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Notwithstanding their potential benefits especially for individuals with low health literacy, users are still somewhat skeptical about the reliability of healthcare chatbots. The present study aims to address this challenge by investigating strategies to enhance users’ cognitive and emotional trust in healthcare chatbots. Particularly, this study aims to understand the effects of chatbot design cues in increasing trust and future chatbot use intention for low health literacy users.

We conducted two experimental studies with a final sample of 327 (Study 1) and 241 (Study 2). Three different chatbots were developed (Chatbot design: Bot vs Male-doctor vs Female-doctor). Participants were asked to have a medical consultation with the chatbot. Participants self-reported their health literacy scores. The PROCESS model 7 was used to analyze the hypotheses.

The results showed that the female-doctor cues elicited greater cognitive and emotional trust, whereas the male-doctor cues only led to greater cognitive trust (vs bot-like cues). Importantly, this study found that users’ health literacy is a significant moderating factor in shaping cognitive and emotional trust. The results indicated that both the female and male-doctor cues’ positive effects on cognitive trust were significant for those with lower levels of health literacy. Furthermore, the positive effect of the female-doctor cues on emotional trust was also significant only for those whose health literacy level was low. The increased cognitive and emotional trust led to greater future intention to use the chatbot, confirming significant moderated mediation effects.

Despite the strong economic and educational benefits of healthcare chatbots for low health literacy users, studies examining how healthcare chatbot design cues affect low health literate users surprisingly remained scarce. The results of this study suggest that healthcare chatbots can be a promising technological intervention to narrow the health literacy gap when aligned with appropriate design cues.

This correlational study conducted at Ban Phaeo Hospital, Thailand, aimed to assess the health literacy levels of 105 older adult stroke survivors from November 2021 to February 2022.

The study uncovered a moderate level of health literacy among participants, as indicated by a mean score of 66.85 (SD = 8.151).

Significant positive correlations were observed between health literacy and several key factors, including patient-provider relationships (r = 0.550, p < 0.001), social support (r = 0.548, p < 0.001) and perceived health status (r = 0.484, p < 0.001). These findings emphasize the interconnectedness of health literacy with critical elements of healthcare engagement and well-being.

To advance stroke prevention in the older adult population, future research should focus on evaluating nurse-led interventions designed to enhance health literacy.

Raising awareness about the influence of patient-provider relationships, social support networks and perceived health status represents the initial stride toward a successful strategy for elevating health literacy and preventing recurrent strokes in this demographic.

This work is entirely original, all authors listed contributed to the project and have approved the final draft for submission. This work of art has not been published or is under consideration elsewhere. This study addresses the crucial gap in the literature by uncovering moderate health literacy levels among older adult stroke survivors. It delves into the intricacies of health literacy in this population, establishing correlations with patient-provider relationships, social support and perceived health status. The study emphasizes the critical role of health literacy in healthcare engagement and well-being, advocating for nurse-led interventions to enhance health literacy and prevent recurrent strokes in older adults.

This study aims to explore how people with concurrent mental health and substance use disorders and lived experience of deep social marginalization perceived barriers and facilitators to mainstream social participation. The purpose of this study is to identify meaningful and relevant learning content for a virtual reality-based intervention to promote social participation in this group.

This formative qualitative study was conducted in Norway during Autumn 2022. Nine in-depth individual interviews with adults recovering from dual diagnosis were conducted, audiotaped, transcribed and analysed using reflexive thematic analysis in a collaborative analysis process.

Results indicated that social alienation, poor social skills, stigma, low self-esteem and social anxiety were key barriers to social participation in this group. This study suggests a need to learn appropriate social behaviour in mainstream society, in addition to better employability skills, civic literacy and health literacy to improve utilization of social opportunities.

This study implies that virtual reality-based interventions for promoting social participation in people with dual diagnosis should primarily focus on learning and practising appropriate social behaviour in shared public spaces before practising advanced social skills such as employability skills in simulated work environments. Learning and practising social skills appears decisive for using more complex social opportunities, such as in education, health, social services and work.

This research provides suggestions for the content of a novel virtual reality-based intervention to promote social participation among people in recovery from dual diagnosis.

This study examined how people assess health information from AI and improve their diagnostic ability to identify health misinformation. The proposed model was designed to test a cognitive heuristic theory in misinformation discernment.

We proposed the heuristic-systematic model to assess health misinformation processing in the algorithmic context. Using the Analysis of Moment Structure (AMOS) 26 software, we tested fairness/transparency/accountability (FAccT) as constructs that influence the heuristic evaluation and systematic discernment of misinformation by users. To test moderating and mediating effects, PROCESS Macro Model 4 was used.

The effect of AI-generated misinformation on people’s perceptions of the veracity of health information may differ according to whether they process misinformation heuristically or systematically. Heuristic processing is significantly associated with the diagnosticity of misinformation. There is a greater chance that misinformation will be correctly diagnosed and checked, if misinformation aligns with users’ heuristics or is validated by the diagnosticity they perceive.

When exposed to misinformation through algorithmic recommendations, users’ perceived diagnosticity of misinformation can be predicted accurately from their understanding of normative values. This perceived diagnosticity would then positively influence the accuracy and credibility of the misinformation.

Perceived diagnosticity exerts a key role in fostering misinformation literacy, implying that improving people’s perceptions of misinformation and AI features is an efficient way to change their misinformation behavior.

Although there is broad agreement on the need to control and combat health misinformation, the magnitude of this problem remains unknown. It is essential to understand both users’ cognitive processes when it comes to identifying health misinformation and the diffusion mechanism from which such misinformation is framed and subsequently spread.

The mechanisms through which users process and spread misinformation have remained open-ended questions. This study provides theoretical insights and relevant recommendations that can make users and firms/institutions alike more resilient in protecting themselves from the detrimental impact of misinformation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-04-2023-0167

There are two main objectives in this study. First, we aim to develop a set of constructs for health task management support (HTMS) features to evaluate which health-related tasks are supported by mobile health application (mHealth app) functions. Second, drawing on innovation resistance theory (IRT), we examine the impacts of the newly developed HTMS dimensions on perceived usefulness, alongside other barrier factors contributing to technology anxiety.

Using a mixed-method research design, this research seeks to develop new measurement scales that reflect how mHealth apps support older adults’ health-related needs based on interviews. Subsequently, data were collected from older adults and exploratory factor analysis was used to confirm the validity of the new scales. Partial least squares structural equation modeling (PLS-SEM) was used to analyze survey data from 602 older adults.

The PLS-SEM results indicated that medical management task support, dietary task support, and exercise task support were positively associated with perceived usefulness, while perceived complexity and dispositional resistance to change were identified as antecedents of technology anxiety. Perceived usefulness and technology anxiety were found to positively and negatively influence adoption intention, respectively.

This study enriches the information systems literature by developing a multidimensional construct that delineates how older adults’ health-related needs can be supported by features of mHealth apps. Drawing on IRT, we complement the existing literature on resistance to innovation by systematically examining the impact of five types of barriers on technology anxiety.

Vulnerabilities in subsistence marketplaces arise from the multifaceted deprivation that characterizes poverty. Associated with low income is low literacy, leading to vulnerabilities in terms of thinking, feeling, and coping. We review literature on vulnerability and on subsistence marketplaces, bringing out the confluence of vulnerabilities consumers in these contexts face. We also describe marketplace literacy, a way of addressing vulnerabilities and developing capabilities. We provide a case study of women in agriculture and conclude with a discussion of implications for research, education, and practice.

This study aims to examine consumer purchase behavior towards E-pharmacy from a consumption value perspective. For this purpose, the influence of consumption values on consumer purchase intention is evaluated. Further, the role of consumer involvement in online purchase setup in the context of E-pharmacy is observed using moderation analysis.

The study used a cross-sectional survey design, wherein the respondents in the Delhi-National Capital Region of India were approached using a purposive sampling method. Responses received through the structured questionnaire were subjected to analysis using Smart PLS Version 4.0.9.6.

Results indicate a significant influence of functional (partial), emotional, social and conditional values on consumers’ purchase intention. Moreover, the moderation effect of consumer online involvement is seen in functional value (partial) and emotional value–purchase intention relationships.

This study reinforces the use of the consumption value perspective to explain consumer purchase behavior toward information system (IS)-based platforms such as E-pharmacy. Some of the results, in this context, that did not establish significant relationships between a given form of consumption values and purchase intention, open up the possibilities of retesting the said relationships in the future. The researchers would realize the benefit of such examinations, as the E-pharmacy sector further evolves and matures in the future. Further, the successful establishment of a significant moderating role of consumer online involvement in certain consumption value-purchase intention relationships such as safety, perceived convenience and comfort value paves the way for future researchers to explore consumer online involvement for a similar role in IS research.

This study provides cues for E-pharmacy marketers to focus on enhancing product safety, usage comfort, users’ social image and awareness toward health consciousness that will help build purchase intention and assist in overcoming the challenges in the long run. It further suggests that marketers should have a strong re-look at forming price value perceptions and they must enhance the interactive features of the company’s mobile apps/websites with the help of the emerging artificial intelligence tools to re-orient the epistemic value and perceived convenience value toward E-pharmacy services. Furthermore, this study recommends following digital marketing practices to increase consumer online involvement, which would help strengthen perceived convenience formation that would otherwise be difficult to attain for E-pharmacy consumers.

This study provides novel insight into consumer purchase intention evaluation through the consumption value perspective in an emerging E-pharmacy market. The consumption value frame of reference helps to understand consumers’ buying rationale that affects their buying behavior beyond the initial adoption. Further, the moderation analysis of consumer online involvement provides an additional dimension to understanding consumer buying behavior concerning E-pharmacy.

This study aims to investigate the current practices being implemented against the dissemination of fake online news, identify the relationship of new media literacy (NML) with fake news epidemic control and find out the challenges in identifying valid sources of information.

To accomplish constructed objectives of this study, a systematic literature review (SLR) was conducted. The authors carried out the “Preferred Reporting Items for the Systematic Review and Meta-analysis” guidelines as a research methodology. The data were retrieved from ten world’s leading digital databases and online tools. A total of 25 key studies published in impact factor (IF) journals were included for systematic review vis-à-vis standard approaches.

This study revealed trending practices to control fake news consisted of critical information literacy, civic education, new thinking patterns, fact-checkers, automatic fake news detection tools, employment of ethical norms and deep learning via neural networks. Results of the synthesized studies revealed that media literacy, web literacy, digital literation, social media literacy skills and NML assisted acted as frontline soldiers in combating the fake news war. The findings of this research also exhibited different challenges to control fake news perils.

This study provides pertinent theoretical contributions in the body of existing knowledge through the addition of valuable literature by conducting in-depth systematic review of 25 IF articles on a need-based topic.

This scholarly contribution is fruitful and practically productive for the policymakers belonging to different spectrums to effectively control web-based fake news epidemic.

This intellectual piece is a benchmark to address fake news calamities to save the social system and to educate citizens from harms of false online stories on social networking websites.

This study vivifies new vistas via a reinvigorated outlook to address fake news perils embedded in dynamic, rigorous and heuristic strategies for redefining a predetermined set of social values.

This study investigates the pathways for adopting IoTs and BDA technologies to improve healthcare management.

The study relied on 445 healthcare professionals' perspectives to explore different causal pathways to IoTs and BDA adoption and usage for daily healthcare management. The Fussy-set Qualitative Comparative Analysis was adopted to explore the underlying pathways for healthcare management.

The empirical analysis revealed six different configural paths influencing the acceptance and use of IoTs and BDA for healthcare improvement. Two key user topologies from the six configural paths, digital literacy and ease of use and social influence and behavioural intentions, mostly affect the paths for using digital health technologies by healthcare physicians.

Despite this study's novel contributions, limitations include the fsQCA methodology, perceptual data and the context of the study. The fsQCA methodology is still evolving with different interpretations, although it reveals new insights and as such further studies are required to explain the configural paths of social phenomena. Additionally, future research should consider other constructs beyond the UTAUT and digital literacy to illustrate configural paths to healthcare technology acceptance and usage. Again, the views of healthcare professionals are perceptual data. Hence future research on operational data will support significant contributions towards pathways to accept and use emerging technologies for healthcare improvement. Lastly, this study is from a developing country perspective where emerging digital healthcare technology is still emerging to support healthcare management. Hence, more investigation from other cross-country analyses of configural paths for digital technology deployment in healthcare will enhance the conversation with IoTs and BDA for healthcare management.

Holistically, the acceptance and use of healthcare technologies and platforms is not solely on their capabilities, but a combination of distinct factors driven by users' perspectives. This offers healthcare administrators and institutions to essentially reflect on the distinct combinations of conditions favourable to health professionals who can use IoTs and BDA for healthcare improvement.

This study is among the few scholarly works to empirically investigate the configural paths to support healthcare improvement with emerging technologies. Using fsQCA is a unique contribution to existing information system literature for configural paths for healthcare improvement with emerging digital technologies.

This study explores green consumer behaviour among Generation Y (Gen Y) and Generation Z (Gen Z) in India, applying the Theory of Planned Behaviour (TPB) to assess how digital literacy and eco-friendly behaviour, alongside knowledge, attitude, subjective norms, and perceived behavioural control, shape purchase intentions in line with Sustainable Development Goal 12 (SDG 12).

The research involved a survey of 680 randomly selected respondents from educational institutions across three northern Indian cities. Data collection was conducted using a structured questionnaire with items measured on a 5-point Likert scale. Statistical methods, including confirmatory factor analysis, were used to validate the measurement model, while descriptive statistics, reliability analysis, and regression analysis were employed to analyse the data.

The study uncovers differences between Gen Y and Gen Z regarding the factors influencing green product purchase intentions. Gen Y’s purchase intentions are shaped by attitude, digital literacy, eco-friendly behaviour, and perceived behavioural control, whereas Gen Z’s intentions are also affected by environmental knowledge and subjective norms.

This research provides significant insights into the factors determining green consumer behaviour among Gen Y and Gen Z in India, enriching the knowledge of sustainable consumption practices. It highlights the importance of digital literacy and eco-friendly behaviour in promoting green purchase intentions, and the differing roles of environmental knowledge and subjective norms across generational cohorts.

Understanding the drivers behind green product purchase intentions for Gen Y and Gen Z enables stakeholders to craft specific marketing strategies, educational programs, and policy initiatives that promote sustainable behaviours and mitigate environmental impacts.

The study’s findings have significant social implications, promoting sustainable lifestyles and behaviours among younger generations. By influencing peer groups and communities, and guiding the development of effective public campaigns and CSR initiatives, the study contributes to fostering a more informed and engaged citizenry that advocates for environmental sustainability.

The uniqueness of this study comes from its focus on the Indian youth demographic, the application of the TPB framework with additional variables, and its contribution to SDG 12, enhancing our comprehension of green consumer behaviour and supporting sustainability advancements in India and globally.