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This paper aims to develop a process model of business-to-business (B2B) relationship recovery after a transgression has placed the future of the relationship in doubt. The research questions ask, How are relationships recovered? and How does the relationship strength pre-transgression influence the recovery process?

The process model is empirically grounded with first-hand narratives of owner managers (OMs) and key personnel of Irish small and medium-sized enterprises (SMEs). Using the critical incident technique, 25 owner and manager interviews in 23 SMEs resulted in 48 recovery narratives.

The findings identify four types of outcomes flowing from two potential recovery process paths. The strength of the relationship pre-transgression and the desire to maintain the relationship influence the parties’ actions during the recovery process and the status of the relationship subsequently.

The authors acknowledge that each narrative in the data are the informants’ construction of the phenomenon. The B2B relationship recovery process model offers OMs and SMEs a blueprint of what to expect, and how they might reach for recovery instead of the relationship ending.

Prior studies either treat recovery as a minor part of an ending process or focus on a single sub-process, leaving the overall process under-researched. This study contributes to the B2B relationship dynamics discussion with a processual view of the overall recovery process, including recovery sub-processes, paths and temporal outcomes in different types of relationships and takes into account the pre-transgression relationship.

The purpose of this paper is to examine the relationships between perceived justice and perceived corporate social responsibility (CSR) and the impact of perceived justice and CSR perceptions on customers’ behavioral responses, such as satisfaction and repatronage intention after service recovery. The authors also investigate the moderating role of service failure severity in the relationship between perceived justice and perceived CSR.

The data were collected using individually completed questionnaires. The proposed model was tested using structural equation modeling, and the moderation effects of failure severity in the relationship between perceived justice and perceived CSR were analyzed using stepwise multiple regression models.

The results suggest a path from satisfaction to CSR perceptions, which indicates that the link between CSR perceptions and satisfaction is reversed in the context of service recovery. The authors further reveal recovery satisfaction in two ways: It has a direct influence on repatronage intentions as well as an indirect influence via perceived CSR. Finally, the results demonstrate that the severity of a service failure intensifies the impact of distributive and procedural justice perceptions on perceived CSR, and perceived CSR serves as a partial mediator in the path from recovery satisfaction to repatronage intentions.

The results demonstrate that perceived justice of service recovery affects perceived CSR after a service failure and that the severity of a service failure moderates the impact of justice perceptions on perceived CSR. However, the possibility of intercausal relationships among distributive, procedural and interactional justice may need to be further explored in future research.

Given that the impact of distributive and procedural justice on CSR perceptions has become more critical as the severity of service failure increases, companies should prioritize allocating a fair amount of monetary compensation in a timely manner, particularly for those who experience a severe service failure.

The authors propose a model of perceived justice – perceived CSR – repatronage intentions within the service recovery context in an attempt to deepen the understanding of the antecedents of repatronage intention and the relationship between repatronage intention and recovery satisfaction following service recovery encounters by introducing perceived justice and CSR. Moreover, the authors discover the moderating effect of service failure severity on the relationship between justice perceptions and perceived CSR.

The purpose of this paper is to examine recovery through lived experience. It is part of a series that explores candid accounts of addiction and recovery to identify important components in the recovery process.

The G-CHIME model comprises six elements important to addiction recovery (growth, connectedness, hope, identity, meaning in life and empowerment). It provides a standard against which to consider addiction recovery, having been used in this series, as well as in the design of interventions that improve well-being and strengthen recovery. In this paper, a first-hand account is presented, followed by a semi-structured e-interview with the author of the account. Narrative analysis is used to explore the account and interview through the G-CHIME model.

This paper shows that addiction recovery is a remarkable process that can be effectively explained using the G-CHIME model. The significance of each component in the model is apparent from the account and e-interview presented.

Each account of recovery in this series is unique and, as yet, untold.

The study aims to co-create a “priority action roadmap for women's economic empowerment” based on women's top priorities to charting recovery directions. Doing so contributes to the growing body of knowledge on COVID-19 literature in at least four areas: assessing COVID-19 impacts on women entrepreneurs; mapping these impacts with four interdependent women's entrepreneurial ecosystem components; innovating a co-creation methodology based on remote participatory research; and providing a replicable model to perform action-oriented research in the context of COVID-19 impacts.

A co-creation methodology is proposed, combining systems-thinking and remote participatory research to engage women entrepreneurs and institutional stakeholders to prioritize impact, response actions and recovery needs in the wake of COVID-19. A ranking exercise using the analytic hierarchy process was used to derive ranking and assess user inputs' consistency.

The study exemplifies the integration of participatory methods and mathematical tool to engage stakeholders in prioritizing recovery work. PARWEE action items ranked by entrepreneurs and vetted by institutional stakeholders cover: access to finances, capacity building, health care, public and private partnership, marketing opportunities and formation of active advocacy groups to voice out women entrepreneurs' needs to institutional stakeholders. Results show a slight difference in the ranking of priority actions between experience owners and fresh starters.

This study innovated a new co-creation methodology for remotely engaging stakeholders of the women's entrepreneurial ecosystem, which is grounded in evidence and provides a replicable model for performing action-oriented research.

Peer support has gained increasing attention within the mental health literature, including the trauma informed approaches research where peer support is a key principle. The purpose of this paper is to outline a servant leadership model of trauma peer support.

A targeted literature search that incorporated systematic reviews, meta-analyses and randomised control trials in the areas of servant leadership, peer support and trauma informed approaches were sourced.

Servant leadership can be used to provide a theoretical model of trauma peer support. All three constructs share the idea of empowerment as a core principle. An ideographic model of servant leadership trauma peer support is put forward based on eight characteristics from the extant literature.

As with all conceptual papers, a lack of empirical data means the findings need to be investigated using primary data. Future research may wish to use this theoretical model to test effectiveness in equivalence studies.

A theoretical model of trauma informed peer support based on servant leadership theory, with a clear guide to its utilisation.

This is a novel approach, a new addition to the literature.

The COVID-19 has affected the whole world and forced countries to impose lockdowns and restrict travel and transportation. This was followed by different countries formulating different policies, and when transportation resumed, there were some restrictions. Such strategies forced transporters to rethink mode choice decision making for freight transportation. The purpose of this study is to identify and rank the factors affecting freight transport mode choice decisions considering the spread of COVID-19 outbreak.

Initially, the factors affecting the mode choice decisions for freight transportation amid the COVID-19 outbreak have been extracted from a literature survey and group discussion with experts. Further, this paper employs the integration of grey-Decision making trial and evaluation laboratory (DEMATEL) with fuzzy Best Worst Method to analyze the identified factors and their sub-factors. The model's robustness and feasibility were then tested using sensitivity analysis.

The findings of the study showed that Disaster Characteristics and Operations Factors are the most and least influential factors, respectively. Panic, Travel restrictions, Border restrictions, Severity, and Mortality rate are the top five ranked sub-factors. Panic, Compliance to Social distancing, and Passenger and Freight integration are among the new sub-factors proposed. In the current circumstances, these sub-factors are crucial and relevant. In addition, various recommendations are offered to improve transportation services while guaranteeing safety, such as promoting passenger and freight integration, lowering the panic level, developing dynamic rules based on region characteristics, and so on. The study's findings will help practitioners and politicians reformulate the existing transportation infrastructure in the event of disease outbreaks.

The demographic context of experts, is one of the study's limitations. Only experts from the Indian subcontinent were considered in this study. In addition, future study work can be based on a comparison of the outcomes from various Multi-Criteria Decision Making techniques.

The present research work differentiates itself through the analysis of mode choice factors considering the ongoing pandemic across the globe. The results emanated from the study can guide the concerned stakeholders to make better decisions.

The purpose of this paper is to provide, at a particularly significant point in its short history, an overview of a unique system of performance management to which all principal local authorities in England have been subject for the past three years.

Comprehensive performance assessment (CPA) is the controversial centrepiece of a system of performance measurement and improvement management that has involved the external classification of each individual local authority as Excellent, Good, Fair, Weak or Poor. It is a system that, as comparative data on the scale of local government demonstrate, could only be attempted in the UK. The article is written as a non‐technical and evaluative narrative of the introduction, early operation and impact of this system, concluding with the changes in methodology introduced to counter the phenomenon of too many of the nation's local authorities becoming officially too good for the existing measurement framework.

Key points that the article brings out concern the exceptional circumstances of UK local government that make such a performance management system even contemplatable, the improvement and recovery part of the regime, and the inherent implications of a system geared to providing regular statistical evidence of continuous performance improvement.

The originality lies in the CPA system itself, aspects of which at least will be of interest both to specialists in performance measurement and management and to those with an interest in decentralized government and intergovernmental relations.

This paper seeks to discuss the sustainability of the global economy.

The approach takes the form of a discursive narrative based on practitioner experience.

It was found that a sustainable economy can be encouraged by thinking in terms of green innovation.

The paper offers original insight into the direction of a major global technology corporation.

The purpose of this paper is to provide quantitative evidence of natural disasters’ (NDs) effect on corporate performance and studies the mechanisms through which the supply chain moderates and mediates the link.

Using two major NDs as quasi-experiment, namely the 2011 Japanese earthquake-tsunami (JET) and Thai flood (TF), and data over the period 2010Q1-2013Q4, effect of these events on end assemblers’ performance is studied, with a focus on the personal computer (PC) supply chain. The moderating influence of delivery and sourcing – as supply chain flexibility and agility – are examined through end assemblers’ and suppliers’ inventory. The suppliers’ mediating role is captured as disruption in obtaining PC components through their sales.

Only JET had any negative effect, further quantified as short-term and long-term. The TF instead portrays an insignificant but positive aftermath, which is construed as showing learning from experience and adaptability following JET. Inventory matters, but differently for the two events, and suppliers only exhibit a moderating influence on the assemblers’ disaster-performance link.

NDs, as catastrophic vulnerabilities, are distinct from other vulnerabilities in that they are hard to predict and have significant impact. Since little is known about the impact of NDs on firm performance and how supply chain mechanisms moderate or mediate their impact, they should be distinctly modelled and empirically studied from other vulnerabilities. This paper sheds light on supply chain resilience to such events with the role of dynamic capabilities.