Readiness for sustainable-resilience in healthcare organisations during Covid-19 era
International Journal of Organizational Analysis
ISSN: 1934-8835
Article publication date: 2 May 2022
Issue publication date: 13 January 2023
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
Citation
Thomas, A. and Suresh, M. (2023), "Readiness for sustainable-resilience in healthcare organisations during Covid-19 era", International Journal of Organizational Analysis, Vol. 31 No. 1, pp. 91-123. https://doi.org/10.1108/IJOA-09-2021-2960
Publisher
:Emerald Publishing Limited
Copyright © 2020, Emerald Publishing Limited