With our publications we cover the most diverse research areas that arise in the field of man, task and technology. In addition to traditional Business Information Systems topics such as knowledge management and business process management, you will also find articles on current topics such as blended learning, cloud computing or smart grids. Use this overview to get an impression of the range and possibilities of research in Business Information Systems at the University of Duisburg-Essen.

UNDERSTANDING SERVICES IN THE ERA OF THE INTERNET OF THINGS: A SMART SERVICE TAXONOMY

Type of Publication: Article in Collected Edition

UNDERSTANDING SERVICES IN THE ERA OF THE INTERNET OF THINGS: A SMART SERVICE TAXONOMY

Author(s):
Paukstadt, Ute; Strobel, Gero; Eicker, Stefan
Editor:
Ais
Title of Anthology:
Proceedings of the 27th European Conference on Information Systems (ECIS)
Location(s):
Stockholm
Publication Date:
2019
ISBN:
978-1-7336325-0-8
Language:
Englisch
Keywords:
Smart Services, Intelligent Services, Taxonomy, Internet of Things, Smart Products
Link to complete version:
https://aisel.aisnet.org/ecis2019_rp/72/
Citation:
Download BibTeX

Abstract

In recent years, the “Internet of Things” with so called “smart products” has obtained increasingpopularity in both practice and research. By building on the capabilities of smart products, servicestransform to “smart services” emphasizing the value smart products can provide and how it is co- created. Even though first attempts have been conducted to conceptualize and classify smart services, there seems to be no overall consensus on the specific characteristics of smart services, which different forms they can take on and how different smart services can be described. For example, existing research on smart services does not always consider the common service design elements “servicecontent” and “service delivery”. To address this shortcoming, we develop a taxonomy of smart services by applying extant literature. We further demonstrate the usefulness of our taxonomy by classifying 50 empirical objects and presenting three cases. As a contribution, the paper enhances the understanding of the notion of smart services and strengthens the conceptual foundation for future smart service research.