Big Data Competition and Market Power

Marco Gambaro
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引用次数: 3

Abstract

Big data are considered at the same time a promising driver of economic development and a concern for possible manipulation and privacy intrusion. Data diffusion and their uncertain appropriability can make property rights regarding data less precise than those regarding traditional goods. The article reviews some economic features of data. In many digital markets data can be considered a relevant input for production but hardly an essential facility. Many data are collected in two-sided market platforms and on the one side, they are used to personalise services and to add quality, while on the other side of the platform they contribute to make advertising collection more efficient. So, the transfer of personal data can be considered an implicit price for many free information services. Consumers are usually unaware of subsequent pervasive use of their personal data, and therefore give them away easily. Big data can amplify competitive advantages and related dominant positions, leveraging on information asymmetries. A dominant position obtained through collection and processing of big amounts of personal data allow practices such as first-degree price discrimination, personalised advertising, and artificial degradation of services that can sometimes be considered competitive abuse, but it is difficult that data alone allow to maintain a true dominant position.
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大数据竞争与市场力量
大数据被认为是经济发展的一个有希望的驱动力,同时也被认为是可能被操纵和侵犯隐私的担忧。数据的扩散及其不确定的占有性可能使数据的产权不如传统商品的产权精确。文章回顾了数据的一些经济特征。在许多数字市场中,数据可以被视为生产的相关投入,但很难被视为必不可少的设施。许多数据是在双边市场平台上收集的,一方面用于个性化服务和增加质量,另一方面有助于提高平台的广告收集效率。因此,个人数据的转移可以被视为许多免费信息服务的隐含价格。消费者通常不会意识到他们的个人数据随后被广泛使用,因此很容易泄露。大数据可以放大竞争优势和相关优势,利用信息不对称。通过收集和处理大量个人数据获得的主导地位允许进行一级价格歧视、个性化广告和人为降低服务等做法,这些做法有时可被视为竞争滥用,但仅凭数据很难维持真正的主导地位。
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