The transformation of data into an independent and strategic asset poses challenges for companies, regulators and policymakers alike. On 17 June 2019 in Berlin, together with the German Economic Institute (IW), Intereconomics hosted a conference on the “Data-Driven Economy” to reflect on the challenges and opportunities of competition policy, business models and data governance.
In order to guide the data-driven economy to benefit the greater good, regulators and policymakers will have to refine an often inefficient legal and regulatory framework. Justus Haucap opened the event with a look at direct and indirect network effects and the challenges they pose for regulators with regards to competition and competition policy for platform markets. On the business side, Markus Spiekermann looked at tools such as marketplaces to utilise and monetise data.
During the conference as well as here in this issue, Barbara Engels, Bruno Carballa Smichowski and Max von Grafenstein discuss their perspectives on – and varying models of – data governance. From the role data governance plays as an enabler of the data economy to its role in enhancing innovation and welfare, our discussants clearly showed that there is no “one-size-fits-all” model of this concept. Looking at data governance from a management as well as a societal perspective, participants defined its terminology and provided examples of its application.
As we prepared to send this issue to print, we conducted final reviews with our authors who were on planes, trains and on top of mountains. To everyone heading out on summer holidays, we wish you a relaxing vacation and may we recommend taking the latest issue of Intereconomics with you to the beach or wherever you may be heading – it makes excellent summer reading. ;-)
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