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Peer-to-peer sharing and collaborative consumption platforms: a taxonomy and a reproducible analysis

机译：点对点共享和协作式消费平台：分类法和可再现的分析

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摘要

Airbnb and Uber enable private individuals to share physical resources via their Internet platforms, and both have become popular subjects of information systems and e-business research. In the top dogs’ slipstream resides a variety of less-known platforms that allow to share different resources or to share resources in different ways. Researchers who study these platforms and the underlying consumer behaviors face the problem of situating their findings precisely. Practitioners lack an overview of the diversity of these platforms and their characteristics too. This article suggests a taxonomy that helps to better characterize platforms for Peer-to-Peer (P2P) Sharing and Collaborative Consumption (SCC). We used the taxonomy to describe the evolution of 522 P2P SCC platforms over the period of 35 months and to demonstrate and partly evaluate its application. All descriptions taken together constitute a comprehensive data source to study P2P SCC platforms. When researchers use the taxonomy, they can describe and situate insights precisely so that stakeholders can access them more easily. Furthermore, researchers and practitioners can use our database as well as the analyses we made based on the data for their purpose. Because we deliver the computer scripts that we used in our analysis, our study can easily be reproduced in the future to investigate the dynamics of the P2P SCC market.
机译：Airbnb和Uber使私人可以通过其Internet平台共享物理资源，并且两者都已成为信息系统和电子商务研究的热门主题。排名靠前的是各种鲜为人知的平台，这些平台允许共享不同的资源或以不同的方式共享资源。研究这些平台和潜在消费者行为的研究人员面临着准确定位其发现的问题。从业者也缺乏对这些平台的多样性及其特征的概述。本文提出了一种分类法，可以帮助更好地表征对等（P2P）共享和协作消费（SCC）平台。我们使用分类法描述了522个P2P SCC平台在35个月内的演变，并演示并部分评估了其应用。所有描述一起构成了研究P2P SCC平台的综合数据源。当研究人员使用分类法时，他们可以准确地描述和定位见解，以便利益相关者可以更轻松地访问它们。此外，研究人员和从业人员可以使用我们的数据库以及基于数据进行分析的目的。因为我们提供了用于分析的计算机脚本，所以将来可以很容易地重现我们的研究，以研究P2P SCC市场的动态。

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