Abstract
Recent academic research has paid particular attention to how digitalization disrupts current business models and business environments. Furthermore, servitization has gained significant attention. However, so far only a fraction of the wide range of opportunities related to digitalization has been realized. In this paper we aim to better understand the drivers, limitations and stakeholder expectations in different industrial business environments. In the proposed paper, we address digitalization in the area of engineering asset management from the following perspectives: (1) enablers and barriers of digitalized asset management service business, (2) availability and use of data for decision-making support, and (3) changes for business models. We also further contemplate which decision-making situations need to be supported by digital asset services. The paper is based on data received from a company workshop and a literature review.
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Acknowledgements
The authors gratefully acknowledge the Finnish Funding Agency for Technology and Innovation for funding the research project and the companies involved in the research. We also wish to thank the colleagues from VTT and Tampere University of Technology for their valuable comments.
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Ahonen, T. et al. (2019). Enablers and Barriers of Smart Data-Based Asset Management Services in Industrial Business Networks. In: Mathew, J., Lim, C., Ma, L., Sands, D., Cholette, M., Borghesani, P. (eds) Asset Intelligence through Integration and Interoperability and Contemporary Vibration Engineering Technologies. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95711-1_6
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DOI: https://doi.org/10.1007/978-3-319-95711-1_6
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