User Review Portability: Why and How?

Kathuria, Vikas; Lai, Jessica C.

doi:10.2139/ssrn.3203344

Cited by 2 publications

(3 citation statements)

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“…Note that any individual who provides data to the platform is subject to the regulation, that is, both buyers and sellers. Legal scholars have welcomed the new legislation as a promising step and strong tool to allow for increased competition between digital platforms and give individuals more control over personal data [24], [25]. However, given a lack of clear interpretations it needs to be clarified what type of data is supposed to be ported from one platform to another [9], [26]-and if GDPR in its current form encompasses reputational information.…”

Section: Reputation Portabilitymentioning

confidence: 99%

“…Reputation data (both in the form of text reviews and ratings) is usually provided by others, that is, prior transaction partners, in particular buyers. In the case of text reviews, Kathuria & Lai [25] conclude that ownership would most likely be with the author or the platform-but not with the individual seller. Further, based on third-party (star) ratings, platforms calculate proprietary aggregated scores via their reputation systems.…”

Section: Reputation Portabilitymentioning

confidence: 99%

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Takeaway Trust: A Market Data Perspectiveon Reputation Portability in Electronic Commerce

Hesse

Teubner

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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Reputation has become a key factor within today's online platform landscape. In particular for sellers in electronic commerce, the management of reputation as a signal of trustworthiness has become a relevant business activity. Prior studies have focused on either the role of reputation within given (but platformbound) environments or general data portability between platforms. The question of cross-platform reputation portability, however, has thus far achieved much less attention. With this exploratory work, we present survey data on consumers' perception of portable reputation in the platform economy and a case study based on actual (seller) market data from an e-commerce marketplace. Our results show that consumers are generally receptive for imported seller reputation. However, for seller ratings to function as an effective signaling device across platform boundaries, adequate means of representation have yet to be found.

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Section: Reputation Portabilitymentioning

confidence: 99%

Section: Reputation Portabilitymentioning

confidence: 99%

Takeaway Trust: A Market Data Perspectiveon Reputation Portability in Electronic Commerce

Hesse

Teubner

2020

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…However, whether data portability can serve as an effective mechanism to address lock-in effects and how it should be implemented remain open questions, as do discussions of how to overcome lock-in effects and increase consumers' negotiation power to include reputational data as part of their personal data (Kathuria and Lai, 2018;Hesse and Teubner, 2019). 5 That is, reputational data do not fall under the scope of Article 20 according to current legal interpretations, because ratings and reviews are provided by reviewers and not the user, such that a user does not legally own her or his reputational data (Graef et al, 2013;Diker Vanberg and Ünver, 2017).…”

Section: Introductionmentioning

confidence: 99%

Lock-in Effects in Online Labor Markets

Stenzhorn¹,

Hornuf²

2021

AEA Randomized Controlled Trials

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This article reports on an investigation of the role of lock-in exploitation and the impact of reputation portability on workers' switching behaviors in online labor markets.Online platforms using reputation mechanisms typically prevent users from transferring their ratings to other platforms, inducing lock-in effects and high switching costs and leaving users vulnerable to platform exploitation. With a theoretical model, in which workers in online labor markets are locked-in by their reputational data, we test the effects using an online lab-in-the-field decision experiment. In addition to comparing a policy regime with and without reputation portability, we vary lock-in exploitation using platform fees to consider how switching behavior might differ according to monetary motives and fairness preferences. Theoretically, this study reveals how reputational investments can produce switching costs that platforms can exploit. Experimentally, the results suggest that reputation portability mitigates lock-in effects, making users less susceptible to lock-in exploitation. The data further show that switching is driven primarily by monetary motives, but perceiving the fee as unfair also has a significant role.

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User Review Portability: Why and How?

Cited by 2 publications

References 0 publications

Takeaway Trust: A Market Data Perspectiveon Reputation Portability in Electronic Commerce

Takeaway Trust: A Market Data Perspectiveon Reputation Portability in Electronic Commerce

Lock-in Effects in Online Labor Markets

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