From knowledge co-creation to value co-creation and beyond: challenging global emergency in smart service systems.

The study seeks to investigate the impact of pandemic on teaching and learning processes involved in Higher Education (HE) by analysing the way in which knowledge exchange and value co-creation are reframed through ICTs and technology. The adoption of the interpretative lens of Service Science permits to reread HE as a smart service system. The empirical research, based on content analysis as an inquiry, analyses: 1) the transformations introduced in technology adoption, information sharing, knowledge and value co-creation to comply with the disruption “imposed” by the the sanitary emergency; 2) the way in which this transformation can introduce novelties in Higher education system. The results identify the different drivers for value and knowledge co-creation that can be implemented in technology-enhanced teaching and learning and the different novelties that can be generated from the emergence of innovation

A knowledge-based framework for developing smart interfaces for smart service systems

Nowadays, smart service systems are value co-creating configurations of people, technologies, organisations,and information that are capable of in-dependent learning, adaptation, and decision-making. They are propelled byunprecedented advancements in connectivity, sensors, data storage, computation, and artificial intelligence. One of thekey challenges faced by those systems is how to provide smart interfaces, which can assist business users with limitedknowledge in business analytics in gaining business insights from business data. For this reason, this paper proposes aknowledge-based framework for developing smart interfaces for smart service systems, which will assist business usersin exploring business data to gain business in-sights and subsequently make better business decisions to promote valueco-creation. A prototype with simulation data has been developed and presented as a running example to illustrate how theproposed framework can be applied to create an effective smart interface for a typical smart service system: a customer intelligence system

Data-Driven Understanding of Smart Service Systems Through Text Mining

Smart service systems are everywhere, in homes and in the transportation, energy, and healthcare sectors. However, such systems have yet to be fully understood in the literature. Given the widespread applications of and research on smart service systems, we used text mining to develop a unified understanding of such systems in a data-driven way. Specifically, we used a combination of metrics and machine learning algorithms to preprocess and analyze text data related to smart service systems, including text from the scientific literature and news articles. By analyzing 5,378 scientific articles and 1,234 news articles, we identify important keywords, 16 research topics, 4 technology factors, and 13 application areas. We define ???smart service system??? based on the analytics results. Furthermore, we discuss the theoretical and methodological implications of our work, such as the 5Cs (connection, collection, computation, and communications for co-creation) of smart service systems and the text mining approach to understand service research topics. We believe this work, which aims to establish common ground for understanding these systems across multiple disciplinary perspectives, will encourage further research and development of modern service systems