A digital service ecosystem enables value creation and the co-development of services in a value network under a common ecosystem regulation. The ecosystem members are able to focus on their core competences and can strengthen their forces by co-operating; yet remaining able to act independently. However, due to regulated environment, the ecosystem elements-i.e. ecosystem members, capabilities, infrastructure and the existing ecosystem assets-have an influence on digital service engineering, especially in the service requirements engineering phase. The main contribution of this paper is to describe how to specify the requirements of digital services in a digital service ecosystem. To this aim, this paper introduces the basic definitions and elements of the digital service ecosystem, and a scenario-based service requirement engineering (RE) method for the digital service ecosystem. A practical example is given to illustrate the use of the RE method. The collected feedback from the RE method users highlights the user experiences on the advantages and limitations of the proposed method.
The Amigo project aims to develop a networked home system enabling the ambient intelligence / pervasive computing vision by effectively integrating devices and their hosted services in today's home. The Amigo system architecture poses limited technology-specific restrictions, supporting interoperability among heterogeneous services.
Digitalization is strongly entering new application domains around the world, thus also entering people's everyday lives. Digitalization enables creating new kinds of businesses, but it also changes the way services, applications and data are provided and consumed. We carried out interviews with company representatives acting in the energy domain to receive up-to-date information about the companies' awareness of digitalization, and the required changes they have identified in their future business scenarios. The interviewed companies were aware of the change pressure caused by digitalization, and especially the data exchange with other domain actors, predictions using data, new data-based services and data-based decision making were identified as key issues. However, currently there is a lack of digital infrastructure enabling the actors in the energy domain to perform data-based cooperation. The purpose of this paper is to identify the requirements for an energy data ecosystem that enables the companies in the energy domain to reach their business goals and to cooperate in data-based business. The initial goal is to identify the future tasks and goals of energy domain actors and define the type of cooperation environment, including knowledge management models and supporting services, required to support them. The research was implemented with industry actors in the energy domain that represent several different roles in energy markets, and the results of the research were also validated among the industry. INDEX TERMS Data ecosystem, data-based business, knowledge management models, energy domain, requirements specification.
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