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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.

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.

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.

The study focused primarily on sustainable-resilience readiness characteristics for the healthcare sector.

This research will aid key stakeholders and academics in better understanding the factors that contribute to sustainable-resilience in healthcare.

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.

Although resilience is heavily studied in both the healthcare and organizational change literatures, it has received less attention in healthcare information technology (HIT) implementation research. Healthcare organizations are consistently in the process of implementing and updating several complex technologies. Implementations and updates are challenged because healthcare workers often struggle to perceive the benefits of HITs and experience deficiencies in system design, yet bear the brunt of the blame for implementation failures. This combination implores healthcare workers to exercise HIT resilience; however, how they talk about this construct has been left unexplored. Subsequently, this study explores healthcare workers' communicative constitution of HIT resilience.

Twenty-three physicians (N = 23), specializing in oncology, pediatrics or anesthesiology, were recruited from one healthcare organization to participate in comprehensive interviews during and after the implementation of an updated HIT system DIPS.

Thematic analysis findings reveal physicians communicatively constituted HIT resilience as their (1) convictions in the continued, positive developments of newer HIT iterations, which marked their current adaptive HIT behaviors as temporary, and (2) contributions to inter-organizational HIT brainstorming projects in which HIT designers, IT staff and clinicians jointly problem-solved current HIT inadequacies and created new HIT features.

Offering both practical for healthcare leaders and managers and theoretical implications for HIT and resilience scholars, this study's results suggest that (1) healthcare leaders must work diligently to create a culture of collaborative HIT design in their organization to help facilitate the success of new HIT use, and (2) information technology scholars reevaluate the theoretical meaningfulness a technology's spirit and reconsider the causal nature of a technology's embedded structures.

In the healthcare management domain, there is a lack of knowledge concerning the role of resilience practices in improving patient safety. The purpose of this paper is to understand the capabilities that enable healthcare resilience and how digital technologies can support these capabilities.

Within- and cross-case research methodology was used to study resilience mechanisms and capabilities in healthcare and to understand how digital health technologies impact healthcare resilience. The authors analyze data from two Italian hospitals through the lens of the operational failure literature and anchor the findings to the theory of dynamic capabilities.

Five different dynamic capabilities emerged as crucial for managing operational failure. Furthermore, in relation to these capabilities, medical, organizational and patient-related knowledge surfaced as major enablers. Finally, the findings allowed the authors to better explain the role of knowledge in healthcare resilience and how digital technologies boost this role.

When trying to promote a culture of patient safety, the research suggests healthcare managers should focus on promoting and enhancing resilience capabilities. Furthermore, when evaluating the role of digital technologies, healthcare managers should consider their importance in enabling these dynamic capabilities.

Although operations management (OM) research points to resilience as a crucial behavior in the supply chain, this is the first research that investigates the concept of resilience in healthcare systems from an OM perspective, with only a few authors having studied similar concepts, such as “workaround” practices.

The purpose of this explorative research is to analyse the resilience of the United Kingdom's (UK) healthcare supply chains from a customer’s perspective in the light of the coronavirus pandemic.

Using the capabilities of preparedness, robustness, recovery and adaptability as the foundational percept for supply chain resilience, 22 healthcare professionals in 17 of the UK's National Health Scheme (NHS) Trusts were interviewed to explore their personal and organisational approaches adopted relative to the provision of eye protection, gloves, gowns, aprons, masks and respirators. The Dynamic Capabilities View is mapped to the resilience capabilities and used to analyse the data from a transformational supply chain research perspective.

The supply chains were largely unprepared, which was not particularly surprising even though the availability of gloves was significantly better compared to the other personal protective equipment (PPE). Techniques adopted to ensure robustness and recovery revealed the use of unsanctioned methods such as extended use of PPE beyond recommended use, redefinition of guidelines, protocols and procedures by infection control and the use of expired PPE – all of which compromised customer well-being.

As the paper views resilience through the lens of customers, it does not provide the perspectives of the supply chain practitioners as to the reasons for the findings and the challenges within these supply chains.

The compromise of the well-being of healthcare workers due to the vulnerabilities of healthcare supply chains is highlighted to managers and prescriptions for post-disruption adaptability are made.

This paper introduces transformative research to supply chain resilience research by uniquely looking at resilience from the customers' well-being perspective.

This paper aims to explore how resilience is evident in healthcare supply chains in the public sector when faced with pandemic disruption and to identify any learnings to inform recovery and future-readiness phases.

An exploratory case study was conducted, consisting of seven semi-structured interviews with public sector supply chain actors in the healthcare personal protective equipment supply chain. The data included document analysis.

Key findings show how specific resilience strategies such as agility, collaboration, flexibility and redundancy, contributed to supply chain resilience during the COVID-19 pandemic response. Collaboration is identified as a key mechanism for resilience with public sector networks viewed as facilitating this. Established collaborative relationships with suppliers pre-pandemic did not support increased visibility of tiers within the supply chain.

This is one of the first papers to provide in-depth resilience insights through an example of healthcare supply chains during the COVID-19 pandemic.

To discuss how managers contribute in promoting resilience in healthcare, and to suggest a model of managers' role in supporting resilience and elaborate on how future research and implementation studies can use this to further operationalize the concept and promote healthcare resilience.

The authors first provide an overview of and discuss the main approaches to healthcare resilience and research on management and resilience. Second, the authors provide examples on how managers work to promote healthcare resilience during a one-year Norwegian longitudinal intervention study following managers in nursing homes and homecare services in their daily quality and safety work. They use this material to propose a model of management and resilience.

The authors consider managerial strategies to support healthcare resilience as the strategies managers use to engage people in collaborative and coordinated processes that adapt, enhance or reorganize system functioning, promoting possibilities of learning, growth, development and recovery of the healthcare system to maintain high quality care. The authors’ model illustrates how managers influence the healthcare systems ability to adapt, enhance and reorganize, with high quality care as the key outcome.

In this study, the authors argue that managerial strategies should be considered and operationalized as part of a healthcare system's overall resilience. They propose a new model of managers' role in supporting resilience to be used in practice, interventions and future research projects.

This paper aims to explore the influence of dimensions of organizational culture, namely, development culture, group culture, rational culture and hierarchical culture, on healthcare supply chain resilience (HCRES). Further, the study explored the moderating role of technology orientation on organizational culture dimensions and healthcare resilience linkages.

The study adopted a multi-unit study of different hospital supply chains (SCs). Consequently, perceptual data were gathered from seven dominant entities in a typical medical/hospital SC: hospitals, hotels, chemistry and pharmaceutical, marketing/public relations/promotion, medical equipment manufacturers and surgical suppliers, food and beverage providers (i.e. restaurants) and insurance providers. The responses were gathered using online survey and were analyzed using structural equation modeling.

Based on 276 completed responses, positive influences were found for development, group and rational cultures on HCRES. As expected, a negative influence of hierarchical culture was found on HCRES. Further, technological orientation was found to enhance the positive effects of development, group and rational cultures on HCRES. However, no prominent moderation was noted for hierarchical culture’s influence on HCRES. The findings suggested managers to focus more on developing competing values framework (CVF)-based dimensions of organizational culture dimensions for effective risk mitigation so as to provide healthcare services in a timely manner to patients.

The study is the first to investigate the effects of organizational culture’s dimensions on resilience. The study has empirically established the association between CVF view and dynamic capabilities. The study underlined the importance of resilience in healthcare SCs. Resilience is an important dynamic capability in healthcare SCs to provide uninterrupted treatments and services to patients. Any failure in such a service can be fatal. Further, the study developed the measures of development, group, rational and hierarchical culture for further investigation in healthcare. This study is also the first to develop a measure for resilience in the healthcare sector.

The purpose of this rapid review was to present current evidence on relations between resilience and self-efficacy among healthcare practitioners in the context of COVID-19 pandemic.

Literature searches were conducted in February/2022 in the online database MEDLINE EBSCO and not date/time limited. Eligibility criteria were as follows: population – healthcare practitioners, interest – relations between resilience and self-efficacy and context – COVID-19.

Six eligible studies from Italy, China, United Kingdom, India, Pakistan and Spain, published between 2020 and 2021 were included in the review. All studies used quantitative methods. The relations between resilience and self-efficacy were identified in contexts of resilience programs, measuring mental health of frontline nurses, measuring nurses' and nursing students' perception of psychological preparedness for pandemic management, perception of COVID-19 severity and mediating roles of self-efficacy and resilience between stress and both physical and mental quality of life. Findings indicated limited research on this topic and a need for more research.

Broader understanding of the relations between resilience and self-efficacy may help healthcare organizations' leaders/managers aiming to support resilience of their employers under challenging circumstances such as future pandemic.

The latest COVID-19 pandemic presented the opportunity to research relations between resilience and self-efficacy and enrich existed research in a new and extraordinary context.

Building supply chain (SC) resilience has become a priority for many organizations, following a global increase in disruptive events. While management accounting and control (MAC) systems play a supportive role in supply chain management (SCM) decisions, little is known about the contributions offered to resilience decisions in service organizations. The purpose of this study is to examine the performance implications of MCS's impact on proactive and reactive resilience of healthcare supply chains.

This study conducted a survey of 127 public health managers via structural equation modeling. The partial least squares version 3.3.3 was used.

The results show a statistically positive impact of MAC dimensions on proactive and reactive resilience, which in turn impacts the quality, delivery speed and cost effectiveness of the health SC. However, the integration dimension had an insignificant effect on reactive resilience but a positive effect on proactive resilience.

This study examined the performance implications of MAC system dimensions and proactive and reactive resilience on operational performance in health SCs, using empirical data from only one country. Thus, generalizing the findings to include other jurisdictions may be impossible.

Healthcare managers in public health facilities should embrace the four MAC dimensions (except the integrated dimension in reactive resilience) to support information generation in SC resilience decisions.

Perhaps, the first to provide preliminary empirical evidence on the interactive effect of proactive and reactive resilience and MAC dimensions in terms of broad scope, timeliness, integration and aggregation on health SC operational performance under disruption, in the context of an emerging economy.

Resilience is a fundamental component of healthcare supply chains, as the quality and endurance of human life are dependent on them. However, there are numerous resilience-building measures, and there is a need for prioritization of those strategies. This research study aims to prioritize resilience strategies for healthcare supply chains while considering the risks that most severe, probable to occur and have the lengthiest periods of recovery.

This research study has used multi-criteria decision-making (MCDM) techniques for analysis. Initially, the criteria for prioritization of risks, i.e. severity, probability of occurrence and recovery time were assigned with importance weights through the fuzzy analytical hierarchy process (AHP). Then, these weights were used in the fuzzy technique for order preference by similarity to ideal solution (TOPIS) analysis for prioritization of risks. Subsequently, the identified risks were used for highlighting the appropriate resilience strategies through the fuzzy quality function deployment (QFD) technique.

Results indicate that Industry 4.0, multiple sourcing, risk awareness, agility and global diversification of suppliers, markets and operations are the most significant resilience strategies.

This study's limitation is that it is conducted in a general perspective, rather than reducing the context to a developing or developed country. Different areas have variable market factors, due to which potential risks occur in a different form. Moreover, resilience strategies work differently in different environments. Therefore, for future endeavors, the studies should be carried out in a limited context.

This research study proposes a novel MCDM-based approach for ranking resilience strategies, in light of the most probable, severe and long-lasting risks. In addition, this approach has been employed for the enhancement of resilience in healthcare supply chains.