The Impact of Transparency on Data-driven Innovation in Online Platforms
Data derived from online platforms increasingly inform firms’ innovation processes, raising the potential for abuse and privacy violations. Hence, algorithmic and data transparency are required. This study contributes insights into the opportunities and barriers arising from data and algorithmic transparency for data-driven innovation approaches within platform ecosystems. The case of Apple Inc is
