Data underlying the master thesis: Multiparty Computation. Identifying the Consumers' Willingness to Share Sensitive Automotive Data on MPC-enabled Data Marketplaces: A Discrete Choice Modelling Approach

The main raw dataset within the .RAR-file contains stated choice data from consumers about MPC-enabled data marketplaces. This dataset may be used to determine the consumers' willingness to contribute automotive (GPS) data on MPC-enabled data marketplaces. Van Aalst (2021, ch. 7) draws conclusions and recommendations for future research. <br>Furthermore, read the README.txt file very carefully to see in which way you can use these data in Discrete Choice Modeling (DCM) in Rstudio to retrieve the data-sharing factor estimates. These data can be utilized in predicting consumers' willingness to share automotive GPS data in similar data marketplaces.

.RAR压缩包内的核心原始数据集收录了消费者针对支持多方计算（Multi-Party Computation，MPC）的数据交易市场的陈述性选择实验数据。该数据集可用于测算消费者在支持MPC的数据交易市场中贡献车载（GPS）数据的意愿。Van Aalst（2021年，第7章）针对该研究得出了结论，并为后续研究提出了建议。<br>此外，请务必仔细阅读README.txt文件，了解如何在RStudio中开展离散选择建模（Discrete Choice Modeling，DCM）以获取数据共享因子的估计值。此类数据还可用于预测消费者在同类数据交易市场中共享车载GPS数据的意愿。