TY - DATA
T1 - 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
PY - 2021/08/31
AU - Cornelis Pieter Christian van Aalst
UR - 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
DO - 10.4121/16543125.v1
KW - data marketplaces
KW - MPC
KW - SMPC
KW - automotive
KW - data sharing
KW - benefit
KW - trust
KW - data control
KW - risk of data disclosure
KW - herding effect
N2 - 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>
ER -