Data are a new resource to generate novel value for customers and to extend existing traditional services with a digital component. The manufacturing industry, usually, is characterized by analog service offerings built around product sales and therefore misses new market opportunities. One reason for that is the lack of assistance in innovating new data-driven services. Thus, to address that issue, this research paper generates a taxonomy of data-driven services in manufacturing industries. We use the established theoretical framework Service-Dominant Logic (SDL) to conceptualize the role and nature of data in new service offerings. The taxonomy is grounded both theoretically through its link to the existing knowledge base and empirically through the analysis of 100 data-driven services drawn from Crunchbase. It serves as a scientific instrument to profoundly and explicitly describe data-driven services in manufacturing and gives companies significant insight to incorporate value creation through goal-oriented data utilization and service design.
Azkan, Can; Iggena, Lennart; Gür, Inan; Möller, Frederik; and Otto, Boris, "A Taxonomy for Data-Driven Services in Manufacturing Industries" (2020). PACIS 2020 Proceedings. 184.
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