Video killed the radio star? Online music videos and digital music sales

Sampling poses an interesting problem in markets with experience goods. Free samples reveal product quality and help consumers to make informed purchase decisions (promotional effect). However, sampling may also induce consumers to substitute purchases with free consumption (displacement effect). We study this trade-o_ in the market for digital music where consumers can sample the quality of songs by watching free music videos online. Identification comes from a natural experiment in Germany, where virtually all videos that contain music are blocked on a popular video platform due to a legal dispute with representatives of the rights-holders. We show that promotional and displacement effects cancel out in the sales performance of individual songs, whereas online music videos trigger sales of albums

Catch me if you can: effectiveness and consequences of online copyright enforcement

We evaluate the unexpected shutdown of kino.to, a major platform for unlicensed video streaming in the German market. Using highly disaggregated clickstream data in a difference-in-differences setting, we compare the web behavior of 20,000 consumers in Germany and three control countries. We find that this intervention was not very effective in reducing unlicensed consumption or encouraging licensed consumption, mainly because users quickly switch to alternative unlicensed sites. We highlight that the shutdown additionally had important unintended externalities. Individuals who never visited kino.to and who additionally clicked on news articles that covered the shutdown increased their visits to piracy websites substantially. We show that this effect largely comes from articles that explicitly mention alternative websites or suggest that users do not have to fear legal consequences from unlicensed streaming. Finally, we document that the unlicensed video streaming market is much more fragmented after the shutdown, potentially affecting future interventions, at least in the short run.We argue that our results can be helpful to understand why online piracy rates are still high, despite a plethora of enforcement efforts.info:eu-repo/semantics/acceptedVersio

Catch Me If You Can: Effectiveness and Consequences of Online Copyright Enforcement

We evaluate the unexpected shutdown of kino.to, a major platform for unlicensed video streaming in the German market. Using highly disaggregated clickstream data in a difference-in-differences setting, we compare the web behavior of 20,000 consumers in Germany and three control countries. We find that this intervention was not very effective in reducing unlicensed consumption or encouraging licensed consumption, mainly because users quickly switch to alternative unlicensed sites. We highlight that the shutdown additionally had important unintended externalities. Individuals who never visited kino.to and who additionally clicked on news articles that covered the shutdown increased their visits to piracy websites substantially. We show that this effect largely comes from articles that explicitly mention alternative websites or suggest that users do not have to fear legal consequences from unlicensed streaming. Finally, we document that the unlicensed video streaming market is much more fragmented after the shutdown, potentially affecting future interventions, at least in the short run. We argue that our results can be helpful to understand why online piracy rates are still high, despite a plethora of enforcement efforts

Understanding Car Data Monetization: A Taxonomy of Data-Driven Business Models in the Connected Car Domain

Data monetization has proven to be one of the most viable profit pools across industries. As vehicles become increasingly connected, leveraging their collected data through novel business models is the most promising value driver for automotive enterprises. Despite the increasing practical relevance, theoretical and conceptual insights on connected cars and their associated business models are still scarce. Thus, we develop a taxonomy of data-driven business models in theconnected car domain according to four perspectives—value proposition, value architecture, value network, and value finance. Further, we apply the taxonomy to analyze the business model of 70 companies acting under the realm of connected cars. A subsequent evaluation indicates both the robustness and general feasibility of our taxonomy. Our taxonomy contributes to descriptive knowledge in this emerging field and enables researchers and practitioners to analyze, design, andconfigure data-driven business models for connected cars

Enriching E-Participation through Augmented Reality: First Results of a Qualitative Study

Recent disputes over public construction projects show that the public is interested in urban development. When construction projects lack communication about its impact, agenda and costs, citizens might feel overheard and protests may arise. As a consequence, trust in public administration and politics could suffer serious damage. Following the idea of digital government, it is crucial not only to replicate and digitize established participation procedures, but rather to include new possibilities that e-participation offers. In this article, we present preliminary results of a qualitative study on using augmented reality for e-participation. Based on the study’s results, we derive metarequirements for an e-participation application employing this technology. Interestingly, our empirical findings suggest that users only seek information via the application up to a certain level of participation