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This study draws on insights from the theory of conservation of resources to explore the impact of servant leadership (SL), creative adaptability (CA), and psychological well-being (PWB) on the service recovery performance (SRP) of employees. More specifically, the objective of this study is twofold: one to ascertain whether employees' service recovery performance would increase significantly after their exposure to SL, and two, to determine whether CA and PWB serially mediate the link between SL and SRP.

To analyze the data collected from a sample of 371 air service providers’ front-line employees (FLEs), partial least squares structural equation modeling (PLS-SEM) was performed.

The result indicated that SL was positively related to SRP. Likewise, the results of the serial mediation analysis showed that CA and PWB independently and serially mediated the SL-SRP relationship. This study makes significant contributions to the literature on SL and SRP.

This study adds to the growing body of research on how FLEs effectively deal with customers who are dissatisfied with their service failure experiences. Specifically, this research expands on previous results by proving the favorable effect of leadership style on FLE’s service recovery performance. In addition, the current study examines how effective service recovery is by assessing the employee’s resources based on COR theory. Finally, this research provides new insight into the influence of SL on SRP through the serial mediation of CA and FLE’s well-being.

Configuring strategies to ensure a health service provider’s resilience when extreme disruptions occur is not simple. Optimal configuration in such circumstances is rare. Therefore, this research has relied on the dynamic capability view (DCV) to develop a decision-support framework for configuring resilience strategies that will mitigate the worst challenges and improve the performance of health service providers during “extreme” disruptive events.

The research adopted a multi-study, multi-method approach comprising interviews, quality function deployment (QFD), and fuzzy set qualitative comparative analysis (fsQCA).

The findings reveal that, during a crisis, standalone resilience strategies are not enough. To guarantee performance, healthcare services require a combination of resilience strategies and a negation of challenges.

This research extends our current knowledge of healthcare operational management by offering optimal configurations of resilience strategies to manage performance during extreme disruptions. Thus, it offers strategic insights into how health-service managers can be more resilient during a crisis.

Drawing on the conservation of resources theory and attachment theory, this paper proposes that employee–organization relationship and satisfaction with work–life balance mediate the influence of workplace attachment on service recovery performance.

Data collection was carried out through the distribution of questionnaires among a sample of healthcare providers from Lebanese private hospitals and analyzed via structural equation modeling.

The results indicate that workplace attachment has a significant impact on employee–organization relationship, satisfaction with work–life balance and service recovery performance. The findings further reveal that employee–organization relationship and satisfaction with work–life balance significantly influence service recovery performance and fully mediate the relationship between workplace attachment and service recovery performance.

This study is the first to investigate the mediating role of the employee–organization relationship and satisfaction with work–life balance between workplace attachment and service recovery performance. Over and above, this study is the first of its kind that the authors are aware of, being conducted in the healthcare sector, specifically in Lebanon. Based on the findings, the paper discusses the theoretical contributions, managerial implications and suggestions for further studies.

In the backdrop of an increase in market-based banking activities, this paper aims to study operational efficiency of Indian banking sector during 2009–2010 through 2017–2018 considering Capital Gain and Gain from Forex Market (as desirable outputs) and Slippage (as undesirable byproducts) simultaneously, along with Advances – a desirable output considered in the traditional banking performance assessment literature. This enables to have an assessment of performance (as captured by the measured efficiency scores) of Indian Banks following an alternative viewpoint about the banking activities. The authors also explain such efficiency scores in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

Using data envelopment analysis (DEA) method, the authors estimate six alternatives but interlinked operational efficiency scores (TES) of the Indian domestic commercial banks. In the second stage, they explain such TES in terms of bank-specific factors, banking industry competition scenario and interest rate channel.

The authors observe that the private sector banks as a group outperform those under public ownership. Moreover, although the private sector banks could maintain somewhat consistency in their operational efficiency performance over the sample period, public sector banks clearly show a declining tendency. The second stage econometric estimation results show that the priority sector lending has a negative effect on efficiency. Interestingly, the authors get varying results for the relationship between maturity and efficiency score depending on banks’ strategies on stressed assets management. Furthermore, the analyses result that banks are not so efficient in managing relatively larger-volume loans. It is also observed that banks’ efficiency positively depends on the Credit-to-Deposit (CD) ratio. It is found that the overall operational efficiency of the banks to manage their credit risk portfolio improves with a reduction in the lending rate (LR). However, the interaction of lending activities and capital market shows that with the increase in LR, corporate borrowers may switch to capital market to explore for desired funds, which may induce the banking sector to investment in capital markets and create a positive market sentiment.

Literature, although scanty, is there dealing stressed assets of a bank as some undesirable byproducts of its operational and business activities. However, such literature mostly done within the traditional framework of banking business activities and modern market-based business activities are almost absent in the literature. The authors have done it in the present study.

While many studies have focused on the effectiveness of service recovery after encountering service failure, few have considered for pre-recovery opportunities. Drawing on service guarantee research and the inoculation theory, this study examines the effect of pre-recovery strategy on customer’s satisfaction when faced with possible service failure. This study takes into consideration the uncertainty of service failure, including specific or unpredicted failures.

Three experimental studies were conducted to examine our research hypotheses, which include a total of 1203 subjects recruited from online and offline platforms.

The findings reveal that service guarantees and inoculation messages both effectively mitigate the negative consequences of a service failure. Specifically, the pre-recovery strategy is particularly effective for specific service failures. In addition, we thoroughly examined the mediating role of customer attribution.

This research significantly contributes to the existing literature on service research by delving into the potential positive impact of proactive measures undertaken by service enterprises. Furthermore, the findings of this research offer valuable insights for practitioners.

This study aims to develop and test a model of the antecedents, mediators and consequences of the glass cliff phenomenon through public sector service organizations in Iran to explore more insights on gender inequality in managerial positions.

The current research was conducted based on a mixed-method approach, using both qualitative and quantitative research designs. First, the qualitative method includes content analysis by conducting semi-structured interviews with 20 university professors and expert managers working in public sector service organizations in Iran. The outcomes of the qualitative phase lead to designing the conceptual framework and research hypothesis. Then, through a quantitative phase, 384 female managers working in public sector service organizations in Iran are selected using stratified random sampling and fill out the research questionnaire. The exploratory factor analysis was used to verify the model. Moreover, structural equation modeling, using AMOS 24, was used to test the research hypothesis.

The findings of the qualitative phase were represented in three categories including antecedents (e.g. the characteristics of women’s leadership, the selection of women based on meritocracy criteria, women’s preferences and organizational factors), mediation effect (e.g. succession planning, personal development planning and support networks) and consequences of the glass cliff phenomenon (e.g. positive and negative consequences). The results of the exploratory factor analysis show there are ten components, explaining 88.5% of variances. Moreover, the test of the structural model supports the direct effect of antecedents on the glass cliff phenomenon. The results also show the effect of the glass cliff phenomenon on consequences through mediation effects.

There are some limitations that can be addressed by other researchers. Accordingly, the limited number of female managers in Iran prevented larger quantitative research. Moreover, the current research only found casual and mediation consequences of the glass cliff phenomenon, and potential moderators were not considered in this study.

The present study’s innovations may include using a mixed-method approach to investigate the antecedents, mediators and consequences of the glass cliff phenomenon in this study and examining the model constructs in some public sector service organizations. This research may provide a deep understanding of the antecedents, mediators and consequences of the glass cliff phenomenon by finding new factors using a mixed-method approach.

The COVID-19 pandemic severely impacted tourism, and the hotel and restaurant industry was the most affected sector, which faced issues related to business uncertainty and unemployment during the crisis. The analysis of recovery time and the influence factors is significant to support policymakers in developing an effective response and mitigating the risks associated with the tourism crisis. This study aims to investigate numerous factors affecting the recovery time of the hotel and restaurant sector after the COVID-19 crisis by using survival analysis.

This study uses the quarterly value added with the observation time from quarter 1 in 2020 to quarter 1 in 2023 to measure the recovery status. The recovery time refers to the number of quarters needed for the hotel and restaurant sector to get value added equal to or exceed the value added before the crisis. This study applies survival models, including lognormal regression, Weibull regression, and Cox regression, to investigate the effect of numerous factors on the hazard ratio of recovery time of hotels and restaurants after the COVID-19 crisis. This model accommodates all cases, including “recovered” and “not recovered yet” areas.

The empirical findings represented that the Cox regression model stratified by the area type fit the data well. The priority tourism areas had a longer recovery time than the non-priority areas, but they had a higher probability of recovery from a crisis of the same magnitude. The size of the regional gross domestic product, decentralization funds, multiplier effect, recovery time of transportation, and recovery time of the service sector had a significant impact on the probability of recovery.

This study contributes to the literature by examining the recovery time of the hotel and restaurant sector across Indonesian provinces after the COVID-19 crisis. Employing survival analysis, this study identifies the pivotal factors affecting the probability of recovery. Moreover, this study stands as a pioneer in investigating the multiplier effect of the regional tourism and its impact on the speed of recovery.

This article investigates how the healthcare sector can reorganize its procurement network to better balance its resilience and cost-minimization objectives.

A single case study was conducted on the procurement of personal protective equipment (PPE) during the first COVID-19 pandemic wave in the Quebec public healthcare network. Interviews were conducted with stakeholders from the supply chain management (SCM) departments at eight public healthcare institutions.

Two major challenges in the early months of the pandemic impacted the development of resilience in the healthcare network. First, peripheral actors’ decisions, which orient procurement objectives, limited the deployment of resilience measures in the supply chain (SC). Second, SC resilience included hundreds of products other than PPE that are critical to the delivery of care. The article illustrates the challenges of SCR, which will inevitably be accompanied by additional costs when purchasing in the public healthcare sector is often focused on the lowest price.

Drawing from the network perspective model, this article examines the actions of Quebec supply network stakeholders through the three phases of SCR: anticipation, response to disruption, and recovery. Finally, the article suggests that decision-makers remove the cost of resilience measures from the purchase price of products, in order to maintain these measures over the long term.

This study aims to determine the factors that influence the actual behavior of Islamic digital banking customers based on the users’ perspectives during the recovery from the COVID-19 pandemic crisis.

This study used a causal exploratory method with quantitative and qualitative approaches presented in two parts. The first study (Study 1) was empirical testing of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) used WARP-partial least square by modifying the variables of customer trust and satisfaction. A. Hayes’s PROCESS procedures were applied to examine the moderating effects of age, gender and experience. The second study (Study 2) explored the obstacles and solutions to improve digital banking services. The survey was conducted on 897 Islamic bank customers throughout Indonesia.

The results showed that all the hypotheses about the direct effect of the modification of the UTAUT2 model were supported empirically except for the effect of price value and hedonic motivation on behavioral intention, and there was just one moderating effect in this study. The other results show that 35 factors became obstacles to using digital banking.

This study had limited qualitative data collection techniques that were less deep and comprehensive. This happened because respondents were given complete confidence to fill in the open questions without any follow-up to customer answers. For further research, an in-depth interview method can be added to crucial information from the customer and expert side to get in-depth and complementary data regarding constraints and solutions. This study only used a sample of customers of Islamic banks; further research is expected to use customers of Islamic banks and conventional banks to compare their preferences for digital banking.

This study offered seven strategies that could encourage increased digital banking transactions to accelerate crisis management, mitigate cybercrime and communicate the positive impact of digital banking effectively and efficiently.

This study offered seven strategies that could encourage increased transactions using digital banking to accelerate crisis management, mitigate cybercrime and communicate the positive impact of digital banking effectively and efficiently.

Most of the existing studies focused on the modification model of the UTAUT2 model. The study is unique because it has proposed the obstacle and solution to improve digital banking service in Islamic Bank in Indonesia.

This study aims to offer an overview of hospitality and tourism research on artificial intelligence (AI) and its impact on the industry. More specifically, this study examines hospitality and tourism AI research trends in hospitality and tourism customer service experience creation and delivery, service failure and recovery, human resources and organizational behavior. Based on the review, this study identifies the challenges and opportunities and provides directions for future studies.

A narrative synthesis approach was used to review the hospitality and tourism research on AI and its impact on various aspects of the industry.

AI and AI applications in customer service experience creation and delivery and its possible effects on employees and organizations are viewed as a double-edged sword. Although the use of AI and AI applications offers various benefits, there are also serious concerns over the ethical use of AI, the replacement of human employees by AI-powered devices, discomfort among customers and employees and trust toward AI.

The paper offers an updated holistic overview of AI and its implications in different facets of the hospitality and tourism industry. Challenges and opportunities are discussed to foster future discussions on the use of AI among scholars and industry professionals.