Your browser doesn't support javascript.
Readiness for sustainable-resilience in healthcare organisations during Covid-19 era
International Journal of Organizational Analysis ; : 33, 2022.
Article in English | Web of Science | ID: covidwho-1822011
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.
Keywords

Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: International Journal of Organizational Analysis Year: 2022 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Web of Science Language: English Journal: International Journal of Organizational Analysis Year: 2022 Document Type: Article