3,206 research outputs found

    Commercial and Regulatory Aspects of Reverse Hybrid Mail

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    Driven by market opening and increased competition from electronic communication, postal operators have started extending their scope of business by offering hybrid mail services in addition to physical mail conveyance. This paper discusses commercial and regulatory aspects of reverse hybrid mail, i.e. the electronic delivery and archiving of physical mail messages. It argues that postal operators are well positioned to offer hybrid services due to their established brands and their reputation. The introduction of reverse hybrid mail is able to significantly reduce the cost of postal operations while at the same time fitting customers' needs better than traditional postal services. However, these effects rely on the assumption that a postal operator is actually allowed to introduce an electronic delivery system of letters to entire regions and to thereby partially substitute the physical delivery to the doorstep.Reverse hybrid mail, Regulation, Postal market, Substitution, Intermodal competition

    Market Transparency, Adverse Selection, and Moral Hazard

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    We study the effects of improvements in market transparency on eBay on seller exit and continuing sellers’ behavior. An improvement in market transparency by reducing strategic bias in buyer ratings led to a significant increase in buyer valuation especially of sellers rated poorly prior to the change, but not to an increase in seller exit. When sellers had the choice between exiting—a reduction in adverse selection—and improved behavior—a reduction in moral hazard—, they preferred the latter because of lower cost. Increasing market transparency improves on market outcomes

    The Actual Structure of eBay’s Feedback Mechanism and Early Evidence on the Effects of Recent Changes

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    eBay’s feedback mechanism is considered crucial to establishing and maintaining trust on the world’s largest trading platform. The effects of a user’s reputation on the probability of sale and on prices are at the center of a large number of studies. More recent theoretical work considers aspects of the mechanism itself. Yet, there is confusion amongst users about its exact institutional details, which also changed substantially in the last few months. An understanding of these details, and how the mechanism is perceived by users, is crucial for any assessment of the system. We provide a thorough description of the institutional setup of eBay’s feedback mechanism, including recent changes to it. Most importantly, buyers now have the possibility to leave additional, anonymous ratings on sellers on four different criteria. We discuss the implications of these changes and provide first descriptive evidence on their impact on rating behavior

    Trademark: I Love You…You\u27re Fired!

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    Trademark: I Love You…You\u27re Fired!

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    Last Minute Feedback

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    Feedback mechanisms that allow partners to rate each other after a transaction are considered crucial for the success of anonymous internet trading platforms. We document an asymmetry in the feedback behavior on eBay, propose an explanation based on the micro structure of the feedback mechanism and the time when feedbacks are given, and support this explanation by findings from a large data set. Our analysis implies that the informational content of feedback records is likely to be low. The reason for this is that agents appear to leave feedbacks strategically. Negative feedbacks are given late, in the "last minute," or not given at all, most likely because of the fear of retaliative negative feedback. Conversely, positive feedbacks are given early in order to encourage reciprocation. Towards refining our insights into the observed pattern, we look separately at buyers and sellers, and relate the magnitude of the effects to the trading partners' experience

    The Actual Structure of eBay’s Feedback Mechanism and Early Evidence on the Effects of Recent Changes

    Get PDF
    eBay’s feedback mechanism is considered crucial to establishing and maintaining trust on the world’s largest trading platform. The effects of a user’s reputation on the probability of sale and on prices are at the center of a large number of studies. More recent theoretical work considers aspects of the mechanism itself. Yet, there is confusion amongst users about its exact institutional details, which also changed substantially in the last few months. An understanding of these details, and how the mechanism is perceived by users, is crucial for any assessment of the system. We provide a thorough description of the institutional setup of eBay’s feedback mechanism, including recent changes to it. Most importantly, buyers now have the possibility to leave additional, anonymous ratings on sellers on four different criteria. We discuss the implications of these changes and provide first descriptive evidence on their impact on rating behavior.eBay; reputation mechanism; strategic feedback behavior; informational content; reciprocity; fear of retaliation

    Last Minute Feedback

    Get PDF
    Feedback mechanisms that allow partners to rate each other after a transaction are considered crucial for the success of anonymous internet trading platforms. We document an asymmetry in the feedback behavior on eBay, propose an explanation based on the micro structure of the feedback mechanism and the time when feedbacks are given, and support this explanation by findings from a large data set. Our analysis implies that the informational content of feedback records is likely to be low. The reason for this is that agents appear to leave feedbacks strategically. Negative feedbacks are given late, in the "last minute," or not given at all, most likely because of the fear of retaliative negative feedback. Conversely, positive feedbacks are given early in order to encourage reciprocation. Towards refining our insights into the observed pattern, we look separately at buyers and sellers, and relate the magnitude of the effects to the trading partners' experience.eBay; reputation mechanism; strategic feedback behavior; informational content; reciprocity; fear of retaliation
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