supply chain of elderly care businesses, using empirical data. This research is quantitative. The sample group used in the study was 400 elderly care business entrepreneurs selected by stratified random sampling. The research instrument was a questionnaire with a 5-point rating scale. The data were analyzed using second-order confirmatory factor analysis. The research results found that the efficiency of the supply chain of elderly care businesses consisted of 4 components: supply linkage flexibility, logistics cost, product/service quality, and delivery time. The measurement model was consistent with the empirical data: CMIN/df = 1.932, CFI = 0.983, GFI = 0.937, AGFI = 0.906, RMR =0.019, and RMSEA = 0.048. The research results of the measurement model of the efficiency of the supply chain of the elderly care business can use each factor to plan the organization's risk management to create resilience in providing services to the staff on time to meet the needs of the elderly and manage costs for the procurement of medicines and medical supplies sufficient for the elderly in both regular and unexpected events or crises.
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