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The aim of this paper is to study the association between health consciousness, health belief model and intention to engage in healthy activities in addition to use restaurants.

An electronic questionnaire was distributed through social media and university website including questions on demographic variables and Likert scaled aspects of health consciousness, health belief model and behavioral intention to practice healthy habits and use fast-food restaurants.

A total of 92 Palestinian adults participated in this study. Age 28.5 ± 9.7 years. Of the studied group, 28.6% were males, body mass index = 24.4 ± 4.1 kg/m². Average health consciousness was 12.3 ± 3.1, health belief model (susceptibility = 10.4 ± 6.8, severity = 12.7 ± 7.2, benefit = 28.1 ± 5.3 and barriers = 17.8 ± 6.8) and for behavioral intention = 21.1 ± 6.4. In final regression models, only benefit was significantly associated with health consciousness (B = 0.18 ± 0.07, p = 0.012) and behavioral intention B = 0.26 ± 0.13, p = 0.05). Only barrier and severity were associated significantly with number of using restaurants weekly (0.04 ± 0.02, p = 0.03) and (0.05 ± 0.02, p = 0.004), respectively.

Health belief model partially explained use of restaurants and healthy lifestyle among Palestinians. This is a cross-sectional design and future clinical trials are needed.

To the best of the authors’ knowledge, this is the first study to address the role of health belief model and health consciousness in improving dietary style and habits.

Access to good menstrual products is a human rights issue. Yet, there are rising health concerns of women regarding traditional–plastic sanitary napkins. The usage of these products has raised apprehensions towards the environmental pollution due to the plastic content. The solution for both these issues lies in the sustainable menstrual products. As menstruation is a public health issue, this study aims to identify the role of health beliefs on attitude of women towards sustainable menstrual products.

A survey was conducted for the purpose of data collection. The study uses questionnaire as a research instrument to gain an insight on women health beliefs towards sustainable menstrual products. Data was collected from 527 women respondents through convenience sampling. SPSS and Smart-PLS 4 were used for analysing the data.

Results of the study indicate that all the health belief perceptions had a significant impact on attitude. Women with more positive health belief and less negative health beliefs are the potential consumers for sustainable menstrual products.

To the best of the authors’ knowledge, this the first study that uses health belief model to explore and add to the menstruation literature especially sustainable menstrual hygiene.

This paper aims to investigate the influence of health beliefs and trust by senior adults as associated with the perceived ease of use and perceived usefulness, for the acceptance of smart technology with a focus on smartwatch technology.

Structural equation modeling is used to conceptualize the model using survey data collected from 243 randomly selected senior adults 60+ years of age.

This paper presents that perceived usefulness, perceived ease of use, trust and health belief are direct and indirect predictors of senior adults’ technology acceptance and intention to use smartwatch technology.

The study reveals the moderator effect of social influence on relation between perceived usefulness, perceived ease of use and intention to use. The authors highlight the effect of health belief and trust on perceived usefulness and perceived ease of use and the role of intention to use smartwatch technology.

The authors contribute bridging developers of health technologists and senior adults as end-user perspectives. For marketing of health-care technology products, specifically smartwatch, to seniors, a focus on health beliefs and trust is essential to build, maintain and improve perceived usefulness and perceived ease of use.

The present study contributes empirical evidence to the literature on factors affecting the acceptance of the smartwatch technology by senior adults.

This study examines how health-conscious consumers utilize nutrition facts panel labels when purchasing food products, focusing specifically on the dimension of ethical evaluation. It aims to understand how ethical considerations influence the decision-making process of consumers who prioritize health. By analyzing the impact of ethical evaluation on label usage, the study sheds light on the significance of ethics in consumer behavior in the context of purchasing packaged edible oil.

Empirical data were collected using an online survey and a non-ordered questionnaire. In total, 469 valid responses were obtained. The study used SPSS version 27.0 and SmartPLS version 3 for demographic analysis and structural equation modeling.

The findings suggest that three factors – perceived benefits, perceived threats, and nutrition self-efficacy, positively impact the use of NFP labels. However, perceived barriers negatively influence the use of NFP labels. In additionally, ethical evaluation mediates the usage of NFP labels.

In the health belief model, ethical evaluation functions as a mediator and has a greater influence on NFP label use. This study provides a framework for marketers to promote consumer health consciousness by encouraging them to incorporate NFP labels.

This study is one of the first attempts to demonstrate that ethical evaluation mediate health beliefs and the use of nutrition labels.

Unlike traditional products and services, customer motivation to purchase green products/services may be due to non-marketing factors, such as their personal values about health. In this study, the authors aim to propose and validate an integrative model using both advertising attitude factors and health beliefs to explain purchase intention and word of mouth in the context of green marketing. The authors focus specifically on collectivist consumers as values and social norms that tend to be more salient in driving their decisions.

The model was tested empirically using a survey study with 308 Chinese consumers in Hong Kong. The data were analyzed using confirmatory composite analysis (CCA) and partial least squares structural equation modeling.

All health beliefs were significant predictors of green advertising attitude. Green satisfaction fully mediates the relationship between green advertising attitude and positive word of mouth for products and services with green advertising for collectivist Chinese consumers. Meanwhile, green satisfaction partially mediates the relationship between green advertising attitude and purchase intention. In addition, green brand equity partially mediates the green advertising attitude–purchase intention/positive word of mouth link.

The significant impacts of health belief factors on green advertising attitude present important implications to advertising managers in terms of the use of information appeal in promoting green products/services. Green brand equity should also be developed in order to optimize green advertising effectiveness, especially in the context of collectivist customers.

This research is one of the first few studies investigating the mediating role of green satisfaction and green brand equity for collectivist consumer behaviors based on the health belief model (HBM).

This paper aims to propose a framework model of belief consistency on the confirmatory bias theory, trying to explore the interactions between cues of credence-label structure and different controversial types of health foods, as well as the intermediary mechanism of belief consistency.

This paper presents a conceptual framework of belief consistency based on confirmation bias theory. The interactions between cues of credence-label structure and different controversial types of health foods, as well as the intermediary mechanism of belief consistency.

Consumers’ willingness to purchase varies under interactions between cues of credence-label structure (product-level and ingredient-level credence-label cues) and different controversial types of health foods (noncontroversial health foods and controversial health foods). In the consumption context of noncontroversial health foods, the presence of product-level credence-label cues causes confirmation bias, greater perception of health belief consistency and higher willingness to purchase healthy foods. In the consumption context of controversial health foods, the presence of ingredient-level credence-label cues results in the prevention of confirmation bias, lower perception of unhealthy belief consistency and higher willingness to purchase health foods.

This paper offers a significant tool for researchers to enrich relevant theories in the field of the conceptual framework of cues of credence-label structure. It also discusses practical implications for enterprise marketing and for the health and welfare of consumers.

This study aims to examine how different hospitals utilize social media to communicate risk information about COVID-19 with the communities they serve, and how hospitals' social media messaging (firm-generated content and their local community's responses (user-generated content) evolved with the COVID-19 outbreak progression.

This research proposes a healthcare-specific social media analytics framework and studied 68,136 tweets posted from November 2019 to November 2020 from a geographically diverse set of ten leading hospitals' social media messaging on COVID-19 and the public responses by using social media analytics techniques and the health belief model (HBM).

The study found correlations between some of the HBM variables and COVID-19 outbreak progression. The findings provide actionable insight for hospitals regarding risk communication, decision making, pandemic awareness and education campaigns and social media messaging strategy during a pandemic and help the public to be more prepared for information seeking in the case of future pandemics.

For hospitals, the results provide valuable insights for risk communication practitioners and inform the way hospitals or health agencies manage crisis communication during the pandemic For patients and local community members, they are recommended to check out local hospital's social media sites for updates and advice.

The study demonstrates the role of social media analytics and health behavior models, such as the HBM, in identifying important and useful data and knowledge for public health risk communication, emergency responses and planning during a pandemic.

Wearable medical devices (WMDs) are improving people’s health and well-being in a noble way, as these aid in effective personal health monitoring, remote surveillance and overall illness management. Despite its wider applicability and usage, it is prevalent that users discontinue its usage, which presents an obstacle in the proliferation of such vital innovations among the masses. Therefore, relying on the expectation-confirmation model (ECM), this study aims to delve deeper to explain the factors that motivate users to continually use WMDs by incorporating novel variables, namely, health belief, health information accuracy and privacy protection.

The study proposes and tests an extended ECM perspective to predict the continuance intention (CI) of WMDs among users. By using structural equation modelling using SmartPLS, the authors tested the model on Indian people (n = 451) who had an erstwhile experience of using WMDs.

The study results show that confirmation of users’ expectations positively impacts their usefulness and satisfaction towards WMDs. Moreover, satisfaction towards WMDs is the strongest predictor of users’ CI, followed by perceived usefulness. Interestingly, personal factor such as health beliefs reveals a greater influence on perceived usefulness than technological factors like health information accuracy and privacy protection.

The study findings demonstrate the significance of using the expectation-confirmation perspective in technology-based studies in general and WMDs, in particular. This study aids by offering an integrated model of WMD’s continued usage intention for the users, in addition to practical implications for marketers and policymakers.

A paucity of research exists when understanding the predictors of CI for WMDs. This study fills this gap and adds to behavioural literature by offering a noble viewpoint involving an extended ECM perspective.

Guided by the Comprehensive Model of Information Seeking (CMIS), this article identifies significant predictors that impact individuals seeking COVID-19 information. People with different political ideologies read contradictory information about the COVID-19 pandemic. However, how political ideology may affect COVID-19 information seeking remains unclear. This study explores the major information channels for individuals with different political ideologies to seek COVID-19 information. It further examines how political ideologies influence CMIS's effectiveness in predicting online health information-seeking.

This study collected 394 completed survey responses from adults living in the United States after the 2020 lockdown. ANOVA analyses revealed the differences in salience, beliefs, information carrier characteristics, utilities and information-seeking actions between Liberals and Conservatives. Regression analyses discovered variables that predict Liberals' and Conservatives' online health information seeking.

Results suggest that the internet is the top channel for COVID-19 information seeking. Compared to Conservatives, Liberals report more COVID-19 information-seeking actions. Liberals also express stronger salience, perceive higher trustworthiness of online COVID-19 information, are more likely to think of seeking online COVID-19 information as useful and helpful and report more substantial efficacy to mitigate the risk. Most CMIS variables predict Liberals' information seeking; however, only salience significantly predicts Conservatives' information seeking.

This article indicates that CMIS should include political ideology to refine its prediction of information seeking. These findings offer practical implications for designing health messages, enhancing information distribution and reducing the public's uncertainty.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2022-0436.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.