• Journal of Information Technology Applications and Management
• /
• v.20 no.4
• /
• pp.191-205
• /
• 2013

Recently, the topic of predicting interpersonal trust in online social networks is receiving considerable attention, because trust plays a critical role in controlling the spread of distorted information and vicious rumors, as well as reducing uncertainties and risk from unreliable users in social networks. Several trust prediction models have been developed on the basis of transitivity and composability properties of trust; however, it is hard to find empirical studies on whether and how transitivity and composability properties of trust are operated in real online social networks. This study aims to predict interpersonal trust between two unknown users in social networks and verify the proposition on whether and how transitivity and composability of trust are operated in social networks. For this purpose, we chose three social network sites called FilmTrust, Advogato, and Epinion, which contain explicit trust information by their users, and we empirically investigated the proposition. Experimental results showed that trust can be propagated farther and farther along the trust link; however, when path distance becomes distant, the accuracy of trust prediction lowers because noise is activated in the process of trust propagation. Also, the composability property of trust is operated as we expected in real social networks. However, contrary to our expectations, when the path is synthesized more during the trust prediction, the reliability of predicted trust did not tend to increase gradually.

• Asia pacific journal of information systems
• /
• v.27 no.2
• /
• pp.77-98
• /
• 2017

The development of mobile social networking service (SNS) triggers the growth of social commerce industry. Customers rely considerably on electronic word of mouth (eWOM) to make purchasing decisions. Thus, SNS is an important commercial platform that offers attractive opportunities and challenges to firms. This study sheds light on the role of SNS as a social commerce platform by focusing on WeChat, the most popular SNS in China. This study identifies three different types of trust based on SNS that customers perceive in the context of social commerce. These types of trust are contents trust, source trust, and platform trust. This study suggests the antecedents and consequences of each trust. Our results prove that eWOM intention relies on contents trust and source trust, whereas purchase intention depends on contents trust, source trust, and platform trust. This study also finds that contents trust is positively influenced by source trust and platform trust. Finally, the result verifies the key antecedents of each trust, namely, vividness and timeliness for contents trust, competence, benevolence, and integrity for source trust, and instrumental need and social need for platform trust. The discussion and implications on the findings are provided.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.37 no.1
• /
• pp.61-71
• /
• 2012

Other-regarding preferences (such as trust, reciprocity and altruism) between companies, between consumers and retailers, and between employers and employees are integral elements in determining economic performance. Social trust which is a core element of social capital, especially, is known to reduce transaction costs, help solve collective action problems, and contribute to economic, social, and political development. Therefore, social trust has been given a great deal of attention across an array of academic disciplines for its role in promoting cooperation among individuals and groups, and for its positive influence on economic performance. Most studies describe Korea as a low-trust society than Japan or China. To identify the causes of social trust, this paper focuses on differences of social values (perception on competition and wealth accumulation) in 4 countries (Japan, China, Korea, and United States). Based on World Values Survey data, this paper analyzes effects of the social values on social trust. Social trust was measured by degree to which a respondent thinks that most people can be trusted. Perception on competition was measured by the degree to which a respondent thinks that competition is harmful, and perception on wealth accumulation was done by the degree to which a respondent thinks that wealth can grow so there is enough for everyone. The results showed that social trust was affected by perception on competition and wealth accumulation. A respondent showed higher level of social trust when he (or she) perceived positively competition and wealth accumulation. For enhancing social trust in a country, it is not easy to reduce income inequality and corruption which were reported as causes of social trust by previous studies. Compared to them, social values can be changed more easily by various concrete measures like education and mass-media. Differently from previous studies this paper stresses the concrete measures to enhance social trust in a country.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.12
• /
• pp.951-958
• /
• 2020

This study examines the relationship between social media marketing and brand loyalty through brand trust. Respondents were drawn from customers of McDonald's, Malang City, East Java Province, Indonesia. For this study, 130 questionnaires were distributed and data were analyzed using the Structure Equation Model (SEM) version 22 of the AMOS (Analysis of Moment Structure) application. The results showed that social media marketing had an impact on increasing McDonald's brand trust and brand loyalty. Brand trust influences brand loyalty and brand trust can mediate the influence of social media marketing on McDonald's brand loyalty. The findings prove that brand trust can mediate the effect of social media marketing on customer loyalty to McDonald's brand. These results can be explained by the fact that marketing strategies through social media marketing, such as making it easy for customers to get information related to McDonald's on social media, can contribute to customer trust and that trust is formed because McDonald's always pays attention to the quality of the products offered. Brand trust can mediate the influence of social media marketing on customer loyalty to McDonald's brand. This means that information related to McDonald's on social media is proportional to the quality of the product offered.

• Journal of the Korea Convergence Society
• /
• v.11 no.11
• /
• pp.309-319
• /
• 2020

In this study, we looked at the relationship among the anxiety, social support and trust experienced by the general public during the pandemic situation (COVID-19), and confirmed the effect of trust to the relationship between social support and anxiety. First, the correlations analysis that was performed to identify the relationship among the variables showed negative correlation between social support and anxiety. While it was also found that social support showed positive correlations with social trust, no significant correlations were shown with regards to government trust. Furthermore, government trust and social trust showed negative correlations with anxiety. Second, the regression analysis was conducted to verify the hypothesis that social support would affect anxiety through social trust. It showed that social trust partly mediated in the relationship between social support and anxiety. Based on the results above, the discussions and suggestions were presented throughout the study.

• Journal of Information Technology Applications and Management
• /
• v.20 no.2
• /
• pp.177-191
• /
• 2013

Social network has been expected to increase the value of social capital through online user interactions which remove geographical boundary. However, online users in social networks face challenges of assessing whether the anonymous user and his/her providing information are reliable or not because of limited experiences with a small number of users. Therefore. it is vital to provide a successful trust model which builds and maintains a web of trust. This study aims to propose a prediction method for the interpersonal trust which measures the level of trust about information provider in Facebook. To develop the prediction method. we first investigated behavioral research for trust in social science and extracted 5 antecedents of trust : lenience, ability, steadiness, intimacy, and similarity. Then we measured the antecedents from the history of interactive behavior and built prediction models using the two decision trees and a computational model. We also applied the proposed method to predict interpersonal trust between Facebook users and evaluated the prediction accuracy. The predicted trust metric has dynamic feature which can be adjusted over time according to the interaction between two users.

• Journal of Information Technology Applications and Management
• /
• v.18 no.4
• /
• pp.41-53
• /
• 2011

Trust prediction between users in social network based on the trust propagation assumes properties of transitivity and composability of trust propagation. But it has been hard to find studies which test on how those properties have been operated in real social network. This study aims to validate if the longer the distance of trust paths and the less the numbers of trust paths, the higher prediction error occurs using two real social network data set. As a result, the longer the distance of trust paths, we can find higher prediction error when predicting level of trust between source and target users. But we can not find decreasing trend of prediction error though the possible number of trust paths between source and target users increases.

• Health Policy and Management
• /
• v.33 no.3
• /
• pp.338-354
• /
• 2023

Background: The influence of social capital on the spread of coronavirus disease 2019 (COVID-19) and related behaviors and perceptions has been recognized during the COVID-19 pandemic. This study aims to analyze the trends in social capital using primary data from the Korean Community Health Survey, which is the only available source in Korea for local-level social capital analysis. It also investigates the relationship between various variables, including social capital, as factors influencing COVID-19-related behaviors and perceptions. Methods: The study analyzed the temporal trends of social capital using raw data from four community health surveys conducted in 2017, 2019, 2020, and 2021. A multilevel analysis was conducted to examine the relationship between social capital and COVID-19-related behaviors and perceptions following the onset of the COVID-19 pandemic in 2020. Results: Social capital consists of trust, bonding social capital, and bridging social capital. Within the trust sub-factor, trust in neighbors (Trust-1) declined after the COVID-19 pandemic, whereas trust in safety and general environment (Trust-2) and trust in medical services and public transportation (Trust-3) increased. Additionally, the gap between municipalities narrowed. COVID-19-related behaviors and perceptions, such as adherence to COVID-19 prevention measures, return to normal activities, and fear of COVID-19, showed improvement in 2021 compared to the previous year. Individual-level trust in neighbors was associated with reduced fear of COVID-19, while community-level trust in neighbors was associated with increased fear of COVID-19. Conclusion: Social capital plays a role in mitigating public health crises, and it is necessary to implement active policies that address the gap in social capital between metropolitan and rural areas. Strengthening risk communication regarding emerging infectious diseases such as COVID-19 is crucial.

• Journal of the Korea Society of Computer and Information
• /
• v.21 no.5
• /
• pp.149-160
• /
• 2016

The purpose of this paper is to examine the relationship between the social interactions on the social network and the purchase intention. And the trust propensity of a trustor, the ability of a trustee, and the sincerity of a trustee are selected as the antecedents of social interactions. This paper also examines the effect of type of product as a moderating variable. The result of this paper reveals that social interactions(in terms of closeness, familiarity, and interpersonal trust) have a positive(+) effect on the purchase intention. The more social interactions, the more trustors have intentions to purchase the recommended products by trustees. In addition, the study reveals that the trust propensity of a trustor and the ability of a trustee directly and indirectly influenced on the intention to purchase the recommended product. The findings also suggest that the trust propensity of a trustor and the ability of a trustee have an effect on the closeness, familiarity, and interpersonal trust resulting from social interactions.

• Asia Marketing Journal
• /
• v.26 no.2
• /
• pp.129-144
• /
• 2024

This research is on how people's trust in human-like AI-based service will influence customer engagement (CE). This study will discuss the relationship between trust and CE and explore how people's trust in AI affects CE when they lack knowledge of the company/brand. Items from the philosophical study of trust were extracted to build a scale suitable for trust in AI. The scale's reliability was ensured, and six components of trust in AI were merged into three dimensions: trust based on Quality Assurance, Risk-taking, and Corporate Social Responsibility. Trust based on quality assurance and risk-taking is verified to positively impact customer engagement, and the feelings about AI-based service fully mediate between all three dimensions of trust in AI and CE. The new trust scale for human-like AI-based services on social media sheds light on further research. The relationship between trust in AI and CE provides a theoretical basis for subsequent research.