Effects of Information Presentation on Perceived Reputation in Virtual Communities: A Controlled Experiment

Reputation systems have become increasingly popular in virtual communities as a way to record and communicate the reputation information of the members. However, different reputation systems use different presentation formats and their effects on decisions in terms of evaluating positive and negative ratings remain unclear. A controlled experiment is proposed using the preference ladder procedure to elicit subjective preferences in three commonly used presentation formats. One format presents the negative and positive ratings side by side; one presents the information as a percentage of total ratings that are positive; the third presents the difference between the positive and negative ratings, the format used by eBay. Results of the preliminary data analysis suggest that people weigh the positive and negative information to different extents in the three formats. Presenting reputation in the difference format tends to make a person weigh the negative information less, making the person more forgivable. The finding is possibly due to the salience of the negative ratings in the various presentations

Factors Affecting the Repurchase Online Shopping Intention of Thai Customers in Bangkok: A Case Study of eBay.com

This study explores the repurchase intention to Thai customers on a well known international e-commerce web site. Specifically, it aims to examine the repurchase intention of working Thai customers in Bangkok toward eBay.com. The target population is Thai people working in three highly-ranked commercial areas of Bangkok. An alternative repurchase intention model was developed with perceived usefulness, trust, privacy, perceived interactivity and customer satisfaction as the independent variables and repurchase intention as the dependent variable. 390 Thai respondents were surveyed with a questionnaire. The Pearson’s Correlation was used to test the hypotheses. The results show that trust in a website has the ability to influence the perceived usefulness of eBay. They also show that the relationship of privacy with trust has an indirect impact on repurchase intention of Thai eBay customer and that customer satisfaction, perceived usefulness, perceived interactivity and trust directly affect the repurchase intention of Thai eBay customers

Credibility-Based Binary Feedback Model for Grid Resource Planning

In commercial grids, Grid Service Providers (GSPs) can improve their profitability by maintaining the lowest possible amount of resources to meet client demand. Their goal is to maximize profits by optimizing resource planning. In order to achieve this goal, they require an estimate of the demand for their service, but collecting demand data is costly and difficult. In this paper we develop an approach to building a proxy for demand, which we call a value profile. To construct a value profile, we use binary feedback from a collection of heterogeneous clients. We show that this can be used as a proxy for a demand function that represents a client’s willingness-to-pay for grid resources. As with all binary feedback systems, clients may require incentives to provide feedback and deterrents to selfish behavior, such as misrepresenting their true preferences to obtain superior services at lower costs. We use credibility mechanisms to detect untruthful feedback and penalize insincere or biased clients. Finally, we use game theory to study how cooperation can emerge in this community of clients and GSPs

Consumer Behavior in the Online Marketplace: How Time and Access to Information Drive Consumer Decisions

The online marketplace is growing every year. As it continues to grow it is important to understand the interactions between online consumers and online merchants. This study examines the relationship between online merchants and online consumers focusing on how information is passed between the two. With consumers able to search and view dozens of stores in the time it used to take for many of them to drive to one, why are consumers not able to find the best price for the good they hope to buy? By examining past literature on information theory and consumer behavior, combined with considering a 3 x 3 sample of online consumers actually finding items in an online environment, this study will serve as a base for further research on what drives consumer interaction with electronic markets

Developing Effective Fraud Detection Methods for Online Auction

[[abstract]]The past decade has witnessed the rapid growth of online auctions. However, the low cost and anonymity in joining online auctions provided an easy path for fraudsters. The simple binary reputation system promoted by the auction site is clearly not enough to protect consumers from fraud. In view of this, many fraud detection methods have been proposed. Nevertheless, there are still many weaknesses needed to be improved. To help secure the online trading environment, this study aims at developing more effective methods to identify the fraudsters in online auctions. First, a novel selection method is proposed for deriving a concise attribute set used to build efficient detection models, which allow a reduction in detection costs while improving detection accuracy. In addition, a two-stage detection procedure is proposed wherein multiple mutual-complement models are combined for promoting overall detection accuracy. To evaluate the proposed methods, actual auction transaction histories were collected for testing. The experimental results show that these methods can outperform those in the previous work.[[notice]]補正完