Search

The perceived risk experienced during the operation of a ship varies among seafarers, likely due to individual differences and variations in task requirements. Hence, this study aims to investigate the impacts of seafarers' individual characteristics on their perceived risk under various emergencies by conducting a high-fidelity ship-handling simulator experiment. A linear mixed effects model is built to assess the impact of individual characteristics (e.g. age, navigational experience, profession, professional level) on the perceived risk of seafarers. Results show that the perceived risk of maritime pilots is significantly higher than deck officers under three emergency situations. The lower perceived risk is found from seafarers with higher navigational experience or at a higher professional level in situations involving poor visibility or an emergency incident. Additionally, the seafarer's age could affect the perceived risk only in the circumstance of an emergency incident. Another finding is that seafarers at a high professional level (i.e. first mate, second-class pilot) exhibit higher perceived risk than those at a low professional level (i.e. second mate, third-class pilot) under the emergency of close encounters. Seafarers' individual characteristics have different impacts in various emergency situations, with the influence of their profession being particularly significant. Maritime administrations were suggested to develop diverse training programs for various seafarers in order to reduce the occurrence likelihood of human errors in maritime accidents. [ABSTRACT FROM AUTHOR]

Artificial intelligence in hospitality is increasingly transforming the way we travel. Service robots collect, store, analyze, and act upon a continuous stream of private information as a by-product of human-robot interaction. As such, they invade consumers' virtual and physical space and raise privacy challenges in AI settings. We conduct a survey study(n = 576) and validate a mediating contextualized model of consumers' adoption decisions on service robots in hospitality from privacy concerns. Our findings highlight the interplay between perceived risk and perceived benefit in shaping service robots' adoption decisions is partially mediated by privacy concerns. Our findings also highlight the mechanism of privacy concerns, conceptualized as psychological constructs of collection, control and awareness of privacy practices, as an important addition to the established multiple chain mediating effect. The insights explain how consumers calculate privacy between perceived risk and benefit, and help reconcile a fundamental tension among consumers, how to avail benefits of privacy by improving the privacy awareness and control associated with the collection of private information in hospitality. [ABSTRACT FROM AUTHOR]

Cigarette smoking causes serious complications and diseases in a person's life, such as Chronic Obstructive Pulmonary Disease (COPD) and some cancers, including lung cancer. On the other hand, studies have shown that smokers do not have a real understanding of the health hazards of smoking. This study was conducted to determine the perceived risk of lung cancer and COPD in current smokers. This cross-sectional study which was conducted between January-May 2023, recruited 380 current smokers by convenience sampling in community setting. The data were collected face to face using three questionnaires (1) the risk perception for lung cancer and COPD questionnaire, (2) the smoking stage of change questionnaire, and (3) the Fagerström test for nicotine dependence. We examined the relationship between the included variables and the smokers' perceived risk of lung cancer and COPD by using multiple linear regression. We found that lower education (coefficient = 3.60, 95%CI [1.00, 6.19], P < 0.0001) for elementary level and (coefficient = 2.81, 95% CI [0.36, 5.26], P < 0.05) for secondary level had greater lung cancer perceived risk. Besides, smoking age onset for 20 + years (coefficient=-1.36, 95%CI [-2.42, -3.17], P < 0.0001) lower than those who started before the age of 20 were associated with lower perceived risk for lung cancer. Regarding COPD, results indicated that lower education (coefficient = 4.54, 95% CI [1.87, 7.21], p < 0001) for elementary level (coefficient = 3.35, 95% CI [0.83, 5.87], p < 0.001) for secondary level and (coefficient = 3.03, 95% CI[-0.67, 4.25], P < 0.05) for high school dropout, and employment status (coefficient = 3.62, 95% CI[0.66, 6.59], p < 0.05) of employer and (coefficient = 3.23, 95% CI [0.14, 6.33], p < 0.05) for homemaker reported greater perceived risk. This study's results showed that participants' perceived risk was relatively low. It seems necessary to carry out interventions to inform about the harms of smoking and to enhance public awareness about the heightened risks of diseases such as lung cancer and COPD among cigarette smokers. [ABSTRACT FROM AUTHOR]

AbstractThis study delves into the reluctance to adopt autonomous vehicles (AVs), treating AV aversion as a multifaceted psychological and behavioral phenomenon encompassing cognitive judgments, affective responses, and behavioral intentions. Leveraging the environment-product-human-behavior framework, an AV aversion model (AAM) is developed to explore human-AV interaction. Survey data from MTurk in the U.S. reveals significant differences in perception between fully autonomous vehicles (FAVs) and partially autonomous vehicles (PAVs). Findings show that negative media exposure influences perceived risk, anxiety, and negative word-of-mouth (WOM) intention. Perceived risk contributes to anxiety, while the combination of anxiety and negative media encourages negative WOM intention. The study elucidates a cascading effect from negative media to risk perception, then to AV anxiety, culminating in negative WOM. Multi-group analysis highlights a significant disparity between FAVs and PAVs in the link between negative media exposure and negative WOM intention. Understanding AV aversion offers valuable insights to address human-AV interaction. [ABSTRACT FROM AUTHOR]

This study aims (1) to investigate the perceived risks (i.e. safety, crime, and social risks) associated with the crowd crush accident, (2) to examine the effects of perceived risks, destination attractiveness, and perceived image of a film destination on anticipated emotions and intentions to visit, and (3) to explore another motivator/barrier of visitor behaviour. The data was collected from 921 respondents who were South Korean residents and were aware of the incident. The close-ended questions from the data collection were analyzed by conducting a quantitative analysis. The results indicated that all dimensions of perceived risks affect negative anticipated emotion, and social risk is also negatively related to positive anticipated emotion. It also revealed that destination attractiveness and the perceived image of a film destination affect positive anticipated emotion, and the perceived image is also negatively related to negative anticipated emotion. In addition, the causal effects of positive/negative anticipated emotions on intentions to visit were identified. Moreover, the study conducted a qualitative analysis to analyze the data collected using open-ended questions. The content analysis showed that factors such as unique restaurants, perceived crowding, reviving the local economy, and nostalgia are associated with intentions to visit Itaewon. [ABSTRACT FROM AUTHOR]

High levels of self-disclosure on different Social Media platforms are part of our everyday lives nowadays. Users tend to share detailed information about their personal lives willingly while often underestimating its negative consequences. Previous studies emphasize the complexity of the processes of online self-disclosure. Our aim with this current research is to examine how online self-disclosure is influenced by different psychological factors: the attitude towards the value of the users' own data, perceived control over personal information and perceived risks associated with sharing on Social Media, with a multimethod study. In Study 1, a qualitative approach was introduced (N = 37), in Study 2, we conducted an online survey on a representative sample (N = 1597). In Study 1, we found that participants often underestimate the value of their own personal data and its usability by others. This (incorrect) interpretation gives them an increased sense of confidence about the security of their personal data in online contexts and facilitates them to share personal information on Social Media. In line with this, in Study 2 we found that the more the participants engage in self-disclosure on Social Media, the less risky they perceive their online activity. This suggests, the importance of sharing may overwrite the risks of sharing. Our results also show that higher engagement in online self-disclosure comes with a higher sense of control, which in turn decreases risk perception on Social Media sites. In sum, processes of self-disclosure on Social Media are influenced by not just the users' sense of control and risk perception but their perceptions towards the value of their own personal data. [ABSTRACT FROM AUTHOR]

Background: Hookah consumption is harmful to human health and can cause various diseases. Developing lung cancer and other lung diseases are one of the health consequences of hookah consumption. Measuring the perceived risk for being diagnosed with these conditions among hookah users is necessary. Therefore, this study was conducted to determine the perceived risk of lung cancer and Chronic Obstructive Pulmonary Disease (COPD) in hookah users in Iran. Methods: This cross-sectional study was conducted with a descriptive-analytical approach on 340 hookah users between January-May 2023. These people were recruited through convenience sampling. The information on the perceived risk of participants was collected through a questionnaire on the perceived risk of lung cancer and COPD. Data were analyzed through descriptive tests and multiple linear regression tests. These analyses were performed using Stata statistical software version 17. Results: The mean and standard deviation of the perceived risk for lung cancer was 8.41 ± 5.50 and for COPD was 8.51 ± 5.58 out of 20 possible scores. The results of multiple linear regression generally showed that the using other type of tobacco (β = 3.14, p < 0.0001), 2 or more use of hookah in past month (β=-3.41, p = 0.025), unskilled workers (β = 1.79, p = 0.017), married smokers (β=-1.31, p = 0.026), negative attitude toward hookah (β = 0.46, p < 0.0001) were the predictive variables regarding to lung cancer perceived risk. In line with COPD the using other type of tobacco (β = 3.47, p < 0.0001), once a month use of hookah in past month(β=-3.74, p = 0.041) and twice or more use of hookah in past month (β=-4.82, p = 0.008), smokers in contemplation stage (β = 3.91, p < 0.0001), female smokers (β = 3.08, p < 0.0001), unskilled workers (β = 2.42, p = 0.007), negative attitude toward hookah (β = 0.46, p < 0.0001) were the predictive variables to COPD perceived risk. Conclusion: In general, the perceived risk of developing lung cancer and COPD among hookah users was low. Therefore, it is necessary to provide widespread information about the potential harm of hookah in causing lung cancer and COPD, at the community level. [ABSTRACT FROM AUTHOR]

Sustainable consumption research, particularly understanding how consumers realign their purchasing habits toward more sustainable ones (e.g., upcycled products), has swiftly grown in popularity. Upcycling is one of the ways for firms to decrease their waste while enhancing their production processes. It is a way to add value to waste and discarded products and make them new again with a story. Although there is some research on consumer perception of such products in developed countries, the views of consumers in developing countries regarding upcycled goods have not been studied. To address this gap, this paper investigates consumer attitudes toward upcycling products in an emerging economy, namely, Türkiye. We conduct an embedded case study and examine several contextual considerations that firms should consider when embarking upon upcycling programs. In conclusion, we offer a conceptual framework for attitude toward upcycled products. [ABSTRACT FROM AUTHOR]

Consumer worries about their health and the environment are drawing attention to the usage of genetically modified food on a global scale. The study aims to provide fresh insight into how consumers view GM foods and how they plan to respond to them. Data were collected from Chinese consumers, who are at the advanced stage of GM food, and Ghanaians, who are at the early stage of GM food. The data were analyzed using Smart PLS, R-Studio, and SPSS. Based on a valid response from nine hundred and seventy-six (976) respondents across the two countries, the results demonstrate the dynamics of GM acceptance among consumers and provide valuable insights for policymakers and businesses in the GM foods industry. Our research adds up to the relatively fewer studies which have addressed GM food consumption likelihood from consumers across different stage of GM food readiness. [ABSTRACT FROM AUTHOR]

Optimal healthcare provision for the elderly is increasingly possible via real-time health indicators' data generated by mHealth care applications. Yet, these apps require continuous utilization, which remains problematic. This research examines gamification, usability, as well as empathetic cooperation and social interaction (ESCI) as enablers whereas inertia, sunk cost, transition cost, perceived risk, and technological anxiety are validated as inhibitors of mHealth care applications continued usage intention. Drawing on self-determination theory (SDT) and the Health IT Usability Evaluation Model (Health-ITUEM), the study also validates engagement as an influencer of continued intention. The sample comprised 643 older adults using mHealth care applications and residing in North Indian states. Structural Equation Modelling (SEM) was applied to assess and validate the hypothesized relationships. The results confirmed that usability strongly impacted engagement, followed by gamification and ESCI. Conversely, perceived risk emerged as the strongest inhibitor, followed by sunk cost, technological anxiety, and transition cost. Interestingly, Inertia had a positive and significant impact on engagement. This research is an initial endeavor to understand enablers and inhibitors of mHealth care applications (mHealth care apps) concerning older adults. The model that emerged from this study would provide valuable insights by validating various significant issues to generate engagement of the elderly towards mHealth care apps. [ABSTRACT FROM AUTHOR]

Background: Uptake of HIV early infant diagnosis (HEID) among HIV-exposed infants is the key to timely initiation of Antiretroviral Treatment (ART). However, despite the availability of HEID services in Tanzania, its uptake is low. We aimed to determine predictors of mothers living with HIV' with HIV-exposed infants' uptake of HEID services in Iringa District, Tanzania. Methods: A health facility-based cross-sectional study was conducted in Iringa District from May to June 2023. Mothers with HIV-exposed infants were recruited in the study through a multistage sampling technique and interviewed using pre-tested structured questions. Logistic regression analysis was employed to determine potential predictors of HEID uptake. Results: A total of 309 mothers with HIV-exposed infants participated in the study. About 78.3% of the HIV-exposed infants had initial DNA PCR for HEID within 6 weeks of age and 86.1% within 8 weeks. Most mothers had high perceived benefits on uptake of HEID with a mean score of 4.3, high perceived self-efficacy with a mean score of 3.8 and 2.7 perceived risk of HIV infection on their HIV-exposed infants on the 5 scale Likert scale with 5 showing the highest perceived benefit, self-efficacy and risk. High perceived self-efficacy and being a businesswoman were the predictors of uptake of HEID. The odds of self-efficacy on the uptake of HEID by 2.4 times (aOR 2.4 95% CI 1.6–3.2) within 6 weeks of age and 1.9 (aOR 1.9 95% CI 1.3-2.7) within 8 weeks. The odds of being a businesswoman were 0.4 for 6 weeks and 0.3 for 8 weeks (aOR 0.4 95% CI 0.2-0.8) and (aOR 0.3 95% CI 0.1-0.8) respectively. Conclusion: Over three-quarters of the HIV-exposed infants had initial DNA PCR for HEID testing as recommended. Perceived self-efficacy was the main factor influencing HEID uptake. These findings highlight the need for strengthening HIV-positive mother's self-efficacy for improved uptake of HEID services. Plain Language Summary: Predictors of mothers living with HIV' uptake of HIV early infant diagnosis services in Iringa District, Tanzania : This study aimed to find out the factors associated with the uptake of HIV early infant diagnosis (HEID) services among mothers living with HIV in Iringa District, Tanzania. The uptake of HEID in Tanzania is still below the 95% national and global target of ending AIDS as a public health by 2030 We employed a cross-sectional study design and collected data from May to June 2023 to determine predictors of mothers with HIV-exposed infants' uptake of HEID in Iringa District, Tanzania. The analysis was done by descriptive statistics and logistic regression analysis. A total of 309 mothers with HIV-exposed infants participated in the study. About 78.3% of the HIV-exposed infants had initial DNA PCR for HEID within 6 weeks of age and 86.1% within 8 weeks. Most mothers had high perceived benefits on uptake of HEID with a mean score of 4.3, high perceived self-efficacy with a mean score of 3.8 and 2.7 perceived risk of HIV infection on their HIV-exposed infants. High perceived self-efficacy was positively associated These findings highlight the need for strengthening HIV-positive mother's self-efficacy for improved uptake of HEID services. [ABSTRACT FROM AUTHOR]

Many developing countries have high traffic accident rates due to the mixed traffic environment in which bicycles and motor vehicles travel in the same lanes. This paper examines the perceived risk among road users in mixed traffic. A questionnaire survey was used to obtain demographic information and self-reported risk perception among cyclists, motorcyclists, and drivers. Statistical analyses, including the T-test and ANOVA, were used to examine the relevant differences in risk assessment among the groups. The results demonstrate that the groups differ significantly in sociodemographic characteristics, driving experience, and travel characteristics. For self-reported perceived risk, the respondents' perceptions of road surface conditions, the potential of daydreaming while operating a vehicle, and distraction from passengers or riding companions exhibited significant differences between the groups. The research findings could be beneficial as a guide for policymakers in planning road safety awareness to reduce risk in mixed traffic environments. [ABSTRACT FROM AUTHOR]

Mobile phones have become helpful travel companions to backpackers – supporting decision-making and enhancing their overall travel experiences meanwhile, associated with using smartphones are risk concerns that affect the experiences of users. However, the theorization of perceived risk (PR) toward IT in tourism has been mainly understood using first- and second-order modeling perspectives, hence the need for a parsimonious model (i.e., simpler with greater explanatory predictive power). Based on data from 567 backpackers who visited Ghana, PLS-SEM was used to specify PR toward their smartphone usage as a third-order hierarchical latent construct. The study confirmed that modeling PR toward smartphones as a third-order construct is theoretically tenable, with IT and destination risks as underlying factors. The findings also show that PR is a significant predictor of backpackers' satisfaction with their smartphones during travel and with their travel experience in general. The academic and practical implications of the study are discussed. [ABSTRACT FROM AUTHOR]

What satisfies food truck patrons? The current study attempted to answer this question by investigating the impacts of cognitive and affective image, perceived risk, and experiential value on customer satisfaction. Further, this paper looked to understand how satisfaction with food truck offerings translates into repurchase intention. To facilitate this research, a panel of Canadian and American food truck customers were surveyed. A total of 421 sample data were retained from online surveys and the relationships among the forementioned variables were analyzed through path analysis. The study findings indicate that a positive food truck image reduces customers' perceived risk of dining at a food truck and increases the value they believe they can obtain from the operation. Furthermore, finding that reduced perceived risk and positive image and value perceptions can result in increased customer satisfaction and, in turn, increased repurchase intention. Theoretical and practical implications are discussed. [ABSTRACT FROM AUTHOR]

Technology is increasingly disruptive, and economic transformation according to technology development is inevitable. Especially the field of E-commerce is constantly catching up with that development. We can easily see the development and importance of e-commerce in Vietnam and worldwide after the Covid-19 pandemic. Therefore, to attract and get customers online, businesses need to come up with solutions to increase the customer experience when shopping for their products. And the solution to this problem is the application of blockchain technology (blockchain) to e-commerce. Customer experience when shopping on e-commerce platforms with blockchain application is influenced by factors such as perceived risk, security, transparency, information synchronization, cost savings. To carry out this research, the research team conducted a survey and analysis based on 402 most suitable survey questionnaires, then conducted an assessment of factors affecting the shopping experience of customers when applying blockchain to e-commerce using Smart PLS 4.0 software and SPSS software. The survey was conducted with customers who have experience buying on e-commerce. The results of this research paper are a premise for many other future studies related to blockchain technology and draw out the governance implications for Vietnamese businesses in improving the shopping experience of customers when applying blockchain technology to e-commerce. In addition, the research results also help shoppers access the benefits of blockchain technology, helping customers feel more secure and confident when buying on e-commerce. [ABSTRACT FROM AUTHOR]

The significance of tourists' perceived risk and travel push motivation as need-driven factors has not been extensively examined within a crisis context. This study aims to evaluate their combined effect on tourists' attitudes and behaviors, focusing on travel satisfaction and travel willingness. The study used Maslow's theory of needs as the underpinning theory, survey data collected from a sample of 278 domestic tourists in Vietnam, and the partial least squares structural equation modeling for data analysis. The results showed that perceived risk negatively affected tourists' travel satisfaction during the pandemic, but it did not influence their travel willingness after the pandemic. In contrast, travel push motivation had a positive impact on tourists' travel satisfaction and their willingness to travel postpandemic. Perceived risk had a greater effect on tourists' satisfaction compared to travel push motivation. This result implies that domestic tourists would be more concerned about safety needs (a lower order need) while traveling in this particular pandemic context. However, travel push motivation (a higher order need) is more powerful in encouraging tourists to travel. Based on the results obtained, several implications are suggested for destination managers to attract and satisfy tourists in the context of a crisis. [ABSTRACT FROM AUTHOR]

This study aimed to identify the constructs related to customer experience that underpin e-commerce, as well as their interconnections, to develop a comprehensive conceptual model based on theories-in-use. A quantitative approach was employed through a survey of 441 respondents. Data analysis was conducted using partial least squares structural equation modeling. The research findings revealed that there are a total of 11 constructs: customer experience, customer satisfaction, customer loyalty, word-of-mouth, trust, perceived risk, security and privacy, web content, perceived price, perceived value, and service quality. Furthermore, twelve relationships were established between these constructs, which led to the development of a holistic conceptual model. The identified constructs and the relationships between them are hierarchized, which has practical implications for businesses. It allows them to concentrate on operational activities and formulate and implement strategies that are valued by consumers and supported by empirical evidence. The originality and value of this research lie in the conception and development of a comprehensive e-commerce model, which includes eleven constructs and twelve relationships. It also highlights the pivotal role of the customer experience. [ABSTRACT FROM AUTHOR]

This research delves into the multifaceted landscape of various factors that influence the adoption of Generation-Artificial Intelligence (Gen-AI) in Higher Education. By employing a comprehensive framework that includes perceived risk, perceived ease of use, usefulness, Technological Pedagogical Content Knowledge (TPACK), and trust, the study aims to reveal the crucial roles that these factors play in shaping the intention to embrace Gen-AI. Through the utilization of a hybrid approach that combines Structural Equation Modeling (SEM) and Artificial Neural Networks (ANN), the research examines the complex relationships among these predictors and their overall impact on the adoption of Gen-AI. By examining a diverse cohort of 242 participants, including undergraduate and postgraduate students, as well as faculty members from Indian Higher Education Institutions, the research uncovers significant determinants such as perceived ease of use, usefulness, TPACK, and trust. Interestingly, perceived usefulness does not emerge as a significant factor in influencing the intention to adopt AI in Higher Education. Through demographic analysis using the SPSS statistical tool package, the study reveals non-compensatory and nonlinear relationships between age, gender, and the intention to use AI. By leveraging the significant predictors identified through SEM, the developed ANN model accurately predicts the intention to use AI with a 71% accuracy rate. This study not only provides valuable insights into the theoretical foundations but also offers practical implications for the seamless integration of Gen-AI in higher education. [ABSTRACT FROM AUTHOR]

Given that China's cross-border e-commerce (CBEC) industry has garnered significant attention from various overseas suppliers, this study aims to explore the CBEC shopping patterns of domestic Chinese consumers. The objective of the study is to integrate the theory of the e-commerce acceptance model (EAM) and multi-target trust to forecast the cross-border e-commerce shopping (CBECS) behavior of domestic Chinese consumers. PLS-based structural equation modeling analysis indicates that the CBECS intention is significantly influenced by perceived usefulness, perceived ease of use, and perceived risk. With regard to multi-target trust, seller trust impacts perceived risk and ease of use, whereas logistics trust influences perceived usefulness and perceived ease of use. Platform trust influences both seller trust and logistics trust. These results contribute to the advancement of CBEC literature and practices. [ABSTRACT FROM AUTHOR]

Previous studies have generally assumed that perceived benefits and perceived risks independently influence trust and the continued usage intention of M-payment. Building upon the trust and customer-perceived value concept, perceived benefits should be able to compensate for perceived risks associated with the use of M-payment. Through a survey completed by 1133 small business owners in Indonesia, this study found that the influence of perceived risk on continued usage intention of M-payment is valid only when it is mediated by trust. Moreover, the negative influence of perceived risk on trust and continued use intention cannot be reduced by the perceived benefits of M-payment. Therefore, to promote the continued usage intention of M-payment, its stakeholders should focus their efforts on eliminating the perceived risks and improving the trust of small business owners. [ABSTRACT FROM AUTHOR]

Banks are developing services in response to consumer demand for environmentally friendly options. The trend towards green banking is picking up steam and will continue to do so over the next decade. Focus of the article is to analyse the issues faced by banking customer to adopt this green mode of banking. This exploratory study uses a questionnaire (quantitative treatment) to collect data through online mode. It was found in a survey that majority of respondent are aware of basic features of internet banking only. Thus, banks must make them aware with all the feature of internet banking and must provide them knowledge that how internet banking has a wide scope then other banking channel. The traditional definition of green development focuses primarily on environmental concerns. The growing use of the internet for various internet banking services opens up the possibility of establishing a long-term banking business. The goal of this paper is to identify the factors that influence internet banking acceptability and, as a result, it will give a roadmap to banks for its long-term growth. Results of the study indicating that internet banking is becoming more popular, but still the threat of privacy concerns and e-trust are two major roadblocks to acceptance. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to examine the association between consumers' emotions towards emerging e-banking technology, perceived risk and subsequent intention to adopt emerging e-banking technology. Design/methodology/approach: An online questionnaire was used to collect data, which were analysed in a quantitative study. The final sample of 224 educated young consumers, familiar with emerging e-banking technology, allowed testing of the research hypotheses by applying confirmatory factor analysis and structural equation modelling (SEM). Findings: The empirical results indicate that deterrence emotions and hedonic motivation are associated with consumers' perceived risk and, subsequently, their intention to adopt emerging e-banking technology. Additionally, analysing the moderating role of hedonic motivation in the association between consumers' deterrence emotions towards emerging e-banking technology and their perceived risk highlights the significant association of deterrence emotions with perceived risk, regardless of the presence of hedonic motivation. Originality/value: This study demonstrates the association between consumers' emotions, perceived risk and subsequent intention to adopt emerging e-banking technology whilst underscoring the importance of distinguishing between different types of emotions and their corresponding appraisals. [ABSTRACT FROM AUTHOR]

This paper sought to investigate the validity of a mediation model, where we hypothesized that the four irrational evaluations postulated by the Rational-Emotive Behavior Therapy (REBT) theory (demandingness, awfulizing, low frustration tolerance, and global evaluation) would mediate the relationship between perceived risk of war and death anxiety. A sample of 158 Romanian participants completed online self-report measures, namely the Death Anxiety Scale, The Attitudes and Beliefs Scale, and the Risk Perception Scale. Mediation analyses were employed to assess the validity of the model. Results confirmed that the relationship between perceived risk and death anxiety is mediated by awfulizing and low frustration tolerance beliefs. The present research lends support to the REBT theory and puts forward a cognitive background to war-related distress. [ABSTRACT FROM AUTHOR]

This study aims to analyze the influence of perceived benefit and perceived risk on purchase decisions mediated by purchase intention in Alfagift application users. Perceived benefit refers to the benefits felt by consumers when using an application, while perceived risk relates to potential losses or uncertainties that may be faced. Purchase intention is the consumer's intention to buy, which is influenced by the perception of benefits and risks. This study uses a quantitative approach with a survey method to collect data from Alfagift application users. Data analysis was carried out using multiple regression models and path analysis to test the role of purchase intention as a mediating variable. The results of the study show that perceived benefits have a significant positive influence on purchase intention and purchase decision. On the other hand, perceived risk has a negative effect on purchase intention, but does not directly affect purchase decision without being mediated by purchase intention. Purchase intention has proven to be an important mediator in the relationship between perceived benefit, perceived risk, and purchase decision. These findings provide insights for app developers to improve perceived benefits and mitigate risks to drive consumer intent and purchase decisions. [ABSTRACT FROM AUTHOR]

This study examines the inconsistent theories surrounding the roles of perceived threat and efficacy in risk communication theories, focusing on behavioral changes during a public health crisis. Utilizing a two‐wave panel survey, the research found a nuanced interaction between efficacy beliefs and risk perceptions in dictating individuals' engagement in protective or defensive behaviors. Notably, those with high risk perceptions but lower efficacy beliefs were more likely to engage in future protective behaviors, contradicting previous assumptions about the avoidance group's propensity for defensive reactions. These findings initiate a complex discussion on the dynamics of risk and efficacy perceptions influencing behavior. [ABSTRACT FROM AUTHOR]

Purpose – The authors aim to study a conceptual model based on behavioural theories (UTAUT-3 model) to evaluate the adoption, usage and recommendation for neobanking services in India. Design/methodology/approach – The authors propose this model based on the UTAUT-3 integrated with perceived risk constructs. Hypotheses were developed to determine the relationships and empirically validated using the PLSs-SEM method. Using the survey method, 680 Delhi NCR respondents participated in the survey. Findings – Empirical results suggested that behavioural intention (BI) to usage, adoption and recommendation affects neobanking adoption positively. The research observed that performance expectancy (PE), effort expectancy (EE), perceived privacy risk (PYR) and perceived performance risk (PPR) are the essential constructs influencing the adoption of neobanking services. Research limitations/implications – Limited by geographic and Covid-19 constraints, a cross-sectional study was conducted. It highlights the BI of neobanking users tested using the UTAUT-3 model during the Covid-19 period. Originality/value – The study's outcome offers valuable insights into Indian Neobanking services that researchers have not studied earlier. These insights will help bank managers, risk professionals, IT Developers, regulators, financial intermediaries and Fintech companies planning to invest or develop similar neobanking services. Additionally, this research provides significant insight into how perceived risk determinants may impact adoption independently for the neobanking service.

Purpose – The demand for electric vehicles (EVs) has significantly increased in recent years, though some countries like Sri Lanka have reported the opposite direction compared to the global trend. Hence, this study focused on identifying factors affecting EV purchase intention and barriers to the widespread adoption of EVs in a developing country context. Also, this study presents an overview of the theoretical perspectives utilized for understanding consumer intentions and adoption behavior toward alternative fuel vehicles (AFVs). Design/methodology/approach – The questionnaire method was employed, and 394 individuals who lived in Colombo City, Sri Lanka, with valid driving licenses and a hybrid or conventional vehicle were the study sample. The partial least squares structural equation modeling (PLS-SEM) was used to test the research hypothesis. Findings – The findings confirmed that the three relationships between the unified theory of acceptance and use of technology (UTAUT) variables and EV purchase intention are significant, and there is no significant moderator effect from the consumer’s perceived risk. Originality/value – These results offer useful information for governments and EV companies to better understand consumer behavior toward purchasing EVs.

Abstract Cigarette smoking causes serious complications and diseases in a person’s life, such as Chronic Obstructive Pulmonary Disease (COPD) and some cancers, including lung cancer. On the other hand, studies have shown that smokers do not have a real understanding of the health hazards of smoking. This study was conducted to determine the perceived risk of lung cancer and COPD in current smokers. This cross-sectional study which was conducted between January-May 2023, recruited 380 current smokers by convenience sampling in community setting. The data were collected face to face using three questionnaires (1) the risk perception for lung cancer and COPD questionnaire, (2) the smoking stage of change questionnaire, and (3) the Fagerström test for nicotine dependence. We examined the relationship between the included variables and the smokers’ perceived risk of lung cancer and COPD by using multiple linear regression. We found that lower education (coefficient = 3.60, 95%CI [1.00, 6.19], P

Abstract Background Hookah consumption is harmful to human health and can cause various diseases. Developing lung cancer and other lung diseases are one of the health consequences of hookah consumption. Measuring the perceived risk for being diagnosed with these conditions among hookah users is necessary. Therefore, this study was conducted to determine the perceived risk of lung cancer and Chronic Obstructive Pulmonary Disease (COPD) in hookah users in Iran. Methods This cross-sectional study was conducted with a descriptive-analytical approach on 340 hookah users between January-May 2023. These people were recruited through convenience sampling. The information on the perceived risk of participants was collected through a questionnaire on the perceived risk of lung cancer and COPD. Data were analyzed through descriptive tests and multiple linear regression tests. These analyses were performed using Stata statistical software version 17. Results The mean and standard deviation of the perceived risk for lung cancer was 8.41 ± 5.50 and for COPD was 8.51 ± 5.58 out of 20 possible scores. The results of multiple linear regression generally showed that the using other type of tobacco (β = 3.14, p

Abstract Sustainable food security is a critical global concern and an urgent priority in developing countries such as Iran. Digital agricultural technologies (DAT) represent significant solutions in this regard, yet their adoptions and development in Iran face limitations. Theoretical studies have underscored the importance of ethical commitments in the adoption process. This study aims to investigate whether ethical commitments regarding food security can influence the intention to adopt digital technologies by farmers. The study employed the Norm Activation Model and integrated two additional components, namely perceived risk and social capital. We applied this framework to examine research works on farmers of Kermanshah Province in the west of Iran, using survey data (sample n = 384). Data analyses were done through structural equation modeling (SEM). Based on the results, the developed Norm Activation Model can be used to predict the adoption intention of DAT by farmers; with the model explaining 65% of total variance. Feeling guilt exhibited the highest direct effect, followed by feeling proud. Furthermore, ethical norms had a direct and indirect impact on intention through the mediating variables of feeling proud and Feeling guilt. The findings of this study contribute to facilitating innovation adoption strategies. It is recommended that, in order to facilitate and stabilize farmers' adoption of innovation, their sense of guilt should first be aroused. After stimulating the farmers' sense of pride toward the adoption; emphasis should be placed on ethical commitments. Ultimately, the introduction of technology and the facilitation of infrastructure should be pursued.

This study employs a hierarchical component model to examine reuse intentions among experienced carsharing service users in South Korea, focusing on how various perceptions of benefits and risks impact their decisions. It also explores the influences of self-efficacy, gender, and service usage experience on these perceptions and reuse intentions. Findings highlight that male users are primarily driven by functional benefits such as accessibility and convenience, whereas female users are more responsive to hedonic benefits. Users with high self-efficacy prioritize economic benefits, whereas those with more usage experience prioritize functional benefits. Additionally, social risks significantly deter reuse intentions predominantly among male and less experienced users. By utilizing a hierarchical model, this study offers a deeper understanding of how each dimension of benefits and risks affect overall perceptions, facilitating tailored strategies for carsharing services. The insights contribute valuable theoretical and practical perspectives on the dynamics of carsharing service usage.

The aim of this research is to determine the influence of perceived benefits and perceived risks on intention to purchase life insurance products with consumer perceived fear as a mediating variable. The sampling method uses non-probability sampling with a purposive sampling technique, namely respondents are selected based on certain criteria. Hypothesis testing in this research uses SEM (Structured Equation Modeling) analysis and the program used for analysis is AMOS (Analysis of Moment Structure). The results of this study indicate that Perceived Risk significantly influences Intention to Purchase Life Insurance Products while Perceived Benefit does not have a significant effect. Perceived Risk also significantly influences Life Insurance Consumer Perceived Fear while Perceived Benefit does not have a significant influence. Lastly, Consumer Perceived Fear acts as a mediating influence on Risk Perception on Intention to Purchase Life Insurance Products.

This study aimed to identify the constructs related to customer experience that underpin e-commerce, as well as their interconnections, to develop a comprehensive conceptual model based on theories-in-use. A quantitative approach was employed through a survey of 441 respondents. Data analysis was conducted using partial least squares structural equation modeling. The research findings revealed that there are a total of 11 constructs: customer experience, customer satisfaction, customer loyalty, word-of-mouth, trust, perceived risk, security and privacy, web content, perceived price, perceived value, and service quality. Furthermore, twelve relationships were established between these constructs, which led to the development of a holistic conceptual model. The identified constructs and the relationships between them are hierarchized, which has practical implications for businesses. It allows them to concentrate on operational activities and formulate and implement strategies that are valued by consumers and supported by empirical evidence. The originality and value of this research lie in the conception and development of a comprehensive e-commerce model, which includes eleven constructs and twelve relationships. It also highlights the pivotal role of the customer experience.

Food has long been considered very important in tourism activities and it has a positive effect on tourist satisfaction. Then local cuisine has become an important attraction for tourist destinations and one of the focuses of destination marketing. This study is based on the theory of perceived value, perceived risk theory, and the theory of planned behavior, aiming to understand tourists’ intentions to purchase local cuisine and its influencing factors, choosing Wuhan, China as the study case, and conducting an empirical survey on tourists visiting Wuhan in 2023. Data analysis was conducted using confirmatory factor analysis and structural equation modeling to test the research hypotheses. The results show that the value of quality, price, emotion, cognition, culture and health can improve tourists’ satisfaction and enhance tourists’ purchase intention of Wuhan cuisine. However, social value and perceived risk have no significant effect on satisfaction and purchase intention, tourists’ satisfaction with Wuhan cuisine positively affects tourists’ attitude, and tourists’ satisfaction. Attitude, subjective norms and perceived behavioral control are also key factors to predict tourists’ purchase intention of Wuhan cuisine. The purchase intention model meets the fitting criteria: X²/Df = 1.533, RMSEA = 0.025, CFI = 0.977, IFI = 0.977. The results of this study provide a reference for the competent government departments and related enterprises to promote the development of food tourism in Wuhan.

Abstract Introduction Oral antiviral medications are important tools for preventing severe COVID-19 outcomes. However, their uptake remains low for reasons that are not entirely understood. Our study aimed to assess the association between perceived risk for severe COVID-19 outcomes and oral antiviral use among those who were eligible for treatment based on Centers for Disease Control and Prevention (CDC) guidelines. Methods We surveyed 4034 non-institutionalized US adults in April 2023, and report findings from 934 antiviral-eligible participants with at least one confirmed SARS-CoV-2 infection since December 1, 2021 and no current long COVID symptoms. Survey weights were used to yield nationally representative estimates. The primary exposure of interest was whether participants perceived themselves to be “at high risk for severe COVID-19.” The primary outcome was use of a COVID-19 oral antiviral within 5 days of suspected SARS-CoV-2 infection. Results Only 18.5% of antiviral-eligible adults considered themselves to be at high risk for severe COVID-19 and 16.8% and 15.9% took oral antivirals at any time or within 5 days of SARS-CoV-2 infection, respectively. In contrast, 79.8% were aware of antiviral treatments for COVID-19. Perceived high-risk status was associated with being more likely to be aware (adjusted prevalence ratio [aPR]: 1.11 [95% confidence interval (CI) 1.03–1.20]), to be prescribed (aPR 1.47 [95% CI 1.08–2.01]), and to take oral antivirals at any time (aPR 1.61 [95% CI 1.16–2.24]) or within 5 days of infection (aPR 1.72 [95% CI 1.23–2.40]). Conclusions Despite widespread awareness of the availability of COVID-19 oral antivirals, more than 80% of eligible US adults did not receive them. Our findings suggest that differences between perceived and actual risk for severe COVID-19 (based on current CDC guidelines) may partially explain this low uptake.

Abstract The metaverse for cultural heritage (MCH) serves as a digital platform that enables users to access and engage with cultural heritage resources online. With the rapid expansion of cultural digitisation, many organizations have adopted the MCH to increase their impact and reach. However, empirical research is essential to substantiate the role and significance of MCH. This study examines users’ intentions to engage with MCH and their offline experiences. Using the SEM-ANN method, 989 respondents participated in an analysis framed by the NVM approach through questionnaires. The results show a dependence of users' offline experience intentions on their intentions to engage with MCH (β = 0.216, T = 7.915, P