eprintid: 50401 rev_number: 13 eprint_status: archive userid: 1482 importid: 105 dir: disk0/00/05/04/01 datestamp: 2025-02-07 09:24:03 lastmod: 2025-02-19 14:09:21 status_changed: 2025-02-19 14:09:12 type: monograph metadata_visibility: show creators_name: Carballa Smichowski, Bruno creators_name: Lefouili, Yassine creators_name: Mantovani, Andrea creators_name: Reggiani, Carlo creators_id: Yassine.Lefouili@ut-capitole.fr creators_id: andrea.mantovani@ut-capitole.fr creators_idrefppn: 241081432 creators_idrefppn: 09100795X creators_idrefppn: 264969901 creators_halaffid: 1002422 creators_halaffid: 1002422 title: Data Sharing or Analytics Sharing ? ispublished: pub subjects: subjects_ECO abstract: 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. date: 2025-02 date_type: published publisher: TSE Working Paper official_url: http://tse-fr.eu/pub/130300 faculty: tse divisions: tse keywords: Data sharing keywords: analytics sharing keywords: data platforms language: en has_fulltext: TRUE subjectsJEL: JEL_D43 subjectsJEL: JEL_K21 subjectsJEL: JEL_L11 subjectsJEL: JEL_L13 subjectsJEL: JEL_L41 subjectsJEL: JEL_L86 subjectsJEL: JEL_M21 subjectsJEL: JEL_M31 view_date_year: 2025 full_text_status: public monograph_type: working_paper series: TSE Working Paper volume: 25-1615 place_of_pub: Toulouse pages: 32 institution: Université Toulouse Capitole department: Toulouse School of Economics book_title: TSE Working Paper oai_identifier: oai:tse-fr.eu:130300 harvester_local_overwrite: pending harvester_local_overwrite: note harvester_local_overwrite: department harvester_local_overwrite: creators_name harvester_local_overwrite: creators_idrefppn harvester_local_overwrite: title harvester_local_overwrite: creators_halaffid harvester_local_overwrite: pages harvester_local_overwrite: place_of_pub harvester_local_overwrite: creators_id harvester_local_overwrite: institution harvester_local_overwrite: hal_id harvester_local_overwrite: hal_version harvester_local_overwrite: hal_url harvester_local_overwrite: hal_passwd oai_lastmod: 2025-02-18T15:24:07Z oai_set: tse site: ut1 hal_id: hal-04956937 hal_passwd: b?@8kna hal_version: 1 hal_url: https://hal.science/hal-04956937 citation: Carballa Smichowski, BrunoIdRef , Lefouili, YassineIdRef , Mantovani, AndreaIdRef and Reggiani, Carlo (2025) Data Sharing or Analytics Sharing ? TSE Working Paper, n. 25-1615, Toulouse document_url: https://publications.ut-capitole.fr/id/eprint/50401/1/wp_tse_1615.pdf