• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.5
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• pp.871-883
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• 2018

This study tests consumer responses to online product recommendation service offered by a website. A product recommendation service refers to a filtering system that predicts and shows items that consumers would like to purchase based on their searches or pre-purchase information. The survey is conducted on 300 people in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using confirmatory factor analysis and structural equation modeling by AMOS 20.0. The results show that personalization quality does not have a significant effect on trust, but relationship quality and technology quality have a positive effect on trust. Three types of quality of recommendation service also have a positive effect on commitment. Trust and commitment are factors that increase service usage intentions. In addition, this study reveals the moderating effect of light users vs heavy users based on online shopping time. Light users show a negative effect of personalization quality on trust, indicating that they are likely to be uncomfortable to the service using personal information, compared to heavy users. This study also finds that trust vs commitment is an important factor increasing service usage intentions for heavy users vs light users.

• Asia pacific journal of information systems
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• v.26 no.1
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• pp.1-21
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• 2016

Social media is increasingly being used as a source of information during crises, such as natural disasters and civil unrests. However, the quality and truthfulness of user-generated information on social media have been a cause of concern. Many users find distinguishing between true and false information on social media difficult. Basing on the elaboration likelihood model and the motivation, opportunity, and ability framework, this study proposes and empirically tests a model that identifies the information processing routes through which users develop trust, as well as the factors that influence the use of these routes. The findings from a survey of Twitter users seeking information about the Fukushima Daiichi nuclear crisis indicate that individuals evaluate information quality more when the crisis information has strong personal relevance or when individuals have low anxiety about the crisis. By contrast, they rely on majority influence more when the crisis information has less personal relevance or when these individuals have high anxiety about the crisis. Prior knowledge does not have significant moderating effects on the use of information quality and majority influence in forming trust. This study extends the theorization of trust in user-generated information by focusing on the process through which users form trust. The findings also highlight the need to alleviate anxiety and manage non-victims in controlling the spread of false information on social media during crises.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4892-4911
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• 2015

Trust as one of important social relations has attracted much attention from researchers in the field of social network-based recommender systems. In trust network-based recommender systems, there exist normally two roles for users, truster and trustee. Most of trust-based methods generally utilize explicit links between truster and trustee to find similar neighbors for recommendation. However, there possibly exist implicit correlations between users, especially for users with the same role (truster or trustee). In this paper, we propose a novel Collaborative Filtering method called CF-TC, which exploits Trust Context to discover implicit correlation between users with the same role for recommendation. In this method, each user is first represented by the same-role users who are co-occurring with the user. Then, similarities between users with the same role are measured based on obtained user representation. Finally, two variants of our method are proposed to fuse these computed similarities into traditional collaborative filtering for rating prediction. Using two publicly available real-world Epinions and Ciao datasets, we conduct comprehensive experiments to compare the performance of our proposed method with some existing benchmark methods. The results show that CF-TC outperforms other baseline methods in terms of RMSE, MAE, and recall.

• Knowledge Management Research
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• v.10 no.1
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• pp.33-51
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• 2009

This study is concerned with exploring how much initial trust transfers between the two websites based on their design levels. Internet users tend to perceive trust towards websites when their design factors look persuasive. For example, well-designed websites can arouse more trust in users than poorly-designed websites. Online trust transfer between websites has been studied among several researchers. However, there is no study investigating how much initial trust transfers from well-designed websites to poorly-designed websites or vice versa. In this sense, this study fills this research void by empirically analyzing initial trust transfer between the two websites based on their design levels. Empirical results prove that design levels of websites affect initial trust transfer between websites significantly.

• Asia pacific journal of information systems
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• v.25 no.2
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• pp.403-422
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• 2015

Social media websites have continued to proliferate, and the way in which people stay connected has also evolved. The issue of user loyalty a website remains crucial given that the competition is severe. Websites need loyal users who continue to use their sites to survive and be successful. In this research, we applied self-regulation framework to investigate the factors leading to user loyalty to a social media site. In particular, the role of sense of belonging, which is a common emotional reaction to a social media site, is examined. A survey of users in a popular social media site in Taiwan was conducted. Results show that both sense of belonging and service quality have direct effect on loyalty, whereas trust affects loyalty indirectly by fostering a sense of belonging. Service quality affects loyalty through trust and sense of belonging. Notably, trust has insignificant effect on loyalty as originally proposed. Users are then classified into two groups, namely, heavy and light users, based on their usage. Among light users, service quality has no direct effect on loyalty. Therefore, sense of belonging has sole direct impact on loyalty. Both service quality and sense of belonging contribute to loyalty in users who spend more time online. Implications of this study are also discussed.

• The Journal of Information Systems
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• v.32 no.4
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• pp.69-94
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• 2023

Purpose Social networking service (SNS) platforms employ distinct networking strategies to meet the varying needs of their users, resulting in divergent sets of technological functionalities offered by each platform. Consequently, unique features on various SNSs give rise to distinct social issues. Moreover, the available technical coping mechanisms for users vary significantly across platforms. Design/methodology/approach Therefore, this study analyzes the factors affecting technical coping intention based on technical functions of SNSs for users exposed to cybercrime, such as sexual harassment. We divide coping intention into active and passive coping intention. Furthermore, this research focuses on trust as an antecedent of coping intention and verifies how human and system-like trust affects two coping intentions in different directions. Findings Findings reveal that system-like trust significantly affects both active and passive coping intention as a belief in whether the technology will work properly. However, in the case of human-like trust, trust in the platform provider was found to negatively affect passive coping, which is considered unsocialized behavior on SNS platforms. Therefore, both human-like and system-like trust for the platform must be appropriately applied to cope with the problem while activating the platform.

• The Journal of Information Systems
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• v.33 no.1
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• pp.159-182
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• 2024

Purpose This study aims to investigate the factors influencing social media users' sharing behaviors of COVID-19 health information. Specifically, we seek to examine the impact of three key antecedents-trust in information source, trust in information content, and trust in social media platform-on users' trust in information quality and determine whether their effects vary between South Korea and China. Design/methodology/approach To fulfill our research objectives, we conducted an online survey across two countries, collecting 408 valid responses (South Korea: N = 201; China: N = 207) for our analysis. We employed Partial Least Squared based Structural Equation Modeling (PLS-SEM) with SmartPLS 4 and performed Exploratory Factor Analysis (EFA) and independent t-tests with SPSS 27. Findings The study revealed that perceived risks significantly inhibit users from sharing health information, highlighting the critical role of trust in countering these effects. We also identified variances in the levels of trust in information content and trust in social media platform between the two countries, which offers fresh perspectives for designing culturally tailored public health communications and interventions.

• Knowledge Management Research
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• v.16 no.4
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• pp.47-67
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• 2015

Present study investigates the impact of privacy concerns of SNS users on continued intention to use since the privacy infringement issue emerges when smartphone use has been increasingly prevalent. In particular, moderating effect of perceived usefulness and mediating effect of trust between privacy concerns and continued intention to use are further evaluated. Contrary to the expectation that users of SNS will resist to use SNS because of privacy concerns, the number of users of SNS is still growing exponentially. Current paradox might be explained by the intervening factors such as perceived usefulness and trust. The results verify the mediating role of trust and no moderating role of perceived usefulness. Finally, the practical implication for businesses who utilize SNS in their marketing strategy is discussed.

• Korean Management Science Review
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• v.22 no.1
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• pp.83-101
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• 2005

We are going to make clear three things through the examination of the subject of this study. The first thing is to verify whether perceived usefulness and ease of use of usage have positive effects on trust and satisfaction which determine the loyalty of a shopping mall. The second Is to find out the effect of perceived usefulness and ease of use of using internet shopping mall on shopping mall's loyalty through variable intermediation of trust and satisfaction. The third is to emphasize the importance of perceived usefulness and ease of use of using a shopping mall web sites and carrying out a through analyzing path that usefulness and ease of use are intermediated by trust and satisfaction to loyalty. We made a poll to people who had ever used internet shopping mall and got Information. The results are below. The easer internet shopping mail users feel when using shopping mall sites, the more they feel them useful. Perceived usefulness and ease of use of usage have positive effects on trust and satisfaction which are major preceding factors of Internet shopping mall loyalty. The perceived ease of use, trust, and satisfaction intermediate between the perceived ease of use and shopping mall's loyally while users are accepting internet shopping mali. And trust and satisfaction intermediate between the perceived usefulness and shopping mall's loyalty. These results show that the degree of usefulness and feeling easiness in using shopping mall of users should be considered seriously. The only easiness of shopping mall doesn't create shopping mail's loyalty, but, It's created when users acknowledge the usefulness, trust, and satisfy.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.35-45
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• 2014

Due to the spread of unreliable online information on the social network services, the users are faced with a difficult problem for determining if the information is trustworthy or not. At present, the users should make a decision by themselves throughly for the trustworthiness of the information. Therefore, we need a way to systematically evaluate the trustworthiness of information on the social network services. In this paper, we design a trust index, called KTI (Korean Trust Index for SNS), as a criterion for measuring the trust degree of the information on the social network services. Using KTI, the users are readily able to determine whether the information is trustworthy. Consequently, we can estimate the social trust degree based on the variation of KTI. This paper derives the various factors affecting trust from the properties of the social network services, and proposes a model to evaluate the trustworthiness of information that is directly produced and distributed over the online network. Quantifying the trust degree of the information on the social network services allows the users to make efficient use of the social network.