Benchmarking of COVID-19 testing facilities: a case in the Philippines.

Purpose: With the aggressive movement towards testing for COVID-19 across the globe, this study aims to shed light on how testing facilities perform in an operational perspective. Design/methodology/approach: With 102 testing facilities in the Philippines, the relative efficiencies of each facility are quantified using a data envelopment analysis technique. Afterwards, a best-worst method was conducted to assign priority weights to each testing facility. Findings: Results show that the proposed approach effectively prioritizes testing facilities that most likely have high utilization. Research limitations/implications: The findings in this study would be significant to the literature in a number of respects. For one, it reveals results that would stimulate the interest among scholars in a wide variety of disciplines such as management, data mining, policymaking, decision science and epidemiology, among others. Originality/value: This study differs from previous works in a number of respects, particularly, in that to the best of the authors' knowledge, this is the first study to examine the relative efficiencies of COVID-19 testing facilities. [ABSTRACT FROM AUTHOR]

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