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

Severina Pocong Velos (Graduate School, Cebu Technological University, Cebu City, Philippines and College of Education, Cebu Technological University, Cebu City, Philippines)
Marivel Go (Graduate School, Cebu Technological University, Cebu City, Philippines and Department of Industrial Engineering, College of Technology, Cebu Technological University, Cebu City, Philippines)
Johnry Dayupay (Graduate School, Cebu Technological University, Cebu City, Philippines and College of Education, Cebu Technological University, Cebu City, Philippines)
Rodolfo Jr Golbin (Graduate School, Cebu Technological University, Cebu City, Philippines and College of Arts and Sciences, Cebu Technological University, Cebu City, Philippines)
Feliciana Cababat (Graduate School, Cebu Technological University, Cebu City, Philippines and College of Arts and Sciences, Cebu Technological University, Cebu City, Philippines)
Hazna Quiñanola (Graduate School, Cebu Technological University, Cebu City, Philippines)
Dharyll Prince Mariscal Abellana (Department of Computer Science, University of the Philippines Cebu, Cebu City, Philippines)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 4 August 2022

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Abstract

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.

Keywords

Acknowledgements

The authors would like to acknowledge the Department of Health (DOH) – Republic of the Philippines for providing the data needed to carry out this study.

Citation

Velos, S.P., Go, M., Dayupay, J., Golbin, R.J., Cababat, F., Quiñanola, H. and Abellana, D.P.M. (2022), "Benchmarking of COVID-19 testing facilities: a case in the Philippines", Journal of Modelling in Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/JM2-01-2021-0029

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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