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As of now, the academic community puts increasing attention on the ecosystem concept. Subsequently, a plethora of ecosystem conceptualizations emerges blurring the concept and making accurate utilization increasingly difficult. To address that issue, the study reports on an in-depth structured literature review following established, rigorous guidelines, with the goal in mind to structure and analyze the differing ecosystem conceptualizations and to produce a harmonized understanding of them. Based on the identified literature, we inductively derive mandatory and differentiating characteristics that are suitable to explain ecosystem configurations. Next, we use established clustering procedures to identify groups of ecosystems from the literature. From that, we propose five idealized types of ecosystems. The goal of the study is to provide the research community and practitioners with a conceptually sound understanding of different ecosystem types and, thus, giving them a tool to develop their own ecosystem approaches on them. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]