Health information privacy concerns, antecedents, and information disclosure intention in online health communities

How power distance affects online hotel ratings: the positive moderating roles of hotel chain and reviewers' travel experience.

Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites.

Willingness to provide personal information: Perspective of privacy calculus in IoT services

With the outbreak of COVID-19, contact tracing is becoming a used intervention to control the spread of this highly infectious disease. This article explores an individual’s intention to adopt COVID-19 digital contact tracing (DCT) apps. A conceptual framework developed for this article combines the procedural fairness theory, dual calculus theory, protection motivation theory, theory of planned behavior, and Hofstede’s cultural dimension theory. The study adopts a quantitative approach collecting data from 714 respondents using a random sampling technique. The proposed model is tested using structural equation modeling. Empirical results found that the perceived effectiveness of privacy policy negatively influenced privacy concerns, whereas perceived vulnerability had a positive influence. Expected personal and community-related outcomes of sharing information positively influenced attitudes toward DCT apps, while privacy concerns had a negative effect. The intention to adopt DCT apps were positively influenced by attitude, subjective norms, and privacy self-efficacy. This article is the first to empirically test the adoption of DCT apps of the COVID-19 pandemic and contributes both theoretically and practically toward understanding factors influencing its widespread adoption.

/pdf/digital-health-innovation-exploring-adoption-of-covid-19-wdplr0ik00.pdf

Digital Health Innovation: Exploring Adoption of COVID-19 Digital Contact Tracing Apps

Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users

Although health question-and-answer (Q&A) communities have become popular in recent years, only a few communities have successfully retained and motivated their members to share knowledge. The purpose of this paper is to focus on the ways by which social capital and motivation influence knowledge sharing intention from the perspectives of health professionals and normal users in health Q&A communities.,The developed theoretical model integrates individual motivation and social capital theories. On the basis of a sample comprising 363 members from health Q&A communities in China, the authors tested the hypotheses by using structural equation modeling.,This study empirically finds that social capital positively affects intrinsic and extrinsic motivations, which then positively influence the intention of health professionals and normal users to share knowledge. Motivations of members fully mediate the effects of social capital on knowledge sharing intention. Specifically, intrinsic motivation influences knowledge sharing intention more for health professionals than for normal users, whereas extrinsic motivation influences knowledge sharing intention more for normal users than for health professionals.,This study explores the factors that affect the intentions of sharing knowledge in health Q&A communities by integrating social capital and motivation theories. Individual motivations can then bridge social capital and knowledge sharing intention. The effects of the intrinsic and extrinsic motivations of two user types were further examined and compared. These findings can extend the understanding of the underlying drivers of intention to share knowledge in the context of e-health.

Social capital, motivations, and knowledge sharing intention in health Q&A communities

Despite the importance of adoption of mobile health services by an organization on the diffusion of mobile technology in the big data era, it has received minimal attention in literature. This study investigates how relative advantage and perceived credibility affect an organization’s adoption of mobile health services, as well as how environmental uncertainty changes the relationship of relative advantage and perceived credibility with adoption. A research model that integrates relative advantage, perceived credibility, environmental uncertainty, and an organization’s intention to use mobile health service is developed. Quantitative data are collected from senior managers and information systems managers in 320 Chinese healthcare organizations. The empirical findings show that while relative advantage and perceived credibility both have positive effects on an organization’s intention to use mobile health services, relative advantage plays a more important role than perceived credibility. Moreover, environmental uncertainty positively moderates the effect of relative advantage on an organization’s adoption of mobile health services. Thus, mobile health services in environments characterized with high levels of uncertainty are more likely to be adopted because of relative advantage than in environments with low levels of uncertainty.

/pdf/how-environmental-uncertainty-moderates-the-effect-of-59g3i7gt8q.pdf

How Environmental Uncertainty Moderates the Effect of Relative Advantage and Perceived Credibility on the Adoption of Mobile Health Services by Chinese Organizations in the Big Data Era

Xing Chen

Papers

Health information privacy concerns, antecedents, and information disclosure intention in online health communities

Knowledge sharing motivations in online health communities: A comparative study of health professionals and normal users

Social capital, motivations, and knowledge sharing intention in health Q&A communities

How Environmental Uncertainty Moderates the Effect of Relative Advantage and Perceived Credibility on the Adoption of Mobile Health Services by Chinese Organizations in the Big Data Era