A fair reputation system for use in online auctions

Lin, Iuon-Chang; Wu, Hao-Ju; Li, Shufen; Cheng, Chen-Yang

doi:10.1016/j.jbusres.2014.11.045

Cited by 10 publications

(7 citation statements)

References 20 publications

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“…Reputation is defined as the degree of a user's belief that sharing information on an s-commerce site can increase his/her reputation (Shiau and Luo 2012). Prior studies regarding s-commerce have proposed that reputation is a key factor that affects a user's experience and behavioral intentions (Jin et al 2010;Kankanhalli et al 2005;Lin et al 2015). For example, studies regarding social identity in online communities suggest that certain individuals participate in these communities because it enhances their reputation and builds their online self-concept (Hsu and Lin 2008).…”

Section: Effects Of Social Exchange Beliefs On Satisfactionmentioning

confidence: 99%

Determinants of consumers’ intentions to share knowledge and intentions to purchase on s-commerce sites: incorporating attitudes toward persuasion attempts into a social exchange model

2019

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This research explores s-commerce users' intentions to purchase and to share knowledge by incorporating 'attitudes toward persuasion attempts,' 'ease of use,' and 'perceived usefulness' into a social exchange theory model. A survey using an on-site purposive sampling technique was used to recruit the respondents, and an interception technique was used to approach the consumers. A total of 471 Korean consumers participated in this research. Based on 471 Korean social-commerce users, our results reveal that social exchange belief factors and a site's usability affect user satisfaction, which subsequently affects users' intentions to purchase and to share knowledge. In addition, attitudes toward persuasion attempts moderate the effect of satisfaction on users' purchase intentions.

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Section: Effects Of Social Exchange Beliefs On Satisfactionmentioning

confidence: 99%

Determinants of consumers’ intentions to share knowledge and intentions to purchase on s-commerce sites: incorporating attitudes toward persuasion attempts into a social exchange model

2019

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“…Amir Ajoriou et al study the word-of mouth effect on optimal dynamic pricing for a monopolist selling a product to consumers in a social network [27]. While the false and malicious comments reduce the quality of online reviews, there are lots of studies that focus on the detection of spam online reviews [28] and reputation models [29], and how to obtain more honest online reviews [30]. For example, Zhao et al design a wage-based incentive mechanism to obtain honest feedback, and an extensive simulation evaluation demonstrated that the mechanism is effective [30].…”

Section: Literature Reviewmentioning

confidence: 99%

Online Reviews Matter: How Can Platforms Benefit from Online Reviews?

Dong

et al. 2019

Sustainability

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Online reviews mitigate uncertainty about product quality that is caused by information asymmetry. However, low-quality online reviews are not effective, while high-quality online reviews may raise costs. Unlike the previous studies, this paper develops a game-theoretic model to examine the feasibility and pricing of online review supervision mechanism for operators of platforms that are based on the ‘network externality’. The results reveal that platforms are not always benefited from online reviews. We provide a new perspective and give some preventive suggestions for platforms with a view to furthering sustainable development.

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“…Then, it should aggregate and display all the filtered feedback information correctly. Research has focused on quality control after the user feedback is generated-for example, detection of spam reviews (Kim et al, 2006;Korfiatis et al, 2012) and reputation models (Bharadwaj and Al-Shamri, 2009;Lin et al, 2015). Not included were discussions about the constraints and incentives used during the generation of online reviews.…”

Section: Related Literaturementioning

confidence: 99%

“…With continuous improvement in the trading environment, the main risk is consumers' uncertainty about the quality of goods (Westland, 2002;Zhu and Zhang, 2010). Studies have shown that online reputation systems (user-feedback mechanisms) can effectively solve this problem (Dellarocas, 2003;Lin et al, 2015;Resnick et al, 2000). Reputation systems have been widely used in many e-commerce platforms, such as Taobao(Taobao.com), eBay, Amazon, and others.…”

Section: Introductionmentioning

confidence: 99%