On-line Reputation Systems: The Effects of Feedback Comments and Reactions on Building and Rebuilding Trust in On-line Auctions

Utz, Sonja; Matzat, Uwe; Snijders, Chris

doi:10.2753/jec1086-4415130304

Cited by 93 publications

(65 citation statements)

References 30 publications

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“…This argument is supported by Ferrin et al [24], who reported that reticence was inferior in approach to denial and apology in trust building; and Utz et al [74], who observed that apology is superior to denial. Hence, we argue that the extent of response positively influences repaired trust.…”

Section: Violated Trust and Its Repairmentioning

confidence: 85%

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Trust violation and repair: The information privacy perspective

Bansal

Zahedi

2015

Decision Support Systems

103

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Section: Violated Trust and Its Repairmentioning

confidence: 85%

“…Also examines the mediating role of victims' willingness to reconcile on repairing trust. Utz et al [74] x x Used reputation systems, damaged product/delayed shipping scenarios Competence based (ability) vs. morality based (integrity)…”

Section: Tomlinson Andmentioning

confidence: 99%

Trust violation and repair: The information privacy perspective

Bansal

Zahedi

2015

Decision Support Systems

103

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“…Tais táticas são apresentadas no Quadro 1. Cremer (2010), Ferrin et al (2007), Kam (2009), Kim et al (2004), Kim et al (2006), Kim et al (2013), Laer e Ruyter (2010), Mattila (2009), Schniter et al (2012, Schweitzer et al (2006), Tomlinson et al (2004), Tomlinson (2012), Utz et al (2009), Vasalou et al (2008).…”

Section: Duplo Desviomentioning

confidence: 99%

Violação E Recuperação Da Confiança Do Cliente Após O Duplo Desvio

Basso

Santos

2014

REGE

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“…A high proportion of neutral ratings impairs sales for sellers with high proportions of positive ratings, but facilitates sales for sellers with high proportions of negative ratings [21]. In case a negative rating is received, textual feedback comments and reactions are important for rebuilding trust [22]. The information that sellers provide to buyers can also affect the sellers' reputation [23].…”

mentioning

confidence: 99%

Online Auction Fraud Detection in Privacy-Aware Reputation Systems

Lin

Khomnotai

2017

Entropy

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With a privacy-aware reputation system, an auction website allows the buyer in a transaction to hide his/her identity from the public for privacy protection. However, fraudsters can also take advantage of this buyer-anonymized function to hide the connections between themselves and their accomplices. Traditional fraudster detection methods become useless for detecting such fraudsters because these methods rely on accessing these connections to work effectively. To resolve this problem, we introduce two attributes to quantify the buyer-anonymized activities associated with each user and use them to reinforce the traditional methods. Experimental results on a dataset crawled from an auction website show that the proposed attributes effectively enhance the prediction accuracy for detecting fraudsters, particularly when the proportion of the buyer-anonymized activities in the dataset is large. Because many auction websites have adopted privacy-aware reputation systems, the two proposed attributes should be incorporated into their fraudster detection schemes to combat these fraudulent activities.

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On-line Reputation Systems: The Effects of Feedback Comments and Reactions on Building and Rebuilding Trust in On-line Auctions

Cited by 93 publications

References 30 publications

Trust violation and repair: The information privacy perspective

Trust violation and repair: The information privacy perspective

Violação E Recuperação Da Confiança Do Cliente Após O Duplo Desvio

Online Auction Fraud Detection in Privacy-Aware Reputation Systems

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