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The purpose of this article is to offer new insights into crisis communication in service ecosystems. The authors present a framework to conceptually categorize service crises and then analyze key aspects of crisis communication among different stakeholders in a service ecosystem.

Building on crisis communication and service ecosystems research, we propose a framework to better understand crisis communication during service crises in service ecosystems. In doing so, we propose a typology of service crisis in service ecosystems and identify the main factors of crisis communication under the lens of the Rhetorical Arena Theory (RAT).

This article integrates communication theory and service research in the area and identifies different key dimensions to gain a deeper understanding of crisis communication in service ecosystems. Moreover, and building on RAT, several research lines are recommended in order to explore further macro (i.e. the role and interactions between different stakeholders in the event of a crisis) and micro (i.e. individual aspects related to the context, media, genre and text) dimensions, and their importance during the communication process.

Our framework offers a typology of service crises and suggests the importance of considering a multi-actor, multi-channel perspective in communication when a crisis occurs in order to monitor and avoid the potential negative impact for both the organization's recovery and the service ecosystem evolution afterward.

During a crisis situation, a poultry supply chain is faced with high variations on fresh chicken meat demand and has therefore to simultaneously manage excessive shelf-life stocks (in case of falling demand) and external purchases due to inventory shortages. In this case, the production plan is often established according to non-accurate sale forecasts which require ongoing adjustment. The paper aims to discuss these issues.

By using system dynamics, the paper developed a model of the French poultry supply chain during a given avian influenza crisis period. The authors compared exponential smoothing forecasting method to a word-of-mouth diffusion model which makes sense in a sanitary crisis context.

An interesting result shows a complex relationship between the sanitary risk (which increases according to the slaughtered chicken's volume and storage time) and the additional external purchases (in case of low production generated by an insufficient forecasting launched 40 days before customer orders).

Additional costs which vary over time are required for further assumptions testing.

The paper proposes to use a forecasting model which is not currently used by the professionals during a sanitary crisis period. This model is able to simulate an internal dissemination of a call for boycott of meat products (cf. negative word-of-mouth spread).

The problem is how to maintain a less risky but significant buffer size to respond to a supply chain coping with both changes in customers’ demand and instability in production capacity.

The purpose of this paper is to study the behaviour of a food supply chain possessing two originalities, i.e. a singular structure (40‐day upstream push and 24‐hour downstream pull) and one that suffers from simultaneous fluctuations in raw material supply capacities (due to epizooty) and customer demand (due to customer anxieties and fears) caused by a sanitary crisis.

A simulation model based on the system dynamics principles of Forrester is developed and applied to the French chicken meat supply chain suffering an Avian Influenza crisis.

This model first enables one us to study the regulation mechanisms of the chain that will improve understanding of the supply chain behaviour under environmental perturbations. A what‐if analysis is then implemented to examine the supply chain stability and the influence of flexibility adjustment times, inventory coverage time, slaughtered chicken buffer size and smoothing policies on the supply chain performance in different crisis fluctuation rate scenarios in order to propose necessary logistic policy enhancements.

This work will improve one's knowledge about the buffer inventory problem and the global stability of this multi‐echelon push‐pull supply chain.

The model can be used as a decision system support which aims to minimise the additional costs due to stock level increases as demand decreases as well as exceptional external purchasing sparked by the lack of available products when there is a sudden hike in demand. The research can help decision‐makers of fresh food push‐pull supply chains when they are facing such crises by using both cybernetic representation and computer simulation.

This study deals with a specific food supply chain within the context of a sanitary crisis. A system dynamics model is presented for studying the behaviour of the entire food supply chain threatened by high uncertainties in the supply capacity as well as in customer demand.

The purpose of this study is to investigate the impact of government policies adopted by the Tunisian government to cope with the COVID-19 sanitary crisis on stock market return.

The author uses daily data from March 2, 2020, to July 23, 2021.

The author finds that policies interventions have a negative impact on Tunisia's stock market, particularly stock market returns due to stringency, confinement and health measures. Also, Government announcements regarding economic has a negative impact on Tunisia's stock market but this impact is insignificant. By conducting an additional analysis, the author shows that the government interventions policies amplify the negative effect of COVID-19 on stock returns.

These results will be useful for policy authorities seeking to consider the advantages and drawbacks of government measures. Finally, a legislative proposal about the audit of public debt should be included in the Constitution to spur Tunisia's economic and social recovery.

This study contributes to the related literature in two ways: First, it is the first study to examine the impact of government actions on stock market performance. Second, it bridges a gap in the literature by investigating the case of Tunisia, because most studies focus on developed and emerging economies.

This study aims to confirm the expected impact of coronavirus (COVID-19) related to perceived travel risk on the likelihood of tourists to visit a destination. It then aims at identifying the key predictors of perceived travel risk in the aftermath of the COVID-19 pandemic. A theoretically grounded framework is proposed which can be further improved to understand and predict international travel behaviours within the context of global pandemics.

A mixed-methods design is adopted. In the first phase referred to as Study 1, a cross-sectional design is used based on a sample of 217 international outgoing tourists surveyed at the Mauritian International Airport and data is analysed using hierarchical regression. In Phase 2, referred to as Study 2, a purposive sample of tourists around the world are interviewed and data is analysed using the thematic analysis technique.

The results show that amongst those tourists who are willing to travel in the aftermath of the COVID-19 crisis, the related perceived risk is likely to influence their travelling intention. Several key predictors of perceived travel risks are uncovered, those are categorised as COVID-19 status; transportation services; national sanitary measures; health-care services; accommodation services; ecotourism facilities. Moreover, the potential effects of those factors on perceived COVID-19 related travel risk are likely to be moderated by the trustworthiness of the information.

The implications of the study are important for researchers and policymakers to better understand and predict travellers’ behaviour in times of pandemics. These implications are also important to tourism marketers and transport and hospitality service providers to more effectively manage and mitigate the effect of such events.

The study provides an original comprehensive model grounded in the social cognitive theory and protection motivation theory to understand the predictors of perceived travel risks in relation to COVID-19 at a destination.

本文采用了混合的研究方法设计。在研究1的第一阶段中, 本文采用了横向比较研究设计, 对在毛里求斯国际机场进行调查收集的217名国际出境游客样本, 使用分层回归分析了数据。在第二阶段（研究2）中, 采用了立意取样的抽样方法, 采访了来自世界各地的旅游者, 并使用主题分析技术对数据进行了分析。

这项研究证实了与COVID-19相关的感知旅行风险对游客访问目的地的可能性的预期影响。然后, 它旨在确定COVID-19大流行后感知的旅行风险的关键影响因子。

结果表明, 在COVID-19危机之后愿意旅行的那些游客中, 相关的感知风险很可能会影响他们的旅行意图。感知的旅行风险的几个关键影响因素分为：COVID-19状况; 运输服务; 国家卫生措施; 医疗服务; 住宿服务; 生态旅游设施。而且, 这些因素对与COVID-19相关的感知旅行风险的潜在影响可能会受到信息的可信度的调节影响。

该研究对于研究人员和决策者更好地了解和预测大流行期间旅客的行为, 以及旅游营销人员以及运输和酒店服务供应商提供有效管理和减轻此类事件的影响具有重要意义。

该研究提供了一个原创且全面的模型, 以了解与目的地COVID-19相关的感知旅行风险的影响因素。

Se adopta un diseño de métodos mixtos. En la primera fase, denominada estudio 1, se adopta un diseño transversal basado en una muestra de 217 turistas internacionales encuestados salientes del Aeropuerto Internacional de Mauricio y los datos se analizan mediante regresión jerárquica. En la segunda fase, denominada estudio 2, se entrevista a una muestra intencional de turistas de todo el mundo y se analizan los datos mediante la técnica de análisis temático.

Este estudio confirma empíricamente el impacto esperado de la percepción del riesgo de viaje relacionado con COVID-19 sobre la probabilidad de que los turistas visiten un destino. A continuación, tiene por objeto identificar los principales factores de predicción del riesgo percibido de los viajes tras la pandemia de COVID-19.

Los resultados muestran que entre los turistas que están dispuestos a viajar tras la crisis de COVID-19, es probable que el riesgo percibido relacionado influya en su intención de viaje. Se han descubierto varios predictores clave de los riesgos percibidos de los viajes, que se clasifican como: Situación de COVID-19; servicios de transporte; medidas sanitarias nacionales; servicios de salud; servicios de alojamiento; instalaciones de ecoturismo. Además, es probable que los posibles efectos de esos factores en la percepción de los riesgos de viaje relacionados con COVID-19 se vean moderados por la fiabilidad de la información.

Las repercusiones del estudio son importantes para que los investigadores y los encargados de formular políticas comprendan y prevean mejor el comportamiento de los viajeros en épocas de pandemia y también para que el mercado turístico y los proveedores de servicios de transporte y hostelería gestionen y mitiguen más eficazmente el efecto de esos acontecimientos.

El estudio proporciona un modelo original y completo para comprender los predictores de los riesgos percibidos en los viajes en relación con COVID-19 en un destino.

The purpose of this research is to study the impact of talent management practices on organizational resilience in Tunisian firms in times of the sanitary crises due to COVID-19.

A hypothetico-deductive approach is adopted. First, it is hypothesized that four talent management practices positively affect organizational resilience. Then, the hypotheses were tested by using quantitative methods. Data were collected through questionnaires and analyzed with PLS-SEM techniques.

Results show that talent identification positively affects organizational resilience operationalized through the three dimensions of agility, integrity and robustness. Talent development and talent succession planning positively influence the firms' agility only, whilst talent retention had no effect on the three organizational resilience dimensions.

The findings of this research may be helpful for human resources managers to recognize among talent management practices those that are mostly associated with organizational resilience and its dimensions. This could help them revise some talent management practices and implement those that are lacking to ensure strong and resilient firms, especially in a context characterized by the occurrence of crises of different natures.

The literature review showed that talent management practices and organizational resilience relationships are understudied. This research empirically highlights the relevance of the linkage between them. It contributes to the rare existent works by identifying a significant effect of talent identification on all organizational resilience dimensions and a positive effect of talent development and succession planning on agility.

The goal of this paper is to develop a classification of traceability systems that will help academics and policymakers think of them as a tool for differentiation in agri-food value chains.

Based on the analysis of case studies and a literature review, the authors develop a conceptual framework to classify traceability systems based on two dimensions: their scope in the value chain (individual vs integrated) and the type of information they contain (basic vs advanced).

Integrated traceability systems provide a variety of benefits vis-à-vis individual systems as a tool to achieve greater product differentiation by meeting current and latent requirements from foreign countries' governments and consumers. Also they serve as a platform for including advanced (vis-à-vis basic) information into the system.

A series of studies would be required to quantify the relative costs of different traceability systems and compare them on a cost-benefit basis. Nevertheless, since integrated traceability systems are subject to coordination failures, significant public focus and efforts should be placed on the potential promotion of those systems.

This paper provides a novel classification of traceability systems that distinguishes them according to scope and information content.

This study aims to understand customer’s assessments of neighborhood stores during the COVID-19 pandemic through the influence of in-store environmental factors on patronage intention.

Online survey with 528 participants about the last shopping trip in neighborhood retail. The authors performed data analysis using structural equation modeling techniques.

High-perceived spatial crowding negatively influences shopping experience value perceptions, while human crowding influences patronage intentions through increased perceived hedonic value.

Results suggest that purchase experience at well-known neighborhood stores during a sanitary crisis is becoming less convenience-oriented and a substitute for leisure activities due to social distancing.

The findings elucidate the social function of neighborhood convenience retailing during the COVID-19 pandemic. The results emphasize that a pleasant shopping experience arising from a good relationship with shopkeepers and other customers is more influential on patronage intention than a good product assortment and store layout.

This paper contributes to the survival of small neighborhood businesses during the financial crisis installed due to Covid-19 by helping businesses become more attractive to their consumers and competitive in the new context.

The combined context of the health crisis due to COVID-19 and neighborhood retail of an emerging country raises the need for tests to better understand established marketing theories. Based on this rationale, this work intends to replicate and extend selected previous findings to the new environment dictated by the pandemic.

Using self-determination theory and individual social responsibility’s (ISRs) association with pure social entrepreneurship, this study aims to answer the following question: How and why have the different actors responded to the crisis caused by the pandemic?

Qualitative research (multiple case studies) was adopted, resorting to interviewees with seven economic and non-economic actors in the Portugal context.

The results obtained, using MAXQDA software, show that those carrying out actions of social responsibility have a high degree of self-determination and intrinsic motivation, and are true social entrepreneurs, which lets them improve the well-being of those around them. In addition, these individuals feel good about themselves by performing these actions, as they measure their performance by the social impact of their actions on society in general.

This study suggest there is a high awareness amongst people to exercise that responsibility in a voluntary way, through humanitarian initiatives and campaigns brought about especially by an unprecedented pandemic. In practice, people joining these initiatives motivate many others towards the causes, creating the will to continue in the future and satisfy unmet needs provoked by social crises.

This study is innovative because it is related to filling the gaps identified, mainly by carrying out an empirical study about ISR, rather than that of firms, where studies are more common.

This paper examines the time-varying return connectedness between renewable energy, oil, precious metals, the Gulf Council Cooperation region and the United States stock markets during two successive crises: the pandemic Covid-19 and the 2022 Russo-Ukrainian war. The main objective is to investigate the effect of the Covid-19 pandemic and the Russo-Ukrainian war on the connectedness between the considered stock markets.

This paper uses the time-varying parameter vector autoregression approach, which represents an extension of the Spillover approach (Diebold and Yilmaz, 2009, 2012, 2014), to examine the time-varying connectedness among stock markets.

This paper reflects the effect of the two crises on the stock markets in terms of shock transmission degree. We find that the United States and renewable energy stock markets are the main net emitters of shocks during the global period and not just during the two considered crises sub-periods. Oil stock market is both an emitter and a receiver of shocks against Gulf Council Cooperation region and United States markets during the full sample period, which may be due to price fluctuation especially during the two crises sub-periods, which suggests that the future is for renewable energy.

This paper examines the effect of the two recent and successive crises, the Covid-19 pandemic and the 2022 Russo-Ukrainian war, on the connectedness among traditional stock markets (the United States and Gulf Council Cooperation region) and commodities stock markets (renewable energy, oil and precious metals).