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The purpose of this paper is to introduce a new measure of employee resilience. Employee resilience is a key capability enabling employees to manage and adapt to continually changing circumstances. While there is an increasing body of research on how to best promote resilience among employees in organizations, the measurement of the construct has received less research attention. The measure introduced in this paper focuses on employee resilience as a work-related capability that can be developed.

This paper presents three survey-based studies describing the development of a new measure, the Employee Resilience Scale and its preliminary validation. Study 1 concerns the scale development and testing, along with a confirmatory analysis of the measurement structure in a different sample. Study 2 investigates the discriminant validity of the scale in relation to a well-known measure of personal resilience, the Connor–Davidson Resilience Scale. Study 3 was concerned with work-related outcomes of employee resilience (e.g. job engagement).

Support was found for the unidimensionality of the scale in Study 1. Study 2 showed a clear differentiation between the two measures of resilience: employee resilience and personal resilience, supporting the discriminant validity of the measure. Study 3 provided evidence for the criterion-related validity of the scale.

The three studies presented here provide preliminary support that the Employee Resilience Scale can be used to measure resilience among employees.

While the concept of employee resilience has gained attention in the literature, a measure of the construct has lacked. The study presents a valid measure of employee resilience which can be used to diagnose and develop a more adaptive workplace.

The purpose of this paper is to present a framework for evaluation and ranking of potential surrogates to select the optimum surrogates and test it for five selected social resilience indicators in a disaster context. Innovative resilience assessment approaches are required to capture key facets of resilience indicators to deepen the understanding of social resilience. Surrogates can adequately represent the target indicator that is difficult to measure, as surrogates are defined as key facets of a target indicator.

To optimize the selection of surrogates, five key evaluation criteria were used. Disaster management experts completed an online survey questionnaire and evaluated three potential surrogate options. Surrogates were then ranked using PROMETHEE, a multi-experts multi-criteria group decision analysis technique.

A framework was devised to evaluate and rank potential surrogates to assess social resilience in a disaster context. The findings revealed that the first ranked surrogate can be the most critical facet of a resilience indicator of measure. In most instances, highly experienced cohort of practitioners and policy makers have aligned their preferences of surrogates with the overall ranking of surrogates obtained in this study.

The surrogate approach can also be tested in different disaster and geographic contexts. The resilience indicators used in this study to explore surrogates are largely applicable in all contexts. However, the preference of surrogates may also vary in different contexts.

Once the surrogate is selected through an evaluation process proposed in this paper, the resilience status can be updated regularly with the help of the selected surrogate. The first ranked surrogate for each of the social resilience indicator can be applied, since the findings revealed that the first ranked surrogate can be the most critical facet in the context of the social resilience indicator being measured.

The framework and the selection of optimal surrogates will assist to overcome the conceptual and methodical challenges of social resilience assessment. The applicability of selected surrogates by practitioners and policymakers in disaster management will play a vital role in resilience investment decision-making at the community level.

The surrogate approach has been used in the fields of ecology and clinical medicine to overcome the challenges in measuring difficult to measure indicators. The use of surrogates in this study to measure social resilience indicators in a disaster context is innovative, which was not yet explored in resilience measurement in disaster management.

Flood resilience is a critical concept in flood risk management (FRM). Meanwhile, flood resilience measurement has become vital for making the business case for investment in FRM. However, information is sparse on measuring the level of resilience of flood-prone communities in Nigeria. Therefore, this study aims to develop a fuzzy logic-based model for measuring the resilience of flood-prone communities towards achieving the United Nations Sustainable Development Goals (SDGs) 11 and 13.

This study describes the development of a fuzzy logic-based flood resilience measuring model, drawing on a synthesis of fuzzy logic literature and extant flood resilience. A generalisation of the flood system for a typical Nigerian community was made. It was followed by an identification and characterisation of the variables and parameters of the system based on SDGs 11 and 13. The generated data was transformed into a fuzzy inference system (FIS) using three input community flood resilience dimensions: natural, socio-technical and socio-economic factors (SEF). The model was then validated with primary data obtained from selected flood-prone communities in Ibadan, Southwest Nigeria. Expert opinions were used in rating the input dimensions for the selected communities.

In spite of various inputs from experts in the same study area (Apete, Ibadan, Nigeria), the resulting FIS generated consistent resilience indices for various natural, socio-technical and SEF. This approach can strengthen flood resilience measurement at the community level.

Although previous attempts have been made to measure flood resilience at the individual property level (Oladokun et al., 2017; Adebimpe et al., 2020), this research focuses on measuring flood resilience at the community level by adapting the fuzzy logic approach. The fuzzy logic-based model can be a tool for flood resilience measurement at the community level. It can also be developed further for regional and national level applications.

Despite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.

A quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.

A predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).

The resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.

This is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.

The purpose of this paper is to evaluate the literature on whole school approaches to increasing resilience in pupils. This is pertinent with the increase in children and young people’s mental health needs creating extra pressure on schools to foster young people’s ability to withstand stress and adversity. Whilst previous research works have considered the ways in which schools support their pupils, the extent to which resilience has been reliably measured has varied. Recently, several validated resilience measures have been developed which allows for potentially more robust research to take place. This systematic review therefore summarises and critiques the literature exploring whole school approaches to resilience development only where a validated measure has been used. In total, 11 studies were reviewed and demonstrate that there is a trend between school factors and pupil resilience. The importance of supportive relationships with both peers and staff in school is highlighted in several studies as well as the positive effect of including a robust health promoting school’s agenda situated within local communities. However, the number of limitations identified within the current literature suggests that this review is not able to offer clear recommendations to schools. This review will, however, be helpful to schools, local authorities and the government in allowing them to take more of a critical stance in understanding resilience within a school context.

A total of 11 critically evaluated studies were reviewed and demonstrate that there is a trend between school factors and pupil resilience.

The importance of supportive relationships with both peers and staff in school is highlighted in several studies as well as the positive effect of including a robust health promoting school’s agenda situated within local communities.

However, the number of limitations identified within the current literature suggests that this review is not able to offer clear recommendations to schools. There are no studies in the UK using validated resiliency questionnaires as part of their evaluation and this is a limitation to the literature.

This review will, however, be helpful to schools, local authorities and the government in allowing them to take more of a critical stance in understanding resilience within a school context. This is particularly relevant when considering the needs of evaluation before the implementation of new school programmes.

Flood resilience is emerging as a major component of an integrated strategic approach to flood risk management. This approach recognizes that some flooding is inevitable and aligns with the concept of “living with water.” Resilience measurement is a key in making business case for investments in resilient retrofits/adaptations, and could potentially be used to inform the design of new developments in flood prone areas. The literature is, however, sparse on frameworks for measuring flood resilience. The purpose of this paper is to describe the development of a fuzzy logic (FL)-based resilience measuring model, drawing on a synthesis of extant flood resilience and FL literature.

An abstraction of the flood resilience system followed by identification and characterization of systems’ variables and parameters were carried out. The resulting model was transformed into a fuzzy inference system (FIS) using three input factors: inherent resilience, supportive facilities (SF) and resident capacity.

The resulting FIS generates resilience index for households with a wide range of techno-economic and socio-environmental features.

It is concluded that the FL-based model provides a veritable tool for the measurement of flood resilience at the level of the individual property, and with the potential to be further developed for larger scale applications, i.e. at the community or regional levels.

The purpose of this paper is to develop nine criteria for tourism disaster resilience scorecard for destinations (TDRSD) by using the “disaster resilience scorecard for cities, based on UNISDR’s ten essentials”. As a surrogate for the city, the Convention and Visitors Bureau (CVB) is used at the destination level to manage and oversee disasters within the perspective of a visitor. The initial section of the paper revises the scorecard to adapt to the destination, while the second part of the paper applies the scorecard to a specific city destination. The TDRSD scorecard for CVBs was used to evaluate the destination of Manta, Ecuador.

The approach included four stages. The first stage was to use a Delphi technique to evaluate and adapt the UNIDSRR scorecard to a destination (tourism) context. The second stage included conducting interviews with members of the Manta CVB and Mesa 5 (Emergency Management Department of Manta). Consequently, each answer was paired with support for the item and criteria score. Finally, the weak and strong scores were identified for each essential and match them up with recommendations and trends available in literature.

This study set out to do three things: suggest that a similar scorecard is necessary for destinations; adapt the UNIDSR scorecard to a destination focus; and apply the TDRSD to Manta, Ecuador. Overall, these goals were met. But most interestingly, findings suggest some troubling outcomes.

The study allowed to undercover gaps in the current risk management plan of the destination, while providing an evaluation of the engineering resilience of the tourism sector of Manta in case of a disaster.

The purpose of the population‐based study in the paper is to report on progress in formulating instruments to measure children's resilience and associated protective factors in family, primary school and community contexts.

In this paper a total of 2,794 students, 1,558 parents/caregivers, and 465 staff were surveyed in October 2003. A cross‐sectional research method was used for the data collection. Three surveys (student survey, parent/caregiver survey, and staff survey) were developed and modified to measure student resilience and associated protective factors. Exploratory factor analysis with Oblimin rotation and confirmatory factor analysis were used to analyse the reliability and validity of the scales of the three surveys.

The surveys in this paper find good construct validity and internal consistency for the social support scale of parent/caregiver survey, which had been modified from previous studies. Confirmatory factor analysis indicated a goodness of fit for the following scales: student resilience scale of the student survey; the school organisation and climate scale and family functioning scale of the parent/caregiver survey; and the health‐promoting school scale and social capital scale of the staff survey.

The paper specifies aspects of the resilience concept within a holistic or socio‐ecological setting. Measures of validity and reliability indicate that these instruments have the sensitivity to elucidate the complexity of both the resilience concept and the intricacy of working within the multi‐layered world of the school environment.

This paper provides health educators and researchers with reliable and valid resilience measures, which can be used as guidelines in implementing evaluation programmes for the health‐promoting school project and the prevention of mental health problems in children.

The main components of resiliency, including resilience capacities, resilience activities and resilience measures, are identified, extracted and redefined by designing their ontologies. The integrated model is developed by adapting the PDCA (plan, do, check and act) model to resilience management and implementing the developed concepts in the model.

This study uses systems theory to define the main concepts discussed in the literature on resilience. This study then uses systems engineering theory and a resource-based view of the firm to develop an integrated framework to demonstrate how a resilient firm operates.

The revised terminologies and the integrated model address the current theoretical issues in the literature, and they also provide a reference model for practical implementation of resilience management at the firm level. Also, the integrated model addresses the role of innovation in resilience management.

The study examines the concept of resilience form a quality perspective and also examines how resilience and innovation are related.

Recent changes in climate, rainfall patterns, snow melt and rising sea levels coupled with an increase in urban development have increased the threat of flooding. To curb these threats and mitigate these damages, property-level approaches to improving resilience are now being encouraged as part of an integrated approach to flood risk management. This raises questions such as, what are the flood resilient attributes within individual properties, what is their importance and how can these be quantified. This research sought to develop a quantitative approach for the measurement of property-level flood resilience.

A synthesis of literature was undertaken to establish the main resilient attributes and their relevant sub-attributes. This process led to the development of a new method, named the Composite Flood Resilient Index (CFRI) to weight the attributes and sub-attributes of flood resilience based on their importance. The approach adopts the use of the fuzzy-analytic hierarchy process (F-AHP) approach to quantify flood resilience.

The implications of the proposed methodology in determining the flood resilience of individual property, including the potential use in retrofitting activities, and the benefits to a range of stakeholders are considered.

The methodology offers the potential to support the measurement of flood resilience of individual properties, allowing the identification and prioritisation of specific interventions to improve the resilience of a property.

Whereas previous attempts to quantify flood resilience have adopted qualitative approaches with some level of subjectivity, this proposed methodology represents an important advancement in developing a scientific and quantitative approach.