TY  - RPRT
CY  - Toulouse
ID  - publications50401
UR  - http://tse-fr.eu/pub/130300
A1  - Carballa Smichowski, Bruno
A1  - Lefouili, Yassine
A1  - Mantovani, Andrea
A1  - Reggiani, Carlo
Y1  - 2025/02//
N2  - Data combination and analytics can generate valuable insights for firms and society as a whole. Firms can seize these opportunities by joining platforms that either allow them to access the data contributed by other firms or provide the result of the analytics performed on such data, depending on whether the platform adopts ''data sharing'' or "analytics sharing" technologies. The former technology enables firms to exploit their data endowment together with the data contributed by others, whereas the latter offers advantages in terms of privacy and security by reducing data transmission. We present a model that allows us to study the economic and managerial incentives generated by these technologies for both firms and a platform. First, we find that the platform chooses analytics sharing only when the security advantage of this technology is sufficiently large. Second, we show that analytics sharing results in a higher total data contribution than data sharing under general and reasonable conditions. Third, we determine the optimal data-combination technology from the perspective of consumers and discuss potential misalignments between the platform's and consumers' preferred technology. Our findings carry relevant policy and managerial implications, offering a pathway to enhance both data provision and security.
PB  - TSE Working Paper
T3  - TSE Working Paper
KW  - Data sharing
KW  - analytics sharing
KW  - data platforms
M1  - working_paper
TI  - Data Sharing or Analytics Sharing ?
AV  - public
EP  - 32
ER  -