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Service Innovation through Data Ecosystems – Designing a Recombinant Method

Service Innovation through Data Ecosystems – Designing a Recombinant Method

Philipp Hansmeier, Philipp zur Heiden, and Daniel Beverungen
This study designs a new method, RE-SIDE (recombinant service innovation through data ecosystems), to guide service innovation within complex, multi-actor data environments. Using a design science research approach, the paper develops and applies a framework that accounts for the broader repercussions of service system changes at an ecosystem level, demonstrated through an innovative service enabled by a cultural data space.

Problem Traditional methods for service innovation are designed for simple systems, typically involving just a provider and a customer. These methods are inadequate for today's complex 'service ecosystems,' which are driven by shared data spaces and involve numerous interconnected actors. There is a lack of clear, actionable methods for companies to navigate this complexity and design new services effectively at an ecosystem level.

Outcome - The study develops the RE-SIDE method, a new framework specifically for designing services within complex data ecosystems.
- The method extends existing service engineering standards by adding two critical phases: an 'ecosystem analysis phase' for identifying partners and opportunities, and an 'ecosystem transformation phase' for adapting to ongoing changes.
- It provides businesses with a structured process to analyze the broader ecosystem, understand their own role, and systematically co-create value with other actors.
- The paper demonstrates the method's real-world applicability by designing a 'Culture Wallet' service, which uses shared data from cultural institutions to offer personalized recommendations and rewards to users.
Service Ecosystem, Data Ecosystem, Data Space, Service Engineering, Design Science Research