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Applying the value creation of corporate social responsibility (CSR), this study aims to investigate the direct effect of preventive measures in the postpandemic world on Airbnb consumers’ attitudes toward the host, which may further impact their behavioral intentions. It also examined the mediating role of perceived risk and perceived motives, as well as the moderating role of message strategies and risk tolerance in this process.

A 2 (preventive measures: basic versus enhanced) × 2 (message strategies: promotional social cause message [PSC] versus partake-in-our-cause message [PIOC]) between-subjects factorial design was conducted with a sample of 476 US Airbnb consumers through an online survey. PROCESS macro was used for hypothesis testing.

Results demonstrated that enhanced preventive measures had more positive impact on Airbnb consumers’ attitudes toward the host, which was positively related to positive word of mouth and booking intention. Perceived risk and perceived motives mediated the relationship between preventive measures and attitude toward Airbnb hosts. Positive relationships between attitude toward the host and behavioral intentions were strengthened when PIOC was used than PSC. The negative relationship between preventive measures and perceived risk was enhanced when PIOC was used than PSC. Risk tolerance did not interact with messages strategy to impact the relationship between preventive measures and perceived risk.

The study uncovered the mechanisms by which consumers form their responses toward different safety information of Airbnb accommodations postpandemic and the role of message strategies in the process. It provided implications for the Airbnb platform and hosts in the postpandemic period.

The study investigated the strategic contribution of COVID-19 preventive measures in building corporate reputation in the hospitality industry when mediated with ethical branding.

The hypothesized model was developed and tested using a cross-sectional research design among 404 customers of hospitality organizations (i.e. hotels and restaurants). The collected data were analyzed quantitatively using structural equation modeling.

The results showed that COVID-19 preventive measures are important drivers in building or rebuilding corporate reputation during and after the COVID-19 pandemic. The study also showed that ethical branding acts as a mediator between COVID-19 preventive measures and corporate reputation.

The study used a nonprobability sampling technique, i.e. convenience sampling and a cross-sectional survey research design. It is therefore necessary to be careful when generalizing the findings.

The study recommends that managers in hospitality organizations should ensure proper and effective compliance with COVID-19 preventive measures during service delivery. Among others, the study highlighted areas for further study to include an investigation using a longitudinal approach to observe behavioral changes toward COVID-19 preventive measures and their consequences on the overall corporate reputation of the hospitality industry. This recommendation is based on the fact that, currently, new cases and mortality rates have decreased considerably. As a result, customers in the hospitality industry have started to have different opinions about complying with COVID-19 preventive measures.

The study is among new endeavors to investigate drivers that can rebuild and sustain the corporate reputation of hospitality organizations during a pandemic like COVID-19.

One of the main problems, when choosing between preventive or corrective maintenance for the production and maintenance departments in the eight firms studied, is to attempt to establish the state of a particular production system or individual production line. In order to carry out a cost analysis it is imperative to be able to measure how preventive maintenance will both reduce the deterioration of the state of the object and improve the state of the object at the point in time that the maintenance is carried out. This can be explained by the fact that the departments lack methods for measuring and estimating the effects. The model presented in this paper determines whether to schedule preventive maintenance and the model trades off the capital costs of preventive maintenance and the sum of corrective maintenance and down‐time costs based on the production line’s state.

Employment-related measures play a significant part in preventive and mitigative social policies. The importance of these actions is especially emphasised in times of crisis. This paper provides empirical insights into employment-related measures implemented in a sample of OECD countries as a response to the COVID-19 crisis in 2020. Furthermore, it addresses the continuity of the measures by July 2022.

The research applies and further develops a capability approach in the COVID-19 context to provide a theoretically informed empirical understanding of the implemented employment related measures.

The results indicate that countries expanded the coverage of previous preventive and mitigative employment measures horizontally and vertically while also introducing new schemes to protect workers. The main conclusions suggest that most employment-related measures (65.5%) were preventive aiming at saving jobs and broadening peoples capabilities with bridging measures during the crisis. The employment measures served first as an emergency aid. However, most measures were recalibrated and changed incrementally toward 2022.

The data consisted major employment-related measures and changes in social policies the studied countries. The authors focussed the examination on governmental-level measures. Thus, sub-national or sector-specific responses, for example tripartite agreements in certain employment sectors or social transfers in certain areas, were excluded.

The way in which welfare states reacted to employment problems during the COVID-19 pandemic may have an impact on how governments approach social policies in the future. The capability approach exhibits a pronounced strength by facilitating the establishment of sustainable trajectories for social policy and welfare services.

The capability approach embracing the preactive and proactive role of social policies lends a unique perspective on public policies.

During the coronavirus disease 2019 (COVID-19) pandemic, ubiquitous social media has become a primary channel for information dissemination, social interactions and recreational activities. However, it remains unclear how social media usage influences nonpharmaceutical preventive behavior of individuals in response to the pandemic. This paper aims to explore the impacts of social media on COVID-19 preventive behaviors based on the theoretical lens of empowerment.

In this paper, survey data has been collected from 739 social media users in China to conduct structural equation modeling (SEM) analysis.

The results indicate that social media empowers individuals in terms of knowledge seeking, knowledge sharing, socializing and entertainment to promote preventive behaviors at the individual level by increasing each person's perception of collective efficacy and social cohesion. Meanwhile, social cohesion negatively impacts the relationship between collective efficacy and individual preventive behavior.

This study provides insights regarding the role of social media in crisis response and examines the role of collective beliefs in the influencing mechanism of social media. The results presented herein can be used to guide government agencies seeking to control the COVID-19 pandemic.

The purpose of this paper is to explore whether or not a preventive replacement model always gives a solution with a specified preventive effect and looks at the relationship between the preventive effect and cost saving.

The age and block replacement policies with the Weibull failure distribution are considered. Measures of the preventive effect associated with specific maintenance policies are derived.

The sufficient condition to achieve a given preventive effect is represented graphically as a function of the system's aging intensity and the cost ratio of failure and preventive replacements.

The models developed in the paper will help maintenance engineers to know whether a system is aged or not and then they can make a decision on replacement.

The optimal replacement models considered in this paper give a solution with a good preventive effect only if the maintained system is sufficiently aged. The criterion whether or not the system is sufficiently aged is set by the decision‐maker based on specific maintenance situations or maintenance objectives.

This research attempts to understand how individuals prevent themselves from exposure to COVID-19 when dining out at a restaurant and what situational factors shaping their COVID-19 preventive behavior (CPB) are. It collects 303 questionnaires responded by restaurant patrons in the United Arab Emirates. The resultant data reveals the ranks of the relative importance among the five CPBs proposed by this study that wearing a mask is considered the most critical CPB. In contrast, wearing gloves is the least desirable CPB. Concerning five health-risk factors under investigation, there is no difference in CPB between the vaccinated and non-vaccinated. People suffering from issues with their immune system show a significant inclination to stress social distancing compared to those without any immune issues. Those having an inflected family member are apt to wear gloves. Further, individuals bearing risk factors concerning chronic illness, an immune problem, and an infected family member are inclined to wash their hands and wear gloves. Lastly, this research finds six situational factors affecting an individual's CPB.

Despite the established relationship between the public's trust in government and their adoption of preventive behaviour, lesser is known about the underlying mechanism that explains trust in government—preventive behaviour nexus. This study adopted the health belief model to propose five types of health perceptions as a mediator between trust in government and the public's voluntary adoption of recommended preventions for COVID-19.

To collect primary quantitative data, a web survey was conducted using snowball sampling from Malaysia (N = 343) and Pakistan (N = 321). Measures were adopted from the existing studies. Structural equation modelling-partial least square through SmartPLS was used to analyse the proposed framework and hypotheses testing.

Results revealed that trust is a significant predictor of perceived barriers, benefits and self-efficacy in both countries. Mediation analysis indicated that perceived benefits and self-efficacy to be mediators in both samples. In the Pakistani sample, perceived barriers were also a mediator. Importance-performance analysis showed that the Malaysian public has a greater trust in their government to tackle the pandemic issue, while the trust was a relatively more important predictor of voluntary precautionary behaviour in Pakistan. A full mediation model depicted that coping health belief are an imperative link between trust and prevention.

Although developing the public's trust is related to good governance and public opinion, during a health crisis, authorities can effectively utilize the communication media and design interventions to influence health appraisals leading to higher adoption of prevention.

The purpose of this paper is to assess the relationship between patient satisfaction and a variety of clinical quality measures in an ambulatory setting to determine if there is significant overlap between patient satisfaction and clinical quality or if they are separate domains of overall physician quality. Assessing this relationship will help to determine whether there is congruence between different types of clinical quality performance and patient satisfaction and therefore provide insight to appropriate financial structures for physicians.

Ordered probit regression analysis is conducted with overall rating of physician from patient satisfaction responses to the Clinician and Groups Consumer Assessment of Healthcare Providers and Systems survey as the dependent variable. Physician clinical quality is measured across five composite groups based on 26 Healthcare Effectiveness Data and Information Set (HEDIS) measures aggregated from patient electronic health records. Physician and patient demographic variables are also included in the model.

Better physician performance on HEDIS measures are correlated with increases in patient satisfaction for three composite measures: antibiotics, generics, and vaccination; it has no relationship for chronic conditions and is correlated with decrease in patient satisfaction for preventative measures, although the negative relationship for preventative measures is not robust in sensitivity analysis. In addition, younger physicians and male physicians have higher satisfaction scores even with the HEDIS quality measures in the regression.

There are four primary limitations to this study. First, the data for the study come from a single hospital provider organization. Second, the survey response rate for the satisfaction measure is low. Third, the physician clinical quality measure is the percent of the physician’s relevant patient population that met the HEDIS measure rather than if the measure was met for the individual patient. Finally, it is not possible to distinguish if the significant coefficient estimates on the physician age and gender variables are capturing systematic differences in physician behavior or capturing patient bias.

The results suggest patient satisfaction and physician clinical quality may be complementary, capturing similar aspects of overall physician quality, across some clinical quality measures but for other measures satisfaction and clinical quality are unrelated or negatively related. Therefore, for some clinical quality metrics, it will be important to separately compensate clinical quality and satisfaction and understand the relationship between metrics. Finally, the strong relationship between the level of patient satisfaction and physician age, physician gender, and patient age are important to consider when designing a physician compensation package based on patient satisfaction; if these differences reflect patient bias they could increase inequality among medical staff if compensation is based on patient satisfaction.

This study is the first to use physician organization data to examine patient satisfaction and physician performance on a variety of HEDIS quality metrics.

The purpose of this paper is to develop a simple deterministic model that quantifies previously adopted preventive measures driven by the trend of the reported number of deaths in both Italy and India. In addition, the authors forecast the spread based on some selected quantified preventive measures. The optimal exiting policy is derived using the inverse dynamics of the model. Furthermore, the model developed by the authors is dependent on the daily number of deaths; as such, it is sensitive to the death rate but remains insensitive to trends in deaths.

In the wake of COVID-19, policymakers and health professionals realized the limitations and shortcomings of current healthcare systems and pandemic response policies. The need to revise global and national pandemic response mechanisms has been thrust into the public spotlight. To this end, the authors devise an approach to identify the most suitable governmental non-pharmaceutical intervention (NPI) policies, previously adopted in a community, country or region that serve as the foundation for most pandemic strategies.

Leveraging Italy, the authors compare the aftermath by considering three scenarios: (a) recently adopted preventive measures, (b) strictest preventive measures previously adopted, and (c) the optimal exiting policy. In comparison to the second scenario, the authors estimate about twice the number of recoveries and deaths within five months under the first scenario and about 80 times more under the optimal scenario. Whereas in India, the authors applied one scenario of recently adopted preventative measures to showcase the rapid turnaround of their model. According to the new timeline, almost 90% of all deaths in India could have been prevented if the policies implemented in April 2021 were put in place three months prior, i.e. in January 2021.

The novelty of the proposed approach is in the use of inverse dynamics of a simple deterministic model that allows capturing the trend of contact rate as a function of adopted NPIs, regardless of pandemic type.