Cultures of Trust: Effects of Avatar Faces and Reputation Scores on German and Arab Players in an Online Trust-Game

Bente, Gary; Dratsch, Thomas; Kaspar, Kai; Häßler, Tabea; Bungard, Oliver; Al‐Issa, Ahmad

doi:10.1371/journal.pone.0098297

Cited by 37 publications

(25 citation statements)

References 58 publications

(57 reference statements)

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“…Examples of reputation systems are feedback mechanisms, ratings, and referrals. Eight studies identified a positive impact of reputation indicators such as reputation scores, ratings, and textual reviews (Ba & Pavlou, ; Bente et al, ; Ertz, ; Li et al, ; Malinen & Ojala, ; Pavlou & Dimoka, ; Teubner & Hawlitschek, in press; Thierer et al, ). For example, a survey among eBay users found that positive ratings of sellers lead to higher trust levels.…”

Section: Resultsmentioning

confidence: 99%

Antecedents of trust in the sharing economy: A systematic review

Huurne

Ronteltap

Corten

et al. 2017

J of Consumer Behaviour

344

225

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Users and potential users of the sharing economy need to place a considerable amount of trust in both the person and the platform with which they are dealing. The consequences of transaction partners’ opportunism may be severe, for example damage to goods or endangered personal safety. Trust is, therefore, a key factor in overcoming uncertainty and mitigating risk. However, there is no thorough overview of how trust is developed in this context. To understand how the trust of users in the sharing economy is influenced, we performed a systematic literature review. After screening, 45 articles were included in a qualitative synthesis in which the results were grouped according to a well‐established trust typology. The results show various antecedents of trust in the sharing economy (e.g. reputation, trust in the platform, and interaction experience) related to multiple entities (i.e. seller, buyer, platform, interpersonal, and transaction). Trust in this economy is often reduced to the use of reputation systems alone. However, our study suggests that trust is much more complex than that and extends beyond reputation. Furthermore, our review clearly shows that research on trust in the sharing economy is still scarce and thus more research is needed to understand how trust is established in this context. Our review is the first that brings together antecedents of trust in online peer‐to‐peer transactions and integrates these findings within an existing framework. Additionally, the study suggests directions for future research in order to advance the understanding of trust in the sharing economy.

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Section: Resultsmentioning

confidence: 99%

Antecedents of trust in the sharing economy: A systematic review

Huurne

Ronteltap

Corten

et al. 2017

J of Consumer Behaviour

344

225

View full text Add to dashboard Cite

show abstract

“…Page4 Bente, et al (2014) who confirmed the link between the website reputation and the visitors' trust among German and Arab users. In addition, the online purchasing behavior between these two groups was insignificant, implying common online behavior across two cultures.…”

Section: H1: Customers' Perceived Risk Is Negatively Related To Theirmentioning

confidence: 90%

Direct and Indirect Effects of Perceived Risk and Website Reputation on Purchase Intention

Tangmanee¹,

Rawsena²

2016

IJRBS

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Success in electronic commerce relies greatly on customer's trust. While other studies have examined various factors affecting the online trust, a few have researched on the joint effects of perceived risk and website reputation on purchase intention using online trust as a mediator. The current study attempts to fill the gap. 300 samples of online shoppers participated in web-based questionnaires using a quota sampling technique. Based on the confirmatory factor analysis (CFA), the measurement is valid and reliable. Using the structural equation modeling (SEM) technique, we confirmed the significant direct effects of the perceived risk and the website reputation on the purchase intention. Furthermore, both factors did have the significant indirect effects on the intention through the online trust. In addition to extending theoretical insight into the online trust as a mediator for the effects of the perceived risk and the website reputation on the purchase intention, web-based vendors may adopt the findings to adjust their online stores to raise customer's trust and ultimately increase the possibility of the purchase.

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“…Skulmowski, Bunge, Kaspar, & Pipa, 2014). Also, given cross-cultural differences regarding, for example, one's motivation to share information in computer-based systems (Zhang, Ordóñez de Pablos, & Xu, 2014) or one's tendency to consider specific information about others in online business (Bente et al, 2014), culture-specific attentional preferences should be investigated. For example, while studies investigating western samples reported a reliable positivity bias in older adults (e.g., Isaacowitz et al, 2006), Fung et al (2008) found that older Chinese looked away from happy facial expressions.…”

Section: Discussionmentioning

confidence: 99%