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Given the uncertain and often disruptive business environment, understanding how employees, teams, and organizations can recover from stress, build long-lasting resilience, and exploit failures as learning opportunities is key for employees’ well-being and organizational success. The book has been organized in three sections, each representing a major domain of inquiry: recovery, resilience, and learning. The chapters within each section elaborate on these domains, and each provides novel ideas and insights. The goal of this chapter is to summarize and integrate some themes and insights offered by the chapters in this book. Based on this summary and integration, the author will illuminate some exciting paths opened up by these chapters, which might be worth exploring further by other scholars in the future. Specifically, future research could benefit from (1) stronger integration of research on recovery, resilience, and learning from failure, (2) better understanding of the role of setbacks, failure, and adversity for recovery, resilience, and learning, and (3) investigations of the role of context for recovery, resilience, and learning from failure.

Given increasing customer expectations and disturbances to product returns management, capabilities such as supply chain resilience (SCR) can complement service recovery strategies in retail supply chains. This study utilizes procedural justice theory (PJT) to conceptualize service recovery resilience as a capability that allows firms to meet customer requirements when dealing with disruptions, and empirically investigates its impact on procedural and interactional justice and customer outcomes (i.e. satisfaction and loyalty) in the context of product replacement.

This research employs two scenario-based experiments using a sample of 368 customers to explore the outcomes associated with service recovery resilience.

The investigation shows more satisfied and loyal customers when a retail supply chain can overcome service recovery challenges through SCR. The study shows that customers evaluate not only the process itself, but also their interactions with the retailer. Specifically, procedural justice and interactional justice have a significant influence on these relationships.

This study proposes service recovery resilience as a concept that bridges service recovery theory with supply chain strategy in the unique context of product replacement. Further, this study also notes how information enhances customer satisfaction with the retailer's effort to address disturbances in the recovery process. Finally, this study informs managers on the capabilities needed to face new customers' needs.

Since the start of the current century, the world at large has experienced uncertainties as a result of climate change, terrorism threats and increasing economic upheaval. These uncertainties create non-classical risks for global seaborne container trade and liner shipping networks (LSNs). The purpose of this paper is to establish a novel risk-based resilience framework to measure the effectiveness of different recovery strategies for the disruptions in LSNs in a quantitative manner.

Based on a resilience loss triangle model, an indicator of resilience–cost ratio is designed to measure the performance of LSNs during recovery. Four recovery strategies are proposed to test the rationality and feasibility of the developed indicator in aiding decision-making of LSNs from a resilience perspective.

The analysis results reveal that the superiorities of different recovery strategies vary depending on both the structures of LSNs and the specific requirements during recovery. Moreover, optimizing the sequence of ports being recovered will improve the overall recovery efficiency of the investigated LSN.

As an exploratory research trying to enrich the risk-based resilience evaluation of LSNs from a complex network perspective, only two attributes (e.g. port scare and economy) are considered at the current stage when estimating the time needed to fully recover the whole LSN. In future research, more attributes from the industry may be identified and incorporated into the proposed model to further extend its ability and application scopes.

The findings will help to improve managerial understandings of recovery strategies to build more resilient LSNs. The proposed model has the capability to be tailored to tackle different types of risks in addition to the storm disaster condition.

The risk-based resilience framework and the resilience–cost ratio indicator are newly developed in this research. They can consider LSNs' structural resilience and the total costs that a recovery strategy needs to restore the whole system simultaneously.

Improving the resilience of the construction sector helps countries recover quicker from crises and can assist with improving community resilience and recovery. This study aims to explore ways in which the construction sector might improve its resilience.

This paper examined past disasters and the role construction plays to understand what and how better construction resilience can be built, and the impact this will have on recovery and reconstruction.

The findings showed that after a crisis, the construction sector is called upon to manage building and infrastructure recovery and reconstruction. Construction organisations are needed by the community, as they provide physical resources, people, materials, logistics, management and technical expertise and rebuilding. To ensure that recovery and reconstruction programs are successfully implemented, it is necessary for the construction sector to be resilient. To achieve improved resilience in the construction industry, disaster resilience management needs to become mainstreamed into construction processes.

Although larger organisations have some preparation to respond to crises, including having emergency or disaster plans, smaller companies struggle to achieve a reasonable level of resilience. It appears that senior management and key people in construction organisations are familiar with the procedures but that the majority of staff in organisations lack knowledge and skills.

Understanding the role the construction sector plays in disasters and providing directions for improving construction sector resilience will ultimately improve recovery and reconstruction outcomes.

This paper discusses how communities rely on services provided by construction organisations to enable them to recover from emergencies and crises. Pre-disaster construction company resilience impacts on the ability of construction companies to function post-disaster.

This paper focuses on a number of cases and shows where and how the construction sector has worked in disasters and provides a new analysis of the role the industry plays, and the various disaster stages where the industry has maximum impact.

The purpose of this paper is to explain the effects of innovation, specialisation, qualifications and sectoral structure on the resilience of German regions (municipal level) facing the Great Recession in 2008/2009.

To calculate the effects of various variables on the resilience of German regions against the Great Recession, the authors use quantile regressions. To measure resilience, the authors create a number of indexes representing different parts of the economy: resistance performance index, recovery performance index, shift-share resistance index, shift-share recovery index, manufacturing resistance index, manufacturing recovery index, service resistance index and service recovery index.

The results of this study confirm that locations with employment growth before the crisis and with a good industry structure show better employment dynamics during and after the crisis. The authors find evidence for positive relationship between innovativeness, qualification, the share of the service sector, specialisation and resistance. The authors obtain positive results for related variety and both resistance and recovery. The share of the manufacturing sector only shows a positive relationship with recovery.

The authors expand the existing literature in three aspects: First, instead of using regions as observation units, the authors conduct the analyses on the basis of municipalities and their surroundings. By doing so, the authors reduce the modifiable area unit problem because the authors do not rely on regions defined for administrative reasons. Second, the authors apply quantile regressions to detect nonlinear effects. Third, in addition to the resilience of the whole economy, the authors also study the resilience of the manufacturing and service sectors separately and examine the resilience of the local shift effect.

Despite recent advances, neither organizational studies nor the scholarship on economic resilience has systematically addressed how the ecologies of organizations that populate local economies can serve as infrastructures for responding proactively to economic shocks. Using county-level data, this study analyzes relationships between the prevalence of organizational alternatives to shareholder value-oriented (SVO) corporations within a particular locality and its unemployment levels during and after the Great Recession. The results support the hypothesis that the presence of such alternative organizations can enhance the capacities of local economies to resist and recover from recession shocks. Cooperative, municipal, and community-based enterprises, research universities, and nonprofits more generally were associated with greater resistance to the recession shock and stronger recoveries – specifically, lower surges in unemployment rates from 2007 to 2010 and greater reductions in unemployment rates from 2010 to 2016. By contrast, SVO corporations were associated with greater surges in unemployment and perhaps weaker recoveries. Providing a proof of concept, this study opens up new lines of inquiry for organizational studies by linking organizational ecologies to the promotion of collective efficacy and a more broadly shared prosperity in economic life.

This study explored the resilience-building initiatives of work organizations using the Johns Hopkins Resistance–Resilience–Recovery Model. It also determined how resilience-building initiatives increase organizational resilience and promote employee resilience.

The study employed an exploratory sequential mixed-methods approach. In Study 1, resilience-building initiatives of selected work organizations in the Philippines were determined through qualitative research. A survey questionnaire to determine the presence of resistance, resilience and recovery programs in organizations was developed based on the results of this qualitative study. In Study 2, the empirical relations of these initiatives to reported levels of perceived organizational resilience as well as individual employee resilience were determined through a quantitative survey among employees. Data was analyzed using structural equation modeling.

The findings of the study described resistance, resilience and recovery programs in work organizations. Results also supported the hypothesis that the presence of resilience-building initiatives contributes to organizational resilience, which in turn affects employee resilience.

The relatively low contribution of organization initiatives on organization resilience suggests that other factors may need to be explored. Also, despite using a sequential mixed-method approach, conducting longitudinal studies in future research will provide more robust data on the impact of interventions on resilience.

Management may use the results in identifying initiatives that can increase resilience in their organizations. The tool created may be utilized in gathering data on initiatives and help those in-charge of disaster risk reduction and management build a business case on the importance of investing in resilience-building efforts.

The study identified resilience-building initiatives of work organizations in a country that regularly experiences disasters as well as demonstrated the utility of the Johns Hopkins Model as framework for resilience building in the workplace. A survey questionnaire to determine the presence of resistance, resilience and recovery programs in organizations was developed through the exploratory study (Study 1), and the contributions of these initiatives to resilience of employees and organizations were established in Study 2.

This article explores the community recovery and resilience element of “building back better” (BBB) through the perspectives and experiences of community influencers who provided psychosocial supports after the 2013 floods in southern Alberta, Canada.

The Alberta Resilient Communities (ARC) project adopted a community-based research methodology to examine the lived realities of children, youth, families and their communities postflood. In-depth semistructured interviews were conducted with 37 community influencer participants representing a range of organizations including not-for-profit agencies, community organizations, social service agencies and government departments.

The findings were drawn from the interviews held with community influencers in flood-affected communities. Major themes include disaster response challenges, insufficient funding for long-term disaster recovery, community partnerships and collaborations and building and strengthening social capital.

Findings demonstrate the need to build better psychosocial services, supports and resources in the long term to support community recovery and resilience postdisaster for children, youth and families to “build back better” on a psychosocial level.

Local social service agencies play a key role in the capacity of children, youth and families to “build back better” postdisaster. These organizations need to be resourced and prepared to respond to psychosocial needs in the long term in order to successfully contribute to postdisaster recovery.

The findings illustrate that adopting a psychosocial framework for disaster recovery can better inform social service disaster response and long-term recovery plans consistent with the BBB framework. Implications for social service agencies and policymakers interested in fostering postdisaster community recovery and resilience, particularly with children and youth, are presented.

This paper aims to investigate the impact of cooperative firms on the patterns of regional economic resilience in Italy from 2008 to 2019.

This study uses regional statistics to compute indices of resilience for both real GDP per capita and employment during both recovery and resistance periods. By means of a linear model, the authors investigate the relationships between indices of resilience and the cooperative presence, while controlling for a set of demographic, social and economic variables.

This study shows that during (and after) recessions such regional indices exhibit very different patterns, with notably poorer performance observed in Southern regions compared to the rest of the country. Furthermore, this study illustrates that the size of the cooperative employment improves the overall resilience of regional employment, especially during recovery periods.

The findings hint at policies enhancing the strength and scope of the cooperative movement as a driver of territorial resilience.

To the best of the authors’ knowledge, this is the first study in relating territorial resilience and the presence of a type of companies. This study performs the analysis at the regional level regarding cooperative enterprises. The new findings hint at some policies enhancing the strength and scope of the cooperative movement.

This paper introduces a model of social repair to the language of disaster recovery that potentially provides a new way of conceptualizing reconstruction and recovery processes by drawing attention to the dismantling of structural inequities that inhibit post-disaster recovery.

The paper first engages with the current discourse of vulnerability reduction and resilience building as embedded within a distinct politics of post-disaster recovery. The concept of social repair is then explored as found within post-conflict and reconciliation literature. For application within the context of natural disasters, the concept of social repair is modified to have evaluative and effectiveness significance for disaster recovery. A short case example is presented from post-flood Pakistan to deepen our understanding of the potential application and usage of a social repair orientation to disaster recovery.

The paper recommends that the evaluative goals of post-disaster recovery projects should be framed in the language of social repair. This means that social relationships (broadly defined) must be restored and transformed as a result of any disaster recovery intervention, and relationship mapping exercises should be conducted with affected communities prior to planning recovery interventions.

Current discourses of disaster recovery are rooted within the conceptual framings of reducing vulnerabilities and building resilience. While both theoretical constructs have made important contributions to the disaster recovery enterprise, they have been unable to draw sufficient attention to pre-existing structural inequities. As disaster recovery and reconstruction projects influence the ways communities negotiate and manage future risk, it is important that interventions do not lead to worsened states of inequity.