Data sharing for business model innovation in platform ecosystems: From private data to public good

Extant research posits that open data could unlock more than $3 trillion in additional value worldwide across various application domains. This paper investigates a data-sharing perspective in business models of platform ecosystems and discusses how platform owners can derive more value using data. We chose a sample of 12 platforms in which data are used as a key resource for service propositions. By contrasting these cases, we identify and analyse four archetypes: data crawler, data marketplace, data aggregator, and data disseminator. We define the key features of these archetypes and demonstrate how they realise value via the platform. These archetypes can guide managers in realising private and public goods via data sharing. Building on our findings, we derive recommendations for data-driven business model innovation for platform ecosystems.

Automated summary

This paper investigates the role of data sharing in business models of platform ecosystems. By analyzing 12 platforms where data is a key resource, the authors identify four archetypes: data crawler, data marketplace, data aggregator, and data disseminator. These archetypes guide managers in realizing value through data sharing and provide recommendations for data-driven business model innovation.