Research data - Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation

This dataset is a supplementary document to the article entitled "Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation." It is also a supplementary document for Chapter 3 of the dissertation entitled "The impact of Multi-Party Computation on data sharing decisions in data marketplaces: insights from businesses and consumers". The data was collected through semi-structured interviews conducted in March-June 2020. Further details are provided in the article and in the methodology section in Chapter 3 of the dissertation.

本数据集为题为《数据市场中隐私保护技术的商业模式影响：以多方计算（Multi-Party Computation）为例》的文章的补充文档，同时也是题为《多方计算对数据市场中数据共享决策的影响：来自企业与消费者的洞察》的学位论文第3章的补充材料。数据集相关数据于2020年3月至6月期间通过半结构化访谈采集完成。更多详细信息可参见该文章以及该学位论文第3章的方法论部分。