From user-generated data to data-driven innovation: A research agenda to understand user privacy in digital markets

作者：

Highlights：

• The main uses of the data-driven innovation strategies used by companies and their link to the privacy of users are reviewed.

• Seven data-driven based topics were found as the main factor to determine next studies in this area of research.

• A research agenda on user-generated data analysis using data-driven innovation and preserving user’s privacy are presented.

• Our results highlight the urgent need to better understand data-driven innovation strategies that could affect user privacy.

摘要

•The main uses of the data-driven innovation strategies used by companies and their link to the privacy of users are reviewed.•Seven data-driven based topics were found as the main factor to determine next studies in this area of research.•A research agenda on user-generated data analysis using data-driven innovation and preserving user’s privacy are presented.•Our results highlight the urgent need to better understand data-driven innovation strategies that could affect user privacy.

论文关键词：User-generated data,Data-driven innovation,Users’ privacy,Privacy concerns

论文评审过程：Received 24 November 2020, Revised 7 February 2021, Accepted 8 February 2021, Available online 19 February 2021, Version of Record 11 August 2021.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2021.102331