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Digital Servitization is one of the significant trends affecting the manufacturing industry. Companies try to tackle challenges regarding their differentiation and profitability using digital services. One specific type of digital services are smart services, which are digital services built on data from smart products. Introducing these kinds of offerings into the portfolio of manufacturing companies is not trivial. Moreover, they require conscious action to align all relevant capabilities to realize the respective business goals. However, what capabilities are generally relevant for smart services remains opaque. We conducted a systematic literature review to identify them and extended the results through an interview study. Our analysis results in 78 capabilities clustered among 12 principles and six dimensions. These results provide significant support for the smart service transformation of manufacturing companies and for structuring the research field of smart services.
Digitalization offers enormous opportunities not only to optimize operational processes, but also to redefine creative processes, e.g., in the area of innovation. This is becoming increasingly important in light of the fact that innovation is increasingly taking place in ecosystems, which means that an enormous amount of collaboration must be enabled in distributed and interdisciplinary teams. To be successful in this, innovation teams need easy access to the multitude of methods and assistance in selecting the appropriate method for the specific task. To this end, we propose a classification framework that structures methods from innovation management and service design based on higher-level task areas. The framework was developed and evaluated together with several companies. Results were implemented in the form of a playbook that won the red dot design award. [https://link.springer.com/chapter/10.1007/978-3-030-80840-2_22]
The design, planning and control of complex integrated solutions are seen as a key capability of the competitiveness of companies in the future. The integration of complex value systems will be the leading paradigm for future design and key element of learning and innovation processes in the dynamically changing manufacturing and service industries. To meet with this challenges entirely new perspectives and ways of researching and the integrated designing of complex, highly interdependent value delivery systems will be required. Currently dominating single perspective and static frameworks and research methods fall short in this perspective.