Assessing customer financial risk perception and attitude in the hotel industry: Exploring the role of protective measures against COVID-19

Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review

BACKGROUND

Electronic health records (EHRs) facilitate the accessibility and sharing of patient data among various health care providers, contributing to more coordinated and efficient care.

OBJECTIVE

This study aimed to summarize the evolution of secondary use of EHRs and their interoperability in medical research over the past 25 years.

METHODS

We conducted an extensive literature search in the PubMed, Scopus, and Web of Science databases using the keywords Electronic health record and Electronic medical record in the title or abstract and Medical research in all fields from 2000 to 2024. Specific terms were applied to different time periods.

RESULTS

The review yielded 2212 studies, all of which were then screened and processed in a structured manner. Of these 2212 studies, 2102 (93.03%) were included in the review analysis, of which 1079 (51.33%) studies were from 2000 to 2009, 582 (27.69%) were from 2010 to 2019, 251 (11.94%) were from 2020 to 2023, and 190 (9.04%) were from 2024.

CONCLUSIONS

The evolution of EHRs marks an important milestone in health care's journey toward integrating technology and medicine. From early documentation practices to the sophisticated use of artificial intelligence and big data analytics today, EHRs have become central to improving patient care, enhancing public health surveillance, and advancing medical research.

How COVID-19 has changed tourists' behaviour

As one of the fastest-growing sectors in many economies, tourism plays a key role in shaping national economic conditions and growth. The coronavirus disease (COVID-19) pandemic has had profound impacts on tourist behaviour and psychology. Understanding tourists' behavioural and psychological responses to the pandemic is crucial for tourism businesses to manage and sustain post-COVID-19 tourism recovery. To address whether and how the COVID-19 pandemic influenced tourists' thoughts and behaviours and the extent to which these changes might persist, we provide a narrative Review of the research on tourist behaviours and the psychological impacts of the pandemic. This Review delves into three themes: tourists' decision-making behaviour; the psychological impacts of the pandemic on tourists; and tourists' responses to crisis communication strategies. We argue that crisis communication strategies across sectors, pandemic-induced uncertainties and risks and psychological impacts were the predominant influences on tourists' travel decisions during the pandemic. We conclude by discussing which changes are likely to be sustained.

A Novel Data Analytics Methodology for Discovering Behavioral Risk Profiles: The Case of Diners During a Pandemic

Understanding tourist profiles and behaviors during health pandemics is key to better preparedness for unforeseen future outbreaks, particularly for tourism and hospitality businesses. This study develops and applies a novel data analytics methodology to gain insights into the health risk reduction behavior of restaurant diners/patrons during their dining out experiences in a pandemic. The methodology builds on data relating to four constructs (question categories) and measurements (questions and attributes), with the constructs being worry, health risk prevention behavior, health risk reduction behavior, and demographic characteristics. As a unique contribution, the methodology generates a behavioral typology by identifying risk profiles, which are expressed as one- and two-level decision rules. For example, the results highlighted the significance of restaurants’ adherence to cautionary measures and diners’ perception of seclusion. These and other factors enable a multifaceted analysis, typology, and understanding of diners’ risk profiles, offering valuable guidance for developing managerial strategies and skill development programs to promote safer dining experiences during pandemics. Besides yielding novel types of insights through rules, another practical contribution of the research is the development of a public web-based analytics dashboard for interactive insight discovery and decision support.

Food tourism to revitalize the Basque Country

The research examines the impacts of sensory experiences, taste, and destination food imagery on tourists' attitude. This study changes risks into positive attributes like safety and security, which significantly shape tourist decision-making processes. It underscores the significance of emotional well-being and safety concerns impacting tourists' visiting intentions. Employing Partial Least Squares Structural Equation Modelling, the study focuses on exploring the relationships among food tourism motivators, destination food image, safety perceptions, and the pandemic's impact on tourists' behavioural intentions within the Basque region. With a sample of 601 participants, this research emphasizes the importance of integrating risk mitigation actions and managing emotional states to design strategies for the sustained growth of the tourism industry.

Willingness to participate in virtual reality technologies: Public adoption and policy perspectives for marine conservation

Greater efforts are required to educate the public about marine conservation as the marine environment continues to deteriorate over time. A way to remotely travel during the pandemic is provided by virtual reality technologies in marine ecotourism. In order to present a theoretical framework that explains consumers' propensity to participate in virtual reality technology, this study draws on the theories of perceived risk, trust, and attitude. An online survey with 451 respondents was administered in Singapore and structural equation modeling was applied to analyze the data. The results reflect that perceived health risk, perceived financial risk, perceived social risk, and perceived performance risk, mediated by trust and attitude, have a significant influence on consumers' willingness to participate in virtual reality technologies in marine ecotourism. After analyzing their total effects, trust was found to have the highest effect on willingness to participate, followed by attitude, perceived social risk, perceived financial risk, perceived health risk, and perceived performance risk. Overall, the present research offers new perspectives on comprehending the drivers of willingness to participate, as well as implicating policies to raise public awareness of marine conservation, as well as to raise more money to support marine conservation initiatives.

The impact of deontological and teleological variables on the intention to visit green hotel: The moderating role of trust

Green hotels have grown in popularity due to customers' increased awareness of environmental issues. This study aims to construct and evaluate a model that combines the theory of Planned Behavior (TPB) and the theory of ethics to explain green hotel visitors' intentions and behavior. The study also considers the role of trust & subjective norms as a moderator. The framework of the study was evaluated using a quantitative method. Most of the respondents to the study, which was carried out in Noakhali, Bangladesh, were students at Noakhali Science and Technology University and their family members. The data was collected from 414 respondents and analyzed using the structural equation modeling (SEM) technique. The data collection took around two weeks, starting from December 3, 2021. According to the study's findings, the deontological (Moral obligation and justice) and teleological variables (perceived benefit and perceived risk) significantly influence green hotel visitors' intentions and actual behavior. Moreover, trust noticeably influences the relationship between subjective norm (SN) and Intention, and subjective norm affects the connection between attitude and intention. Therefore, hotel management can utilize this research to examine and understand visitors' intention and actual behavior to visit green hotels, which will assist them in attracting guests by portraying their services as eco-friendly. Furthermore, the findings may help hotel management formulate competitive marketing strategies, design effective promotional tools, and help generate an eco-conscious customer base.

Protective consumption behavior under smog: using a data-driven dynamic Bayesian network

In the midst of the deteriorating air pollution and collective stress, people pay close attention to risk mitigation measures such as keeping indoor and purchasing anti-smog products. Through impact evaluations, factors regarding health protective behavior can be identified. However, limited research is available regarding probabilistic interdependencies between the factors and protective behavior and largely relies on subjective diagnosis. These concerns have led us to adopt a data-driven static Bayesian network (BN) and Dynamic BN model to help explore multidimensional factors that may influence the public's health protective behavior of buying anti-smog air purifiers and examine the dependencies among network nodes. Using the city-level aggregate data from an online shopping platform, the results shed new light on relationships existing among 11 factors and protective behavior of buying air purifiers. Furthermore, taking into account the dynamic nature of protective behavior, we add time-related factors on the basis of static BN to construct the dynamic BN model. Results indicate that PM2.5 concentration and product price are the two leading factors affecting the consumption behavior for air purifiers. Additionally, media-related factors play an important role in the consumption behavior. This study contributes to the fields of impact evaluation of protective consumption behavior analysis and links environment risk with public consumption by identifying key factors.

Can the perceived risk of particulate matter change people's desires and behavior intentions?

Particulate matter (PM) is a hazardous airborne pollutant that encompasses all airborne particles with diameters ranging from 0.001 to 100 μm. It is composed of total suspended particles (TSPs), consisting of two main particle sizes: PM10 and PM2.5. PM poses various threats to human health because of its rapid mobility and its ability to spread over a wide area. In particular, it has long-term negative effects on such organs as the lungs and heart. China and South Korea, located in Northeast Asia, are representative of the countries at risk of PM, and their populations live with an awareness that the harms of PM go beyond physical risks. Therefore, based on previous studies, this study classifies the perceived PM risks into physical, psychological, financial, functional, and time risks. It has tried to verify the effect of this risk perception on the behavior intention of Chinese and Koreans and examine the moderating effect according to the difference in nationality. The study's conceptual model was constructed by applying Ajzen's proven theory of planned action. Utilizing AMOS 22.0 and SPSS 22.0, an analysis was performed. Following this analysis, it was determined that there was a significant causal relationship between perceived PM risk and behavioral attitudes, subjective norms, and perceived behavioral control. Additionally, it was discovered that perceived PM risk significantly impacted desire and behavioral intention. These findings demonstrate that when persons are exposed to high concentrations of PM, they perceive a variety of risks that go beyond the merely physical, and they can form different attitudes depending on their nationality. This study greatly contributes to the theoretical and practical implications by presenting more diverse perspectives on PM risk.

Path analysis to identify factors influencing customer loyalty of Green Hotel and Resort in Thailand

The objective of this study is to analyze the direct effects of customers loyalty, and the factors affecting customer loyalty to green hotels and resorts in Thailand. Indeed, the Green Hotel and Resort in Thailand is facing challenges in customer loyalty and customer satisfaction. This study is based on stratified sampling and the questionnaire was filled by the customers of the hotel, and the sample size for this research was 500. This study concludes that there is a significant role of corporate image, perceived value, customer expectation, and customer loyalty in customer satisfaction. Furthermore, this study highlights that to improve the customer satisfaction for the Green Hotel and Resort, it is important to consider the role of these influencing factors to increase customer satisfaction by providing them with values. Also, this study has the managerial implication that is necessary and based on finding to enhance customer satisfaction for better performance.

Residents' Support for Tourism Amidst the COVID-19 Era: An Application of Social Amplification of Risk Framework and Knowledge, Attitudes, and Practices Theory

Given that the concept of risk perception stems primarily from consumer behaviour, tourism research has tended to address the issue from tourists' perspective, resulting in a lack of consideration of destination residents' risk perception and its impact on their attitudes and subsequent behaviour. Based on the social amplification of risk framework (SARF) and the knowledge, attitudes, and practices (KAP) theory, this study constructed a theoretical model to deepen the understanding of destination residents' support for tourism. Results indicate that residents' social media use, knowledge of COVID-19 and attitudes to tourism and tourists are all positively related to their support for tourism. Furthermore, residents' risk perception is negatively associated with their attitudes to tourism, attitudes to tourists and support for tourism. However, the relationship between residents' social media use and risk perception was not confirmed. Theoretical and managerial implications were discussed.