%0 Generic
%A van Aalst, Cornelis Pieter Christian
%D 2021
%T 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
%U https://data.4tu.nl/articles/dataset/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/16543125/1
%R 10.4121/16543125.v1
%K data marketplaces
%K MPC
%K SMPC
%K automotive
%K data sharing
%K benefit
%K trust
%K data control
%K risk of data disclosure
%K herding effect
%X 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. <div><br></div><div>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.</div>
%I 4TU.ResearchData