Detailed Information on Publication Record
2019
Modelling Service Design and Complexity for Multi-contextual Applications in Smart Cities
WALLETZKÝ, Leonard, Luca CARUBBO and Mouzhi GEBasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Romania
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
electronic version available online
References:
RIV identification code
RIV/00216224:14330/19:00116359
Organization unit
Faculty of Informatics
ISBN
978-1-7281-0699-1
ISSN
UT WoS
000590181100018
Keywords in English
Smart City; Multicontextual Environment; Service Design
Tags
Tags
International impact, Reviewed
Změněno: 14/5/2021 07:07, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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.