A data intermediary pays consumers for information about their preferences and sells the information so acquired to firms that use it to tailor their products and prices. The social dimension of the individual data - whereby an individual's data are predictive of the behavior of others -...

Policy makers are increasingly concerned about the combination of market power and massive data collection in digital markets. This concern is fueled by the theoretical prediction that more market power causes firms to collect ever more data from their users. We investigate the relationship...

This article intend to analyze specifically and in a non-exhaustive format (i) the blockchain technology, (ii) discuss, in general terms, the obstacles in the use of this tool by tax authorities to obtain information and efficiently cross-check data and (iii) present the practical challenges to...

Direct to consumer (DTC) genetic testing has recently become a popular trend in the United States. There are countless private actors that could have an interest in the genetic data that has been collected and interpreted by DTC genetic testing companies, such as 23andMe. For instance, what...

Privacy in multiple independent data publishing has attracted considerable research interest in recent years. Although each published data set poses a small privacy risk to individuals, recent studies show that this risk increases when different organizations have some common records and they...

The County Business Patterns data published by the US Census Bureau track employment by county and industry from 1946 to the present. Two features of the data limit their usefulness to researchers in practice: (1) employment for the majority of county-industry cells is suppressed to protect...

The purpose of this study is to find out the impact of awareness, privacy & safety, cost, convenience, social influence, and habits on the adoption of IoT in Indian banks. The sample size of 467 Indian customers has been taken for the study. The Confirmatory Factor Analysis (CFA) is applied for...

We study the international protection of consumer data in a model where data usage benefits firms at the expense of their customers. We show that a multinational firm does not balance this trade-off efficiently if its data usage lacks (full) transparency or if consumers’ privacy preference...