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The purpose of this study is to examine diverse risks and barriers that influence customers' attitude leading to their actual use of wearable devices in India. This study used technological literacy as a moderating variable to understand the relationship between barriers and attitudes toward adoption of wearable device.

A survey questionnaire was developed through focused group discussions with field experts. Data were collected through online as well as offline modes. A Google form was created and its weblink was shared with the respondents using wearable devices. Both online as well as offline modes were used for data collection. Several reminders through telephone and revisits were undertaken to approach the respondents.

The results of this study indicated that psychological risk and financial risk emerged strongest barriers of wearable technologies. This was followed by infrastructure barriers and performance risk. The strength of the relationship between technological anxiety and attitudes was lower but still significant. Surprisingly, privacy risk and social risk were not statistically significant. This study also validated the impact of technological literacy as a moderator between risks and attitudes.

This study contributes to the research by validating numerous risks and barriers in the adoption of wearable devices. This study not only offers a novel perspective on researching diverse barriers but also elucidates the moderating role of technological literacy which has not been covered in extant literature.

Artificial intelligence (AI) can enhance human resource resiliency (HRR) by providing the insights and resources needed to adapt to unexpected changes and disruptions. Therefore, the present research attempts to develop a framework for future researchers to gain insights into the actions of AI to enable HRR.

The present study used a systematic literature review, bibliometric analysis, and network analysis followed by content analysis. In doing so, we reviewed the literature to explore the present state of research in AI and HRR. A total of 98 articles were included, extracted from the Scopus database in the selected field of research.

The authors found that AI or AI-associated techniques help deliver various HRR-oriented outcomes, such as enhancing employee competency, performance management and risk management; enhancing leadership competencies and employee well-being measures; and developing effective compensation and reward management.

The present research has certain implications, such as increasing the HR team's proficiency, addressing the problem of job loss and how to fix it, improving working conditions and improving decision-making in HR.

The present research explores the role of AI in HRR following the COVID-19 pandemic, which has not been explored extensively.

This study aims to analyze the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on the behavioral intention of using mobile health applications, especially during and after the COVID-19 pandemic.

A survey was developed using an online survey platform and distributed to Indonesian consumers for three weeks, and 149 usable responses were obtained. The principal component analysis, linear regression and analysis of variance tests were performed to test the validity and reliability of the measurement model and the hypothesized relationships among constructs.

Surprisingly, unlike previous studies on IT adoption, the findings show that social influence has no significant impact on behavioral intention. Facilitating conditions have a very weak to almost no significant impact on behavioral intention to use mobile health applications.

This research is conducted during pandemic COVID-19 where using mobile health apps is a must. In the future this research can be expanded as comparison study after the pandemic COVID-19 stated.

The result implies that digital technologies adoption intention is strongly affected by performance expectancy and effort expectancy, with performance expectancy as the most significant predictor. Nonetheless, the interaction of performance expectancy, effort expectancy, social influence and facilitating conditions influences behavioral intention significantly. Therefore, social influence and facilitating conditions are still important even with very insignificant effects.

To improve consumers’ behavioral intention to use mobile health applications, application providers should promote mobile health applications as useful telemedicine tools by primarily focusing on the application performance and usage experience.

This study aims to assess tribal women’s health information literacy in their daily lives. The specific objectives are to determine the tribe’s interest and frequency of seeking health-related information, to know their preferred health information sources and health-care methods for treatment and to find out the prospective barriers to searching for and finding health-related information.

A well-structured questionnaire was designed and surveyed among the tribal women of Khagrachhari, Bandarban and Mymensingh districts in Bangladesh. Stratified sampling was used, and 326 responses were retrieved. The collected data were analyzed using Statistical Package for Social Sciences version 20 and Microsoft Excel.

Most of the tribal women are satisfied with their current health condition. Though they are highly interested in health-related information, they are very unusual in terms of searching for this kind of information. Vaccination information is their most desired information, and allopathic treatment is highly preferred by them. In this regard, they consult with doctors at nearby community clinics or government hospitals for different health issues. However, health information terminologies are often difficult for them to understand. High costs, lack of awareness and distance from health centers are significant barriers for tribal women seeking health-related information.

To the best of the authors’ knowledge, this is the first known effort in a developing country to study tribal women’s concerns regarding health-related issues.

The advancement of digital technological breakthroughs in the construction industry is dependent on connecting the attributes of the intended consumers to the technologies. Thus, this study aims to look at the relationship between construction app acceptance and the digital qualities of construction professionals (CPs) to determine whether understanding the connection can assist predict construction app user behaviour.

This study’s theoretical approach was derived from the European Union digital competence model, which supports the hypothesis that the traits associated with digital competence enable digitally competent CPs to embrace construction apps. Six hypotheses were developed to investigate the theories, and multiple linear regression analysis was used to predict the acceptance of construction apps based on the CP’s attributes.

The investigation’s findings revealed that the CP’s attributes can explain at least 50% of the proportion of variance in 34 construction apps. The use of a smartphone (Mean Score = 3.30; Factor Loading = 0.609), technological orientation (Mean Score = 3.55; Factor Loading = 0.663), information technology skills (Mean Score = 3.48; Factor Loading = 0.649), information on construction innovation (Mean Score = 3.73; Factor Loading = 0.528) and interest in R&D (Mean Score = 3.48; Factor Loading = 0.531) are the digital characteristics that can essentially forecast the acceptance of construction apps. The data backs up the notion that CPs would gain digital competency before accepting construction apps. This is because a digitally savvy CP will most likely embrace construction apps.

Frameworks for accelerating digital technologies and innovations in the construction industry have been unveiled in this study. The research also gives recommendations for the evaluation, design and implementation of a more attractive construction app. This study also has implications for investigating the impacts of risk aversion, personal connection, social influence, technological curiosity and digital nativity as predictors of construction app uptake.

The findings of this study serve as an index for prioritising digital traits for CPs and characterising a digitally proficient construction professional. The findings provide recommendations for organising, training and supporting construction personnel’ digital competencies. The research is useful for developing and implementing instructional digital training programmes.

This study is unusual in that it provides clear insights on construction apps as well as variables for building great user-experience apps for CPs, which are both limited in the literature.

Although wearable health-monitoring technology (WHMT) has become a stimulus for public health, women’s acceptance rate of this technology appears to be low. Thus, this study intends to investigate the factors affecting women’s adoption of WHMT.

The unified theory of acceptance and use of technology–2 model has been used in this study as a research framework that has been extended to include lifestyle and attitude. The proposed extended framework is validated using primary data (n = 314) collected from female respondents using a structured questionnaire; the partial least square-based structural equation modeling technique is subsequently used to test the proposed hypothesis.

The results show that effort expectancy, social influence, price value, habit, attitude and lifestyle have significant positive effects on women’s behavioral intention to use WHMT and accelerate actual usage behavior. Notably, effort expectancy and habit exhibit the largest impact on behavioral intention. However, performance expectancy, facilitating conditions and hedonic motivation are not significantly associated with behavioral intentions.

The findings of this study are important for healthcare practitioners and service providers to comprehensively understand the factors that affect women’s behavioral intentions in line with their actual usage behavior. This insight will help policymakers design viable strategies regarding WHMT to promote its sustainable usage in least developed countries.

This study contributes novelty by using an extended model that links women’s attitudes and lifestyles to their adoption of WHMT. This study also fills the gaps in the existing literature on women’s behavioral intentions in the context of WHMT by showing novel associations in the domain of WHMT uptake.

Establishing and developing digital science and education evaluation platforms (DSEEPs) have several practical implications for the development of China's science, technology and education. Identifying and analyzing the key factors influencing DSEEP user experience (UX) can improve the users' willingness to use the platform and effectively promote its sustainable development.

First, a literature survey, a five-element model of UX and semi-structured interviews were used in this study to develop a DSEEP UX-influencing factor model, which included five dimensions and 22 influencing factors. Second, the model validity was verified using questionnaire data. Finally, the key influencing factors were identified and analyzed using a fuzzy decision-making trial and evaluation laboratory (fuzzy-DEMATEL) method.

Fourteen influencing factors, including diverse information forms and comprehensive information content, are crucial for the DSEEP UX. Its optimization path is “‘Function Services’ → ‘Information Resources’ → ‘Interaction Design’ → ‘Interface Design’ and ‘Visual Design’.” In this regard, platform managers can take the following measures to optimize UX: strengthening functional services, improving information resources, enhancing the interactive experience and considering interface effects.

This study uses a combination of qualitative and quantitative research methods to determine the key influencing factors and optimization path of DSEEP UX. Optimization suggestions for UX are proposed from the perspective of platform managers, who provide an effective theoretical reference for innovating and developing a DSEEP.

In the present era, digital technology can be used responsibly to provide developed and developing countries with high-quality health-care services to nations. This study aims to explore Saudi Arabia’s intentions to adopt digital health-care practices.

To be consistent with previous studies, this study used a quantitative methodology to collect the data from health-care professionals working in Saudi Arabia’s public and private health institutes. Consequently, this study’s findings are based on 306 valid samples.

On the one hand, the path analysis reveals that health-care professionals believe in perceptions relating to the use of e-health and technology (PEHT) and experiences regarding internet use (ERIU) and that these have positive and significant effects on attitudes toward the use of e-health and technology (ATEHT) and intentions to use e-health services (ITUES). On the other hand, barriers to using e-health (BUEH) negatively impact ATEHT and ITUES. Finally, ATEHT also has a positive and significant effect on ITUES.

This study’s findings will help Saudi Arabia’s policymakers and the country’s health ministry to develop policies to provide e-services that health-care professionals can use to improve the quality of the country’s health care, patients’ human rights and social care. Furthermore, this study’s findings are helpful in developing attitudes and intentions toward either e-health or digital health to provide better health facilities to serve Saudi Arabia’s citizens.

This study empirically confirms among Saudi Arabia’s health-care professionals the PEHT, ERIU and BUEH toward ATEHT and ITUES.

This study aims to examine the volume of ehealth literacy documents during 2006–2022, and the nature of citation of ehealth documents by country, organizations, sources and authors.

The study adopted a bibliometric approach. Bibliographic data was collected on citation of ehealth documents by country, organizations, sources and authors from Scopus and mapped and visualized the citations using VosViewer.

A total of 1,176 documents were produced during 2006–2022, indicating a high rate of document production in this sub-discipline. Among the 102 countries that contributed documents on the subject, 58 qualified for the analysis. The USA had the highest number of cited documents on eHealth literacy, followed by Canada and Australia. The average publication year for the USA was 2018, with 348 publications and an average of 24.12 citations. Canada had a high average citation count of 44.69. Furthermore, the document examined citations by organizations.

The research implications of the study suggest that eHealth literacy is an actively growing field of research, with a substantial impact on the academic community, and researchers should focus on collaboration with high-impact institutions and journals to increase the visibility and recognition of their work, while also paying attention to the need for more research representation from African countries.

The study’s findings indicate a high rate of document production and growing interest in eHealth literacy research, with the USA leading in the number of cited documents followed by Canada, while Canadian eHealth literacy research receives relatively higher citation rates on average than the USA.

The study’s originality lies in its examination of citation patterns and global contributions to eHealth literacy literature, offering valuable insights for researchers. It identifies key authors, high-impact journals and institutions, providing valuable guidance for collaboration. The research highlights a growing interest in eHealth literacy, underscoring its potential impact on public health and digital health interventions.

This study was carried out to examine the volume and annual growth pattern of research on e-health literacy research, investigate the open-access types of e-health literacy research and perform document production by country and by sources. The study also mapped the keywords used by authors to represent e-health literacy research and performed an analysis of the clusters of the keywords to reveal the thematic focus of research in the area.

The research was guided by a bibliometric approach involving visualization using VosViewer. Data were sourced from Scopus database using a syntax that was tested and verified to be capable of yielding reliable data on the subject matter. The analysis in this study was based on bibliographic data and keywords.

A total number of 1,176 documents were produced during 2006 and 2022. The majority of the documents (18.90%) were published based on hybrid open-access processes, and the USA has the highest contributions. The Journal of Medical Internet Research is the venue for most of the documents on the subject. The 1,176 documents were described by 5,047 keywords, 4.29 keywords per document, and the keywords were classified into five clusters that aptly capture the thematic structure of research in the area.

e-Health literacy has experienced significant growth in research production from 2006 to 2022, with an average of 69 documents per year. Research on e-health literacy initially had low output but began to increase in 2018. The majority of e-health literacy documents are available through open access, with the USA being the leading contributor. The analysis of keywords reveals the multifaceted nature of e-health literacy, including access to information, attitudes, measurement tools, awareness, age factors and communication. Clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers and effective communication in healthcare.

This study has practical implications for health promotion. There is also the element of patient empowerment in which case patients are allowed to take an active role in their healthcare. By understanding their health information and having access to resources that help them manage their conditions, patients can make informed decisions about their healthcare. Finally, there is the issue of improved health outcomes which can be achieved by improving patients' e-health literacy. Visualisation of e-health literacy can help bridge the gap between patients and healthcare providers, promote patient-centered care and improve health outcomes.

Research production on e-Health literacy has experienced significant growth from 2006 to 2022, with an average of 69 documents per year. Many e-health literacy documents are available through open access, and the USA is the leading contributor. The analysis of keywords reveals the nature of e-health literacy, including access to information, attitudes, measurement tools, awareness and communication. The clusters of keywords highlight different aspects of e-health literacy research, such as accessibility, attitudes, awareness, measurement tools and the importance of age, cancer, caregivers, and effective communication in healthcare.