Digital transformation in the manufacturing industry : business models and smart service systems

The digital transformation enables innovative business models and smart services, i.e. individual services that are based on data analyses in real-time as well as information and communications technology. Smart services are not only a theoretical construct but are also highly relevant in practice. Nine research questions are answered, all related to aspects of smart services and corresponding business models. The dissertation proceeds from a general overview, over the topic of installed base management as precondition for many smart services in the manufacturing industry, towards exemplary applications in form of predictive maintenance activities. A comprehensive overview is provided about smart service research and research gaps are presented that are not yet closed. It is shown how a business model can be developed in practice. A closer look is taken on installed base management. Installed base data combined with condition monitoring data leads to digital twins, i.e. dynamic models of machines including all components, their current conditions, applications and interaction with the environment. Design principles for an information architecture for installed base management and its application within a use case in the manufacturing industry indicate how digital twins can be structured. In this context, predictive maintenance services are taken for the purpose of concretization. It is looked at state oriented maintenance planning and optimized spare parts inventory as exemplary approaches for smart services that contribute to high machine availability. Taxonomy of predictive maintenance business models shows their diversity. It is viewed on the named topics both from theoretical and practical viewpoints, focusing on the manufacturing industry. Established research methods are used to ensure academic rigor. Practical problems are considered to guarantee practical relevance. A research project as background and the resulting collaboration with different experts from several companies also contribute to that. The dissertation provides a comprehensive overview of smart service topics and innovative business models for the manufacturing industry, enabled by the digital transformation. It contributes to a better understanding of smart services in theory and practice and emphasizes the importance of innovative business models in the manufacturing industry

Study on the Value Promotion and Development Strategy of Smart Tourism

With the world’s science and technology becoming more and more mature and perfect, as well as the environment of supporting policy optimized and application prospects become more extensive, new terms, such as, smart earth, smart city, smart scenic spots, smart hotels, smart services, and smart marketing process have swept the world. The era of smart travel has arrived. However, it must be realized that smart tourism era is not the so called traditional tourist normalization and the simple integration of tourism industry or IT technology, the focus is its future development trend, the value promotion and development strategy. This article first reviews the research of smart tourism, and then uses SPSS17.0 to do empirical analysis through the questionnaire. After that it put out four core value of smart tourism which are science and technology innovation value, industrial support value, economic contribution value and social pull value. By using the correlation analysis to analyze the correlation of the four core value, thus put forward six enhancement development strategies, which makes smart tourism become the gripper to ascend tourism industry science and technology value and to improve the strategic position of tourism industry