WALLETZKÝ, Leonard, Luca CARUBBO and Mouzhi GE. Modelling Service Design and Complexity for Multi-contextual Applications in Smart Cities. In 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC). Sinaia, Romania: IEEE, 2019. p. 101-106. ISBN 978-1-7281-0699-1. doi:10.1109/ICSTCC.2019.8885800.
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Basic information
Original name Modelling Service Design and Complexity for Multi-contextual Applications in Smart Cities
Authors WALLETZKÝ, Leonard (203 Czech Republic, guarantor, belonging to the institution), Luca CARUBBO (380 Italy) and Mouzhi GE (156 China, belonging to the institution).
Edition Sinaia, Romania, 2019 23rd International Conference on System Theory, Control and Computing (ICSTCC), p. 101-106, 6 pp. 2019.
Publisher IEEE
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Romania
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/19:00116359
Organization unit Faculty of Informatics
ISBN 978-1-7281-0699-1
ISSN 2372-1618
Doi http://dx.doi.org/10.1109/ICSTCC.2019.8885800
UT WoS 000590181100018
Keywords in English Smart City; Multicontextual Environment; Service Design
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 14/5/2021 07:07.
Abstract
The paper aims to model and analyse the way how complex services can be designed. The main issue of the complex service design is that stakeholders act within different contexts, because most cases are with more than one value proposition chains of services. The design of such complex services cannot be in isolation from other services in the entire service ecosystem. Therefore, this paper proposes a model to show how the service can be decomposed to atomic elements and how they can be used to design service with a better value proposition for service receivers. One of the most important roles in service modelling is the agent, which can be the provider, collaborator, or receiver of the service. The way how individual agents and teams are organized in the value proposition chain is a key factor for increasing service efficiency. Thus, the agents are usually distributed in different teams, serving for different services in different contexts. However, all those actions can be related, and mostly the relations are affecting the behaviour of agents in different environments. The paper is therefore to address how to describe the role of each agent in a specific context and connect it with the other contexts in service design. In order to validate the model, this paper demonstrates how to model the services in the smart mobility applications.
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