Do You Still Trust?

Recently, data breaches, especially insider data breaches, have become increasingly common. However, there is a limited amount of research on the factors associated with the decrease in users' trust in response to these events. In this study, social role theory and socioemotional selectivity theory are applied to understand the role of age (younger and older), biological (male and female) and cultural (masculinity and femininity) gender, and the four dimensions of privacy concern-collection, secondary use, unauthorized access, and error-on initial trust and the corresponding decrease in trust associated with the three trust beliefs of ability, benevolence, and integrity. A scenario-based approach is used to focus on a case study of an insider breach. The findings also provide helpful insights into the comparative roles of trust builders (e.g., reputation and design) and trust crashers (e.g., privacy concerns) in the process of trust building and trust decrease in different demographics (e.g., older and younger, males and females) for overall trust and trusting beliefs. Theoretical, managerial, and social implications are discussed.

Willingness to Participate in Biobanking: The Roles of Personality Traits and Interpersonal Trusting Beliefs

Health-related philanthropy is essential for biobanks. Nonetheless, little is known about the roles of personality and trust in particular with respect to participation in biobanking. In a sample of 600 Slovaks, the present study aimed to examine whether interpersonal trusting beliefs mediate the relationships between the Big Five personality traits and the willingness to participate in biobanking. The results showed that extraversion, agreeableness and open-mindedness were indirectly positively related to the willingness to participate in biobanking, while conscientiousness showed mixed results. Self-focused generalised trust, other-focused generalised trust, and trust in medical researchers appeared to be factors explaining these indirect relationships. The findings provide support for the theory of planned behaviour and can be applied in communication and recruitment strategies attempting to attract participants of biobanking.

A Sudden Screen Learning Student Acceptance Model (SSL)

COVID-19 pandemic has forced schools and academic institutions all over the world to shift to remote online learning overnight. This is the longest disruption to the traditional face-to-face (physical) classroom learning ever. As the shift was unexpected, many stakeholders including teachers, administrators, parents and the students themselves have to embrace the Sudden Screen Learning (SSL) with or without sufficient resources, strategy and plans. As a result of social distancing in order to curb the spread of the pandemic, some students struggled to catch up with online learning challenges as family incomes deteriorated. This research intended to investigate the factors that push private university students to accept and adopt the sudden, remote online learning by applying the UTAUT constructs namely Performance Expectancy (PE), Effort Expectancy (EE), Subjective Norms (SN) and Facilitating Conditions (FC), taking into account the students’ Learning Styles as well as the moderating effect of Trusting Beliefs. The expected outcomes of the research will provide useful insights to the school administrators and regulators in understanding students’ SSL actual usage behaviour, thus, devising effective e-curriculums that will adhere to the same or even better quality of education as an assurance to the future of the younger generations.

Modelling users' trust in online health rumours: an experiment-based study in China

Introduction. With the increasing availability of information on the Internet, online rumours have become prevalent, and it is not uncommon for search engines to return unverified rumours about health. However, false information in such domains may lead to serious consequences if it gains users' trust. An understanding of the characteristics of online health rumours that users' trust is important for fighting their spread. Method. Using real-world online health rumour data from a Chinese database, the authors investigated the predictors of users' trust in online health rumours. An experiment (n = 30) and interviews (n = 10) were conducted to examine how users evaluate particular types of health rumours. Analysis. The effects of rumours' manner of presentation and the perceived information quality on users' trust were tested using ANOVA (with SPSS software) for the quantitative data collected in the experiment. The qualitative component applied content analysis of the interview data to further explain the results produced by the quantitative analysis. Results. The impact of pictures (one dimension of rumour presentation) on users' trust varies, depending on the perceived quality of the pictures displayed with the online health rumours, and informativeness (a dimension of information quality) is an influential predictor of trusting beliefs. Conclusions. The paper serves the aim of highly effective prediction of users' trust in online health rumours, and it contributes new insights for proactively evaluating the hazard level of a particular online health-rumour item.

Role Of Trusting Beliefs In Predicting Online Purchase Intentions

Consumer behavior in every country, especially developing countries, must be different from consumer behavior in developed countries. This is a challenge faced by online shopping platforms to enter the Indonesian market by developing a new culture in terms of online shopping, as well as fostering trust in consumers in the products offered in order to attract consumer purchases. The success of a company in this case is e-commerce, namely the trust that is felt so that consumers have an interest in buying. Five marketplaces, namely Shopie, Bukalapak, Tokopedia, Lazada, and Blibi.com as providers of online product sales vendors from abroad must build trust that can be trusted for consumers, especially millennial consumers, in making transactions through online which causes consumer purchase interest, especially millennial consumers. Who are close to the development of the internet and receive new information in conducting online transactions.The design of this study uses an explanative analysis method by taking samples and questionnaires as the main tools, with the criteria of millennial consumer respondents, knowing products sold from abroad, and never product transactions from abroad. The data collected in this study were 110 respondents. By using the analysis technique of Structural Equation Modeling (SEM).The results showed that Uncertainty Avoidance had a negative and insignificant effect on Trusting Beliefs; Price Fairness had a positive and significant effect on Trusting Beliefs. Firm's Reputation has a positive and significant effect on Trusting Beliefs, and Trusting Beliefs has a positive and significant effect on Purchase Intention.

An investigation of the consumer’s trusting mechanism in emerging healthcare technology

PurposeThe purpose of this research is to investigate how the consumer’s trusting mechanism influences their behavioral adoption intention in the context of genetic testing.Design/methodology/approachBased on the technology acceptance theory and trust formation theory, the research posits and develops a comprehensive trust model by integrating trust-related factors that correlate to the consumer’s trusting beliefs and trusting intention. Survey data with 525 respondents allow to test and validate the model.FindingsThe tested model shows that technology institutional trust base, end-user’s cognitive trust base and social influence are significant determinants of trusting beliefs. The findings also reveal that mediation effects of performance expectancy and perceived risks exist in the relationship between trusting beliefs and trusting intention.Originality/valueThe foreseeable positive impact and rapid market growth of emerging healthcare technologies necessitate the strong need to study user acceptance. However, there is a lack of research on how consumers trust and their adoption intention of such innovations. Prior empirical evidence from different contexts and perspectives also show contradictory findings. This research extends the existing technology acceptance literature to a healthcare context, provides an improved generalized understanding of the consumer’s trusting mechanism in emerging biotechnology and discusses practical insights for regulatory authorities, healthcare institutes and medical professionals.