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Capturing Smart Service Systems : Development of a Domain-specific Modeling Language

DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00004961
URN to cite this document: urn:nbn:de:bvb:703-epub-4961-4

Title data

Huber, Rocco ; Püschel, Louis ; Röglinger, Maximilian:
Capturing Smart Service Systems : Development of a Domain-specific Modeling Language.
In: Information Systems Journal. Vol. 29 (November 2019) Issue 6 . - pp. 1207-1255.
ISSN 1365-2575
DOI der Verlagsversion: https://doi.org/10.1111/isj.12269

Format:	PDF
Name:	isj.12269.pdf
Version:	Published Version
Available under License	Creative Commons BY-NC 4.0: Attribution, Noncommercial

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Project information

Project title:	Project's official title Project's id Projektgruppe WI IoT No information Projektgruppe WI Digitalisierung No information

Abstract

Over the last years, the nature of service has changed owing to conceptual advances and de-velopments in information technology. These developments have given rise to novel types of service and smart service systems (SSS), i.e. resource configurations capable of learning, dy-namic adaptation, and decision-making. Currently, the Internet of Things (IoT) is turning phys-ical objects into active smart things, bridging the gap between the physical and the digital world. Smart things advance SSS as they observe the physical environment, access local data, immerse into individuals’ everyday lives and organizational routines. In line with the emergent nature of both phenomena, the impact of the IoT on SSS yet needs to be explored. Building the basis for explanatory and design-led research and for the analysis and design of SSS, a means for the conceptual modeling of SSS that accounts for novel IoT-enabled concepts is in high need. Hence, we designed, demonstrated, and evaluated a domain-specific modeling language (DSML) for SSS. We evaluated the DSML by using it in the modeling of real-world scenarios from all functional IoT domains, by submitting it to the scrutiny of industry experts, by discuss-ing it against generic DSML requirements, and by analyzing to what extent it meets domain-specific design objectives compared to competing artifacts. To demonstrate the DSML, we in-cluded a complex real-world scenario centered around the Nest Learning Thermostat.

Further data

Item Type:	Article in a journal
Keywords:	Service Science; Smart Service Systems; Internet of Things; Domain-specific Modeling Language; Design Science Research
DDC Subjects:	000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics
Institutions of the University:	Faculties > Faculty of Law, Business and Economics > Department of Business Administration Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management > Chair Business Administration XVII - Information Systems and Value-Based Business Process Management - Univ.-Prof. Dr. Maximilian Röglinger Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Branch Business and Information Systems Engineering of Fraunhofer FIT Research Institutions > Affiliated Institutes > FIM Research Center for Information Management Faculties Faculties > Faculty of Law, Business and Economics
Language:	English
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-4961-4
Date Deposited:	24 Jul 2020 10:04
Last Modified:	24 Jul 2020 10:04
URI:	https://epub.uni-bayreuth.de/id/eprint/4961

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