Search results

The purpose of this paper is to explore the mobile health adoption behaviour of potential adopters and to provide guidelines for mobile health success. This study applied both health behaviour and consumer value research and developed an integrated research model to encourage mobile health adoption.

The authors contacted about 1,800 potential respondents living in Seoul, Korea. The authors used stratified sampling to choose sampling areas and quota sampling to select the final sampling unit. A total of 550 interviews were conducted, and the data were analysed using a structural equation modelling technique with linear structural relations.

The results demonstrate that usefulness, convenience and monetary values of mobile health positively influence adoption intention. Convenience and monetary values are strongly perceived by individuals who have experienced illness, but the effect of illness experiences on the usefulness value is insignificant. Gender, age and income do not influence adoption intention.

There is no research yet studies mobile health adoption behaviour in the integrated view of consumer value and the health service research. This integrated adoption model of mobile health can be a response of the calls to develop the mobile health adoption model adapted to the health context and to identify added predictors of the mobile health adoption.

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.

Shifting to mobile-based banking transactions from physical banking transactions can be considered as a social distancing mechanism, which helps to prevent the spread of Covid-19 virus. As the spread of Covid-19 is expected to continue for long, the continued usage of mobile-based payment services as a strategy to maintain social distancing has to prevail. Hence, this study aims to propose an integrated framework of mobile payments adoption and its continuance intention by integrating health belief model (HBM) and expectation confirmation model (ECM) of information system continuance.

The subject of the study constitutes new adopters of mobile payments. A total of 654 respondents participated in the survey. The conceptual model was empirically validated using structural equation modeling and serial mediation analysis.

The study found that the HBM constructs, namely, perceived severity, perceived susceptibility and self-efficacy significantly influenced adoption/confirmation of mobile-based payment services. The continuance intention was significantly predicted by perceived usefulness and perceived satisfaction. Furthermore, the perceived health threat (comprising perceived severity and perceived susceptibility) indirectly affects continuance intention through confirmation, perceived usefulness and satisfaction.

There are short-term and long-term implications for the study. Short-term implications include triggering the HBM at policy levels, to adopt mobile payments/banking as a means of social distancing in the wake of the increasing threat of Covid-19 in India. Long-term implication for service providers is to convert adopters into loyal consumers by enhancing usefulness and satisfaction.

The study proposes a novel attempt to explain the adoption and continuance of mobile-based payment as a preventive health behavior to contain the spread of Covid-19 outbreak. The study proposes an integrated framework of HBM and ECM to explain pre-adoption and post-adoption behavior of consumers with respect to mobile-based payment services during Covid-19 context.

The purpose of this paper is to validate empirically a theoretical model that integrates an innovative construct capturing consumers’ non-adoption risk belief associated with not using a mobile service designed to support them in a non-leisure activity.

A theoretical model contrasting perceived non-adoption risk to perceived adoption risk of a mobile service supporting health promotion was developed and tested with a sample of potential consumers in North America.

Results show that non-adoption risk is a moderately strong antecedent of motivational factors in contrast to adoption risk that hinders the acceptance of a mobile service supporting health promotion.

Healthcare is a highly sensitive social sector, so possible negative consequences of not using the support of a mobile service are an additional motivation for adopting this service. Future research should test the role of non-adoption risk in other contexts of technology use, including non-leisure settings.

Making potential users see the possible negative consequences of not using a mobile service designed to support them in a non-leisure activity increases their motivation and, subsequently, intention to use the service.

Educational efforts to making consumers see the risks of not using a supporting technology application appear to be justified.

This study demonstrates the significant role of non-adoption risk belief that captures the negative consequences individuals may perceive if they fail to use as expected a mobile service application designed specifically to help them.

The purpose of this study was to examine how cost, network and technology factors affect the use of mobile technologies for clients’ care in internal medicine department in Nigeria’s premier teaching hospital, the University College Hospital, Ibadan.

The study adopted a survey design covering a cross-section of medical doctors, pharmacists, nurses and medical laboratory technologists in the Department of Internal Medicine. A questionnaire guided data collection.

There is a high level of consciousness and use of mobile technologies for meeting healthcare needs of internal medicine clients in the University College Hospital, Ibadan and medical practitioners are deploying the technology most. However, there is no similar evidence of consciousness and use of wearable health-care technologies and solutions. The hospital makes some provision for mobile technology support for relevant medical staff and purposes. However, about three in 10 of the respondents reported that they use their own funds to recharge hospital-provided mobile phones means.

The study focusses only on one institution but the result reflects the situation in other hospitals, University College Hospital, Ibadan, Nigeria being the major supplier of health and medical human resources in the country.

The hospital requires undertaking institutional assessment of mobile service need and consumption for clients’ care and thereafter make adequate provision to match the need. Furthermore, the institution could work out various forms of collaboration with mobile technology operators in the country to subsidise the cost of the use of telephones for clients’ care as part of their corporate social responsibility.

The institution could work out collaboration with mobile technology operators in the country to subsidise cost of mobile client care as part of the philanthropic and corporate social responsibility of telecom companies.

This study focusses mainly on internal medicine and has implication for a more proper understanding of adult deployment of mobile phones for client care.

Increasingly popular mobile health technology is creating a new paradigm for the delivery of care to patients involving a role of the pharmacist. This study aims to propose a renewed patient–pharmacist relationship in this environment and present an empirical case study investigating the influence of key variables, including the consumer’s attitude toward personalized monitoring performed by the pharmacist, on the intention to adopt a mobile health app. Other drivers identified were ease of use and perceived usefulness of the app, individual and health-related factors (perceived vulnerability and severity of health condition, social norms and innovativeness with technology) and quality of relationship with the pharmacist.

A self-administered online survey was completed by 356 Canadian mobile device owners of more than 40 of age. Analyses were performed using structural equation modeling.

The main factor driving adoption intentions was perceived usefulness followed by the respondent’s innovativeness with technology and perceived vulnerability of his/her health condition. Attitude toward personalized monitoring depends primarily on the relationship with the pharmacist. No relationship was found between adoption intentions and attitude toward personalized monitoring.

This research features a multidisciplinary approach by using variables from relational marketing, information technology and health and inclusion of the pharmacist (vs physician) as a health consultant, offering relevant marketing avenues for pharmacists.

This study aims to examine the determinants of mobile health technology and applications use intention. The factors are delineated from prior literature and theories of individual traits and adoption characteristics, technology acceptance and health belief.

Data from 409 respondents were collected from Indian participants through a questionnaire survey. The construct “use intention” was measured using individual traits to mobile services, subjective norm, health consciousness, awareness and perceived usefulness, and the model was tested.

The study found that mobile health technology and the applications awareness and personal innovativeness influence intention to use.

Previous studies have often looked at technology adoption and acceptance models separately and are less adequately discussed in the Indian context. The components that determine mobile health technology and the applications’ acceptance by literature and theories of individual traits and adoption characteristics, technology acceptance and health beliefs were also inadequately discussed. The significant contribution of this research also includes policy recommendations for improving mobile health acceptance in India.

This study aims to investigate the process of developing loyalty in the Chinese mobile health community from the information seeking perspective.

A covariance-based structural equation model was developed to explore the mobile health community loyalty development process from information seeking perspective and tested with LISREL 9.30 for the 191 mobile health platform user samples.

The empirical results demonstrate that the information seeking perspective offers an interesting explanation for the mobile health community loyalty development process. All hypotheses in the proposed research model are supported except the relationship between privacy and trust. The two types of mobile health community loyalty—attitudal loyalty and behavioral loyalty are explained with 58 and 37% variance.

This paper has brought out the information seeking perspective in the loyalty formation process in mobile health community and identified several important constructs for this perspective for the loyalty formation process including information quality, communication with doctors and communication with patients.

The acceptance of mobile health (m-health) applications, especially those of a preventive nature, by individuals, is not well understood. Despite the benefits offered by m-health applications in improving and sustaining health and well-being through various avenues, widespread adoption is yet to be seen. Within this context, this study aims to reveal the enabling factors and barriers that influence the use of m-health applications among Generation Z (Gen-Z).

The Unified Theory of Acceptance and Use of Technology (UTAUT) was extended with e-health literacy, trust and enjoyment constructs. Data from a survey study on 312 Gen-Z members were analysed via structural equation modelling, shedding light on the reasons why new generations adopt m-health apps.

The findings indicate that social influence and enjoyment are the most significant factors influencing the use of m-health apps. The significant impact of performance and effort expectancy on intentions was also confirmed by the results. Moreover, privacy risk was identified as a barrier to adoption. The results also indicated that the strong influence of trust on privacy risk can be used to offset those privacy concerns.

The findings highlight that hedonic motivation, which is commonly overlooked in health settings, plays an important role in m-health app use. Thus, promoting mobile app features that provide enjoyment will be influential in attracting the younger generation.

The context of the study differs from the norm and focuses on a regional health tourism hub, Turkey, situated at the crossroads of Europe and Asia. UTAUT model is modified with relevant constructs, namely, enjoyment, e-health literacy and privacy risk, to better fit the m-health context.

Consumers often start using mobile health apps but quit using them after a brief period of time. However, app providers can only ensure their long-term existence in the market if their app is used a long period, so that they can thus generate long-term revenue from advertising, subscriptions and sponsorships. Therefore, this study aims to gain a deeper understanding of the determinants of consumers’ continuous usage intention.

Based on a sample of 274 current mobile health app users, this study tests whether ideal self-congruence and/or functional congruence strengthens consumers’ continuous usage intention.

The results reveal that ideal self-congruence and functional congruence positively affect consumers’ continuous usage intention. Furthermore, an initial favorable attitude toward a mobile health app (i.e. ideal self-congruence) leads to a more favorable evaluation of the functional attributes of the app regardless of consumers’ objective evaluation of these attributes.

Providers should specifically take consumers’ ideal self-concept into consideration to increase consumers’ continuous usage intention of mobile health apps. Matching consumers’ ideal self-concept further leads consumers to a more favorable evaluation of the functional attributes of mobile health apps.

Only a few studies have examined factors influencing the continuous usage intention of mobile health apps; moreover, these studies have largely neglected the symbolic dimension of consumption behavior. Therefore, this study introduces congruence theory into the context of mobile health apps to provide a holistic view of the influence of the symbolic (i.e. ideal self-congruence) and utilitarian (i.e. functional congruence) dimensions on mobile health app consumption.