Abstract
Increasingly smart, the new product-service systems aim to provide more context-aware, personalised and adaptable services. Even more, based on machine-generated data, machine learning, and Big Data analytics, new smart services have on one side to outperform the human judgment, but on the other side to extend and improve human expertise and understanding for the context and the end-user' experiences. In this context, the present research aims to investigate how knowledge management approaches can enhance the design and delivery of context-aware smart services, especially for design of adaptable and personalised video games for learning. In its first part, the paper provides a short analysis of the smart services, revealing their main characteristics and outlining the specifics of their design and implementation. Then, a summary of knowledge management approaches determines the main knowledge-building processes in smart services design and delivery. Next, these approaches are applied in implementation of smart services into an educational video game platform. Finally, the paper discusses and critically assesses how the adoption of better knowledge management processes will add value to the practical implementation of smart services.
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CITATION STYLE
Antonova, A., Bontchev, B., & Gourova, E. (2020). Knowledge management approaches for smart services fordesigning adaptable and personalised video games. In Proceedings of the European Conference on Knowledge Management, ECKM (Vol. 2020-December, pp. 65–72). Academic Conferences and Publishing International Limited. https://doi.org/10.34190/EKM.20.212
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