Request and Donation Efficiencies in a Crisis: Data Envelopment Analyses of a Philippine Web-Based Emergency Response System

Jackson J. Tan () and Richard L. Parcia
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Jackson J. Tan: University of Santo Tomas
Richard L. Parcia: University of Santo Tomas

Chapter Chapter 20 in Socioeconomic Dynamics of the COVID-19 Crisis, 2022, pp 441-462 from Springer

Abstract: Abstract On March 16, 2020, the island of Luzon was placed under lockdown to curtail the spread of COVID-19 in the Philippines. Soon thereafter, a web-based emergency response platform was developed to counteract effects from the outbreak. As a free service to strengthen a debilitated national hospital supply chain, the platform connected community organizations (as hospitals) with donors (individuals). From concepts and techniques that addressed information flows in healthcare logistics and supply chain management, several input-oriented data envelopment analyses were conducted to find the efficiencies for each of the 75 hospitals serviced by the website in terms of donors, individual items requested, total quantity of items requested, number of requested individual items that received a pledged, and average days a request pended to fulfillment. Results from the Data Envelopment Analysis (DEA) technique found that hospitals on the platform made requests that exceeded optimal quantities of inputs from donors. Further, hospital requests aggregated at the city-level stood unanswered an average of 14.39 days for inefficiently served cities. Findings from the analyses produced three recommendations to improve the web-based emergency response system service efficiency. The first recommendation was to reallocate donors over more hospitals, such that a few hospitals did not receive a majority of donations. A second recommendation was to reduce the number of individually requested items. The third recommendation was to reduce the quantities of items requested in order to bring service efficiency to optimality.

Keywords: COVID-19; Data envelopment analysis; Healthcare logistics; Supply chain management; Information exchange; Disaster management; Corporate social responsibility; Donations (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-89996-7_20

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