Design Principles for Creating a Pay-per-Part Value Proposition in Data Ecosystems

Abstract

In practice and research, pay-per-part business models are becoming increasingly popular. Amongst others mechanical engineering companies, banks, insurances, and IT companies are working on these new business models. There is increasing evidence that the enabler for pay-per-part approaches is the cooperative use of data across company boundaries, being discussed in literature under the term data ecosystem. Along two case studies, a total of eleven companies were accompanied from the definition of the cooperative pay-per-part value proposition to the implementation of a proof of concept. Based on these case studies, eleven design principles could be derived. These design principles provide companies a guidance when designing a cooperative value proposition within an ecosystem. The identified design principles were mapped to different stakeholder groups that are involved in the design of a cooperative value proposition. The generated design principles were evaluated and implications for practitioners and research given

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