An assessment of government measures in combatting COVID-19 using ISM and DEMATEL modelling

Abstract

PurposeThe purpose of this paper is to evaluate the interplay of various measures used by different governments around the world in combatting COVID-19.Design/methodology/approachThe research uses the interpretative structural modelling (ISM) for assessing the powerful measures amongst the recognized ones, whereas to establish the cause-and-effect relations amongst the variables, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used. Both approaches utilized in the study aid in the comprehension of the relationship amongst the assessed measures.FindingsAccording to the ISM model, international support measures have the most important role in reducing the risk of COVID-19. There has also been a suggestion of a relationship between economic and risk measures. Surprisingly, no linkage factor (unstable one) was reported in the research. The study indicates social welfare measures, R&D measures, centralized power and decentralized governance measures and universal healthcare measures as independent factors. The DEMATEL analysis reveals that the net causes are social welfare measures, centralized power and decentralized government, universal health coverage measure and R&D measures, while the net effects are economic measures, green recovery measures, risk measures and international support measures.Originality/valueThe study includes a list of numerous government measures deployed throughout the world to mitigate the risk of COVID-19, as well as the structural links amongst the identified government measures. The Matrice d'Impacts croises-multiplication applique and classment analysis can help the policymakers in understanding measures used in combatting COVID-19 based on their driving and dependence power. These insights may assist them in employing these measures for mitigating the risks associated with COVID-19 or any other similar pandemic situation in the future.

Supply chain resilience during the COVID-19: empirical evidence from an emerging economy

“…For its novelty and singularity, the novel coronavirus (COVID-19) has brought considerable challenges to the most diverse management areas (Kamel and Mousa, 2021; Priya et al , 2021; Alam et al , 2021), including the supply chains (Ivanov, 2020a; Queiroz et al , 2020a; Sarkis, 2020; Kamel and Mousa, 2021). Thus, it has provoked severe disruptions to the traditional supply chains by affecting the flow of manufacturing and distribution, creating severe shortages in several network nodes (Haren and Simchi-Levi, 2020; Ivanov and Das, 2020).…”

Modeling and analysis of barriers in controlling TB: developing countries' perspective

“…Further, DEMATEL analysis is integrated with ISM to classify barriers in cause and effect groups. Many previous researches have integrated ISM and DEMATEL approaches (Priya et al , 2021; Shen et al , 2014; Hou and Xiao, 2015). The findings obtained from a combined approach of ISM and DEMATEL analysis revealed that for successful elimination of TB, underinvestment must be considered on priority basis followed by poor implementation of government policies and programs, poverty, poor primary health care infrastructure, less diagnosis at primary level, unregulated private healthcare, inequity to access and unawareness for TB infection, respectively.…”

Modelling the Enablers for Branded Content as a Strategic Marketing Tool in the COVID-19 Era

“…In contrast, in TISM, the interpretive logic knowledge base matrix is prepared to provide logic for each linkage. TISM approach identifies the structural relationship between the variables [42][43][44][45], and DEMATEL further provides the strength of those relationships, along with providing the cause and effect relationship among the variables [46][47][48]. Further, in this section, the methodology for TISM and DEMATEL approaches are discussed.…”