• Informatization Policy
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• v.21 no.4
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• pp.40-58
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• 2014

This study investigated how online information affected consumers' purchases at social commerce websites. In the online purchase process, consumers use two types of online information: user generated content(UGC) and vendor generated content(VGC). These information types may influence consumers'purchase intention differently because each information builds entity trust and content trust, which play mediation roles between online information and purchase intention. According to the analysis results, general transactional information and safe transaction information of VGC and reputation information of UGC significantly affected entity trust. But content trust was affected only from general transactional information of VGC. And entity trust significantly affected content trust as well as purchase intention. These findings imply that social commerce vendors should focus mainly on entity trust for enhancing consumers' purchase intention. To achieve this objective, in the short term perspective, they should endeavor how to enhance general transaction information and safe transaction information qualities because these information types are easily controlled and improved by vendors. In the long term perspective, they should focus on reputation formation because reputation takes long time.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.360-374
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• 2017

This study investigates the effects of trust and distrust on intention to purchase in open markets, based on the ideas derived from previous studies such as coexistence of trust and distrust, and two distinct trustees in open markets-intermediary and sellers. Specifically, this study i) proposes a trust-distrust model of intermediary and sellers, ii) explores the transfer of trust and distrust from intermediary to sellers, and iii) discovers the antecedents of trust and distrust. The empirical validation using Partial Least Squares shows three results as follows. First, trust in intermediary positively affects intention to purchase through the mediated impact of trust in sellers. That is, trust in intermediary transfers to trust in sellers. Second, distrust in intermediary negatively affects intention to purchase through the mediated impact of customers' perceived risk. Third, structural assurance and perceived website quality positively affect trust in intermediary. The results of this research have implications for intermediary firms not only to build trust but also to manage distrust level. However, this study could not identify any antecedent of distrust, so further research for these antecedents will be needed in the future.

• Journal of KIISE
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• v.42 no.10
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• pp.1286-1293
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• 2015

Most e-marketplaces build a reputation system that provides potential buyers with reputation scores of sellers in order for buyers to identify the sellers that are more reliable and trustworthy. The reputation scores are computed based on the aggregation of buyers' ratings. However, when these ratings are used to compute the reputation scores, the existing reputation systems do not make a distinction according to the following two criteria: the capability of the seller and the quality of an item. We claim that a reputation system needs to separate the two criteria in order to provide more precise information about the seller. In this paper, we propose a method to compute seller's reputation by separating the rating into the seller's score and the item's score. The proposed method computes the reputation of the seller's capability by using only the 'seller's score' and helps potential buyers to find reliable sellers who provide fast delivery and better service. In experiments, we propose a simulation strategy that reflects the real life of an E-marketplace and verify the effectiveness of our method by using the generated simulation data.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.7
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• pp.288-295
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• 2007

The illegal copying and redistribution of digitally-stored information is a crucial problem to distributors who electronically sell digital data. fingerprinting scheme is a technique which supports copyright protection to track redistributors of electronic information using cryptographic techniques. Anonymous asymmetric fingerprinting scheme prevents the merchant from framing a buyer by making the fingerprinted version known to the buyer only. And this scheme allows the buyer to purchase goods without revealing her identity to the seller. In this paper, a new anonymous asymmetric fingerprinting scheme with TTP is introduced. The buyer's fingerprint is generated by the Fingerprint Certificate Authority which is a TTP. When the seller embeds the fingerprint in the digital data, the protocol uses the homomorphic encryption scheme. Thus the seller cannot know the buyer's fingerprint and the buyer's anonymity is guaranteed by using anonymous key pair.

• Knowledge Management Research
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• v.22 no.1
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• pp.287-308
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• 2021

This study aims to explore how the effects of the perceived social presence on trust and live chat adoption intention vary with the types of live chats in e-commerce context. As technology develops, live chat with the seller in e-commerce is rapidly replaced by AI-assisted live chat called chat-bot. However, it is not well known how the buyers perceive the difference between the chat with seller and the chat-bot. This study therefore proposes first, the perceived social presence toward the seller will influence trust and the live chat adoption. Second, the effects of social presence will be stronger when using live chat with seller than using chat-bot. To validate, we collect data from 232 e-commerce users and confirm the first proposition. However, the higher level of the social presence effect of live chat with seller is not clearly revealed. This study is expected to provide researchers and managers who are interested in AI-based chatbots with useful theoretical and practical implications.

• Management & Information Systems Review
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• v.29 no.4
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• pp.67-88
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• 2010

The primary purpose of this study is to examine the effects of information satisfaction on customer trust and future behavior intention in open markets. Based on relevant literature reviews, this study posits three information satisfaction characteristics, that is, seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction as key determinants of customer trust and future behavior intention. And then we structured a research model and hypotheses about relationship between these variables. A total 253 usable survey responses of open market users have been employed in the analysis. The major findings from the data analyses are as follows. Firstly, all three kinds of seller information satisfaction, product information satisfaction, and transaction procedure information satisfaction have a positive influence upon customer trust. Secondly, customer trust have very significantly related to repurchase intention in open markets.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.713-717
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• 2009

The purpose of this paper is to analyse the factors influencing satisfaction, reliance, and loyalty to the life insurance companies. The factors are divided into two categories: the characteristics of life insurance companies and sellers. Factor analysis and multiple regression is employed. Two factors are found in the analysis of the characteristics of life insurance companies. Those are quality and social liability of life insurance companies. One factor are extracted from the analysis of the characteristics of sellers. We also find each one factor in the factor analysis of satisfaction, reliance, and loyalty. The findings are summarized as follows. Firstly, the role of sellers are very important for the three performance variables, namely satisfaction, reliance, and loyalty. Secondly, the factor for social liability of life insurance companies is statistically significant to the satisfaction performance. Finally, The three explaining variables are statistically significant to the reliance and loyalty performance.

• Journal of Digital Convergence
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• v.18 no.4
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• pp.237-242
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• 2020

Online e-commerce management systems are gradually increasing, and transactions are made in various items. However, the reliability between sellers and buyers is very important in high-priced transactions such as automobiles when used transactions online. Nevertheless, in the existing used trading system, a device that prevents fraud or trusts the seller is insufficient. This paper developed a blockchain-based used transaction management system to improve the reliability that occurs during used transactions. We have improved the safety trading system by developing a trading management system for used cars with the highest amount of used cars in various fields. This system uses Ethereum-based smart contract to guarantee reliability without third party intervention. By designing the contracts required for used car trading by utilizing smart contracts, it was possible to reduce the effort and time of trading participants in the existing used car transactions, while enabling safe transactions. In addition, this system mitigated information asymmetry between buyers and sellers, and reduced and prevented brokerage fees in the distribution process without third parties.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.419-424
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• 2007

인터넷 사용자가 기하급수적으로 증가하고 컴퓨터 및 통신 기술이 발전하면서 전자상거래(electronic commerce)가 일반인에게 급속하게 확산되고 있으나 기존의 신뢰성 관리구조는 판매자(seller)와 구매자(buyer)의 개인적 성향을 충분히 반영하지 못한다는 문제가 있다. 하지만 전자상거래 주체들의 개인적 성향은 전자상거래에서 발생하는 트랜잭션들의 위험성을 감소시키는 매우 중요한 요소 중 하나이다. 그러므로 본 논문에서는 판매자와 구매자들의 개인적 성향에 근거한 신뢰성 관리구조를 제안한다. 제안된 구조는 기존의 신뢰성 관리구조에서 무시되었던 개인 성향 정보들을 활용하기 때문에 기존 구조에 비해 정확하고, 효율적인 신뢰성 관리를 수행할 수 있도록 한다. 또한 본 논문에서는 설문조사를 통해 개인적 성향이 반영되어 평가된 신뢰값에 의해 전자상거래 서비스들의 품질이 개선됨을 보이도록 한다.

• Journal of Distribution Science
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• v.7 no.3
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• pp.49-69
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• 2009

With the proliferation of electronic commerce, online transactions have become a norm. Its enormous potential, however, can be truly realized if consumers feel comfortable facing invisible sellers over the Internet, a virtual business channel. Trust has been identified as a key component in many e-Commerce studies. The purpose of this study is to find out which factors play a major role in building buyer trust and how the build-up trust affects buyer's purchase intention in online used car transactions. Based on the information asymmetry, TAM (Technology Acceptance Model), and the trust theory, our research model includes factors such as a buyer's propensity-to-trust, institutional characteristics (inspection and warranty policy), word-of-mouth referral, perceived size, and perceived benefits as independent variables. The model also includes trust as a mediate variable, purchase intention as a dependent variable, and perceived quality risk as a moderate variable. The research model is tested by analyzing 448 sample data gathered from used car websites. The result shows that the trust has significant effects on the online purchase intention, and institutional characteristics have been identified as one of the most significant factors for trust building in used car websites. For those who perceive quality risk high, actual purchasing behavior occurs only when they have trust on the used car websites, indicating that trust plays a vital role as a mediate variable. This study suggests that buyer trust on the used car websites is important to increase buyer's online purchase behavior.