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Readiness for sustainable-resilience in healthcare organisations during Covid-19 era
International Journal of Organizational Analysis ; 31(1):91-123, 2023.
Article in English | Scopus | ID: covidwho-2245750
ABSTRACT

Purpose:

Using total interpretive structural modelling (TISM), this paper aims to "identify”, "analyse” and "categorise” the sustainable-resilience readiness factors for healthcare during the Covid-19 pandemic. Design/methodology/

approach:

To obtain the data, a closed-ended questionnaire was used in addition to a scheduled interview with each respondent. To identify how the factors interact, the TISM approach was employed and the cross-impact matrix multiplication applied to a classification method was used to rank and categorise the sustainable-resilience readiness factors.

Findings:

This study identified ten sustainable-resilience readiness factors for healthcare during the Covid-19 pandemic. The study states that the major factors are environmental scanning, awareness and preparedness, team empowerment and working, transparent communication system, learning culture, ability to respond and monitor, organisational culture, resilience engineering, personal and professional resources and technology capability. Research limitations/implications The study focused primarily on sustainable-resilience readiness characteristics for the healthcare sector. Practical implications This research will aid key stakeholders and academics in better understanding the factors that contribute to sustainable-resilience in healthcare. Originality/value This study proposes the TISM technique for healthcare, which is a novel attempt in the subject of readiness for sustainable-resilience in this sector. The paper proposes a framework including a mixture of factors for sustainability and resilience in the healthcare sector for operations. © 2020, Emerald Publishing Limited.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Organizational Analysis Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: International Journal of Organizational Analysis Year: 2023 Document Type: Article