Smart Service Systems Design
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ItemIntegrating Data and Service Lifecycle for Smart Service Systems Engineering: Compilation of a Lifecycle Model for the Data Ecosystem of Smart Living( 2022-01-04)In smart service systems engineering, where actors rely on the mutual exchange of data to create complex and holistic solutions, integration is crucial. Nevertheless, the management of data as a driving resource still lacks organizational structure. There is no holistic lifecycle approach that integrates data and service lifecycle and adopts a cross-actor perspective. Especially in data ecosystems, where sovereign actors depend on the mutual exchange of data to create complex, but transparent service systems, an integration is of crucial importance. This particularly applies to the smart living domain, where different industries, products and services interact in a complex environment. In this paper we address this shortcoming by proposing an integrated model that covers the different relevant lifecycles based on a systematic literature review and supplement it by concrete domain requirements from the smart living ecosystem obtained through semi-structured expert interviews.
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ItemFrom knowledge co-creation to value co-creation and beyond: challenging global emergency in smart service systems.( 2022-01-04)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.
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ItemContract-based Data-Driven Decision Making in Federated Data Ecosystems( 2022-01-04)Data-driven economies on the World Wide Web are based on coordination mechanisms for exhange and AI-based processing data assets provided by independent actors. Architectures for data-driven economies currently focus on the exchange of data assets and leave processing of data assets to background mechanisms. Without binding obligations, data sharing situations favor "no data sharing" as dominant strategy between agents. We present a broker framework that supports contract-based sharing, trading and processing of data assets between actors under 'lack-of-trust' conditions. Electronic contracts guarantee ownership and control of data assets, execution of defined data analytical tasks based on AI models and sharing of results according to contractual promises. A technical architecture (TUCANA) is presented that realizes a federated data economic ecosystem including the broker framework. We present an application based on an implementation of TUCANA.
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