---
_id: '65105'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Philipp
full_name: Hansmeier, Philipp
id: '55603'
last_name: Hansmeier
- first_name: Christian
full_name: Vorbohle, Christian
id: '29951'
last_name: Vorbohle
- first_name: Maike
full_name: Althaus, Maike
id: '61896'
last_name: Althaus
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: zur Heiden P, Halimeh H, Hansmeier P, et al. Data Spaces for Heterogeneous
Data Ecosystems – Findings from a Design Study in the Cultural Sector. Communications
of the Association for Information Systems.
apa: zur Heiden, P., Halimeh, H., Hansmeier, P., Vorbohle, C., Althaus, M., Beverungen,
D., Kundisch, D., & Müller, O. (n.d.). Data Spaces for Heterogeneous Data
Ecosystems – Findings from a Design Study in the Cultural Sector. Communications
of the Association for Information Systems.
bibtex: '@article{zur Heiden_Halimeh_Hansmeier_Vorbohle_Althaus_Beverungen_Kundisch_Müller,
title={Data Spaces for Heterogeneous Data Ecosystems – Findings from a Design
Study in the Cultural Sector}, journal={Communications of the Association for
Information Systems}, author={zur Heiden, Philipp and Halimeh, Haya and Hansmeier,
Philipp and Vorbohle, Christian and Althaus, Maike and Beverungen, Daniel and
Kundisch, Dennis and Müller, Oliver} }'
chicago: Heiden, Philipp zur, Haya Halimeh, Philipp Hansmeier, Christian Vorbohle,
Maike Althaus, Daniel Beverungen, Dennis Kundisch, and Oliver Müller. “Data Spaces
for Heterogeneous Data Ecosystems – Findings from a Design Study in the Cultural
Sector.” Communications of the Association for Information Systems, n.d.
ieee: P. zur Heiden et al., “Data Spaces for Heterogeneous Data Ecosystems
– Findings from a Design Study in the Cultural Sector,” Communications of the
Association for Information Systems.
mla: zur Heiden, Philipp, et al. “Data Spaces for Heterogeneous Data Ecosystems
– Findings from a Design Study in the Cultural Sector.” Communications of the
Association for Information Systems.
short: P. zur Heiden, H. Halimeh, P. Hansmeier, C. Vorbohle, M. Althaus, D. Beverungen,
D. Kundisch, O. Müller, Communications of the Association for Information Systems
(n.d.).
date_created: 2026-03-24T13:31:24Z
date_updated: 2026-03-27T08:24:49Z
department:
- _id: '276'
- _id: '526'
- _id: '196'
language:
- iso: eng
project:
- _id: '160'
name: 'DatenraumKultur: Use Case 1 - Kulturplattformen - Datenraum Kultur'
publication: Communications of the Association for Information Systems
publication_status: accepted
status: public
title: Data Spaces for Heterogeneous Data Ecosystems – Findings from a Design Study
in the Cultural Sector
type: journal_article
user_id: '16205'
year: '2026'
...
---
_id: '64863'
abstract:
- lang: eng
text: 'Traditional dyadic customer-provider interactions are being shifted to polyadic
interactions involving diverse participants in digital service ecosystems. Especially,
artificial intelligence (AI) is increasingly integrated into these ecosystems,
so that they comprise non-human participants (e.g., AI-based chatbots)—fundamentally
altering the nature of value (co-)creation. While existing literature examines
human-to-human interactions, knowledge of service interactions between human actors
and AI-based systems is still underexplored. To address this research gap, we
develop a taxonomy, comprising six iterations, that explores the peculiarities
of AI as either a resource or a (non-human) agent in digital service ecosystems.
We evaluate our taxonomy using a multiple case study and derive the four archetypes
of AI in digital service ecosystems: (1) discriminative experience enhancer, (2)
protective ecosystem orchestrator, (3) ecosystem innovation companion, and (4)
personalized service composer. Our results extend the knowledge on service science
by showing how AI-based systems—discriminative or generative, and focusing on
the interaction in the ecosystem or the individual service encounter—assume the
role of resources and non-human agents. Researchers and practitioners can utilize
our results to augment their ecosystems with AI.'
article_number: '22'
author:
- first_name: Philipp
full_name: Hansmeier, Philipp
id: '55603'
last_name: Hansmeier
- first_name: Jannika Marie
full_name: Schäfer, Jannika Marie
id: '74374'
last_name: Schäfer
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
citation:
ama: Hansmeier P, Schäfer JM, zur Heiden P. Artificial intelligence in digital service
ecosystems—Towards a taxonomy and archetypes. Electronic Markets. 2026;36(1).
doi:10.1007/s12525-026-00879-y
apa: Hansmeier, P., Schäfer, J. M., & zur Heiden, P. (2026). Artificial intelligence
in digital service ecosystems—Towards a taxonomy and archetypes. Electronic
Markets, 36(1), Article 22. https://doi.org/10.1007/s12525-026-00879-y
bibtex: '@article{Hansmeier_Schäfer_zur Heiden_2026, title={Artificial intelligence
in digital service ecosystems—Towards a taxonomy and archetypes}, volume={36},
DOI={10.1007/s12525-026-00879-y},
number={122}, journal={Electronic Markets}, publisher={Springer Science and Business
Media LLC}, author={Hansmeier, Philipp and Schäfer, Jannika Marie and zur Heiden,
Philipp}, year={2026} }'
chicago: Hansmeier, Philipp, Jannika Marie Schäfer, and Philipp zur Heiden. “Artificial
Intelligence in Digital Service Ecosystems—Towards a Taxonomy and Archetypes.”
Electronic Markets 36, no. 1 (2026). https://doi.org/10.1007/s12525-026-00879-y.
ieee: 'P. Hansmeier, J. M. Schäfer, and P. zur Heiden, “Artificial intelligence
in digital service ecosystems—Towards a taxonomy and archetypes,” Electronic
Markets, vol. 36, no. 1, Art. no. 22, 2026, doi: 10.1007/s12525-026-00879-y.'
mla: Hansmeier, Philipp, et al. “Artificial Intelligence in Digital Service Ecosystems—Towards
a Taxonomy and Archetypes.” Electronic Markets, vol. 36, no. 1, 22, Springer
Science and Business Media LLC, 2026, doi:10.1007/s12525-026-00879-y.
short: P. Hansmeier, J.M. Schäfer, P. zur Heiden, Electronic Markets 36 (2026).
date_created: 2026-03-07T12:45:48Z
date_updated: 2026-03-28T12:53:22Z
doi: 10.1007/s12525-026-00879-y
intvolume: ' 36'
issue: '1'
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/article/10.1007/s12525-026-00879-y
publication: Electronic Markets
publication_identifier:
issn:
- 1019-6781
- 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Artificial intelligence in digital service ecosystems—Towards a taxonomy and
archetypes
type: journal_article
user_id: '55603'
volume: 36
year: '2026'
...
---
_id: '60017'
article_type: original
author:
- first_name: Alexander Marcus
full_name: Skolik, Alexander Marcus
id: '92908'
last_name: Skolik
orcid: 0009-0006-2519-1765
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Johannes Aurelius Tamino
full_name: Donner, Johannes Aurelius Tamino
id: '72054'
last_name: Donner
orcid: 0009-0007-4757-4393
- first_name: Jennifer
full_name: Priefer, Jennifer
id: '82872'
last_name: Priefer
citation:
ama: 'Skolik AM, zur Heiden P, Donner JAT, Priefer J. Igniting Knowledge Management
for Assistance Systems in Maintenance: A Method for Knowledge Gathering. ECIS
2025 Proceedings. 2.'
apa: 'Skolik, A. M., zur Heiden, P., Donner, J. A. T., & Priefer, J. (n.d.).
Igniting Knowledge Management for Assistance Systems in Maintenance: A Method
for Knowledge Gathering. ECIS 2025 Proceedings, 2.'
bibtex: '@article{Skolik_zur Heiden_Donner_Priefer, title={Igniting Knowledge Management
for Assistance Systems in Maintenance: A Method for Knowledge Gathering}, volume={2},
journal={ECIS 2025 Proceedings}, author={Skolik, Alexander Marcus and zur Heiden,
Philipp and Donner, Johannes Aurelius Tamino and Priefer, Jennifer} }'
chicago: 'Skolik, Alexander Marcus, Philipp zur Heiden, Johannes Aurelius Tamino
Donner, and Jennifer Priefer. “Igniting Knowledge Management for Assistance Systems
in Maintenance: A Method for Knowledge Gathering.” ECIS 2025 Proceedings
2 (n.d.).'
ieee: 'A. M. Skolik, P. zur Heiden, J. A. T. Donner, and J. Priefer, “Igniting Knowledge
Management for Assistance Systems in Maintenance: A Method for Knowledge Gathering,”
ECIS 2025 Proceedings, vol. 2.'
mla: 'Skolik, Alexander Marcus, et al. “Igniting Knowledge Management for Assistance
Systems in Maintenance: A Method for Knowledge Gathering.” ECIS 2025 Proceedings,
vol. 2.'
short: A.M. Skolik, P. zur Heiden, J.A.T. Donner, J. Priefer, ECIS 2025 Proceedings
2 (n.d.).
conference:
location: Amman, Jordan
name: Thirty-Third European Conference on Information Systems (ECIS 2025)
date_created: 2025-05-22T09:17:51Z
date_updated: 2026-01-29T15:27:30Z
ddc:
- '006'
department:
- _id: '876'
- _id: '321'
- _id: '526'
- _id: '534'
file:
- access_level: open_access
content_type: application/pdf
creator: askolik
date_created: 2026-01-15T15:21:39Z
date_updated: 2026-01-29T15:27:29Z
file_id: '63634'
file_name: Igniting Knowledge Management for Assistance Systems in Maintenance.pdf
file_size: 721701
relation: main_file
file_date_updated: 2026-01-29T15:27:29Z
has_accepted_license: '1'
intvolume: ' 2'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/ecis2025/ent_system/ent_system/2/
oa: '1'
publication: ECIS 2025 Proceedings
publication_status: accepted
quality_controlled: '1'
status: public
title: 'Igniting Knowledge Management for Assistance Systems in Maintenance: A Method
for Knowledge Gathering'
type: journal_article
user_id: '92908'
volume: 2
year: '2025'
...
---
_id: '61378'
author:
- first_name: Philipp
full_name: Hansmeier, Philipp
id: '55603'
last_name: Hansmeier
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'Hansmeier P, zur Heiden P, Beverungen D. Service Innovation through Data Ecosystems
– Designing a Recombinant Method. In: Proceedings of the 20th International
Conference on Wirtschaftsinformatik (WI25). ; 2025.'
apa: Hansmeier, P., zur Heiden, P., & Beverungen, D. (2025). Service Innovation
through Data Ecosystems – Designing a Recombinant Method. Proceedings of the
20th International Conference on Wirtschaftsinformatik (WI25).
bibtex: '@inproceedings{Hansmeier_zur Heiden_Beverungen_2025, title={Service Innovation
through Data Ecosystems – Designing a Recombinant Method}, booktitle={Proceedings
of the 20th International Conference on Wirtschaftsinformatik (WI25)}, author={Hansmeier,
Philipp and zur Heiden, Philipp and Beverungen, Daniel}, year={2025} }'
chicago: Hansmeier, Philipp, Philipp zur Heiden, and Daniel Beverungen. “Service
Innovation through Data Ecosystems – Designing a Recombinant Method.” In Proceedings
of the 20th International Conference on Wirtschaftsinformatik (WI25), 2025.
ieee: P. Hansmeier, P. zur Heiden, and D. Beverungen, “Service Innovation through
Data Ecosystems – Designing a Recombinant Method,” 2025.
mla: Hansmeier, Philipp, et al. “Service Innovation through Data Ecosystems – Designing
a Recombinant Method.” Proceedings of the 20th International Conference on
Wirtschaftsinformatik (WI25), 2025.
short: 'P. Hansmeier, P. zur Heiden, D. Beverungen, in: Proceedings of the 20th
International Conference on Wirtschaftsinformatik (WI25), 2025.'
date_created: 2025-09-19T09:13:04Z
date_updated: 2025-12-04T12:05:38Z
jel:
- L86
language:
- iso: eng
publication: Proceedings of the 20th International Conference on Wirtschaftsinformatik
(WI25)
quality_controlled: '1'
status: public
title: Service Innovation through Data Ecosystems – Designing a Recombinant Method
type: conference
user_id: '55603'
year: '2025'
...
---
_id: '63523'
abstract:
- lang: eng
text: 'Data spaces have become a strategic pillar of Europe''s digital agenda, enabling
sovereign, legally compliant data sharing within decentralized ecosystems. As
data space initiatives evolve, personalized recommendations are increasingly recognized
as key use cases. However, traditional recommendation approaches typically rely
on centralized aggregation of user behavior data-directly conflicting with the
core ethos of data spaces: sovereignty, privacy, and trust. Federated recommendation
systems offer a promising alternative by training models locally and exchanging
only intermediate parameters to build a global model. Despite this potential,
the integration of federated recommendation techniques and data space architectures
remains largely underexplored in research and practice. This paper addresses this
gap by designing and evaluating a prototype of a federated recommendation system
specifically tailored for data spaces and compliant with their underlying infrastructure.
Our findings highlight the viability of developing privacy-preserving, collaborative
recommendation systems within data spaces, and contribute to the broader adoption
of AI across these emerging ecosystems.'
author:
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
citation:
ama: 'Halimeh H, zur Heiden P. Preserving Sovereignty and Privacy for Personalization:
Designing a Federated Recommendation System for Data Spaces. In: 2025 27th
International Conference on Business Informatics (CBI). IEEE; 2025. doi:10.1109/cbi68102.2025.00019'
apa: 'Halimeh, H., & zur Heiden, P. (2025). Preserving Sovereignty and Privacy
for Personalization: Designing a Federated Recommendation System for Data Spaces.
2025 27th International Conference on Business Informatics (CBI). https://doi.org/10.1109/cbi68102.2025.00019'
bibtex: '@inproceedings{Halimeh_zur Heiden_2025, title={Preserving Sovereignty and
Privacy for Personalization: Designing a Federated Recommendation System for Data
Spaces}, DOI={10.1109/cbi68102.2025.00019},
booktitle={2025 27th International Conference on Business Informatics (CBI)},
publisher={IEEE}, author={Halimeh, Haya and zur Heiden, Philipp}, year={2025}
}'
chicago: 'Halimeh, Haya, and Philipp zur Heiden. “Preserving Sovereignty and Privacy
for Personalization: Designing a Federated Recommendation System for Data Spaces.”
In 2025 27th International Conference on Business Informatics (CBI). IEEE,
2025. https://doi.org/10.1109/cbi68102.2025.00019.'
ieee: 'H. Halimeh and P. zur Heiden, “Preserving Sovereignty and Privacy for Personalization:
Designing a Federated Recommendation System for Data Spaces,” 2025, doi: 10.1109/cbi68102.2025.00019.'
mla: 'Halimeh, Haya, and Philipp zur Heiden. “Preserving Sovereignty and Privacy
for Personalization: Designing a Federated Recommendation System for Data Spaces.”
2025 27th International Conference on Business Informatics (CBI), IEEE,
2025, doi:10.1109/cbi68102.2025.00019.'
short: 'H. Halimeh, P. zur Heiden, in: 2025 27th International Conference on Business
Informatics (CBI), IEEE, 2025.'
date_created: 2026-01-07T13:34:02Z
date_updated: 2026-01-07T13:49:45Z
department:
- _id: '195'
- _id: '196'
doi: 10.1109/cbi68102.2025.00019
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
publication: 2025 27th International Conference on Business Informatics (CBI)
publication_status: published
publisher: IEEE
status: public
title: 'Preserving Sovereignty and Privacy for Personalization: Designing a Federated
Recommendation System for Data Spaces'
type: conference
user_id: '87673'
year: '2025'
...
---
_id: '63026'
author:
- first_name: Maike
full_name: Althaus, Maike
id: '61896'
last_name: Althaus
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Beate
full_name: Flath, Beate
id: '58896'
last_name: Flath
orcid: https://orcid.org/0000-0002-1648-0796
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Philipp
full_name: Hansmeier, Philipp
id: '55603'
last_name: Hansmeier
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Michelle
full_name: Müller, Michelle
id: '50286'
last_name: Müller
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Simon
full_name: Oberthür, Simon
id: '383'
last_name: Oberthür
- first_name: Christian
full_name: Vorbohle, Christian
id: '29951'
last_name: Vorbohle
- first_name: Maryam
full_name: Momen Pour Tafreshi, Maryam
last_name: Momen Pour Tafreshi
- first_name: Sebastian
full_name: Mauß, Sebastian
last_name: Mauß
- first_name: Alina
full_name: Mücke, Alina
last_name: Mücke
- first_name: Jörg
full_name: Müller, Jörg
last_name: Müller
- first_name: Malte
full_name: Peter, Malte
last_name: Peter
- first_name: Ariane
full_name: Schmitt-Chandon, Ariane
last_name: Schmitt-Chandon
- first_name: Kerstin
full_name: Sellerberg, Kerstin
last_name: Sellerberg
- first_name: Moritz
full_name: Steinhäuser, Moritz
last_name: Steinhäuser
citation:
ama: 'Althaus M, Beverungen D, Flath B, et al. Positionspapier Use Case 1: Vernetzte
Kulturplattformen.; 2025.'
apa: 'Althaus, M., Beverungen, D., Flath, B., Halimeh, H., Hansmeier, P., zur Heiden,
P., Kundisch, D., Müller, M., Müller, O., Oberthür, S., Vorbohle, C., Momen Pour
Tafreshi, M., Mauß, S., Mücke, A., Müller, J., Peter, M., Schmitt-Chandon, A.,
Sellerberg, K., & Steinhäuser, M. (2025). Positionspapier Use Case 1: Vernetzte
Kulturplattformen.'
bibtex: '@book{Althaus_Beverungen_Flath_Halimeh_Hansmeier_zur Heiden_Kundisch_Müller_Müller_Oberthür_et
al._2025, place={Universität Paderborn, SICP}, title={Positionspapier Use Case
1: Vernetzte Kulturplattformen}, author={Althaus, Maike and Beverungen, Daniel
and Flath, Beate and Halimeh, Haya and Hansmeier, Philipp and zur Heiden, Philipp
and Kundisch, Dennis and Müller, Michelle and Müller, Oliver and Oberthür, Simon
and et al.}, year={2025} }'
chicago: 'Althaus, Maike, Daniel Beverungen, Beate Flath, Haya Halimeh, Philipp
Hansmeier, Philipp zur Heiden, Dennis Kundisch, et al. Positionspapier Use
Case 1: Vernetzte Kulturplattformen. Universität Paderborn, SICP, 2025.'
ieee: 'M. Althaus et al., Positionspapier Use Case 1: Vernetzte Kulturplattformen.
Universität Paderborn, SICP, 2025.'
mla: 'Althaus, Maike, et al. Positionspapier Use Case 1: Vernetzte Kulturplattformen.
2025.'
short: 'M. Althaus, D. Beverungen, B. Flath, H. Halimeh, P. Hansmeier, P. zur Heiden,
D. Kundisch, M. Müller, O. Müller, S. Oberthür, C. Vorbohle, M. Momen Pour Tafreshi,
S. Mauß, A. Mücke, J. Müller, M. Peter, A. Schmitt-Chandon, K. Sellerberg, M.
Steinhäuser, Positionspapier Use Case 1: Vernetzte Kulturplattformen, Universität
Paderborn, SICP, 2025.'
date_created: 2025-12-10T15:50:35Z
date_updated: 2026-01-07T13:41:32Z
department:
- _id: '276'
- _id: '526'
- _id: '196'
- _id: '735'
language:
- iso: ger
place: Universität Paderborn, SICP
project:
- _id: '160'
name: 'DatenraumKultur: Use Case 1 - Kulturplattformen - Datenraum Kultur'
publication_status: published
status: public
title: 'Positionspapier Use Case 1: Vernetzte Kulturplattformen'
type: working_paper
user_id: '87673'
year: '2025'
...
---
_id: '54446'
abstract:
- lang: eng
text: 'ZusammenfassungVerteilnetzbetreiber in Deutschland
stehen vor großen Herausforderungen bei dem Management ihres unternehmensspezifischen
Wissens: Mitarbeiterengpässe durch den demographischen Wandel, Wissen ist nur
implizit vorhanden und nicht in Wissensmanagementsystemen digitalisiert, teilweise
gibt es gar keine Wissensmanagementsysteme oder Konzepte und das Verteilnetz wird
immer komplexer. Verbunden mit zunehmender Belastung von zentralen Komponenten
im Verteilnetz durch die Energiewende bedarf es neuer Lösungen, besonders für
die wissensintensiven Wartungs- und Instandhaltungsprozesse. Generative Artificial
Intelligence als aufstrebende Technologie, insb. durch Large Language Models,
zeigt hier erste Erfolge für die Anleitung, Entscheidungsunterstützung und den
Wissenstransfer. Aufbauend auf dem Design Science Research Forschungsparadigma
wird in diesem Beitrag ein ganzheitlicher Ansatz des Wissensmanagements konzipiert,
welcher als zentrale Komponente auf einem Assistenzsystem basiert. Ein Large Language
Model generiert Hilfestellungen für Netzmonteure während der Wartung und Instandhaltung
auf Basis von Anleitungen. Neben der Konzeption zeigt dieser Beitrag auch die
erarbeitete Strategie zur Demonstration und zukünftigen Evaluation der Ergebnisse.
Der Beitrag liefert ein für Verteilnetzbetreiber neuartiges Konzept Large Language
Model basierter Assistenzsysteme zum Wissensmanagement und zeigt zudem nachgelagerte
Schritte auf, die vor einer Markteinführung notwendig sind.'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Sascha Benjamin
full_name: Kaltenpoth, Sascha Benjamin
id: '50640'
last_name: Kaltenpoth
citation:
ama: zur Heiden P, Kaltenpoth SB. Knowledge Management for Service and Maintenance
on the Distribution Grid—Conceptualizing an Assistance System based on a Large
Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz –
Konzeption eines Assistenzsystems basierend auf einem Large Language Model. HMD
Praxis der Wirtschaftsinformatik. Published online 2024. doi:10.1365/s40702-024-01074-3
apa: zur Heiden, P., & Kaltenpoth, S. B. (2024). Knowledge Management for Service
and Maintenance on the Distribution Grid—Conceptualizing an Assistance System
based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model. HMD Praxis der Wirtschaftsinformatik. https://doi.org/10.1365/s40702-024-01074-3
bibtex: '@article{zur Heiden_Kaltenpoth_2024, title={Knowledge Management for Service
and Maintenance on the Distribution Grid—Conceptualizing an Assistance System
based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model}, DOI={10.1365/s40702-024-01074-3},
journal={HMD Praxis der Wirtschaftsinformatik}, publisher={Springer Fachmedien
Wiesbaden GmbH}, author={zur Heiden, Philipp and Kaltenpoth, Sascha Benjamin},
year={2024} }'
chicago: Heiden, Philipp zur, and Sascha Benjamin Kaltenpoth. “Knowledge Management
for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance
System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model.” HMD Praxis der Wirtschaftsinformatik, 2024. https://doi.org/10.1365/s40702-024-01074-3.
ieee: 'P. zur Heiden and S. B. Kaltenpoth, “Knowledge Management for Service and
Maintenance on the Distribution Grid—Conceptualizing an Assistance System based
on a Large Language Model Wissensmanagement für Wartung und Instandhaltung im
Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model,” HMD Praxis der Wirtschaftsinformatik, 2024, doi: 10.1365/s40702-024-01074-3.'
mla: zur Heiden, Philipp, and Sascha Benjamin Kaltenpoth. “Knowledge Management
for Service and Maintenance on the Distribution Grid—Conceptualizing an Assistance
System based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model.” HMD Praxis der Wirtschaftsinformatik, Springer Fachmedien Wiesbaden
GmbH, 2024, doi:10.1365/s40702-024-01074-3.
short: P. zur Heiden, S.B. Kaltenpoth, HMD Praxis der Wirtschaftsinformatik (2024).
date_created: 2024-05-24T13:36:55Z
date_updated: 2024-08-16T11:05:12Z
doi: 10.1365/s40702-024-01074-3
language:
- iso: ger
publication: HMD Praxis der Wirtschaftsinformatik
publication_identifier:
issn:
- 1436-3011
- 2198-2775
publication_status: published
publisher: Springer Fachmedien Wiesbaden GmbH
status: public
title: Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing
an Assistance System based on a Large Language Model Wissensmanagement für Wartung
und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend
auf einem Large Language Model
type: journal_article
user_id: '64394'
year: '2024'
...
---
_id: '55500'
author:
- first_name: Ralf
full_name: Gitzel, Ralf
last_name: Gitzel
- first_name: Martin
full_name: Hoffmann, Martin
last_name: Hoffmann
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Alexander Marcus
full_name: Skolik, Alexander Marcus
id: '92908'
last_name: Skolik
orcid: 0009-0006-2519-1765
- first_name: Sascha Benjamin
full_name: Kaltenpoth, Sascha Benjamin
id: '50640'
last_name: Kaltenpoth
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Cansu
full_name: Kanak, Cansu
last_name: Kanak
- first_name: Kajan
full_name: Kandiah, Kajan
last_name: Kandiah
- first_name: Max-Ferdinand
full_name: Stroh, Max-Ferdinand
last_name: Stroh
- first_name: Wolfgang
full_name: Boos, Wolfgang
last_name: Boos
- first_name: Maurizio
full_name: Zajadatz, Maurizio
last_name: Zajadatz
- first_name: Michael
full_name: Suriyah, Michael
last_name: Suriyah
- first_name: Thomas
full_name: Leibfried, Thomas
last_name: Leibfried
- first_name: Dhruv Suresh
full_name: Singhal, Dhruv Suresh
last_name: Singhal
- first_name: Moritz
full_name: Bürger, Moritz
last_name: Bürger
- first_name: Dennis
full_name: Hunting, Dennis
last_name: Hunting
- first_name: Alexander
full_name: Rehmer, Alexander
last_name: Rehmer
- first_name: Aydin
full_name: Boyaci, Aydin
last_name: Boyaci
citation:
ama: Gitzel R, Hoffmann M, zur Heiden P, et al. Towards Cognitive Assistance and
Prognosis Systems in Power Distribution Grids – Open Issues, Suitable Technologies,
and Implementation Concepts. IEEE Access. Published online 2024:1-1. doi:10.1109/access.2024.3437195
apa: Gitzel, R., Hoffmann, M., zur Heiden, P., Skolik, A. M., Kaltenpoth, S. B.,
Müller, O., Kanak, C., Kandiah, K., Stroh, M.-F., Boos, W., Zajadatz, M., Suriyah,
M., Leibfried, T., Singhal, D. S., Bürger, M., Hunting, D., Rehmer, A., &
Boyaci, A. (2024). Towards Cognitive Assistance and Prognosis Systems in Power
Distribution Grids – Open Issues, Suitable Technologies, and Implementation Concepts.
IEEE Access, 1–1. https://doi.org/10.1109/access.2024.3437195
bibtex: '@article{Gitzel_Hoffmann_zur Heiden_Skolik_Kaltenpoth_Müller_Kanak_Kandiah_Stroh_Boos_et
al._2024, title={Towards Cognitive Assistance and Prognosis Systems in Power Distribution
Grids – Open Issues, Suitable Technologies, and Implementation Concepts}, DOI={10.1109/access.2024.3437195},
journal={IEEE Access}, publisher={Institute of Electrical and Electronics Engineers
(IEEE)}, author={Gitzel, Ralf and Hoffmann, Martin and zur Heiden, Philipp and
Skolik, Alexander Marcus and Kaltenpoth, Sascha Benjamin and Müller, Oliver and
Kanak, Cansu and Kandiah, Kajan and Stroh, Max-Ferdinand and Boos, Wolfgang and
et al.}, year={2024}, pages={1–1} }'
chicago: Gitzel, Ralf, Martin Hoffmann, Philipp zur Heiden, Alexander Marcus Skolik,
Sascha Benjamin Kaltenpoth, Oliver Müller, Cansu Kanak, et al. “Towards Cognitive
Assistance and Prognosis Systems in Power Distribution Grids – Open Issues, Suitable
Technologies, and Implementation Concepts.” IEEE Access, 2024, 1–1. https://doi.org/10.1109/access.2024.3437195.
ieee: 'R. Gitzel et al., “Towards Cognitive Assistance and Prognosis Systems
in Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation
Concepts,” IEEE Access, pp. 1–1, 2024, doi: 10.1109/access.2024.3437195.'
mla: Gitzel, Ralf, et al. “Towards Cognitive Assistance and Prognosis Systems in
Power Distribution Grids – Open Issues, Suitable Technologies, and Implementation
Concepts.” IEEE Access, Institute of Electrical and Electronics Engineers
(IEEE), 2024, pp. 1–1, doi:10.1109/access.2024.3437195.
short: R. Gitzel, M. Hoffmann, P. zur Heiden, A.M. Skolik, S.B. Kaltenpoth, O. Müller,
C. Kanak, K. Kandiah, M.-F. Stroh, W. Boos, M. Zajadatz, M. Suriyah, T. Leibfried,
D.S. Singhal, M. Bürger, D. Hunting, A. Rehmer, A. Boyaci, IEEE Access (2024)
1–1.
date_created: 2024-08-05T05:54:36Z
date_updated: 2024-08-16T11:04:56Z
doi: 10.1109/access.2024.3437195
language:
- iso: eng
page: 1-1
project:
- _id: '650'
call_identifier: 7. Energieforschungsprogramm, Förderbereich "Digitalisierung der
Energiewende"
grant_number: 03E16090E
name: 'AProSys: AProSys -KI-gestützte Assistenz- und Prognosesysteme für den nachhaltigen
Einsatz in der intelligenten Verteilnetztechnik'
publication: IEEE Access
publication_identifier:
issn:
- 2169-3536
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
status: public
title: Towards Cognitive Assistance and Prognosis Systems in Power Distribution Grids
– Open Issues, Suitable Technologies, and Implementation Concepts
type: journal_article
user_id: '64394'
year: '2024'
...
---
_id: '55622'
abstract:
- lang: eng
text: ZusammenfassungDie zunehmende Relevanz von
Low- und No-Code-Anwendungen in Wissenschaft und Praxis ist darauf zurückzuführen,
dass sie Unternehmen die Automatisierung von Prozessen und Aktivitäten trotz begrenzter
IT-Kenntnisse ermöglichen. Dies ist von besonderer Bedeutung, da zahlreiche Unternehmen
mit Herausforderungen wie dem Fachkräftemangel sowie einer alternden Belegschaft
konfrontiert sind. Low- und No-Code-Anwendungen weisen ein beachtliches Potenzial
auf, Automatisierungen erfolgreich trotz limitierter Ressourcen umzusetzen. Im
Rahmen einer Fallstudie in einem Unternehmen der Energiebranche wurde untersucht,
welche Herausforderungen die Implementierung von Low- und No-Code-Anwendungen
mit sich bringt und wie diesen begegnet werden kann. Aus den Erkenntnissen wurden
vier Erfolgsfaktoren abgeleitet, die für andere Unternehmen als Grundlage dienen
können, um die Entwicklung von Low- und No-Code-Automatisierungen erfolgreich
umzusetzen. (1) Ein Minimum Viable Product stärkt das Verständnis von LCNC-Plattformen.
(2) Die Modularisierung von Entwicklungsaufgaben können zu einer ressourceneffizienteren
Entwicklung führen. (3) Nebenprodukte der Entwicklung können fortlaufend Automatisierungsprojekte
fördern. (4) Vorzeitige Releases in Livesystemen liefern wertvolle Verbesserungsvorschläge.
author:
- first_name: Alexander Marcus
full_name: Skolik, Alexander Marcus
id: '92908'
last_name: Skolik
orcid: 0009-0006-2519-1765
- first_name: Bernd
full_name: Löhr, Bernd
id: '56760'
last_name: Löhr
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
citation:
ama: Skolik AM, Löhr B, zur Heiden P, Bartelheimer C. Nutzung von Low- und No-Code-Anwendungen
zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation
of low- and no-code applications to automate business processes in regulated energy
markets. HMD Praxis der Wirtschaftsinformatik. Published online 2024. doi:10.1365/s40702-024-01101-3
apa: Skolik, A. M., Löhr, B., zur Heiden, P., & Bartelheimer, C. (2024). Nutzung
von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in
regulierten Energiemärkten Utilisation of low- and no-code applications to automate
business processes in regulated energy markets. HMD Praxis der Wirtschaftsinformatik.
https://doi.org/10.1365/s40702-024-01101-3
bibtex: '@article{Skolik_Löhr_zur Heiden_Bartelheimer_2024, title={Nutzung von Low-
und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten
Energiemärkten Utilisation of low- and no-code applications to automate business
processes in regulated energy markets}, DOI={10.1365/s40702-024-01101-3},
journal={HMD Praxis der Wirtschaftsinformatik}, publisher={Springer Fachmedien
Wiesbaden GmbH}, author={Skolik, Alexander Marcus and Löhr, Bernd and zur Heiden,
Philipp and Bartelheimer, Christian}, year={2024} }'
chicago: Skolik, Alexander Marcus, Bernd Löhr, Philipp zur Heiden, and Christian
Bartelheimer. “Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von
Geschäftsprozessen in regulierten Energiemärkten Utilisation of low- and no-code
applications to automate business processes in regulated energy markets.” HMD
Praxis der Wirtschaftsinformatik, 2024. https://doi.org/10.1365/s40702-024-01101-3.
ieee: 'A. M. Skolik, B. Löhr, P. zur Heiden, and C. Bartelheimer, “Nutzung von Low-
und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen in regulierten
Energiemärkten Utilisation of low- and no-code applications to automate business
processes in regulated energy markets,” HMD Praxis der Wirtschaftsinformatik,
2024, doi: 10.1365/s40702-024-01101-3.'
mla: Skolik, Alexander Marcus, et al. “Nutzung von Low- und No-Code-Anwendungen
zur Automatisierung von Geschäftsprozessen in regulierten Energiemärkten Utilisation
of low- and no-code applications to automate business processes in regulated energy
markets.” HMD Praxis der Wirtschaftsinformatik, Springer Fachmedien Wiesbaden
GmbH, 2024, doi:10.1365/s40702-024-01101-3.
short: A.M. Skolik, B. Löhr, P. zur Heiden, C. Bartelheimer, HMD Praxis der Wirtschaftsinformatik
(2024).
date_created: 2024-08-16T11:05:14Z
date_updated: 2024-08-16T11:06:18Z
doi: 10.1365/s40702-024-01101-3
language:
- iso: ger
publication: HMD Praxis der Wirtschaftsinformatik
publication_identifier:
issn:
- 1436-3011
- 2198-2775
publication_status: published
publisher: Springer Fachmedien Wiesbaden GmbH
status: public
title: Nutzung von Low- und No-Code-Anwendungen zur Automatisierung von Geschäftsprozessen
in regulierten Energiemärkten Utilisation of low- and no-code applications to automate
business processes in regulated energy markets
type: journal_article
user_id: '92908'
year: '2024'
...
---
_id: '50649'
abstract:
- lang: eng
text: The energy turnaround and the shift towards sustainable mobility threaten
the stability of European energy distribution grids due to substantially increasing
load fluctuations and power demand. These challenges can critically impact assets
in the distribution grid—e.g., switchgears—intensifying the need to plan, conduct,
and manage the maintenance of such assets. Predictive maintenance strategies that
analyze assets' current and historical condition data have been discussed as promising
approaches toward that end. However, the extant research focuses on designing
and improving analytical algorithms or information technology (IT) artifacts while
not considering how a maintenance service is cocreated by companies with IT. This
research article posits that IT and service must be aligned closely, presenting
an ensemble artifact comprising a digital industrial platform and a smart service
system for predictive maintenance on the distribution grid. The artifact is evaluated
by conducting a willingness-to-pay analysis with asset operators, documenting
their demand for condition monitoring and predictive maintenance as an integrated
solution, although they still struggle with even getting the condition data of
their assets. Building on these results, we formalize the knowledge in the form
of design principles and implications for managing the maintenance of critical
assets in the distribution grid.
article_type: original
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Jennifer
full_name: Priefer, Jennifer
id: '82872'
last_name: Priefer
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: zur Heiden P, Priefer J, Beverungen D. Predictive Maintenance on the Energy
Distribution Grid—Design and Evaluation of a Digital Industrial Platform in the
Context of a Smart Service System. IEEE Transactions on Engineering Management.
2024;71:3641-3655. doi:10.1109/tem.2024.3352819
apa: zur Heiden, P., Priefer, J., & Beverungen, D. (2024). Predictive Maintenance
on the Energy Distribution Grid—Design and Evaluation of a Digital Industrial
Platform in the Context of a Smart Service System. IEEE Transactions on Engineering
Management, 71, 3641–3655. https://doi.org/10.1109/tem.2024.3352819
bibtex: '@article{zur Heiden_Priefer_Beverungen_2024, title={Predictive Maintenance
on the Energy Distribution Grid—Design and Evaluation of a Digital Industrial
Platform in the Context of a Smart Service System}, volume={71}, DOI={10.1109/tem.2024.3352819},
journal={IEEE Transactions on Engineering Management}, publisher={Institute of
Electrical and Electronics Engineers (IEEE)}, author={zur Heiden, Philipp and
Priefer, Jennifer and Beverungen, Daniel}, year={2024}, pages={3641–3655} }'
chicago: 'Heiden, Philipp zur, Jennifer Priefer, and Daniel Beverungen. “Predictive
Maintenance on the Energy Distribution Grid—Design and Evaluation of a Digital
Industrial Platform in the Context of a Smart Service System.” IEEE Transactions
on Engineering Management 71 (2024): 3641–55. https://doi.org/10.1109/tem.2024.3352819.'
ieee: 'P. zur Heiden, J. Priefer, and D. Beverungen, “Predictive Maintenance on
the Energy Distribution Grid—Design and Evaluation of a Digital Industrial Platform
in the Context of a Smart Service System,” IEEE Transactions on Engineering
Management, vol. 71, pp. 3641–3655, 2024, doi: 10.1109/tem.2024.3352819.'
mla: zur Heiden, Philipp, et al. “Predictive Maintenance on the Energy Distribution
Grid—Design and Evaluation of a Digital Industrial Platform in the Context of
a Smart Service System.” IEEE Transactions on Engineering Management, vol.
71, Institute of Electrical and Electronics Engineers (IEEE), 2024, pp. 3641–55,
doi:10.1109/tem.2024.3352819.
short: P. zur Heiden, J. Priefer, D. Beverungen, IEEE Transactions on Engineering
Management 71 (2024) 3641–3655.
date_created: 2024-01-19T11:47:56Z
date_updated: 2024-11-11T09:50:34Z
ddc:
- '620'
doi: 10.1109/tem.2024.3352819
file:
- access_level: closed
content_type: application/pdf
creator: dabe
date_created: 2024-04-18T12:26:27Z
date_updated: 2024-04-18T12:26:27Z
file_id: '53570'
file_name: Predictive_Maintenance_on_the_Energy_Distribution_GridDesign_and_Evaluation_of_a_Digital_Industrial_Platform_in_the_Context_of_a_Smart_Service_System.pdf
file_size: 4070804
relation: main_file
success: 1
file_date_updated: 2024-04-18T12:26:27Z
has_accepted_license: '1'
intvolume: ' 71'
keyword:
- Design science research
- digital platform
- distribution grid
- IS design
- predictive maintenance
- smart services
language:
- iso: eng
page: 3641-3655
project:
- _id: '651'
grant_number: 03E16012F
name: 'FLEMING: FLEMING - Flexible Monitoring- und Regelsysteme für die Energie-
und Mobilitätswende im Verteilnetz durch Einsatz von Künstlicher Intelligenz'
publication: IEEE Transactions on Engineering Management
publication_identifier:
issn:
- 0018-9391
- 1558-0040
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
quality_controlled: '1'
status: public
title: Predictive Maintenance on the Energy Distribution Grid—Design and Evaluation
of a Digital Industrial Platform in the Context of a Smart Service System
type: journal_article
user_id: '82872'
volume: 71
year: '2024'
...
---
_id: '54447'
abstract:
- lang: eng
text: 'ZusammenfassungVerteilnetzbetreiber in Deutschland
stehen vor großen Herausforderungen bei dem Management ihres unternehmensspezifischen
Wissens: Mitarbeiterengpässe durch den demographischen Wandel, Wissen ist nur
implizit vorhanden und nicht in Wissensmanagementsystemen digitalisiert, teilweise
gibt es gar keine Wissensmanagementsysteme oder Konzepte und das Verteilnetz wird
immer komplexer. Verbunden mit zunehmender Belastung von zentralen Komponenten
im Verteilnetz durch die Energiewende bedarf es neuer Lösungen, besonders für
die wissensintensiven Wartungs- und Instandhaltungsprozesse. Generative Artificial
Intelligence als aufstrebende Technologie, insb. durch Large Language Models,
zeigt hier erste Erfolge für die Anleitung, Entscheidungsunterstützung und den
Wissenstransfer. Aufbauend auf dem Design Science Research Forschungsparadigma
wird in diesem Beitrag ein ganzheitlicher Ansatz des Wissensmanagements konzipiert,
welcher als zentrale Komponente auf einem Assistenzsystem basiert. Ein Large Language
Model generiert Hilfestellungen für Netzmonteure während der Wartung und Instandhaltung
auf Basis von Anleitungen. Neben der Konzeption zeigt dieser Beitrag auch die
erarbeitete Strategie zur Demonstration und zukünftigen Evaluation der Ergebnisse.
Der Beitrag liefert ein für Verteilnetzbetreiber neuartiges Konzept Large Language
Model basierter Assistenzsysteme zum Wissensmanagement und zeigt zudem nachgelagerte
Schritte auf, die vor einer Markteinführung notwendig sind.'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Sascha
full_name: Kaltenpoth, Sascha
last_name: Kaltenpoth
citation:
ama: zur Heiden P, Kaltenpoth S. Knowledge Management for Service and Maintenance
on the Distribution Grid—Conceptualizing an Assistance System based on a Large
Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz –
Konzeption eines Assistenzsystems basierend auf einem Large Language Model. HMD
Praxis der Wirtschaftsinformatik. Published online 2024. doi:10.1365/s40702-024-01074-3
apa: zur Heiden, P., & Kaltenpoth, S. (2024). Knowledge Management for Service
and Maintenance on the Distribution Grid—Conceptualizing an Assistance System
based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model. HMD Praxis der Wirtschaftsinformatik. https://doi.org/10.1365/s40702-024-01074-3
bibtex: '@article{zur Heiden_Kaltenpoth_2024, title={Knowledge Management for Service
and Maintenance on the Distribution Grid—Conceptualizing an Assistance System
based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model}, DOI={10.1365/s40702-024-01074-3},
journal={HMD Praxis der Wirtschaftsinformatik}, publisher={Springer Fachmedien
Wiesbaden GmbH}, author={zur Heiden, Philipp and Kaltenpoth, Sascha}, year={2024}
}'
chicago: Heiden, Philipp zur, and Sascha Kaltenpoth. “Knowledge Management for Service
and Maintenance on the Distribution Grid—Conceptualizing an Assistance System
based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model.” HMD Praxis der Wirtschaftsinformatik, 2024. https://doi.org/10.1365/s40702-024-01074-3.
ieee: 'P. zur Heiden and S. Kaltenpoth, “Knowledge Management for Service and Maintenance
on the Distribution Grid—Conceptualizing an Assistance System based on a Large
Language Model Wissensmanagement für Wartung und Instandhaltung im Verteilnetz –
Konzeption eines Assistenzsystems basierend auf einem Large Language Model,” HMD
Praxis der Wirtschaftsinformatik, 2024, doi: 10.1365/s40702-024-01074-3.'
mla: zur Heiden, Philipp, and Sascha Kaltenpoth. “Knowledge Management for Service
and Maintenance on the Distribution Grid—Conceptualizing an Assistance System
based on a Large Language Model Wissensmanagement für Wartung und Instandhaltung
im Verteilnetz – Konzeption eines Assistenzsystems basierend auf einem Large Language
Model.” HMD Praxis der Wirtschaftsinformatik, Springer Fachmedien Wiesbaden
GmbH, 2024, doi:10.1365/s40702-024-01074-3.
short: P. zur Heiden, S. Kaltenpoth, HMD Praxis der Wirtschaftsinformatik (2024).
date_created: 2024-05-24T13:38:54Z
date_updated: 2024-11-11T09:50:53Z
doi: 10.1365/s40702-024-01074-3
language:
- iso: ger
publication: HMD Praxis der Wirtschaftsinformatik
publication_identifier:
issn:
- 1436-3011
- 2198-2775
publication_status: published
publisher: Springer Fachmedien Wiesbaden GmbH
status: public
title: Knowledge Management for Service and Maintenance on the Distribution Grid—Conceptualizing
an Assistance System based on a Large Language Model Wissensmanagement für Wartung
und Instandhaltung im Verteilnetz – Konzeption eines Assistenzsystems basierend
auf einem Large Language Model
type: journal_article
user_id: '64394'
year: '2024'
...
---
_id: '55941'
article_type: original
author:
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
citation:
ama: Beverungen D, zur Heiden P. „Digital Responsibility muss verankert, verinnerlicht
und umgesetzt werden – vor allem in Bezug auf Daten“. Wirtschaftsinformatik
& Management. Published online 2024. doi:10.1365/s35764-024-00529-y
apa: Beverungen, D., & zur Heiden, P. (2024). „Digital Responsibility muss verankert,
verinnerlicht und umgesetzt werden – vor allem in Bezug auf Daten“. Wirtschaftsinformatik
& Management. https://doi.org/10.1365/s35764-024-00529-y
bibtex: '@article{Beverungen_zur Heiden_2024, title={„Digital Responsibility muss
verankert, verinnerlicht und umgesetzt werden – vor allem in Bezug auf Daten“},
DOI={10.1365/s35764-024-00529-y},
journal={Wirtschaftsinformatik & Management}, publisher={Springer Fachmedien
Wiesbaden GmbH}, author={Beverungen, Daniel and zur Heiden, Philipp}, year={2024}
}'
chicago: Beverungen, Daniel, and Philipp zur Heiden. “„Digital Responsibility muss
verankert, verinnerlicht und umgesetzt werden – vor allem in Bezug auf Daten“.”
Wirtschaftsinformatik & Management, 2024. https://doi.org/10.1365/s35764-024-00529-y.
ieee: 'D. Beverungen and P. zur Heiden, “„Digital Responsibility muss verankert,
verinnerlicht und umgesetzt werden – vor allem in Bezug auf Daten“,” Wirtschaftsinformatik
& Management, 2024, doi: 10.1365/s35764-024-00529-y.'
mla: Beverungen, Daniel, and Philipp zur Heiden. “„Digital Responsibility muss verankert,
verinnerlicht und umgesetzt werden – vor allem in Bezug auf Daten“.” Wirtschaftsinformatik
& Management, Springer Fachmedien Wiesbaden GmbH, 2024, doi:10.1365/s35764-024-00529-y.
short: D. Beverungen, P. zur Heiden, Wirtschaftsinformatik & Management (2024).
date_created: 2024-08-30T14:14:27Z
date_updated: 2024-11-11T09:50:44Z
department:
- _id: '195'
doi: 10.1365/s35764-024-00529-y
language:
- iso: ger
publication: Wirtschaftsinformatik & Management
publication_identifier:
issn:
- 1867-5905
- 1867-5913
publication_status: published
publisher: Springer Fachmedien Wiesbaden GmbH
status: public
title: „Digital Responsibility muss verankert, verinnerlicht und umgesetzt werden –
vor allem in Bezug auf Daten“
type: journal_article
user_id: '59677'
year: '2024'
...
---
_id: '56962'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Christian
full_name: Gussew, Christian
last_name: Gussew
citation:
ama: 'zur Heiden P, Gussew C. Knowledge Repositories in the Age of AI: Deriving
Design Principles from Practice. In: 19th International Conference on Business
Informatics (WI24). ; 2024.'
apa: 'zur Heiden, P., & Gussew, C. (2024). Knowledge Repositories in the Age
of AI: Deriving Design Principles from Practice. 19th International Conference
on Business Informatics (WI24). 19th International Conference on Business
Informatics (WI24), Würzburg.'
bibtex: '@inproceedings{zur Heiden_Gussew_2024, title={Knowledge Repositories in
the Age of AI: Deriving Design Principles from Practice}, booktitle={19th International
Conference on Business Informatics (WI24)}, author={zur Heiden, Philipp and Gussew,
Christian}, year={2024} }'
chicago: 'Heiden, Philipp zur, and Christian Gussew. “Knowledge Repositories in
the Age of AI: Deriving Design Principles from Practice.” In 19th International
Conference on Business Informatics (WI24), 2024.'
ieee: 'P. zur Heiden and C. Gussew, “Knowledge Repositories in the Age of AI: Deriving
Design Principles from Practice,” presented at the 19th International Conference
on Business Informatics (WI24), Würzburg, 2024.'
mla: 'zur Heiden, Philipp, and Christian Gussew. “Knowledge Repositories in the
Age of AI: Deriving Design Principles from Practice.” 19th International Conference
on Business Informatics (WI24), 2024.'
short: 'P. zur Heiden, C. Gussew, in: 19th International Conference on Business
Informatics (WI24), 2024.'
conference:
location: Würzburg
name: 19th International Conference on Business Informatics (WI24)
date_created: 2024-11-11T09:53:21Z
date_updated: 2024-11-11T09:53:26Z
department:
- _id: '195'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://aisel.aisnet.org/wi2024/78/
oa: '1'
project:
- _id: '650'
call_identifier: 7. Energieforschungsprogramm, Förderbereich "Digitalisierung der
Energiewende"
grant_number: 03E16090E
name: 'AProSys: AProSys -KI-gestützte Assistenz- und Prognosesysteme für den nachhaltigen
Einsatz in der intelligenten Verteilnetztechnik'
publication: 19th International Conference on Business Informatics (WI24)
status: public
title: 'Knowledge Repositories in the Age of AI: Deriving Design Principles from Practice'
type: conference
user_id: '64394'
year: '2024'
...
---
_id: '54454'
author:
- first_name: Philipp
full_name: Hansmeier, Philipp
id: '55603'
last_name: Hansmeier
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'Hansmeier P, zur Heiden P, Beverungen D. MODELING CUSTOMER JOURNEYS IN DIGITAL
DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE . In: Proceedings of the
Thirty-Second European Conference on Information Systems (ECIS 2024). ; 2024.'
apa: 'Hansmeier, P., zur Heiden, P., & Beverungen, D. (2024). MODELING CUSTOMER
JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE . Proceedings
of the Thirty-Second European Conference on Information Systems (ECIS 2024).'
bibtex: '@inproceedings{Hansmeier_zur Heiden_Beverungen_2024, title={MODELING CUSTOMER
JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE }, booktitle={Proceedings
of the Thirty-Second European Conference on Information Systems (ECIS 2024)},
author={Hansmeier, Philipp and zur Heiden, Philipp and Beverungen, Daniel}, year={2024}
}'
chicago: 'Hansmeier, Philipp, Philipp zur Heiden, and Daniel Beverungen. “MODELING
CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE
.” In Proceedings of the Thirty-Second European Conference on Information Systems
(ECIS 2024), 2024.'
ieee: 'P. Hansmeier, P. zur Heiden, and D. Beverungen, “MODELING CUSTOMER JOURNEYS
IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING LANGUAGE ,” Paphos, 2024.'
mla: 'Hansmeier, Philipp, et al. “MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS:
A DOMAIN-SPECIFIC MODELING LANGUAGE .” Proceedings of the Thirty-Second European
Conference on Information Systems (ECIS 2024), 2024.'
short: 'P. Hansmeier, P. zur Heiden, D. Beverungen, in: Proceedings of the Thirty-Second
European Conference on Information Systems (ECIS 2024), 2024.'
conference:
location: Paphos
date_created: 2024-05-27T07:49:44Z
date_updated: 2025-12-04T12:08:26Z
jel:
- L86
language:
- iso: eng
publication: Proceedings of the Thirty-Second European Conference on Information Systems
(ECIS 2024)
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://aisel.aisnet.org/ecis2024/track10_dmds_ecosystems/track10_dmds_ecosystems/8/
status: public
title: 'MODELING CUSTOMER JOURNEYS IN DIGITAL DATA ECOSYSTEMS: A DOMAIN-SPECIFIC MODELING
LANGUAGE '
type: conference
user_id: '55603'
year: '2024'
...
---
_id: '54453'
author:
- first_name: Philipp
full_name: Hansmeier, Philipp
id: '55603'
last_name: Hansmeier
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
citation:
ama: 'Hansmeier P, zur Heiden P. CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE) EXPERIENCE
FRAMEWORK FOR CULTURAL EVENTS . In: Proceedings of the Thirty-Second European
Conference on Information Systems (ECIS 2024). ; 2024.'
apa: Hansmeier, P., & zur Heiden, P. (2024). CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE)
EXPERIENCE FRAMEWORK FOR CULTURAL EVENTS . Proceedings of the Thirty-Second
European Conference on Information Systems (ECIS 2024).
bibtex: '@inproceedings{Hansmeier_zur Heiden_2024, title={CONCEPTUALIZING A HYBRID
(ONLINE-OFFLINE) EXPERIENCE FRAMEWORK FOR CULTURAL EVENTS }, booktitle={Proceedings
of the Thirty-Second European Conference on Information Systems (ECIS 2024)},
author={Hansmeier, Philipp and zur Heiden, Philipp}, year={2024} }'
chicago: Hansmeier, Philipp, and Philipp zur Heiden. “CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE)
EXPERIENCE FRAMEWORK FOR CULTURAL EVENTS .” In Proceedings of the Thirty-Second
European Conference on Information Systems (ECIS 2024), 2024.
ieee: P. Hansmeier and P. zur Heiden, “CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE)
EXPERIENCE FRAMEWORK FOR CULTURAL EVENTS ,” Paphos, 2024.
mla: Hansmeier, Philipp, and Philipp zur Heiden. “CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE)
EXPERIENCE FRAMEWORK FOR CULTURAL EVENTS .” Proceedings of the Thirty-Second
European Conference on Information Systems (ECIS 2024), 2024.
short: 'P. Hansmeier, P. zur Heiden, in: Proceedings of the Thirty-Second European
Conference on Information Systems (ECIS 2024), 2024.'
conference:
location: Paphos
date_created: 2024-05-27T07:35:51Z
date_updated: 2025-12-04T12:07:47Z
jel:
- L86
language:
- iso: eng
publication: Proceedings of the Thirty-Second European Conference on Information Systems
(ECIS 2024)
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://aisel.aisnet.org/ecis2024/track11_dss/track11_dss/4/
status: public
title: 'CONCEPTUALIZING A HYBRID (ONLINE-OFFLINE) EXPERIENCE FRAMEWORK FOR CULTURAL
EVENTS '
type: conference
user_id: '55603'
year: '2024'
...
---
_id: '46478'
abstract:
- lang: eng
text: High streets across Europe continue to lose consumers to online retail, leading
to business closures and the decline of city centres, impairing cities’ overall
liveability. To counter this vicious cycle, our study presents smartmarket2, the
first instantiation of a digital actor engagement platform designed specifically
for high streets. smartmarket2 enables hybrid online-offline customer journeys
by connecting consumers to stores and other high street service providers. In
an action design research (ADR) project, we design, implement and evaluate smartmarket2,
involving 150 high street operators and 2,300 citizens in three cycles of building,
intervention and evaluation. We derive four design principles that contribute
prescriptive knowledge on the design of digital actor engagement platforms. Our
results reveal that such a platform is able to increase engagement, but that it
is subject to actors’ engagement dispositions.
article_type: original
author:
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Carsten Ingo
full_name: Berendes, Carsten Ingo
id: '53344'
last_name: Berendes
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'Bartelheimer C, zur Heiden P, Berendes CI, Beverungen D. Designing digital
actor engagement platforms for local high streets: an action design research study.
European Journal of Information Systems. Published online 2023:1-34. doi:10.1080/0960085x.2023.2242847'
apa: 'Bartelheimer, C., zur Heiden, P., Berendes, C. I., & Beverungen, D. (2023).
Designing digital actor engagement platforms for local high streets: an action
design research study. European Journal of Information Systems, 1–34. https://doi.org/10.1080/0960085x.2023.2242847'
bibtex: '@article{Bartelheimer_zur Heiden_Berendes_Beverungen_2023, title={Designing
digital actor engagement platforms for local high streets: an action design research
study}, DOI={10.1080/0960085x.2023.2242847},
journal={European Journal of Information Systems}, publisher={Taylor & Francis},
author={Bartelheimer, Christian and zur Heiden, Philipp and Berendes, Carsten
Ingo and Beverungen, Daniel}, year={2023}, pages={1–34} }'
chicago: 'Bartelheimer, Christian, Philipp zur Heiden, Carsten Ingo Berendes, and
Daniel Beverungen. “Designing Digital Actor Engagement Platforms for Local High
Streets: An Action Design Research Study.” European Journal of Information
Systems, 2023, 1–34. https://doi.org/10.1080/0960085x.2023.2242847.'
ieee: 'C. Bartelheimer, P. zur Heiden, C. I. Berendes, and D. Beverungen, “Designing
digital actor engagement platforms for local high streets: an action design research
study,” European Journal of Information Systems, pp. 1–34, 2023, doi: 10.1080/0960085x.2023.2242847.'
mla: 'Bartelheimer, Christian, et al. “Designing Digital Actor Engagement Platforms
for Local High Streets: An Action Design Research Study.” European Journal
of Information Systems, Taylor & Francis, 2023, pp. 1–34, doi:10.1080/0960085x.2023.2242847.'
short: C. Bartelheimer, P. zur Heiden, C.I. Berendes, D. Beverungen, European Journal
of Information Systems (2023) 1–34.
date_created: 2023-08-11T06:49:48Z
date_updated: 2024-04-18T12:32:21Z
ddc:
- '380'
department:
- _id: '195'
doi: 10.1080/0960085x.2023.2242847
file:
- access_level: closed
content_type: application/pdf
creator: dabe
date_created: 2024-04-18T12:31:20Z
date_updated: 2024-04-18T12:31:20Z
file_id: '53571'
file_name: Designing digital actor engagement platforms for local high streets an
action design research study.pdf
file_size: 9231007
relation: main_file
success: 1
file_date_updated: 2024-04-18T12:31:20Z
has_accepted_license: '1'
keyword:
- Digital platform
- action design research
- design principles
- actor engagement
- engagement platform
- location-based advertising
language:
- iso: eng
page: 1-34
project:
- _id: '35'
grant_number: 02K15A073
name: 'SmartMarketSquare: Interaktive Einkaufserlebnisse in Innenstädten durch digitale
Dienstleistungen'
publication: European Journal of Information Systems
publication_identifier:
issn:
- 0960-085X
- 1476-9344
publication_status: published
publisher: Taylor & Francis
quality_controlled: '1'
status: public
title: 'Designing digital actor engagement platforms for local high streets: an action
design research study'
type: journal_article
user_id: '59677'
year: '2023'
...
---
_id: '35893'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Jennifer
full_name: Priefer, Jennifer
id: '82872'
last_name: Priefer
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'zur Heiden P, Priefer J, Beverungen D. Location-Based Service and Location-Contextualizing
Service: Conceptualizing the Co-creation of Value with Location Information. In:
Proceedings of the 56th Conference on System Sciences. ; 2023.'
apa: 'zur Heiden, P., Priefer, J., & Beverungen, D. (2023). Location-Based Service
and Location-Contextualizing Service: Conceptualizing the Co-creation of Value
with Location Information. Proceedings of the 56th Conference on System Sciences.'
bibtex: '@inproceedings{zur Heiden_Priefer_Beverungen_2023, place={Maui, Hawaii},
title={Location-Based Service and Location-Contextualizing Service: Conceptualizing
the Co-creation of Value with Location Information}, booktitle={Proceedings of
the 56th Conference on System Sciences}, author={zur Heiden, Philipp and Priefer,
Jennifer and Beverungen, Daniel}, year={2023} }'
chicago: 'Heiden, Philipp zur, Jennifer Priefer, and Daniel Beverungen. “Location-Based
Service and Location-Contextualizing Service: Conceptualizing the Co-Creation
of Value with Location Information.” In Proceedings of the 56th Conference
on System Sciences. Maui, Hawaii, 2023.'
ieee: 'P. zur Heiden, J. Priefer, and D. Beverungen, “Location-Based Service and
Location-Contextualizing Service: Conceptualizing the Co-creation of Value with
Location Information,” 2023.'
mla: 'zur Heiden, Philipp, et al. “Location-Based Service and Location-Contextualizing
Service: Conceptualizing the Co-Creation of Value with Location Information.”
Proceedings of the 56th Conference on System Sciences, 2023.'
short: 'P. zur Heiden, J. Priefer, D. Beverungen, in: Proceedings of the 56th Conference
on System Sciences, Maui, Hawaii, 2023.'
date_created: 2023-01-10T15:38:51Z
date_updated: 2023-01-17T09:43:12Z
department:
- _id: '195'
language:
- iso: eng
place: Maui, Hawaii
publication: Proceedings of the 56th Conference on System Sciences
status: public
title: 'Location-Based Service and Location-Contextualizing Service: Conceptualizing
the Co-creation of Value with Location Information'
type: conference
user_id: '64394'
year: '2023'
...
---
_id: '42681'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
citation:
ama: 'zur Heiden P. Projekt FLEMING – Predictive Maintenance von zentralen Komponenten
des Mittelspannungsnetzes. In: Schulz M, Neuhaus U, Kühnel S, Rohde H, Hoseini
S, Theuerkauf R, eds. DASC-PM v1.1 Fallstudien. NORDAKADEMIE gAG Hochschule
der Wirtschaft; 2023:29-38.'
apa: zur Heiden, P. (2023). Projekt FLEMING – Predictive Maintenance von zentralen
Komponenten des Mittelspannungsnetzes. In M. Schulz, U. Neuhaus, S. Kühnel, H.
Rohde, S. Hoseini, & R. Theuerkauf (Eds.), DASC-PM v1.1 Fallstudien
(pp. 29–38). NORDAKADEMIE gAG Hochschule der Wirtschaft.
bibtex: '@inbook{zur Heiden_2023, title={Projekt FLEMING – Predictive Maintenance
von zentralen Komponenten des Mittelspannungsnetzes}, booktitle={DASC-PM v1.1
Fallstudien}, publisher={NORDAKADEMIE gAG Hochschule der Wirtschaft}, author={zur
Heiden, Philipp}, editor={Schulz, Michael and Neuhaus, Uwe and Kühnel, Stephan
and Rohde, Heiko and Hoseini, Sayed and Theuerkauf, René}, year={2023}, pages={29–38}
}'
chicago: Heiden, Philipp zur. “Projekt FLEMING – Predictive Maintenance von Zentralen
Komponenten Des Mittelspannungsnetzes.” In DASC-PM v1.1 Fallstudien, edited
by Michael Schulz, Uwe Neuhaus, Stephan Kühnel, Heiko Rohde, Sayed Hoseini, and
René Theuerkauf, 29–38. NORDAKADEMIE gAG Hochschule der Wirtschaft, 2023.
ieee: P. zur Heiden, “Projekt FLEMING – Predictive Maintenance von zentralen Komponenten
des Mittelspannungsnetzes,” in DASC-PM v1.1 Fallstudien, M. Schulz, U.
Neuhaus, S. Kühnel, H. Rohde, S. Hoseini, and R. Theuerkauf, Eds. NORDAKADEMIE
gAG Hochschule der Wirtschaft, 2023, pp. 29–38.
mla: zur Heiden, Philipp. “Projekt FLEMING – Predictive Maintenance von Zentralen
Komponenten Des Mittelspannungsnetzes.” DASC-PM v1.1 Fallstudien, edited
by Michael Schulz et al., NORDAKADEMIE gAG Hochschule der Wirtschaft, 2023, pp.
29–38.
short: 'P. zur Heiden, in: M. Schulz, U. Neuhaus, S. Kühnel, H. Rohde, S. Hoseini,
R. Theuerkauf (Eds.), DASC-PM v1.1 Fallstudien, NORDAKADEMIE gAG Hochschule der
Wirtschaft, 2023, pp. 29–38.'
date_created: 2023-03-03T07:54:25Z
date_updated: 2023-03-03T07:54:30Z
editor:
- first_name: Michael
full_name: Schulz, Michael
last_name: Schulz
- first_name: Uwe
full_name: Neuhaus, Uwe
last_name: Neuhaus
- first_name: Stephan
full_name: Kühnel, Stephan
last_name: Kühnel
- first_name: Heiko
full_name: Rohde, Heiko
last_name: Rohde
- first_name: Sayed
full_name: Hoseini, Sayed
last_name: Hoseini
- first_name: René
full_name: Theuerkauf, René
last_name: Theuerkauf
language:
- iso: eng
page: 29-38
publication: DASC-PM v1.1 Fallstudien
publisher: NORDAKADEMIE gAG Hochschule der Wirtschaft
status: public
title: Projekt FLEMING – Predictive Maintenance von zentralen Komponenten des Mittelspannungsnetzes
type: book_chapter
user_id: '64394'
year: '2023'
...
---
_id: '47107'
author:
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Christiane
full_name: Lehrer, Christiane
last_name: Lehrer
- first_name: Matthias
full_name: Trier, Matthias
id: '72744'
last_name: Trier
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
- first_name: Tobias
full_name: Bradt, Tobias
last_name: Bradt
- first_name: Bettina
full_name: Distel, Bettina
last_name: Distel
- first_name: Paul
full_name: Drews, Paul
last_name: Drews
- first_name: Jan Fabian
full_name: Ehmke, Jan Fabian
last_name: Ehmke
- first_name: Hans-Georg
full_name: Fill, Hans-Georg
last_name: Fill
- first_name: Christoph M.
full_name: Flath, Christoph M.
last_name: Flath
- first_name: Gilbert
full_name: Fridgen, Gilbert
last_name: Fridgen
- first_name: Thomas
full_name: Grisold, Thomas
last_name: Grisold
- first_name: Christian
full_name: Janiesch, Christian
last_name: Janiesch
- first_name: Andreas
full_name: Janson, Andreas
last_name: Janson
- first_name: Oliver
full_name: Krancher, Oliver
last_name: Krancher
- first_name: Julia
full_name: Krönung, Julia
last_name: Krönung
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Attila
full_name: Márton, Attila
last_name: Márton
- first_name: Milad
full_name: Mirbabaie, Milad
id: '88691'
last_name: Mirbabaie
- first_name: Stefan
full_name: Morana, Stefan
last_name: Morana
- first_name: Benjamin
full_name: Mueller, Benjamin
last_name: Mueller
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Anna Maria
full_name: Oberländer, Anna Maria
last_name: Oberländer
- first_name: Christoph
full_name: Peters, Christoph
last_name: Peters
- first_name: Christoph
full_name: Peukert, Christoph
last_name: Peukert
- first_name: Melanie
full_name: Reuter-Oppermann, Melanie
last_name: Reuter-Oppermann
- first_name: Dennis M.
full_name: Riehle, Dennis M.
last_name: Riehle
- first_name: Susanne
full_name: Robra-Bissantz, Susanne
last_name: Robra-Bissantz
- first_name: Maximilian
full_name: Röglinger, Maximilian
last_name: Röglinger
- first_name: Kristina
full_name: Rosenthal, Kristina
last_name: Rosenthal
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Reinhard
full_name: Schütte, Reinhard
last_name: Schütte
- first_name: Susanne
full_name: Strahringer, Susanne
last_name: Strahringer
- first_name: Nils
full_name: Urbach, Nils
last_name: Urbach
- first_name: Lauri
full_name: Wessel, Lauri
last_name: Wessel
- first_name: Liudmila
full_name: Zavolokina, Liudmila
last_name: Zavolokina
- first_name: Patrick
full_name: Zschech, Patrick
last_name: Zschech
citation:
ama: 'Beverungen D, zur Heiden P, Lehrer C, et al. Implementing Digital Responsibility
through Information Systems Research: A Delphi Study of Objectives, Activities,
and Challenges in IS Research. Department of Information Systems, Paderborn
University; 2023.'
apa: 'Beverungen, D., zur Heiden, P., Lehrer, C., Trier, M., Bartelheimer, C., Bradt,
T., Distel, B., Drews, P., Ehmke, J. F., Fill, H.-G., Flath, C. M., Fridgen, G.,
Grisold, T., Janiesch, C., Janson, A., Krancher, O., Krönung, J., Kundisch, D.,
Márton, A., … Zschech, P. (2023). Implementing Digital Responsibility through
Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges
in IS Research. Department of Information Systems, Paderborn University.'
bibtex: '@book{Beverungen_zur Heiden_Lehrer_Trier_Bartelheimer_Bradt_Distel_Drews_Ehmke_Fill_et
al._2023, title={Implementing Digital Responsibility through Information Systems
Research: A Delphi Study of Objectives, Activities, and Challenges in IS Research},
publisher={Department of Information Systems, Paderborn University}, author={Beverungen,
Daniel and zur Heiden, Philipp and Lehrer, Christiane and Trier, Matthias and
Bartelheimer, Christian and Bradt, Tobias and Distel, Bettina and Drews, Paul
and Ehmke, Jan Fabian and Fill, Hans-Georg and et al.}, year={2023} }'
chicago: 'Beverungen, Daniel, Philipp zur Heiden, Christiane Lehrer, Matthias Trier,
Christian Bartelheimer, Tobias Bradt, Bettina Distel, et al. Implementing Digital
Responsibility through Information Systems Research: A Delphi Study of Objectives,
Activities, and Challenges in IS Research. Department of Information Systems,
Paderborn University, 2023.'
ieee: 'D. Beverungen et al., Implementing Digital Responsibility through
Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges
in IS Research. Department of Information Systems, Paderborn University, 2023.'
mla: 'Beverungen, Daniel, et al. Implementing Digital Responsibility through
Information Systems Research: A Delphi Study of Objectives, Activities, and Challenges
in IS Research. Department of Information Systems, Paderborn University, 2023.'
short: 'D. Beverungen, P. zur Heiden, C. Lehrer, M. Trier, C. Bartelheimer, T. Bradt,
B. Distel, P. Drews, J.F. Ehmke, H.-G. Fill, C.M. Flath, G. Fridgen, T. Grisold,
C. Janiesch, A. Janson, O. Krancher, J. Krönung, D. Kundisch, A. Márton, M. Mirbabaie,
S. Morana, B. Mueller, O. Müller, A.M. Oberländer, C. Peters, C. Peukert, M. Reuter-Oppermann,
D.M. Riehle, S. Robra-Bissantz, M. Röglinger, K. Rosenthal, G. Schryen, R. Schütte,
S. Strahringer, N. Urbach, L. Wessel, L. Zavolokina, P. Zschech, Implementing
Digital Responsibility through Information Systems Research: A Delphi Study of
Objectives, Activities, and Challenges in IS Research, Department of Information
Systems, Paderborn University, 2023.'
date_created: 2023-09-18T06:56:45Z
date_updated: 2023-09-18T06:56:50Z
ddc:
- '000'
department:
- _id: '195'
file:
- access_level: closed
content_type: application/pdf
creator: pzh
date_created: 2023-09-18T06:56:19Z
date_updated: 2023-09-18T06:56:19Z
file_id: '47109'
file_name: Delphi_Study_on_Digital_Responsibility.pdf
file_size: 3741688
relation: main_file
success: 1
file_date_updated: 2023-09-18T06:56:19Z
has_accepted_license: '1'
language:
- iso: eng
page: '16'
publisher: Department of Information Systems, Paderborn University
status: public
title: 'Implementing Digital Responsibility through Information Systems Research:
A Delphi Study of Objectives, Activities, and Challenges in IS Research'
type: report
user_id: '64394'
year: '2023'
...
---
_id: '29146'
author:
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Jennifer
full_name: Priefer, Jennifer
id: '82872'
last_name: Priefer
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'zur Heiden P, Priefer J, Beverungen D. Utilizing Geographic Information Systems
for Condition-Based Maintenance on the Energy Distribution Grid. In: Bui TX, ed.
Proceedings of the 55th Hawaii International Conference on System Sciences.
; 2022.'
apa: zur Heiden, P., Priefer, J., & Beverungen, D. (2022). Utilizing Geographic
Information Systems for Condition-Based Maintenance on the Energy Distribution
Grid. In T. X. Bui (Ed.), Proceedings of the 55th Hawaii International Conference
on System Sciences.
bibtex: '@inproceedings{zur Heiden_Priefer_Beverungen_2022, place={Honolulu, HI},
title={Utilizing Geographic Information Systems for Condition-Based Maintenance
on the Energy Distribution Grid}, booktitle={Proceedings of the 55th Hawaii International
Conference on System Sciences}, author={zur Heiden, Philipp and Priefer, Jennifer
and Beverungen, Daniel}, editor={Bui, Tung X.}, year={2022} }'
chicago: Heiden, Philipp zur, Jennifer Priefer, and Daniel Beverungen. “Utilizing
Geographic Information Systems for Condition-Based Maintenance on the Energy Distribution
Grid.” In Proceedings of the 55th Hawaii International Conference on System
Sciences, edited by Tung X. Bui. Honolulu, HI, 2022.
ieee: P. zur Heiden, J. Priefer, and D. Beverungen, “Utilizing Geographic Information
Systems for Condition-Based Maintenance on the Energy Distribution Grid,” in Proceedings
of the 55th Hawaii International Conference on System Sciences, Honolulu,
HI, 2022.
mla: zur Heiden, Philipp, et al. “Utilizing Geographic Information Systems for Condition-Based
Maintenance on the Energy Distribution Grid.” Proceedings of the 55th Hawaii
International Conference on System Sciences, edited by Tung X. Bui, 2022.
short: 'P. zur Heiden, J. Priefer, D. Beverungen, in: T.X. Bui (Ed.), Proceedings
of the 55th Hawaii International Conference on System Sciences, Honolulu, HI,
2022.'
conference:
end_date: 2022-01-07
location: Honolulu, HI
name: 55th Hawaii International Conference on System Sciences
start_date: 2022-01-03
date_created: 2022-01-03T08:34:37Z
date_updated: 2022-01-06T06:58:46Z
department:
- _id: '526'
editor:
- first_name: Tung X.
full_name: Bui, Tung X.
last_name: Bui
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/handle/10125/80031
oa: '1'
place: Honolulu, HI
publication: Proceedings of the 55th Hawaii International Conference on System Sciences
publication_identifier:
isbn:
- 978-0-9981331-5-7
publication_status: published
status: public
title: Utilizing Geographic Information Systems for Condition-Based Maintenance on
the Energy Distribution Grid
type: conference
user_id: '64394'
year: '2022'
...