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This paper aims to explore factors impacting wearable fitness tracking (WFT) device continued usage intention from perspectives of technology attributes (autonomy benefits), health attributes (self-health management benefits, diet-control benefits and health self-efficacy), and consumer attributes (age, gender, technological innovativeness, symbolic benefits, social benefits and hedonic benefits).

The study integrates constructs from the technology acceptance theories and the health promotion model to develop the research model and hypothesis. The empirical analysis was conducted using data from 217 respondents from India. Logistic regression was used to identify factors that discriminate between groups with low and high continued usage intentions.

Results indicate higher continued usage intention for WFT devices is driven by perceived benefits-health, autonomy, social and hedonic, and individual characteristics-technological innovativeness and perceived health self-efficacy. Further, perceived symbolic benefits, diet control benefits, age, and gender does not discriminate between the groups with low and high continued usage intentions.

The results may be limited to the context of the sample and the factors considered. The study suggests future research areas.

The paper offers insights for marketers, governments, insurance firms, and related healthcare services on promoting higher usage of WFT devices to yield dual benefits of preventive healthcare and higher profitability.

The study extends existing research by examining factors across consumer, health, and technological domains in a single framework and adds to the limited research in the context of usage of WFT devices in developing countries.

The collection and use of personal medical information for mobile health (mHealth) service raise significant privacy concerns. In this context, this study aims to explore the privacy paradox and its impact from the perspective of paradox resolution.

Based on social support theory and privacy calculus theory, this study first studies the effect of social support on perceived benefits, and explores the moderating effect of perceived health status on the privacy trade-off process. Secondly, the study examines the path of “privacy concerns – disclosure intention – disclosure behavior” to verify the existence of the privacy paradox. Following this, based on rational choice theory, the rationality degree is introduced as a moderating variable to investigate both its impact on the central route and the strength of this impact on the privacy paradox.

Empirical results show that informational support and emotional support influence perceived benefits significantly. Perceived benefits significantly influence privacy concerns, and perceived health status has a significant positive moderating effect. The authors further find that there is a privacy paradox within the mHealth context, and the privacy paradox is moderated negatively by rationality degree. The findings indicate that the impact strength of the privacy paradox will decrease with increases in rationality degree.

The findings indicate that it is crucial to evaluate the privacy paradox and its impact from the perspective of paradox resolution.

This study offers a complete comprehension of the privacy paradox in mHealth and provides several valuable recommendations for enhancing both mHealth services and privacy controls.

Purpose: The primary purpose of this study is to examine the association between Internet use, skills, and health-related Internet activities, on the one hand, and perceived health outcomes of health-related Internet use, use of healthcare services, and self-rated health (SRH), on the other hand, the latter conceptualized as gains constituting the “third digital divide.” Secondarily, we seek to examine whether the above associations are maintained after accounting for demographic characteristics.

Methodology: A nationally representative random-digital-dial (RDD) telephone household survey of Israeli adult population (aged 21 and older, N = 819). The survey measured different dimensions of Internet use – frequency, experience, Web 1.0 general consumption and health-related activities, Web 2.0 production activities (general and health-related), and content evaluation. Potential health benefits included perceived outcomes of Internet use for health purposes, use of healthcare services and SRH.

Findings: In a multiple hierarchical regression model, adjusting for demographic variables, Internet use was associated with increased use of healthcare services and better perceived outcomes of Internet use for health purposes, but not with SRH.

Research Implications and Limitations: Health-related Internet use is associated with a sense of empowerment and enhanced use of healthcare services, but – after accounting for background variables – is not associated with SRH. Limitations include self-reports and a cross-sectional design, the latter precluding inference on causality.

Practical Implications: Internet use, specifically Web 1.0 consumption activities, is associated with increased use of healthcare services and is positively associated with perceived health outcomes. No such relationships were found for Web 2.0 activities. Future technological developments in services should take the digital divide into account and design products that will benefit disadvantaged groups.

Originality/Value: While rigorously assessing various dimensions of Internet use, the study distinguishes between various benefits of Internet use in the health domain, clarifying which benefits are associated with Internet use for health purposes.

Functional foods, also known controversially as “phoods,” are perceived by many as the food industry's response to consumers' increasing desire to make healthier eating choices. The objective of the present study is to determine the influence of the production technology used to make functional foods on the perceived health value of functional foods.

To meet the objectives of the study, the paper employs an exploratory study with six conditions. The two factors addressed were the added nutrient (lycopene and beta‐carotene) and the degree of production technology (low, medium, and high). Lycopene and beta‐carotene were both added to two functional foods with different health features, which in this study were orange juice and apple pie. The use of this latter factor supposed that the level “low” implied a product which was improved by adding a food that naturally contained a nutrient, the level “medium” implied that the nutrient was added in the laboratory, and the level “high” refers to an ingredient whose genetic code had been modified in order to introduce the gene producing the nutrient. In order to reduce the effect of the order of presentation of the technology levels, the sequence of levels was randomized.

The results show that perceived health benefits and intention to purchase are not so much influenced by what we pose as graduated stages of production technologies as by a perceived dichotomy between natural and artificial foods. The results also show the extensive mediating effect of perceived risks and benefits on the relationship between experimental conditions, perceived health benefits, and intent to purchase. The results also reveal that pre‐purchase intentions of functional foods are more noteworthy for orange juice, which has a usefulness valence, than for apple pie, which has a less healthy epicurean valence.

This study has various strengths, including a novel intervention that addressed a timely topic for which few data are currently available. The sale of functional foods is a complex practice. This exploratory study took a few steps toward understanding how health benefits of functional foods are perceived and how these perceptions can be better understood by food manufacturers and consumers in today's society.

Drawing on the Health Belief Model (HBM), this study aims to investigate the roles of health beliefs (i.e. perceived susceptibility, perceived severity, perceived benefits, perceived barriers, health self-efficacy and cues to action) in promoting college students’ smartphone avoidance intention.

Empirical data were collected through a cross-sectional survey questionnaire administered to 4,670 student smartphone users at a large university located in Central China. Further, a two-step Structural Equation Modeling was conducted using AMOS 22.0 software to test the hypothesized relationships in the research model.

Analytical results indicate that (1) perceived susceptibility, perceived severity, perceived benefits and health self-efficacy positively influence users’ smartphone avoidance intention; (2) perceived barriers negatively influence smartphone avoidance intention, while (3) cues to action reinforce the relationships between perceived susceptibility/perceived benefits and smartphone avoidance intention, but attenuate the relationships between perceived barriers/health self-efficacy and smartphone avoidance intention.

This study demonstrates that HBM is invaluable in explaining and promoting users’ smartphone avoidance intention, thereby extending extant literature on both HBM and smartphone avoidance.

Research on smartphone avoidance is still in a nascent stage. This study contributes to the field by offering a fresh theoretical lens for pursuing this line of inquiry together with robust empirical evidence.

The increasing importance of health food sales and the growing number of consumers purchasing health foods necessitates that marketers develop enhanced understanding of health food consumers. The purpose of this paper is to provide a theoretical extension to the health belief model (HBM) that integrates personal stress and environmental cues (visible health problems) with its constructs.

Data were collected through a quantitative face-to-face survey of 384 health food consumers in Taiwan, and structural equation modelling was used to analyse the data.

The results show that the perceived benefits and barriers of health foods are critical antecedents of continued-consumption intention. Personal stress and visible health problems substantially influence consumers’ perceived susceptibility to and severity of health problems, and perceived susceptibility consequently leads to consumer continued consumption. However, the results indicate an irrelevant relationship between perceived severity of health problems and continued-consumption intentions.

Based on the HBM, the authors integrated perceived stress and visible health problems into the health food consumer research. The findings can improve the understanding of managers in the health food market regarding the role that stress and visibility play in consumer decisions.

Community health is placed under the limelight during the COVID-19 crisis, providing a unique context for investigating citizens' health-privacy tradeoff in accepting social surveillance technology. To elucidate this tradeoff dilemma, an extended privacy calculus framework integrated with the Health Belief Model, legislative protection, and individual collectivism was examined using the case of national contact-tracing apps.

The hypotheses were tested through PLS-SEM analysis with data collected from a survey on Bluezone – a national app in Vietnam.

The results indicated the negative impact of privacy concerns, which was offset by the positive effect of perceived benefits in using contact-tracing apps. The effect size of perceived benefits on usage frequency was twice as large as that of privacy concerns. Individual collectivism was revealed as a mitigator of the tradeoff dilemma, as it was positively associated with perceived benefits, whereas legislative protection had no such role. Citizens may perceive legislation protection as invalid when the technologies are developed, implemented, and monitored by the authorities.

The theoretical contributions lie in the extension of the privacy calculus model as well as its application in the context of mobile health apps and surveillance technology. The study empirically corroborated that the privacy calculus theory holds when technologies move along the pervasiveness spectrum. This study also provided actionable insights for policymakers and developers who advocate the mass acceptance of national contact-tracing apps.

The purpose of this paper is to investigate how the information about haze, a term used in China to describe the air pollution problem, is portrayed on Chinese social media by different types of organizations using the theoretical framework of the health belief model (HBM).

A content analysis was conducted based on the 756 posts retrieved from Sina Weibo, the top microbloging platform in China, following the simple random sampling method. χ2 analysis was conducted to examine the relationships across the three types of organizations (governmental organizations, non-governmental organizations, and corporations) and the use of the HBM concepts (perceived susceptibility, perceived severity, perceived benefits, perceived barriers, self-efficacy, and cues to action) in terms of haze and its threat to health.

The results of this study indicated that corporations posted more Weibo messages categorized as perceived benefit and most of these posts are related to their products, while governmental organizations posted fewer Weibo messages categorized as perceived severity.

This study provides health decision makers and media consumers with knowledge about how to use social media more effectively in terms of haze-related issues.

Given the severity of air pollution and the influential role microblogging takes, the study aims to fill the gap in the limited literature on haze information dissemination on social media in China. In addition, this study aims to shed theoretical light on HBM as applied to a non-westernized context.

This study aims to examine the impact of college students’ health and wellness orientations on the perceived importance of health benefits for an innovative new brand of standing desk, which is hypothesized to positively affect students’ attitudes and intentions. Research in this domain for the college student market is sparse.

An online survey was conducted among business students at a large Midwestern US University, with class credit offered for completion. Of the 325 students given the opportunity to participate, 210 completed the survey.

Health motivation is positively related to calorie reduction importance, whereas wellness orientation is positively related to back health and cognitive enhancement. Calorie reduction and potential cognitive benefits significantly affect attitudes toward standing desks, which positively impact intentions to use, pay a school usage fee and buy the product.

Different health orientation factors are associated with specific health benefits, providing greater insight into consumer attitudinal motivations for health-related products. Future research can further evaluate the generalizability of the results.

Marketers can tailor more effective communications based on underlying consumer motivations for health-related product benefits, resulting in better marketing outcomes.

Obesity is a growing societal issue, which could be ameliorated by improved daily behaviors, including the use of standing desks to assist in countering sedentarism.

To the best of the authors’ knowledge, neither academic research has yet examined standing desk purchase decision factors for the college student market, nor the effects of different health orientations on perceived health benefits.

The purpose of this study is to investigate the determinants of behavioral intention to use smartphone diet applications within the emerging market. Specifically, it focuses on the Privacy Calculus Model constructs, encompassing perceived risk and perceived benefit, as well as the pivotal elements of trust and self-efficacy. It also explores the moderating influence of experience on the influencing factors and intention to use a diet application.

In a survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling.

The findings reveal that perceived risk exerts a significant negative influence on behavioral intention. Conversely, perceived benefit, trust and self-efficacy exhibit a positive impact on behavioral intention. Moreover, the study delves into the moderating role of users' experience, which is found to significantly influence these relationships, suggesting that user experience plays a pivotal role in shaping the adoption dynamics of diet applications.

The limitations of this study may include the sample size and the specific focus on the emerging market of Saudi Arabia. The implications of the findings are relevant for scholars, developers, marketers, and policymakers seeking to promote the use of smartphone diet applications.

This study adds value by exploring the determinants of behavioral intention in the context of smartphone diet applications, and it is a first attempt to test the moderating role of users' experiences, providing valuable insights for various stakeholders in the field.