• 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.

• The Journal of Information Systems
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• v.20 no.4
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• pp.233-254
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• 2011

Although e-commerce is growing fast, e-commerce consumers are still under higher risk and uncertainty in the comparison of the traditional commerce's. Consumer review boards of online shopping malls are good measures to help buyer's decision making, and should be managed effectively by sellers. We formulate the research model on consumer trust formation on seller managed web review boards on the background of previous literatures on e-WOM and trust. Our data analysis with 368 samples shows seller's reputation, e-service quality, perceived reviewer's benevolence and ability have significant positive effect on the trustworthiness of the board. Product involvement shows weak negative moderation effect on the relationship between perceived reviewer's benevolence and trustworthiness of review boards.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.255-271
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• 2005

This paper aimed to exam core factors of the relationship factors and analyze their effects on structural bonds and social bonds. And this paper analysis structural bonds and social bonds effects on relationship commitment. To accomplish this purpose, this study examined previous studies and summarized core factors of the relationship making. The result of this study are as follow: First, we examined that 6 factors-tech-shared, product characteristic, transaction specific asset, reputation, trust, communication-were relationship factors of buyer-seller industrial market. Second, it is shown that tech-shared, product characteristic, transaction specific asset factors have a positi-ve influence on the structural bonding. Third, it is shown that reputation, trust, communication factors have a positive influence on the social bonding. Fourth, it is shown that structural bonding, social bonding have a positive influence on the relationship commitment.

• Information Systems Review
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• v.25 no.2
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• pp.103-123
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• 2023

One of the valid perspectives in the e-commerce platform literature is the seller signaling strategy in the information asymmetry situation. In this study, a research model was constructed based on signaling theory and shopping goal theory to systematically explore the effects of a seller's signaling strategy on consumer decision-making. Specifically, the study examined whether the signaling effects (i.e., reputation, electronic word-of-mouth, price) provided by the seller differed based on consumers' shopping goals. For the empirical analysis, the Gaussian Copula method was employed, utilizing 26,246 data collected from Amazon, a leading e-commerce platform. The analysis revealed that the signals provided by the seller positively impacted sales, and this effect was moderated by consumers' shopping goals. Drawing on shopping goal theory, this study contributes to signaling theory and e-commerce literature by discovering differences in the effectiveness of a seller's signaling strategy based on the keywords input by consumers.

• Asia pacific journal of information systems
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• v.20 no.4
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• pp.81-100
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• 2010

This study investigates the impact of website contents on Internet auction success. Based on the marketing concepts of stimuli, consumer behavior, and product involvement, the research model presents the theoretical relationships between the key factors of website contents and Internet auction performance. This study examines particularly four dimensions of website contents including transaction features, auction-specific features, seller's reputation, and information quality, which are deemed to have significant impact on the Internet auction performance, Each dimension of website contents is hypothesized to have a unique impact on a bidder's decision-making, which may vary depending on the bidder's level of involvement in the product. While transaction and auction-specific features serve as necessary components for successful auctions, a seller's reputation and information quality, as parts of satisfactory requirements, acutely affect bidders' decisions, especially those with high involvement to buy the product through a particular auction site. The outcomes of the analysis, in general, support the proposed model. The study results also provide meaningful Implications on ways in which auction websites can be improved for both sellers and auction service providers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1760-1768
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• 2004

A P2P is a method that can share and exchange on digital resources through a direct connection on personnel without a central server. In this paper, we apply a P2P technology to a traditional electronic commerce method so that a seller and a customer can perform a commercial transaction through a direct communication. As such a result, we propose a new e-Commerce model on P2P environment to assure fairness in commercial transactions. To achieve our goal, we put an escrow server which is responsible for guarantee fair contents delivery and payment for the contents between a seller and a customer. When a customer buys content, he first obtains reputation values implicating reliability for the content and refers to these values to determine purchase. The proposed scheme, we can improve the reliability for the purchasing content and provide the fairness to both a seller and a customer simultaneously.

• Journal of Information Technology Applications and Management
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• v.23 no.1
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• pp.1-23
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• 2016

Social commerce (s-commerce) is a subset of e-commerce and uses social media for social interactions. Although s-commerce has been rapidly growing, disputes between some s-commerce firms and their consumers often occur over issues such as poor customer services, incorrect product information, and late refunds. In order for s-commerce to continuously grow, s-commerce firms need to build consumer-trust in their transaction process to minimize their consumers' uncertainty. The purpose of this study is to examine the relationships between the multidimensional trust (ability, integrity, benevolence) and the intention of continuous use of s-commerce. Moreover, this study presents antecedent factors needed for trust-building by applying the characteristics of s-commerce, and verifies the relations between the variables. We test and validate the research model and related hypotheses using structural equation modeling based on a survey done on 428 people who have previous experience with s-commerce. The result shows that trust has positive effect on the intention of continuous use, and verifies the necessity of the antecedent factors (social presence, assurance, informativeness, economic feasibility, and seller reputation) for trust-building. This study provides strategy for the continuous growth of s-commerce, and suggests theoretical implication that explains the relationship between the characteristics of s-commerce and consumers.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.115-120
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• 2017

Online reputation systems for social network services(SNS) aggregate users' feedback and estimate the reputation of contents or providers. The aim of this research is to enhance credibility of the online reputation system on the SNS based e-Commerce(we called it as social commerce). SNS users usually refer to evaluations from other users who bought the products before. Most social commerce sites provide reputation system to help their customer make a decision, but sometimes we can't believe the reputation because the reputation is too subjective and the seller can deceive the customer for sales promotion. Threrefore, we usually use just the average value to show the general customer's evaluation result. We applied collaborative filtering method to give more weighting to the users who have evaluated correctly in the past. As a result, we could get more accurate evaluation results by considering each customers' credibility value that was computed by collaborative filtering.

• Journal of Distribution Science
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• v.13 no.5
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• pp.15-22
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• 2015

Purpose - Transparency, seller reputation, and website security are considered to be important factors that influence online customer purchasing decisions in China. This paper empirically examines the relative influence of Taobao.com on customers' online purchasing decisions. Research design, data, and methodology - We perform structural equation analysis, with a sample of 306 observations. The data comes from consumers' real transaction experiences from a specific website. This gives the results of our study more generalizability than studies using subjects who are not asked to engage in real transactions. Results - The results of this study reveal that perceived security and perceived reputation are critical factors affecting consumer trust and perceived transparency is most closely associated with purchase intention. Conclusions - The findings suggest that perceived transparency plays a significant role in increasing online consumer's purchase intention. The knowledge of the relative impacts of these factors and their roles in the customer transaction experience will be useful in developing customized sales strategies. The results of this study reveal that perceived transparency exerts a stronger effect than perceived reputation on consumer purchase intentions.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.101-124
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• 2004

The exponential growth of the Internet has been the advent of buying and selling products and services over the Internet. In Korea, electronic commerce including Internet commerce reached a ￦6,534 billion industry in the year 2002. This paper presents the importance of understanding and managing consumer trust to sellers succeed in Internet commerce. We tested a trust model that includes seller's trustworthiness-based factors and consumer's personality-based factors. We found that seller's trustworthiness-based factors lead to greater consumer trust in Internet shopping through the consumer's perceptions about integrity, benevolence, reputation, and size, but consumer's personality-based factors containing five traits, extraversion, agreeableness, conscientiousness, openness, and trust propensity, have not a significant effect on consumer trust. We also confirmed a positive relationship between consumer trust in Internet shopping and consumer intention to buy.