Search results

Drawing upon the communicative ecology theory (CET), this study aims to identify the potential precursors of social media health information seeking intentions (ISI) and examine their effects on health information re-sharing behaviors and PHH during coronavirus (COVID-19) pandemic.

The data is collected through an online survey conducted in two different universities situated in highly COVID-19-affected cities – Wuhan and Zhengzhou, China. The valid data consists of 230 useful responses from WeChat users and to analyze the final data set structural equation modeling (SEM) is used.

The results indicate that perceived health information credibility (PIC), trust on the medium (TRM) and peer influence (PI) significantly affect health ISI which further affects health information re-sharing behaviors (IRB) and personal health-care habits (PHH). Besides, the results also identify that PI has a direct, positive and significant effect on health IRB via social media during the COVID-19 pandemic.

This study investigates the health information intentional behavior precursors and their consequences via WeChat (taken as social media platform) during COVID-19 pandemic. Future studies may conduct research by examining online information behaviors on other social media platforms – Twitter, WhatsApp, Facebook, etc. – in health emergency situations.

The health information producers and providers have to deal with communicative ecology sentiments elegantly in emergency situations such as during the COVID-19 pandemic. They need to do collective efforts by introducing new tools or social apps which deal with valuable, reliable and accurate health content and information generated by the pandemic experts and health professionals. In such a way, the social apps and tools (Information providers) will act as mediators between the health professionals (Information producers) and general social media users (information seekers). Such initiatives will ultimately bring forth positive effect on individuals’ PHH as a whole within a network, community, environment or nations during a health emergency – COVID-19 pandemic.

This research is one of the first studies to examine the potential precursors of social media health ISIs and their resultant effects on individual’s health IRB and PHH during the COVID-19 pandemic. As currently it is noticed, an incredible upsurge of health information via social media has intense impacts on personal health-care research and practice, particularly during health emergency situations such as COVID-19 pandemic conditions.

Drawing upon social cognitive theory, this study aims to investigate the potential predictors and consequences of social media health-misinformation seeking behavior during the coronavirus (COVID-19) pandemic.

Using a sample of 230 international students studying at Wuhan University and Beijing Language and Cultural University, China, this study employs structural equation modeling to analyze the collected data.

The results indicate that personal factors such as lack of health information literacy, environmental factors, information overload and social media peer influence have a significant effect on behavior, namely social media health-misinformation seeking behavior, which further influences outcomes, namely social media users' anxiety during the COVID-19 pandemic. In addition, both lack of health information literacy and social media peer influence have significant and direct effects on social media users' anxiety. However, the direct effect of information overload on social media users' anxiety is insignificant.

First, this study contributes to the literature on the individuals' social media health-misinformation seeking behavior, its precursors and its consequences, specifically on their mental healthcare during a pandemic situation. Second, this research is one of the pioneer studies that extend social cognitive theory to the context of social media health-misinformation seeking behavior and users' anxiety relationship.

This paper aims to provide a conceptual model that elucidates the role of cognitive absorption in explaining behavioural intentions in virtual health communities.

Data were collected from 361 contributing members of virtual health communities from Gauteng, South Africa, using a structured questionnaire. Structural equation modelling using AMOS software was used to analyse the data.

The findings show that cognitive absorption has a significant direct positive influence on content posters’ intentions to continue participating on virtual health community platforms. Cognitive absorption was also found to have an indirect influence on behavioural intentions through its influence on members’ attitude. It was also found to play a mediating role in the influence of perceived usefulness and behavioural intention.

The study shows the value of linking flow theory and the technology acceptance model to provide a comprehensive understanding of behavioural intentions in virtual health community forums.

Managers of virtual health communities need to pay attention to experiential aspects of their sites. Success in ensuring that community members are cognitively absorbed is key to the development of positive attitude and intentions towards virtual health community forums.

Virtual health communities play a new and growing role in the way health-related information and support is offered and accessed by those in need. Despite their importance, not much research has been done to explain the role of consumer experience in member behavioural intentions on such forums. The study contributes to this understanding by demonstrating the value of cognitive absorption in directly explaining users’ attitude and behavioural intentions. The study also sheds light on the role played by cognitive absorption in explaining the influence of perceived usefulness on behavioural intentions.

Consumers often use inappropriate food‐handling practices and improving these could help to reduce the incidence of foodborne disease. However the development of an effective food safety education strategy is considered complex and could be improved by having a greater understanding of the consumer. This paper proposes investigating the modes and channels of communication that maybe used in education strategies.

A self‐complete postal questionnaire was distributed to a linked demographic quota of adults in South Wales. Responses were entered into a specially constructed food safety database.

Results indicated that the Environmental Health departments and UK Food Standards Agency were perceived to be the most trusted and credible organisations that can provide food safety information. The most believable spokespersons for promotion of food safety advice were determined as Environmental Health officers and the Chief Medical Officer. The most preferred source of food safety information identified were food packaging, followed by advice from a medical doctor.

Although only a relatively small sample size, many of the findings have been corroborated by qualitative data from nationwide focus groups. The data have been used as the precursor for a large nationwide study of over 2,000 consumers and this should further validate the data.

The results will be of benefit to a range of organisations currently engaged in food safety education as well as identifying potentially underutilised channels of communication.

The purpose of this paper is to examine the use of smartphone apps as tools to promote healthy eating behaviors, especially when ordering food and drinks in restaurants. This paper also aims to develop a conceptual model based on literature to test users' intention to use smartphone apps as tools to promote healthy eating habits.

The article is written based on a synthesis of previous research in this area.

Smartphone apps are innovative channels for delivering individual health behavior changes. They offer a range of services that can improve the daily habits of their users. Smartphone apps allow users to keep up with their diets, exercise routines, and overall health. Based on an extensive review, this paper develops a conceptual model that includes the precursors of actual usage of smartphone apps that may assist in building healthy eating habits.

Restaurants are advised to consider developing apps that includes nutritional facts about their menu items. These apps could be used for both consumer education and marketing efforts. The conceptual framework developed in this paper suggests that perceived enjoyment, perceived usefulness, perceived ease of use, self-efficacy and social norms are the antecedents of intention to use these apps.

This is one of the first studies in the foodservice and nutrition fields that looks at the smartphone apps' impact on healthy eating. It offers practical implications for restaurateurs and smartphone app developers. In addition, this is one of the first papers that offers a model to test smartphone users' intention to use smartphone apps when ordering food and drinks in restaurants.

The purpose of this study is to examine the influence of perceived risk (perceived susceptibility and perceived severity), self-efficacy and individual differences (personal innovativeness and mobile payment knowledge) on consumers’ intention to use contactless mobile payment services (MPS). Additionally, it also empirically tested the moderating effect of hygiene consciousness in the proposed conceptual model.

The present research developed a conceptual model based on the health belief model (HBM) and diffusion of innovation theory (DOI) to empirically assess whether and how perceived risk, self-efficacy and individual differences influence consumer intention to use contactless MPS. The data was collected using the survey method from 251 smartphone users and analyzed with structural equation modeling. The moderating role of hygiene consciousness was studied in the relationship that self-efficacy and personal innovativeness shares with consumers’ intention toward contactless MPS.

The results of this study disclose that among all precursors of consumers’ intention toward contactless MPS, only perceived severity, self-efficacy, personal innovativeness and mobile payment knowledge positively affect consumers’ intention to use contactless MPS. However, the effect of perceived susceptibility on consumers’ intention toward contactless MPS was found to be non-significant. The results further depict that hygiene consciousness acts as a moderator in driving consumers’ intention toward contactless mobile payment services.

The HBM model and DOI, which incorporate perceived risk, self-efficacy, individual differences and hygiene consciousness, give light on the factors influencing consumer intention to use contactless MPS in a pandemic situation such as COVID-19. The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.

The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.

By uniting perceived risk, self-efficacy and individual differences with consumers’ intention toward contactless MPS in a conceptual model, along with examining the moderating role of hygiene consciousness, this work responds to the calls for upcoming research concerning mobile payment systems as means of future payment. Thus, it offers an understanding of particular consumer motivations that may guide consumers’ intention toward contactless MPS through the theoretical lens of HBM and DOI.

Wearable health devices (WHDs) have demonstrated significant potential in assisting elderly adults with proactive health management by utilizing sensors to record and monitor various aspects of their health, including physical activity, heart rate, etc. However, limited research has systematically explored older adults’ continued usage intention toward WHD. By utilizing the extended unified theory of acceptance and use of technology (UTAUT2), this paper aims to probe the precursors of elderly adults’ continuance intention to use WHD from an enabler–inhibitor perspective.

The research model was developed based on UTAUT2 and examined utilizing the partial least squares technique (PLS). The research data were collected through in-person meetings with older people (n = 272) in four cities in China.

Results reveal that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic values and perceived complexity are the positive predictors of elderly adults’ continuance intention to use WHDs. Technology-related anxiety and usage cost negatively influence the formation of older people’s continuance intention.

This work is an original empirical investigation that draws on several theories as guiding frameworks. It adds to the existing literature on the usage of wearable technologies and offers insights into how the elderly’s intentions to continue using WHDs can be developed. This study broadens the scope of the UTAUT2 application and presents an alternative theoretical framework that can be utilized in future research on the usage behavior of wearable devices by individuals.

During the challenging time of lockdown and isolation due to the coronavirus disease (COVID-19), contact-tracing apps have played a critical role in health communication and preventive healthcare. This study proposed and tested an extended technology acceptance model (TAM) with key health factors (i.e. health risk perception from COVID-19, health information orientation to COVID-19 and health consciousness) to understand individuals' adoption of COVID-19 contact-tracing apps.

A two-stage online survey was conducted to collect data on US individuals’ intention and actual use of COVID-19 contact-tracing apps. The sample comprises 288 valid responses. Partial least squares structural equation modeling (PLS-SEM) and fuzzy set/qualitative comparative analysis (fsQCA) were employed as the complementary approaches.

The findings from PLS-SEM revealed that health risk perception, health information orientation and perceived usefulness have positive net effects on behavioral intention, which, in turn, affects actual use. The results from fsQCA highlighted the explanatory power of the extended TAM to COVID-19 contact-tracing app adoption.

Although TAM is considerably effective in measuring technology acceptance, the phenomenon is highly context-driven. How technological and health factors simultaneously motivate the use of contact-tracing apps has not been well documented. The present study offers some implications for practitioners concerned about fostering the adoption of mobile health services in the time of COVID-19. Methodologically, this study is among the first to blend PLS-SEM and fsQCA to measure the explanatory power of a structural model.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

This paper investigates, through the use of data mining techniques, patterns in HIV/AIDS patient data. These patterns can be used for better management of the disease and more appropriate targeting of resources.

A total of 250,000 anonymised records from HIV/AIDS patients in Thailand were imported into a database. IBM's Intelligent Miner was used for clustering and association rule discovery.

Clustering highlighted groups of patients with common characteristics and also errors in data. Association rules identified associations that were not expected in the data and were different from traditional reporting mechanisms utilised by medical practitioners. It also allowed the identification of symptoms that co‐exist or are precursors of other symptoms.

Identification of symptoms that are precursors of other symptoms can allow the targeting of the former so that the later symptoms can be avoided. This study shows that providing a pragmatic and targeted approach to the management of resources available for HIV/AIDS treatment can provide a much better service, while at the same time reducing the expense of that service. This study can also be used as a means of implementing a quality monitoring system to target available resources.