• 유통과학연구
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• 제18권3호
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• pp.5-14
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• 2020

Purpose: Trust plays an important role in e-commerce because consumers perceive more risk involved with this type of shopping than traditional way of shopping. Trust is defined as complex and multidimensional issue. This paper argues that trust should be considered to have two important components as trust belief and trust intention, in which trust belief has three components as competence, integrity and benevolence. Research design, data and methodology: This study examines the relationship between retailer website quality (web design, navigation, information), reputation and risk toward trust. In addition, trust and risk toward buying behavior are also considered, leading to customer satisfaction. The paper is conducted on a sample of 594 customers with direct experience of online shopping in Vietnam. Both confirmatory factor analysis (CFA) and a structural equation model (SEM) were utilised. Results: Empirical findings from this paper indicate that trust is high order construct. Website quality and reputation have positive impacts on customers' trust. Trust has a positive relationship to buying behavior and customers' satisfaction while perceived risk has negative relationship to buying behavior. In contrast, a relationship between perceived risk and trust is not supported in this study. Conclusions: Improving reputation and website quality (especially information) may increase customers' trust and eventually lead to purchase decision.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2396-2413
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• 2018

Trust management is one of the most challenging issues for the highly heterogeneous Internet of Things (IoT). In the context of the IoT, it is difficult to evaluate the node's trustworthiness in the same trust model when a node provides different services. Guaranteeing the availability of the trust management service is another significant challenge because of the dynamic nature of IoT environments. With these issues in mind, this paper propose a robust and adaptive trust management system for the IoT that is able to measure the trustworthiness of nodes based on feedbacks collected from participants in a specific context and ensure the availability of trust management services. The main contributions of our system are: 1) Proposing a partly decentralized trust management framework, which improves the resiliency of the trust mechanism; 2) Proposing an adaptive trust evaluation scheme and a three-dimensional context representation makes trust evaluation more accurate and specific; 3) Enhancing the adaptive trust evaluation scheme by incorporating a bad behavior factor in trust estimation, which efficiently distinguishes misleading feedbacks from On-Off attacks. Simulation results show the good performance of the proposed system and especially show effectiveness against On-Off attacks compared to other trust mechanisms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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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.

• Asia pacific journal of information systems
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• 제29권2호
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• pp.308-327
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• 2019

The concept of sharing economy has received rich attention in recent years. As a typical type of business model in the sharing economy, online short rent has been paid attention by both industry and academia. In this study, we find trust to be a critical determinant to the success of online short rent platforms. Based on three dimensions of trust theory, i.e., ability, benevolence and integrity, we investigate the factors influencing tenant' willingness to participate in online short rent. We further examine the extent to which trust can influence the number of sales and comments of rooms listed at online short-term rent platforms, which can represent tenant' willingness to participate in the sharing economy. The results show that the trust dimensions represented by a landlord's personal characteristics have significant positive correlations with the number of sales and comments. For example, the real name authentication and the sesame score can represent the trust integrity; online replay ratio and the average confirmation time representing the trust sincerity, and the order acceptance ratio representing the trust ability. On this basis, we proposed some recommendations for both platforms and landlords. For example, the landlords can improve the tenants' trust by authenticating his/her real name, replying actively and timely. For platforms, when they make housing list ranking rules, they can take the landlord's personal attributes that may affect trust into consideration. Moreover, platforms can also allow landlords to supply value-added services to improve service quality and ultimately promote the virtuous circle of the platform ecosphere. Through conducting the empirical research on a particular application of the sharing economy, we aim to fill the research gap of this field in China and provide theoretical and practical contributions to the future development of online short rent.

• 보건의료산업학회지
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• 제7권3호
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• pp.137-147
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• 2013

This study classifies the marketing mix of LASIK eye surgery clinics into 7Ps, examines the influence of each factor of 7Ps(product, place, price, promotion, process, people and physical evidence) on customer satisfaction, and investigates the effect of customer satisfaction on trust and relationship commitment. Survey of 500 patients who received surgeries in 3 eye clinics in Busan area was conducted through self-administered questionnaires, and, with this data, path analysis was performed to estimate the study model. Main result showed that, among 7Ps, product, price, promotion, people and physical evidence had significant positive effect on customer satisfaction which, in turn, had significant positive effect on trust and relationship commitment. Also, it was found that trust positively affected relationship commitment. This result would be considered helpful in medical institution's efforts to establish trust on customer satisfaction and maintain relationship commitment. It also implies that, in order to enhance competitiveness in increasingly competitive medical market, establishment of proper marketing strategy is urgently required where the determinants of customer satisfaction are effectively administered and ultimate relationship commitment of customers based on trust can be maintained and enhanced.

• Journal of Information Technology Applications and Management
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• 제24권1호
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• pp.169-185
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• 2017

This study proposes a novel recommendation algorithm that reflects the results from trust/distrust network analysis as a solution to enhance prediction accuracy of recommender systems. The recommendation algorithm of our study is based on memory-based collaborative filtering (CF), which is the most popular recommendation algorithm. But, unlike conventional CF, our proposed algorithm considers not only the correlation of the rating patterns between users, but also the results from trust/distrust relationship network analysis (e.g. who are the most trusted/distrusted users?, whom are the target user trust or distrust?) when calculating the similarity between users. To validate the performance of the proposed algorithm, we applied it to a real-world dataset that contained the trust/distrust relationships among users as well as their numeric ratings on movies. As a result, we found that the proposed algorithm outperformed the conventional CF with statistical significance. Also, we found that distrust relationship was more important than trust relationship in measuring similarities between users. This implies that we need to be more careful about negative relationship rather than positive one when tracking and managing social relationships among users.

• 유통과학연구
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• 제21권6호
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• pp.1-11
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• 2023

Purpose: As a modern distribution channel, the growth of e-commerce has brought more competitive pressures on e-marketplace, making trust and loyalty become top priority. As one of many sources of trust and loyalty issues, understanding the effect of careless marketing communications on consumers' perception is critical. This study examines the effect of careless marketing communications (e.g. misspellings, incomplete information) in website on consumers' trust toward and confidence in purchasing a product from an e-commerce. Research design and methodology: An experimental research design (with two experimental studies) was used in to test the hypotheses. Study 1 employs a single-factor design and study 2 employs a 2x2, full-factorial, between-subjects design. Results: Results of the two experimental studies (Study 1, n = 60; Study 2, n = 140) demonstrate that simple mistakes significantly decrease consumers' trust toward an e-commerce and their confidence to purchase from the e-commerce. The effect is found to be significant in the case of high-involvement products; whereas no effect is found in low-involvement products. Conclusions: E-commerce relies heavily on carefully crafted marketing communications to establish consumers' trust and confidence. These studies confirm the equal importance of distribution and communication in maintaining consumers' trust and sustainability of the business.

• 한국경영정보학회:학술대회논문집
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• 한국경영정보학회 2007년도 International Conference
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• pp.469-472
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• 2007

This study deals with an important but ignored topic in IS research, the trustee issue. The purpose of this study, performed in the context of mobile banking, is: (1) to broaden the types of trustees (vendors, mobile channel, customers themselves) that customers consider in the adoption of emerging IT services and (2) to investigate the relationships between customer intention to adopt new IT services and trust in three different trustee types. The analysis showed that customers' self-trust is the most important in shaping their intention to adopt mobile banking. Consumer trust in the mobile channel came in second. Unlike the results of previous research, the effect of customers' trust in vendors was insignificant in mobile banking.

• 대한가정학회지
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• 제49권6호
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• pp.13-22
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• 2011

This study investigated the influence of product attribute on initial trust and purchase intention of sensor-based smart clothing. Questionnaires were administered to 256 university students in Daegu, Korea. The results were as follows: First, there were 5 factor solutions in product attribute of smart clothing; comfortableness, health usefulness, management easiness, safety, and aesthetic appearance. Second, there were significant effects on initial trust in heath usefulness, management easiness and safety. Third, there were significant effects on purchase intention in health usefulness, management easiness and aesthetic appearance. Fourth, there was a significant effect on purchase intention in initial trust.

• 경영과학
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• 제33권2호
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• pp.89-115
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• 2016

Recent trends in online commerce shows that multi-channels including offline and online become prevailing as a standard type of channel. However, literature survey revealed that there exist few studies about how an individual negative emotion such as neuroticism affects trust transfer between channels, and usage continuance intention. To fill the research void like this, this study proposes an research model where trust transfer between offline and online channels is included, and neuroticism is also adopted as a moderating variable between trust transfer, satisfaction, and usage continuance intention. Empirical results with valid 406 questionnaires revealed that neuroticism has a negative influence on online commerce users' perceived usage continuance intention.