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Drawing on protection motivation theory (PMT) and expectancy theory, this study aims to investigate consumers’ lodging consumption intentions during a pandemic crisis.

The research survey was conducted during the ongoing COVID-19 pandemic (August, 2020) in the USA to investigate consumers’ lodging intentions amidst the pandemic crisis. PLS-SEM and multiple regression were conducted to explore answers to proposed research questions.

The research finds that, during the pandemic crisis, consumers’ lodging consumption intentions are subject to both their internal protection motivation evaluations and the external prevention practices implemented by the lodging facilities regardless of property types and travel purposes. Notably, the research finds that consumers are willing to make efforts and pay extra for a safe stay at lodging facilities.

This research contributes to the literature regarding the applications of PMT and expectancy theory from a crisis management perspective, and it provides implications and guidelines to the crisis management practices in the lodging industry.

The current research examines the specific protection motivation appraisal factors and prevention practices significantly impacting consumers’ decisions in terms of willingness to stay at various lodging facilities (hotels and non-hotel homestay/short-term rental properties) for different purposes (business and leisure) and to pay premiums for a safe stay.

The COVID-19 pandemic has generated unprecedented public fear, impeding both individuals’ social life and the travel industry as a whole. China was one of the first major countries to experience the COVID-19 outbreaks and recovery from the pandemic. The demand for outings is increasing in the post-COVID-19 world, leading to the recovery of the ride-sharing industry. Integrating protection motivation theory and the theory of reasoned action, this study aims to investigate ride-sharing customers’ self-protection motivation to provide anti-pandemic measures and promote the resilience of ride-sharing industry.

This study followed a two-phase mixed-methods design. In the first phase, the authors executed a qualitative study with 30 interviews. In the second phase, the authors used the results of the interviews to inform the design of a survey, with which 272 responses were collected. Both studies were conducted in China.

The present results indicate that customers’ perceived vulnerability of COVID-19 and perceived COVID protection efficacy (self-efficacy and response efficacy) are positively correlated with their attitude toward self-protection, thus leading to their self-protection motivation during the rides. Moreover, subjective norms and customers’ distrust appear to also impact their self-protection motivation during the ride-sharing service.

The present research provides one of the first in-depth studies, to the best of the authors’ knowledge, on customers’ protection motivation in ride-sharing services in the new normal. The empirical evidence provides important insights for ride-sharing service providers and managers in the post-pandemic world and promote the resilience of ride-sharing industry.

This study explores the acceptance of protection technology, namely, exposure detection apps, in the context of the Covid-19 pandemic. Unlike other situations, the context of the pandemic is characterized by large levels of threat and fear which largely affect the human decision-making process. To identify such characteristics, this study investigates the acceptance of exposure detection apps from the perspective of protection motivation theory (PMT). It examines how the perceived risk of Covid-19, perceived fear of Covid-19, self-efficacy, response efficacy and protection motivation interact to predict the acceptance of exposure detection apps.

Data were collected from 306 Jordanian participants, and structural equation modelling was used for data analysis.

The results reveal that acceptance of these apps is triggered by the perceived risk of Covid-19, which increases the experienced level of fear. The latter then initiates a compelling desire or motivation to protect oneself by using the recommended adaptive response (exposure detection app). The results show that an increased level of self-efficacy and perceived efficacy of exposure detection apps also contribute to the development of protection motivation and later the intent to use exposure detection apps.

This study contributes to the technology acceptance domain by developing a context-driven model of the key characteristics of pandemics that lead to different patterns of technology acceptance. The key components in designing effective marketing campaigns to prompt the use of exposures detection apps are discussed.

Government employees must comply with policies on information security regulations, online security practices, social networking usage, internet addiction, online cyberthreats and other related habits. These activities are considered cybersecurity behaviors. Government social media (GSM) accounts are increasingly used to educate employees about cybersecurity risks. To support the effectiveness of cybersecurity practices in government organizations, the purpose of this study is to investigate the impacts of GSM and organizational policy compliance on employees’ cybersecurity awareness, motivation and behaviors.

Data were obtained by administering a questionnaire survey to public personnel in Vietnam. A total of 330 valid responses were obtained, and the research hypotheses were tested using partial least squares–structural equation modeling.

First, cybersecurity awareness enhances information protection motivation and employee protective behavior. Second, GSM has positive impacts on cybersecurity knowledge and information protection motivation. Third, there is a strong positive association between information protection motivation and employee protective behavior. Finally, while organizational compliance significantly increases cybersecurity awareness, its impact on employee protective behavior is ind irect.

This research enhances the literature on the behavioral dimension of cybersecurity. The primary objective of this study is to assess the influence of cybersecurity awareness on protective behaviors rather than intents and attitudes alone. Furthermore, this research integrates protection motivation theory and cultivation theory to provide a more thorough assessment of cybersecurity awareness and protective behavior. By investigating the impact of GSM on the level of cybersecurity awareness among employees within government organizations, this study provides valuable insights into the efficacy of recent governmental initiatives aimed at fostering cybersecurity.

The present study integrates inclusive leadership and protection motivation theory to propose a new model predicting employees' intention to work from home during an emergency situation such as the COVID-19 pandemic.

A questionnaire was developed to collect data from 939 Taiwanese and Vietnamese office employees using a non-probability convenience sampling method. A total of 887 valid questionnaires were used for further analysis. The data were analysed following a two-stage structural equation modelling using SPSS 22 and AMOS 20 software. The validity and reliability of the instrument were tested and ensured.

The results revealed that inclusive leadership and factors related to protection motivation theory– including perceived severity and perceived vulnerability – have positive direct and indirect effects on employees' work-from-home intentions through the mediating role of employees' work-from-home-related attitudes. Protection motivation theory factors were found to have a stronger effect on employees' work-from-home intention than inclusive leadership. Differences in the relationship between perceived vulnerability, perceived severity and employees' intentions towards working from home were also discovered among participants from the two studied countries.

The integration of inclusive leadership and protection motivation theory brings into light what will drive employees' intention to work from home during an emergency situation. The present study has several theoretical and practical implications for scholars, governments, managers and policymakers that can help them improve management policies for working from home in the future.

Based on integrating inclusive leadership and protection motivation theory to explore employees' intention to work from home during an emergency situation, the present study demonstrated that inclusive leadership and protection motivation theory should be considered for studies on working from home in a pandemic setting.

The proliferation of ride-hailing businesses brings significant considerations for improving the driver's operational performance. Informed by the literature on sharing economy, general deterrence theory and protection motivation theory this research investigates the behavioral factors impacting ride-hailing drivers' operational performance.

The authors empirically test the antecedents impacting a ride-hailing driver's operational performance using an online survey dataset comprising 513 ride-hailing drivers working for Uber and Lyft in the United States.

Ride-hailing drivers' intention to comply with the ride-hailing company guidelines results in better operational performance for the driver. Moreover, drivers believe that ride-hailing companies have effective penalties to deter drivers from violating company guidelines. However, drivers also believe that the chances of being caught while ignoring the company guidelines are low.

The results of this research support the decision-making processes of ride-hailing company managers and offer insights on how managers can enhance the operational performance of their drivers.

This study provides unique contributions to emerging research at the intersection of peer-to-peer asset sharing, behavioral studies and technology management. This research is one of the first to explore the role of behavioral factors such as coping mechanisms on the operational performance of sharing economy workers.

This research aims to understand the smartphone security behavior using protection motivation theory (PMT) and tests the current PMT model employing statistical and predictive analysis using machine learning (ML) algorithms.

This study employs a total of 241 questionnaire-based responses in a nonmandated security setting and uses multimethod approach. The research model includes both security intention and behavior making use of a valid smartphone security behavior scale. Structural equation modeling (SEM) – explanatory analysis was used in understanding the relationships. ML algorithms were employed to predict the accuracy of the PMT model in an experimental evaluation.

The results revealed that the threat-appraisal element of the PMT did not have any influence on the intention to secure smartphone while the response efficacy had a role in explaining the smartphone security intention and behavior. The ML predictive analysis showed that the protection motivation elements were able to predict smartphone security intention and behavior with an accuracy of 73%.

The findings imply that the response efficacy of the individuals be improved by cybersecurity training programs in order to enhance the protection motivation. Researchers can test other PMT models, including fear appeals to improve the predictive accuracy.

This study is the first study that makes use of theory-driven SEM analysis and data-driven ML analysis to bridge the gap between smartphone security’s theory and practice.

This study evaluated risk perception as a critical factor influencing the intention to visit ethnic restaurants; in addition, the role of food safety information in reducing risk perception toward ethnic food was examined. Finally, the purpose of this paper is to investigate the influence of protection motivation on risk perception.

A survey was performed with 506 respondents. Data analyses including descriptive statistics, simple linear regression structural equational modeling and an independent t-test were conducted.

The results highlighted the negative influence of risk perception toward ethnic food consumption on the intention to visit ethnic restaurants. The results indicated that providing food safety information on menus reduces risk perception. Protection motivation theory explained consumers’ risk perception toward ethnic food. In particular, vulnerability (the chance of occurrence), self-efficacy (certainty in one’s ability to carry out a recommended preventive behavior) and response-efficacy (belief that an individual can handle a threat effectively) affected consumers’ risk perception toward ethnic food.

The results provide effective strategies for reducing risk perception, such as a provision of food safety information on the ethnic menu or an open kitchen, which produces a safer food image for consumers.

A scarcity of research has been offered to explain the predictors influencing consumers’ risk perception toward ethnic food and the methods whereby risk perception can be reduced. Thus, this study makes an important contribution to the hospitality literature by exploring risk-perception-related variables.

In the wake of COVID-19 pandemic, public health is associated with the acceptance of vaccination unless it reaches herd immunity level, which is 67%. Nevertheless, citizens have shown hesitancy toward acceptance of COVID-19 vaccination globally. Therefore, this study aims to investigate factors which influence citizen’s intention to get COVID-19 vaccination with two well-known theories, namely, protection motivation theory and theory of planned behavior. Aside of direct relationship, the moderating effect of perceived awareness is also tested between attitude and citizens’ intention to get COVID-19 vaccine.

The research framework is statistically tested with data set of 215 responses. Data were collected from Pakistani citizens residing in Islamabad, Lahore, Narowal and Burban. For data collection, convenience sampling approach is used. The positivism research paradigm is adopted to design the research framework. Data were estimated with structural equation modeling approach.

Results of the statistical analysis unveiled that collectively perceived severity, vulnerability, subjective norm and perceived behavioral control have explained substantial variance R² 52.9% in measuring citizens’ attitude toward acceptance of COVID-19 vaccination. Likewise, attitude and awareness have explained substantial variance R² 54.6% in measuring citizens’ intention to accept COVID-19 vaccine. Moreover, results have shown substantial Stone–Geisser Q² value to predict citizens’ attitude and intention to accept COVID-19 vaccine.

In term of theoretical contributions, this study has combined two well-known theories, namely, protection motivation theory and theory of planned behavior, to investigate citizens’ attitude and intention to get COVID-19 vaccine. Therefore, practically this study directs that government officials and health-care practitioners should create awareness among citizens about pandemic by highlighting severity and vulnerability of the COVID-19 virus toward health which, in turn, motivate citizens to get COVID-19 vaccine on time.

The ongoing health crisis could be reduced if citizens achieve herd immunity against COVID-19 virus, resulting in long-term welfare of the society. This research has significant social impact on citizen’s lives, as it revealed that citizens could be motivated to get COVID-19 vaccination if they get adequate awareness about pandemic, enhance behavioral control and understand severity and vulnerability of the COVID-19 virus.

The current research is valuable, as it unveils factors which encourage citizens to get COVID-19 vaccine. In terms of originality, to the best of the author’s knowledge, this study is the first that integrates protection motivation theory and theory of planned behavior toward citizens’ intention to get COVID-19 vaccine during pandemic.

The COVID-19 pandemic and the travellers’ behaviour towards travel risk is an emerging issue. Nonetheless, the travellers’ perceived COVID-19 impacts, travel risk perception, health and safety perception and travel avoidance concerning protection motivation theory is unnoticed. Following the protection motivation theory, the current study investigates the direct and indirect relationships between perceived COVID-19 impacts and travel avoidance. Moreover, the travellers’ cognitive perceptions of risk may vary with their demographic characteristics; therefore, the present study aims to test the differences in group-specific parameter estimates using a multi-group analysis.

The authors approached travellers from Tianjin, China using different communication services, including WeChat and email, through a snowball sampling technique. The study used 553 valid questionnaires for analysis.

The results of 553 questionnaires in structural equation modelling (SEM) with AMOS 21 indicated that travellers’ perceived Covid-19 impacts positively correlate with travel avoidance. The study model based on protection motivation theory specifies that travel risk perception and health and safety perception as a cognitive mediating process partially mediated the relationship between perceived COVID-19 impacts and travel avoidance. The findings specified that during COVID-19, travellers assessed the severity of travel risks and adopted preventive measures which influenced their travel behaviour and led to travel avoidance. The multi-group analysis results indicated no difference in perception for gender and education; however, concerning age, the significant nested p-value specifies a difference in perception.

The study offers implications for policymakers and the tourism industry to understand the travellers’ perceptions of travel during the pandemic and ensure health and safety measures to encourage travelling and reviving the tourism industry.

The application of protection motivation theory to analyse the travellers’ perceived COVID-19 impacts and travel avoidance in the presence of travel risk perception and health and safety perceptions as a cognitive mediating process is novel.

COVID-19大流行下的旅行风险问题日益重要。目前, 有关旅游者COVID-19影响感知、旅行风险感知以及健康安全感知与避免旅行之间关系的问题尚未引起学者广泛关注。基于保护动机理论, 本文对COVID-19影响感知与避免旅行之间的直接关系和间接关系进行深入研究。鉴于旅游者旅行风险认知因其人口特征而异, 本文采纳多组分析来检验群体间特定参数估计差异。

采用滚雪球抽样方法在中国天津利用微信和电子邮件共收集了553份有效问卷。

结构方程模型分析结果显示, 旅游者Covid-19影响感知与避免旅行之间呈正相关关系。基于保护动机理论的研究模型表明, 旅行风险感知和健康安全感知作为认知中间过程, 在COVID-19影响感知与避免旅行之间起到部分中介作用。这说明在COVID-19期间, 旅游者首先评估旅行风险等级并采取预防措施, 而这将影响他们的旅行行为, 甚至导致放弃旅行。此外, 多组分析结果表明, Covid-19影响感知在性别和受教育程度上并不存在显著差异, 但在年龄上差异显著。

研究对于政策制定者和旅游业界理解旅游者在疫情期间对旅行的看法以及采取健康和安全措施鼓励游客出游进而实现旅游业复苏具有重要启示。

基于保护动机理论, 引入旅行风险感知和健康安全感知作为中介变量来分析旅游者Covid-19影响感知对避免旅行的影响是本研究的重要创新点。此外, 本研究通过检验Covid-19影响感知在受访者人口学特征上的差异也对现有研究具有一定理论贡献。

La pandemia de COVID-19 y el comportamiento de los viajeros hacia el riesgo del viaje es un asunto emergente. No obstante, los impactos percibidos de COVID-19 por los viajeros, la percepción del riesgo de viaje, la percepción de salud y seguridad, así como la evitación de viajes con respecto a la teoría de la motivación de protección es desapercibida. Por lo tanto, el estudio actual basado en la teoría de la motivación de protección investiga las relaciones directas e indirectas entre los impactos percibidos del COVID-19 y la evitación del viaje. Las percepciones cognitivas del riesgo de los individuos varían con sus características demográficas; por lo tanto, el estudio actual que utiliza un análisis de multigrupo prueba las diferencias en las estimaciones de los parámetros de grupo específico.

Nos acercamos a los viajeros de Tianjin, China, utilizando diferentes servicios de comunicación, incluidos WeChat y email, a través de una técnica de muestreo de bola de nieve. El estudio utilizó 553 cuestionarios válidos para el análisis.

Los resultados empíricos de los 533 cuestionarios en los modelos de ecuaciones estructurales (MES) indican que los impactos percibidos de Covid-19 se correlacionan positivamente con la evitación del viaje. El resultado implica que los encuestados primero evalúan los riesgos y luego toman las decisiones de viajar; por consiguiente, los hallazgos apoyaron la teoría de la motivación de protección. Los hallazgos también mostraron que la percepción del riesgo de viaje y la percepción de salud y seguridad median entre los impactos percibidos de Covid-19 y la evitación de viajes. Además, los resultados del análisis de multigrupo indican que para el género y la educación, no existe una diferencia; sin embargo, en cuanto a la edad, existe una diferencia significativa en la percepción.

Las implicaciones del estudio son importantes para que los legisladores y la industria del turismo comprendan la percepción de los viajeros durante la pandemia y garanticen las medidas de salud y seguridad para animar a viajar.

La aplicación de la teoría de la motivación de protección para analizar los impactos percibidos de COVID-19 por los viajeros y la evitación del viaje en la presencia de la percepción de riesgo de viaje y la percepción de salud y seguridad como variables mediadoras es novedosa. También, el estudio actual contribuye a la literatura a través de probar el modelo teórico sobre las características demográficas de los encuestados.