---
_id: '4684'
abstract:
- lang: eng
text: Recent years have seen the emergence of physical products that are digitally
networked with other products and with information systems to enable complex business
scenarios in manufacturing, mobility, or healthcare. These “smart products”, which
enable the co-creation of “smart service” that is based on monitoring, optimization,
remote control, and autonomous adaptation of products, profoundly transform service
systems into what we call “smart service systems”. In a multi-method study that
includes conceptual research and qualitative data from in-depth interviews, we
conceptualize “smart service” and “smart service systems” based on using smart
products as boundary objects that integrate service consumers’ and service providers’
resources and activities. Smart products allow both actors to retrieve and to
analyze aggregated field evidence and to adapt service systems based on contextual
data. We discuss the implications that the introduction of smart service systems
have for foundational concepts of service science and conclude that smart service
systems are characterized by technology-mediated, continuous, and routinized interactions.
article_type: original
author:
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Martin
full_name: Matzner, Martin
last_name: Matzner
- first_name: Jan
full_name: Mendling, Jan
last_name: Mendling
- first_name: Jan
full_name: vom Brocke, Jan
last_name: vom Brocke
citation:
ama: Beverungen D, Müller O, Matzner M, Mendling J, vom Brocke J. Conceptualizing
smart service systems. Electronic Markets. 2019;29:7-18. doi:10.1007/s12525-017-0270-5
apa: Beverungen, D., Müller, O., Matzner, M., Mendling, J., & vom Brocke, J.
(2019). Conceptualizing smart service systems. Electronic Markets, 29,
7–18. https://doi.org/10.1007/s12525-017-0270-5
bibtex: '@article{Beverungen_Müller_Matzner_Mendling_vom Brocke_2019, title={Conceptualizing
smart service systems}, volume={29}, DOI={10.1007/s12525-017-0270-5},
journal={Electronic Markets}, publisher={SpringerNature}, author={Beverungen,
Daniel and Müller, Oliver and Matzner, Martin and Mendling, Jan and vom Brocke,
Jan}, year={2019}, pages={7–18} }'
chicago: 'Beverungen, Daniel, Oliver Müller, Martin Matzner, Jan Mendling, and Jan
vom Brocke. “Conceptualizing Smart Service Systems.” Electronic Markets
29 (2019): 7–18. https://doi.org/10.1007/s12525-017-0270-5.'
ieee: 'D. Beverungen, O. Müller, M. Matzner, J. Mendling, and J. vom Brocke, “Conceptualizing
smart service systems,” Electronic Markets, vol. 29, pp. 7–18, 2019, doi:
10.1007/s12525-017-0270-5.'
mla: Beverungen, Daniel, et al. “Conceptualizing Smart Service Systems.” Electronic
Markets, vol. 29, SpringerNature, 2019, pp. 7–18, doi:10.1007/s12525-017-0270-5.
short: D. Beverungen, O. Müller, M. Matzner, J. Mendling, J. vom Brocke, Electronic
Markets 29 (2019) 7–18.
date_created: 2018-10-12T08:24:45Z
date_updated: 2024-04-18T12:55:05Z
ddc:
- '380'
department:
- _id: '195'
doi: 10.1007/s12525-017-0270-5
file:
- access_level: closed
content_type: application/pdf
creator: dabe
date_created: 2024-04-18T12:53:07Z
date_updated: 2024-04-18T12:53:07Z
file_id: '53575'
file_name: Beverungen_et_al-Conceptualizing_Smart_Service_Systems.pdf
file_size: 599681
relation: main_file
success: 1
file_date_updated: 2024-04-18T12:53:07Z
has_accepted_license: '1'
intvolume: ' 29'
jel:
- L8
keyword:
- Boundary object
- Internet of things
- Service science
- Smart products
- Smart service
language:
- iso: eng
page: 7-18
project:
- _id: '1070'
call_identifier: MSCA-RISE-2014
grant_number: '645751'
name: 'RISE_BPM: Propelling Business Process Management by Research and Innovation
Staff Exchange'
publication: Electronic Markets
publication_identifier:
issn:
- '14228890'
publication_status: published
publisher: SpringerNature
quality_controlled: '1'
status: public
title: Conceptualizing smart service systems
type: journal_article
user_id: '59677'
volume: 29
year: '2019'
...
---
_id: '1156'
abstract:
- lang: eng
text: In this paper, we present an IoT architecture which handles stream sensor
data of air pollution. Particle pollution is known as a serious threat to human
health. Along with developments in the use of wireless sensors and the IoT, we
propose an architecture that flexibly measures and processes stream data collected
in real-time by movable and low-cost IoT sensors. Thus, it enables a wide-spread
network of wireless sensors that can follow changes in human behavior. Apart from
stating reasons for the need of such a development and its requirements, we provide
a conceptual design as well as a technological design of such an architecture.
The technological design consists of Kaa and Apache Storm which can collect air
pollution information in real-time and solve various problems to process data
such as missing data and synchronization. This enables us to add a simulation
in which we provide issues that might come up when having our architecture in
use. Together with these issues, we state r easons for choosing specific modules
among candidates. Our architecture combines wireless sensors with the Kaa IoT
framework, an Apache Kafka pipeline and an Apache Storm Data Stream Management
System among others. We even provide open-government data sets that are freely
available.
author:
- first_name: Joschka
full_name: Kersting, Joschka
id: '58701'
last_name: Kersting
- first_name: Michaela
full_name: Geierhos, Michaela
id: '42496'
last_name: Geierhos
orcid: 0000-0002-8180-5606
- first_name: Hanmin
full_name: Jung, Hanmin
last_name: Jung
- first_name: Taehong
full_name: Kim, Taehong
last_name: Kim
citation:
ama: 'Kersting J, Geierhos M, Jung H, Kim T. Internet of Things Architecture for
Handling Stream Air Pollution Data. In: Ramachandran M, Méndez Muñoz V, Kantere
V, Wills G, Walters R, Chang V, eds. Proceedings of the 2nd International Conference
on Internet of Things, Big Data and Security. Setúbal, Portugal: SCITEPRESS;
2017:117-124. doi:10.5220/0006354801170124'
apa: 'Kersting, J., Geierhos, M., Jung, H., & Kim, T. (2017). Internet of Things
Architecture for Handling Stream Air Pollution Data. In M. Ramachandran, V. Méndez
Muñoz, V. Kantere, G. Wills, R. Walters, & V. Chang (Eds.), Proceedings
of the 2nd International Conference on Internet of Things, Big Data and Security
(pp. 117–124). Setúbal, Portugal: SCITEPRESS. https://doi.org/10.5220/0006354801170124'
bibtex: '@inproceedings{Kersting_Geierhos_Jung_Kim_2017, place={Setúbal, Portugal},
title={Internet of Things Architecture for Handling Stream Air Pollution Data},
DOI={10.5220/0006354801170124},
booktitle={Proceedings of the 2nd International Conference on Internet of Things,
Big Data and Security}, publisher={SCITEPRESS}, author={Kersting, Joschka and
Geierhos, Michaela and Jung, Hanmin and Kim, Taehong}, editor={Ramachandran, Muthu
and Méndez Muñoz, Víctor and Kantere, Verena and Wills, Gary and Walters, Robert
and Chang, VictorEditors}, year={2017}, pages={117–124} }'
chicago: 'Kersting, Joschka, Michaela Geierhos, Hanmin Jung, and Taehong Kim. “Internet
of Things Architecture for Handling Stream Air Pollution Data.” In Proceedings
of the 2nd International Conference on Internet of Things, Big Data and Security,
edited by Muthu Ramachandran, Víctor Méndez Muñoz, Verena Kantere, Gary Wills,
Robert Walters, and Victor Chang, 117–24. Setúbal, Portugal: SCITEPRESS, 2017.
https://doi.org/10.5220/0006354801170124.'
ieee: J. Kersting, M. Geierhos, H. Jung, and T. Kim, “Internet of Things Architecture
for Handling Stream Air Pollution Data,” in Proceedings of the 2nd International
Conference on Internet of Things, Big Data and Security, Porto, Portugal,
2017, pp. 117–124.
mla: Kersting, Joschka, et al. “Internet of Things Architecture for Handling Stream
Air Pollution Data.” Proceedings of the 2nd International Conference on Internet
of Things, Big Data and Security, edited by Muthu Ramachandran et al., SCITEPRESS,
2017, pp. 117–24, doi:10.5220/0006354801170124.
short: 'J. Kersting, M. Geierhos, H. Jung, T. Kim, in: M. Ramachandran, V. Méndez
Muñoz, V. Kantere, G. Wills, R. Walters, V. Chang (Eds.), Proceedings of the 2nd
International Conference on Internet of Things, Big Data and Security, SCITEPRESS,
Setúbal, Portugal, 2017, pp. 117–124.'
conference:
end_date: 2017-04-26
location: Porto, Portugal
name: 2nd International Conference on Internet of Things, Big Data and Security
(IoTBDS 2017)
start_date: 2017-04-24
date_created: 2018-01-31T14:45:21Z
date_updated: 2022-01-06T06:51:03Z
ddc:
- '000'
department:
- _id: '36'
- _id: '1'
- _id: '579'
doi: 10.5220/0006354801170124
editor:
- first_name: Muthu
full_name: Ramachandran, Muthu
last_name: Ramachandran
- first_name: Víctor
full_name: Méndez Muñoz, Víctor
last_name: Méndez Muñoz
- first_name: Verena
full_name: Kantere, Verena
last_name: Kantere
- first_name: Gary
full_name: Wills, Gary
last_name: Wills
- first_name: Robert
full_name: Walters, Robert
last_name: Walters
- first_name: Victor
full_name: Chang, Victor
last_name: Chang
file:
- access_level: closed
content_type: application/pdf
creator: jkers
date_created: 2020-09-18T09:09:27Z
date_updated: 2020-09-18T09:09:27Z
file_id: '19567'
file_name: IoTBDS_2017_50_final.pdf
file_size: 2612566
relation: main_file
success: 1
file_date_updated: 2020-09-18T09:09:27Z
has_accepted_license: '1'
keyword:
- Wireless Sensor Network
- Internet of Things
- Stream Data
- Air Pollution
- DSMS
- Real-time Data Processing
language:
- iso: eng
page: 117-124
place: Setúbal, Portugal
publication: Proceedings of the 2nd International Conference on Internet of Things,
Big Data and Security
publication_identifier:
isbn:
- 978-989-758-245-5
publication_status: published
publisher: SCITEPRESS
quality_controlled: '1'
status: public
title: Internet of Things Architecture for Handling Stream Air Pollution Data
type: conference
user_id: '58701'
year: '2017'
...