---
_id: '60169'
abstract:
- lang: eng
text: "Abstract\r\n Data ecosystems can
generate valuable business opportunities, but research on their emergence within
specific industries is limited. The cultural event industry is characterized by
a multifaceted cultural landscape and a fragmented and heterogeneous market of
cultural event platforms. The emerging German cultural data ecosystem, envisioned
to share event data in a data space, could foster data-driven innovation and enhance
value creation in the cultural event industry. Yet, following the ecosystem-as-structure
view, the platforms’ willingness to participate in the cultural data ecosystem
depends on whether their business model aligns with at least one of the focal
value propositions of the cultural data ecosystem. In this paper, we develop a
taxonomy of cultural event platform business models, and derive six archetypes.
Additionally, we interview industry representatives of these archetypes to shed
light on the benefits and obstacles when participating in the cultural data ecosystem,
and to identify potential focal value propositions, corresponding actor roles,
and activities. Our work contributes to the discussion on taxonomies of data-sharing
business models and the emergence of data ecosystems in the cultural event industry."
article_number: '47'
author:
- first_name: Maike
full_name: Althaus, Maike
id: '61896'
last_name: Althaus
- first_name: Christian
full_name: Vorbohle, Christian
id: '29951'
last_name: Vorbohle
- first_name: Michelle
full_name: Müller, Michelle
id: '50286'
last_name: Müller
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: 'Althaus M, Vorbohle C, Müller M, Kundisch D. Setting the stage for a flourishing
cultural data ecosystem: A spotlight on business models of cultural event platforms.
Electronic Markets. 2025;35(1). doi:10.1007/s12525-025-00790-y'
apa: 'Althaus, M., Vorbohle, C., Müller, M., & Kundisch, D. (2025). Setting
the stage for a flourishing cultural data ecosystem: A spotlight on business models
of cultural event platforms. Electronic Markets, 35(1), Article
47. https://doi.org/10.1007/s12525-025-00790-y'
bibtex: '@article{Althaus_Vorbohle_Müller_Kundisch_2025, title={Setting the stage
for a flourishing cultural data ecosystem: A spotlight on business models of cultural
event platforms}, volume={35}, DOI={10.1007/s12525-025-00790-y},
number={147}, journal={Electronic Markets}, publisher={Springer Science and Business
Media LLC}, author={Althaus, Maike and Vorbohle, Christian and Müller, Michelle
and Kundisch, Dennis}, year={2025} }'
chicago: 'Althaus, Maike, Christian Vorbohle, Michelle Müller, and Dennis Kundisch.
“Setting the Stage for a Flourishing Cultural Data Ecosystem: A Spotlight on Business
Models of Cultural Event Platforms.” Electronic Markets 35, no. 1 (2025).
https://doi.org/10.1007/s12525-025-00790-y.'
ieee: 'M. Althaus, C. Vorbohle, M. Müller, and D. Kundisch, “Setting the stage for
a flourishing cultural data ecosystem: A spotlight on business models of cultural
event platforms,” Electronic Markets, vol. 35, no. 1, Art. no. 47, 2025,
doi: 10.1007/s12525-025-00790-y.'
mla: 'Althaus, Maike, et al. “Setting the Stage for a Flourishing Cultural Data
Ecosystem: A Spotlight on Business Models of Cultural Event Platforms.” Electronic
Markets, vol. 35, no. 1, 47, Springer Science and Business Media LLC, 2025,
doi:10.1007/s12525-025-00790-y.'
short: M. Althaus, C. Vorbohle, M. Müller, D. Kundisch, Electronic Markets 35 (2025).
date_created: 2025-06-10T13:51:24Z
date_updated: 2025-07-08T09:32:32Z
department:
- _id: '276'
doi: 10.1007/s12525-025-00790-y
intvolume: ' 35'
issue: '1'
language:
- iso: eng
publication: Electronic Markets
publication_identifier:
issn:
- 1019-6781
- 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Setting the stage for a flourishing cultural data ecosystem: A spotlight on
business models of cultural event platforms'
type: journal_article
user_id: '16205'
volume: 35
year: '2025'
...
---
_id: '60549'
author:
- first_name: Michelle
full_name: Müller, Michelle
id: '50286'
last_name: Müller
citation:
ama: 'Müller M. Guardians of Giving – An Empirical Analysis of the Relationship
between Charitable Crowdfunding and Acquisitive Crime,” Proceedings of the 33rd
European Conference on Information Systems (ECIS). In: Proceedings of the 33rd
European Conference on Information Systems (ECIS).'
apa: Müller, M. (n.d.). Guardians of Giving – An Empirical Analysis of the Relationship
between Charitable Crowdfunding and Acquisitive Crime,” Proceedings of the 33rd
European Conference on Information Systems (ECIS). Proceedings of the 33rd
European Conference on Information Systems (ECIS). 33rd European Conference
on Information Systems (ECIS), Amman, Jordan.
bibtex: '@inproceedings{Müller, title={Guardians of Giving – An Empirical Analysis
of the Relationship between Charitable Crowdfunding and Acquisitive Crime,” Proceedings
of the 33rd European Conference on Information Systems (ECIS)}, booktitle={Proceedings
of the 33rd European Conference on Information Systems (ECIS)}, author={Müller,
Michelle} }'
chicago: Müller, Michelle. “Guardians of Giving – An Empirical Analysis of the Relationship
between Charitable Crowdfunding and Acquisitive Crime,” Proceedings of the 33rd
European Conference on Information Systems (ECIS).” In Proceedings of the 33rd
European Conference on Information Systems (ECIS), n.d.
ieee: M. Müller, “Guardians of Giving – An Empirical Analysis of the Relationship
between Charitable Crowdfunding and Acquisitive Crime,” Proceedings of the 33rd
European Conference on Information Systems (ECIS),” presented at the 33rd European
Conference on Information Systems (ECIS), Amman, Jordan.
mla: Müller, Michelle. “Guardians of Giving – An Empirical Analysis of the Relationship
between Charitable Crowdfunding and Acquisitive Crime,” Proceedings of the 33rd
European Conference on Information Systems (ECIS).” Proceedings of the 33rd
European Conference on Information Systems (ECIS).
short: 'M. Müller, in: Proceedings of the 33rd European Conference on Information
Systems (ECIS), n.d.'
conference:
location: Amman, Jordan
name: 33rd European Conference on Information Systems (ECIS)
date_created: 2025-07-08T09:30:38Z
date_updated: 2025-07-09T09:37:34Z
department:
- _id: '276'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/ecis2025/gov_platform/gov_platform/4/
publication: Proceedings of the 33rd European Conference on Information Systems (ECIS)
publication_status: accepted
status: public
title: Guardians of Giving – An Empirical Analysis of the Relationship between Charitable
Crowdfunding and Acquisitive Crime,” Proceedings of the 33rd European Conference
on Information Systems (ECIS)
type: conference
user_id: '16205'
year: '2025'
...
---
_id: '60680'
abstract:
- lang: eng
text: "Classical machine learning techniques often struggle with overfitting and
unreliable predictions when exposed to novel conditions. Introducing causality
into the modelling process offers a promising way to mitigate these challenges
by enhancing predictive robustness. However, constructing an initial causal graph
manually using domain knowledge is time-consuming, particularly in complex time
series with numerous variables. To address this, causal discovery algorithms can
provide a preliminary causal structure that domain experts can refine. This study
investigates causal feature selection with domain knowledge using a data center
system as an example. We use simulated time-series data to compare \r\ndifferent
causal feature selection with traditional machine-learning feature selection methods.
Our results show that predictions based on causal features are more robust compared
to those derived from traditional methods. These findings underscore the potential
of combining causal discovery algorithms with human expertise to improve machine
learning applications."
author:
- first_name: David Ricardo
full_name: Zapata Gonzalez, David Ricardo
id: '105506'
last_name: Zapata Gonzalez
- first_name: Marcel
full_name: Meyer, Marcel
id: '105120'
last_name: Meyer
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Zapata Gonzalez DR, Meyer M, Müller O. Bridging the gap between data-driven
and theory-driven modelling – leveraging causal machine learning for integrative
modelling of dynamical systems. In: ; 2025.'
apa: Zapata Gonzalez, D. R., Meyer, M., & Müller, O. (2025). Bridging the
gap between data-driven and theory-driven modelling – leveraging causal machine
learning for integrative modelling of dynamical systems. European Conference
on Information Systems, Amman, Jordan.
bibtex: '@inproceedings{Zapata Gonzalez_Meyer_Müller_2025, title={Bridging the gap
between data-driven and theory-driven modelling – leveraging causal machine learning
for integrative modelling of dynamical systems}, author={Zapata Gonzalez, David
Ricardo and Meyer, Marcel and Müller, Oliver}, year={2025} }'
chicago: Zapata Gonzalez, David Ricardo, Marcel Meyer, and Oliver Müller. “Bridging
the Gap between Data-Driven and Theory-Driven Modelling – Leveraging Causal Machine
Learning for Integrative Modelling of Dynamical Systems,” 2025.
ieee: D. R. Zapata Gonzalez, M. Meyer, and O. Müller, “Bridging the gap between
data-driven and theory-driven modelling – leveraging causal machine learning for
integrative modelling of dynamical systems,” presented at the European Conference
on Information Systems, Amman, Jordan, 2025.
mla: Zapata Gonzalez, David Ricardo, et al. Bridging the Gap between Data-Driven
and Theory-Driven Modelling – Leveraging Causal Machine Learning for Integrative
Modelling of Dynamical Systems. 2025.
short: 'D.R. Zapata Gonzalez, M. Meyer, O. Müller, in: 2025.'
conference:
end_date: 18.06.2025
location: Amman, Jordan
name: European Conference on Information Systems
start_date: 16.06.2025
date_created: 2025-07-21T07:52:03Z
date_updated: 2025-07-22T06:30:37Z
department:
- _id: '196'
keyword:
- Causal Machine Learning
- Causality in Time Series
- Causal Discovery
- Human-Machine Collaboration
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/ecis2025/bus_analytics/bus_analytics/2/
status: public
title: Bridging the gap between data-driven and theory-driven modelling – leveraging
causal machine learning for integrative modelling of dynamical systems
type: conference
user_id: '72849'
year: '2025'
...
---
_id: '60004'
abstract:
- lang: eng
text: Process mining has been established as a data-driven approach to analyze and
improve business processes based on event data documented in event logs. A core
assumption for meaningful analyses is that event data accurately represent the
real-world execution of business processes in an organization. However, anecdotal
evidence and recent case studies show that these aspects do not always align,
and the business process management community is only beginning to investigate
the mechanisms generating mismatches between process execution and event data.
This study aims to identify the role of workarounds goal-directed deviations from
standard processes performed by process participants to overcome obstacles– in
this context. Through an inductive multiple case study of 13 workarounds in four
organizations, three mismatch categories between event logs and real-world process
execution related to workarounds are identified and explored. This study contributes
to the literature by describing how workarounds can act as mechanisms that cause
mismatches between process execution and event data, adding to the discussion
on process drift and workaround mining. Furthermore, exploring the mismatch categories
offers insights for practitioners and researchers on how to handle and interpret
data quality issues in event data.
author:
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
- first_name: Bernd
full_name: Löhr, Bernd
id: '56760'
last_name: Löhr
orcid: 0000-0001-9581-4602
- first_name: Malte Fabian
full_name: Reineke, Malte Fabian
id: '60641'
last_name: Reineke
- first_name: Agnes
full_name: Aßbrock, Agnes
last_name: Aßbrock
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: Bartelheimer C, Löhr B, Reineke MF, Aßbrock A, Beverungen D. Workarounds as
a Cause of Mismatches in Business Processes—Insights from a Multiple Case Study.
Business & Information Systems Engineering. Published online 2025.
doi:10.1007/s12599-025-00943-5
apa: Bartelheimer, C., Löhr, B., Reineke, M. F., Aßbrock, A., & Beverungen,
D. (2025). Workarounds as a Cause of Mismatches in Business Processes—Insights
from a Multiple Case Study. Business & Information Systems Engineering.
https://doi.org/10.1007/s12599-025-00943-5
bibtex: '@article{Bartelheimer_Löhr_Reineke_Aßbrock_Beverungen_2025, title={Workarounds
as a Cause of Mismatches in Business Processes—Insights from a Multiple Case Study},
DOI={10.1007/s12599-025-00943-5},
journal={Business & Information Systems Engineering}, publisher={Springer
Science and Business Media LLC}, author={Bartelheimer, Christian and Löhr, Bernd
and Reineke, Malte Fabian and Aßbrock, Agnes and Beverungen, Daniel}, year={2025}
}'
chicago: Bartelheimer, Christian, Bernd Löhr, Malte Fabian Reineke, Agnes Aßbrock,
and Daniel Beverungen. “Workarounds as a Cause of Mismatches in Business Processes—Insights
from a Multiple Case Study.” Business & Information Systems Engineering,
2025. https://doi.org/10.1007/s12599-025-00943-5.
ieee: 'C. Bartelheimer, B. Löhr, M. F. Reineke, A. Aßbrock, and D. Beverungen, “Workarounds
as a Cause of Mismatches in Business Processes—Insights from a Multiple Case Study,”
Business & Information Systems Engineering, 2025, doi: 10.1007/s12599-025-00943-5.'
mla: Bartelheimer, Christian, et al. “Workarounds as a Cause of Mismatches in Business
Processes—Insights from a Multiple Case Study.” Business & Information
Systems Engineering, Springer Science and Business Media LLC, 2025, doi:10.1007/s12599-025-00943-5.
short: C. Bartelheimer, B. Löhr, M.F. Reineke, A. Aßbrock, D. Beverungen, Business
& Information Systems Engineering (2025).
date_created: 2025-05-21T08:22:11Z
date_updated: 2025-08-12T11:35:26Z
department:
- _id: '195'
doi: 10.1007/s12599-025-00943-5
language:
- iso: eng
publication: Business & Information Systems Engineering
publication_identifier:
issn:
- 2363-7005
- 1867-0202
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: Workarounds as a Cause of Mismatches in Business Processes—Insights from a
Multiple Case Study
type: journal_article
user_id: '56760'
year: '2025'
...
---
_id: '60958'
abstract:
- lang: eng
text: Large Language Models (LLMs) excel in understanding, generating, and processing
human language, with growing adoption in process mining. Process mining relies
on event logs that capture explicit process knowledge; however, knowledge-intensive
processes (KIPs) in domains such as healthcare and product development depend
on tacit knowledge, which is often absent from event logs. To bridge this gap,
this study proposes a LLM-based framework for mobilizing tacit process knowledge
and enriching event logs. A proof-of-concept is demonstrated using a KIP-specific
LLM-driven conversational agent built on GPT-4o. The results indicate that LLMs
can capture tacit process knowledge through targeted queries and systematically
integrate it into event logs. This study presents a novel approach combining LLMs,
knowledge management, and process mining, advancing the understanding and management
of KIPs by enhancing knowledge accessibility and documentation.
author:
- first_name: Katharina
full_name: Brennig, Katharina
last_name: Brennig
citation:
ama: 'Brennig K. Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit
Knowledge in Event Logs of Knowledge-Intensive Processes. In: AMCIS 2025 Proceedings.
11. ; 2025.'
apa: 'Brennig, K. (2025). Revealing the Unspoken: Using LLMs to Mobilize and Enrich
Tacit Knowledge in Event Logs of Knowledge-Intensive Processes. AMCIS 2025
Proceedings. 11. Americas Conference on Information Systems, Montréal.'
bibtex: '@inproceedings{Brennig_2025, title={Revealing the Unspoken: Using LLMs
to Mobilize and Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes},
booktitle={AMCIS 2025 Proceedings. 11.}, author={Brennig, Katharina}, year={2025}
}'
chicago: 'Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and
Enrich Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” In AMCIS
2025 Proceedings. 11., 2025.'
ieee: 'K. Brennig, “Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit
Knowledge in Event Logs of Knowledge-Intensive Processes,” presented at the Americas
Conference on Information Systems, Montréal, 2025.'
mla: 'Brennig, Katharina. “Revealing the Unspoken: Using LLMs to Mobilize and Enrich
Tacit Knowledge in Event Logs of Knowledge-Intensive Processes.” AMCIS 2025
Proceedings. 11., 2025.'
short: 'K. Brennig, in: AMCIS 2025 Proceedings. 11., 2025.'
conference:
end_date: 2025-08-16
location: Montréal
name: Americas Conference on Information Systems
start_date: 2025-08-14
date_created: 2025-08-20T07:03:37Z
date_updated: 2025-08-20T07:06:16Z
department:
- _id: '196'
keyword:
- Process Mining
- Large Language Model
- Knowledge Management
- Knowledge-Intensive Process
- Tacit Knowledge
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
publication: AMCIS 2025 Proceedings. 11.
related_material:
link:
- relation: confirmation
url: https://aisel.aisnet.org/amcis2025/sig_svc/sig_svc/11/
status: public
title: 'Revealing the Unspoken: Using LLMs to Mobilize and Enrich Tacit Knowledge
in Event Logs of Knowledge-Intensive Processes'
type: conference
user_id: '51905'
year: '2025'
...
---
_id: '60050'
abstract:
- lang: eng
text: Reputation systems to rate companies’ performances remain largely unexplored
inresearch and are scarcely used in business-to-business (B2B) practice. Such
systemsare essential for businesses seeking trustworthy partners, as they help
reduce infor-mation asymmetry, lower buyers’ transaction risks, and allow high-quality
serviceproviders to justify premium pricing. Unlike traditional review-based systems
in thebusiness-to-consumer (B2C) context, we propose a B2B reputation mechanism
inwhich buyers commit to a rating payment before a transaction. Once the buyer
final-izes the rating, this payment is executed and recorded on a blockchain as
an immu-table, secure ledger. Our system mimics natural trust-building mechanisms
with rat-ings that are (1) monetary-based, (2) stake-based, (3) non-aggregated,
(4) involvecounter-ratings, (5) selectively sellable, (6) individually comparable,
(7) stored ona blockchain, (8) and monitored by a third instance. This system
provides a novelapproach to fostering trust in B2B transactions by reducing information
asymme-try and transaction risk. We illustrate the mechanism’s application in
the consultingsector. Our analysis has identified 23 institutional trust and distrust
dimensions thatpromote establishing institutional trust through the proposed mechanism.
Qualita-tive interviews suggest that, while complex and challenging to apply,
this mecha-nism can foster trust in B2B transactions. Given the low maturity in
the applicationdomain—rating professional business services with business reputation
systems—and solution domain—using monetary stakes for ratings, this system stands
as apotential invention.
article_type: original
author:
- first_name: Simon
full_name: Hemmrich, Simon
id: '83557'
last_name: Hemmrich
- first_name: Volker
full_name: Nissen, Volker
last_name: Nissen
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Josias Daniel Miño
full_name: Pauls, Josias Daniel Miño
last_name: Pauls
citation:
ama: 'Hemmrich S, Nissen V, Beverungen D, Pauls JDM. Blockchain‑based reputation
systemsfor business‑to‑business services: designing a reputation mechanism to
reduce information asymmetry in professional consulting. Information Systems
and e-Business Management. 2025;23(1). doi:https://doi.org/10.1007/s10257-025-00702-9'
apa: 'Hemmrich, S., Nissen, V., Beverungen, D., & Pauls, J. D. M. (2025). Blockchain‑based
reputation systemsfor business‑to‑business services: designing a reputation mechanism
to reduce information asymmetry in professional consulting. Information Systems
and E-Business Management, 23(1). https://doi.org/10.1007/s10257-025-00702-9'
bibtex: '@article{Hemmrich_Nissen_Beverungen_Pauls_2025, title={Blockchain‑based
reputation systemsfor business‑to‑business services: designing a reputation mechanism
to reduce information asymmetry in professional consulting}, volume={23}, DOI={https://doi.org/10.1007/s10257-025-00702-9},
number={1}, journal={Information Systems and e-Business Management}, publisher={Springer},
author={Hemmrich, Simon and Nissen, Volker and Beverungen, Daniel and Pauls, Josias
Daniel Miño}, year={2025} }'
chicago: 'Hemmrich, Simon, Volker Nissen, Daniel Beverungen, and Josias Daniel Miño
Pauls. “Blockchain‑based Reputation Systemsfor Business‑to‑business Services:
Designing a Reputation Mechanism to Reduce Information Asymmetry in Professional
Consulting.” Information Systems and E-Business Management 23, no. 1 (2025).
https://doi.org/10.1007/s10257-025-00702-9.'
ieee: 'S. Hemmrich, V. Nissen, D. Beverungen, and J. D. M. Pauls, “Blockchain‑based
reputation systemsfor business‑to‑business services: designing a reputation mechanism
to reduce information asymmetry in professional consulting,” Information Systems
and e-Business Management, vol. 23, no. 1, 2025, doi: https://doi.org/10.1007/s10257-025-00702-9.'
mla: 'Hemmrich, Simon, et al. “Blockchain‑based Reputation Systemsfor Business‑to‑business
Services: Designing a Reputation Mechanism to Reduce Information Asymmetry in
Professional Consulting.” Information Systems and E-Business Management,
vol. 23, no. 1, Springer, 2025, doi:https://doi.org/10.1007/s10257-025-00702-9.'
short: S. Hemmrich, V. Nissen, D. Beverungen, J.D.M. Pauls, Information Systems
and E-Business Management 23 (2025).
date_created: 2025-05-28T08:12:28Z
date_updated: 2026-04-02T04:32:13Z
ddc:
- '000'
department:
- _id: '195'
doi: https://doi.org/10.1007/s10257-025-00702-9
external_id:
unknown:
- https://doi.org/10.1007/s10257-025-00702-9
file:
- access_level: closed
content_type: application/pdf
creator: hemmrich
date_created: 2025-05-28T08:05:18Z
date_updated: 2025-05-28T08:05:18Z
file_id: '60051'
file_name: Hemmrich_et_al-2025-Information_Systems_and_e-Business_Management.pdf
file_size: 1440251
relation: main_file
success: 1
file_date_updated: 2025-05-28T08:05:18Z
has_accepted_license: '1'
intvolume: ' 23'
issue: '1'
jel:
- D81
- D82
- L86
- L10
- M30
keyword:
- Information asymmetry
- Trust
- Reputation system
- Monetary rating
- Blockchain
- Consulting
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://link.springer.com/epdf/10.1007/s10257-025-00702-9?sharing_token=fOiWqZx_ScKFAKjxu5UqWPe4RwlQNchNByi7wbcMAY6mjxpZFPB3OtpVT0rAZf9eEBt3_qXIVcZ67l3R9JVYasmuCsIimzE-xfP0N5Rimun248j0jFOnL1eBu4rypKSDFnbmR3kJ5xx-HLnCXvPvQPwpm09qOkS9GSNsiG-du60%3D
oa: '1'
publication: Information Systems and e-Business Management
publication_status: published
publisher: Springer
quality_controlled: '1'
status: public
title: 'Blockchain‑based reputation systemsfor business‑to‑business services: designing
a reputation mechanism to reduce information asymmetry in professional consulting'
type: journal_article
user_id: '83557'
volume: 23
year: '2025'
...
---
_id: '65309'
author:
- first_name: Simon
full_name: Hemmrich, Simon
id: '83557'
last_name: Hemmrich
citation:
ama: 'Hemmrich S. A Design Theory for Blockchain-Based Reputation Systems : Trust
and Coordination in B2B Markets. Universität Paderborn; 2025. doi:https://doi.org/10.17619/UNIPB/1-2414'
apa: 'Hemmrich, S. (2025). A Design Theory for Blockchain-Based Reputation Systems :
Trust and Coordination in B2B Markets. Universität Paderborn. https://doi.org/10.17619/UNIPB/1-2414'
bibtex: '@book{Hemmrich_2025, place={Paderborn}, title={A Design Theory for Blockchain-Based
Reputation Systems : Trust and Coordination in B2B Markets}, DOI={https://doi.org/10.17619/UNIPB/1-2414},
publisher={Universität Paderborn}, author={Hemmrich, Simon}, year={2025} }'
chicago: 'Hemmrich, Simon. A Design Theory for Blockchain-Based Reputation Systems :
Trust and Coordination in B2B Markets. Paderborn: Universität Paderborn, 2025.
https://doi.org/10.17619/UNIPB/1-2414.'
ieee: 'S. Hemmrich, A Design Theory for Blockchain-Based Reputation Systems :
Trust and Coordination in B2B Markets. Paderborn: Universität Paderborn, 2025.'
mla: 'Hemmrich, Simon. A Design Theory for Blockchain-Based Reputation Systems :
Trust and Coordination in B2B Markets. Universität Paderborn, 2025, doi:https://doi.org/10.17619/UNIPB/1-2414.'
short: 'S. Hemmrich, A Design Theory for Blockchain-Based Reputation Systems : Trust
and Coordination in B2B Markets, Universität Paderborn, Paderborn, 2025.'
date_created: 2026-04-02T03:52:09Z
date_updated: 2026-04-02T04:31:57Z
department:
- _id: '195'
doi: https://doi.org/10.17619/UNIPB/1-2414
jel:
- D8
keyword:
- Reputation Systems
- Rating systems
- monetary ratings
- incentive mechanism
- systems theory
- Market coordination
- advanced review system
language:
- iso: eng
page: '347'
place: Paderborn
publication_status: published
publisher: Universität Paderborn
status: public
supervisor:
- first_name: Daniel
full_name: Beverungen, Daniel
last_name: Beverungen
- first_name: Dennis
full_name: Kundisch, Dennis
last_name: Kundisch
title: 'A Design Theory for Blockchain-Based Reputation Systems : Trust and Coordination
in B2B Markets'
type: dissertation
user_id: '83557'
year: '2025'
...
---
_id: '62284'
author:
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: Kundisch D. DFG fördert Forschungsprojekt - klare Wissensstrukturen in der
Wirtschaftsinformatik. Vol 3.; 2025:27-28.
apa: Kundisch, D. (2025). DFG fördert Forschungsprojekt - klare Wissensstrukturen
in der Wirtschaftsinformatik (Vol. 3, pp. 27–28).
bibtex: '@book{Kundisch_2025, series={Update - Das Magazin des SICP–Software Innovation
Campus Paderborn}, title={DFG fördert Forschungsprojekt - klare Wissensstrukturen
in der Wirtschaftsinformatik}, volume={3}, author={Kundisch, Dennis}, year={2025},
pages={27–28}, collection={Update - Das Magazin des SICP–Software Innovation Campus
Paderborn} }'
chicago: Kundisch, Dennis. DFG fördert Forschungsprojekt - klare Wissensstrukturen
in der Wirtschaftsinformatik. Vol. 3. Update - Das Magazin des SICP–Software
Innovation Campus Paderborn, 2025.
ieee: D. Kundisch, DFG fördert Forschungsprojekt - klare Wissensstrukturen in
der Wirtschaftsinformatik, vol. 3. 2025, pp. 27–28.
mla: Kundisch, Dennis. DFG fördert Forschungsprojekt - klare Wissensstrukturen
in der Wirtschaftsinformatik. 2025, pp. 27–28.
short: D. Kundisch, DFG fördert Forschungsprojekt - klare Wissensstrukturen in der
Wirtschaftsinformatik, 2025.
date_created: 2025-11-21T15:15:42Z
date_updated: 2026-05-20T10:07:44Z
department:
- _id: '276'
intvolume: ' 3'
language:
- iso: ger
page: 27 - 28
project:
- _id: '2486'
name: 'Hierarchische Taxonomien und Taxonomievisualisierung: Methodische Erweiterungen
für die Wirtschaftsinformatik'
publication_status: published
series_title: Update - Das Magazin des SICP–Software Innovation Campus Paderborn
status: public
title: DFG fördert Forschungsprojekt - klare Wissensstrukturen in der Wirtschaftsinformatik
type: working_paper
user_id: '16205'
volume: 3
year: '2025'
...
---
_id: '65784'
author:
- first_name: IIja
full_name: Nastjuk, IIja
last_name: Nastjuk
- first_name: Theresa
full_name: Pfaff, Theresa
last_name: Pfaff
- first_name: Monideepa
full_name: Tarafdar, Monideepa
last_name: Tarafdar
- first_name: Simon
full_name: Trang, Simon
last_name: Trang
citation:
ama: 'Nastjuk Ii, Pfaff T, Tarafdar M, Trang S. Technostress and interventions to
prevent it. In: Research Handbook on Psychosocial Conditions at Work. Edward
Elgar Publishing; 2025. doi:10.4337/9781035318636.00013'
apa: Nastjuk, Ii., Pfaff, T., Tarafdar, M., & Trang, S. (2025). Technostress
and interventions to prevent it. In Research Handbook on Psychosocial Conditions
at Work. Edward Elgar Publishing. https://doi.org/10.4337/9781035318636.00013
bibtex: '@inbook{Nastjuk_Pfaff_Tarafdar_Trang_2025, title={Technostress and interventions
to prevent it}, DOI={10.4337/9781035318636.00013},
booktitle={Research Handbook on Psychosocial Conditions at Work}, publisher={Edward
Elgar Publishing}, author={Nastjuk, IIja and Pfaff, Theresa and Tarafdar, Monideepa
and Trang, Simon}, year={2025} }'
chicago: Nastjuk, IIja, Theresa Pfaff, Monideepa Tarafdar, and Simon Trang. “Technostress
and Interventions to Prevent It.” In Research Handbook on Psychosocial Conditions
at Work. Edward Elgar Publishing, 2025. https://doi.org/10.4337/9781035318636.00013.
ieee: Ii. Nastjuk, T. Pfaff, M. Tarafdar, and S. Trang, “Technostress and interventions
to prevent it,” in Research Handbook on Psychosocial Conditions at Work,
Edward Elgar Publishing, 2025.
mla: Nastjuk, IIja, et al. “Technostress and Interventions to Prevent It.” Research
Handbook on Psychosocial Conditions at Work, Edward Elgar Publishing, 2025,
doi:10.4337/9781035318636.00013.
short: 'Ii. Nastjuk, T. Pfaff, M. Tarafdar, S. Trang, in: Research Handbook on Psychosocial
Conditions at Work, Edward Elgar Publishing, 2025.'
date_created: 2026-06-07T19:15:05Z
date_updated: 2026-06-07T19:15:14Z
department:
- _id: '792'
doi: 10.4337/9781035318636.00013
language:
- iso: eng
publication: Research Handbook on Psychosocial Conditions at Work
publication_identifier:
isbn:
- '9781035318636'
- '9781035318629'
- '9781035318636'
publication_status: published
publisher: Edward Elgar Publishing
status: public
title: Technostress and interventions to prevent it
type: book_chapter
user_id: '98948'
year: '2025'
...
---
_id: '58370'
article_number: '100178'
author:
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
orcid: 0000-0001-6679-0453
- first_name: Daniela
full_name: Guericke, Daniela
last_name: Guericke
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
citation:
ama: Burmeister SC, Guericke D, Schryen G. A two-level approach for multi-objective
flexible job shop scheduling and energy procurement. Cleaner Energy Systems.
2025;10(June). doi:10.1016/j.cles.2025.100178
apa: Burmeister, S. C., Guericke, D., & Schryen, G. (2025). A two-level approach
for multi-objective flexible job shop scheduling and energy procurement. Cleaner
Energy Systems, 10(June), Article 100178. https://doi.org/10.1016/j.cles.2025.100178
bibtex: '@article{Burmeister_Guericke_Schryen_2025, title={A two-level approach
for multi-objective flexible job shop scheduling and energy procurement}, volume={10},
DOI={10.1016/j.cles.2025.100178},
number={June100178}, journal={Cleaner Energy Systems}, publisher={Elsevier}, author={Burmeister,
Sascha Christian and Guericke, Daniela and Schryen, Guido}, year={2025} }'
chicago: Burmeister, Sascha Christian, Daniela Guericke, and Guido Schryen. “A Two-Level
Approach for Multi-Objective Flexible Job Shop Scheduling and Energy Procurement.”
Cleaner Energy Systems 10, no. June (2025). https://doi.org/10.1016/j.cles.2025.100178.
ieee: 'S. C. Burmeister, D. Guericke, and G. Schryen, “A two-level approach for
multi-objective flexible job shop scheduling and energy procurement,” Cleaner
Energy Systems, vol. 10, no. June, Art. no. 100178, 2025, doi: 10.1016/j.cles.2025.100178.'
mla: Burmeister, Sascha Christian, et al. “A Two-Level Approach for Multi-Objective
Flexible Job Shop Scheduling and Energy Procurement.” Cleaner Energy Systems,
vol. 10, no. June, 100178, Elsevier, 2025, doi:10.1016/j.cles.2025.100178.
short: S.C. Burmeister, D. Guericke, G. Schryen, Cleaner Energy Systems 10 (2025).
date_created: 2025-01-27T13:05:32Z
date_updated: 2026-06-13T06:33:28Z
ddc:
- '000'
department:
- _id: '277'
doi: 10.1016/j.cles.2025.100178
file:
- access_level: open_access
content_type: application/pdf
creator: saschab
date_created: 2025-01-27T13:03:28Z
date_updated: 2025-01-27T13:03:28Z
file_id: '58371'
file_name: CLES_A two-level approach for multi-objective flexible job shop scheduling
and energy procurement_preprint.pdf
file_size: 5979511
relation: main_file
file_date_updated: 2025-01-27T13:03:28Z
has_accepted_license: '1'
intvolume: ' 10'
issue: June
language:
- iso: eng
oa: '1'
publication: Cleaner Energy Systems
publisher: Elsevier
status: public
title: A two-level approach for multi-objective flexible job shop scheduling and energy
procurement
type: journal_article
user_id: '72850'
volume: 10
year: '2025'
...
---
_id: '58150'
article_number: '13'
author:
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Mauricio
full_name: Marrone, Mauricio
last_name: Marrone
- first_name: Jack
full_name: Yang, Jack
last_name: Yang
citation:
ama: Schryen G, Marrone M, Yang J. Exploring the Scope of Generative AI in Literature
Review Development. Electronic Markets. 2025;35.
apa: Schryen, G., Marrone, M., & Yang, J. (2025). Exploring the Scope of Generative
AI in Literature Review Development. Electronic Markets, 35, Article
13.
bibtex: '@article{Schryen_Marrone_Yang_2025, title={Exploring the Scope of Generative
AI in Literature Review Development}, volume={35}, number={13}, journal={Electronic
Markets}, author={Schryen, Guido and Marrone, Mauricio and Yang, Jack}, year={2025}
}'
chicago: Schryen, Guido, Mauricio Marrone, and Jack Yang. “Exploring the Scope of
Generative AI in Literature Review Development.” Electronic Markets 35
(2025).
ieee: G. Schryen, M. Marrone, and J. Yang, “Exploring the Scope of Generative AI
in Literature Review Development,” Electronic Markets, vol. 35, Art. no.
13, 2025.
mla: Schryen, Guido, et al. “Exploring the Scope of Generative AI in Literature
Review Development.” Electronic Markets, vol. 35, 13, 2025.
short: G. Schryen, M. Marrone, J. Yang, Electronic Markets 35 (2025).
date_created: 2025-01-10T15:13:23Z
date_updated: 2026-06-13T06:32:44Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2025-01-10T16:50:54Z
date_updated: 2025-01-10T16:50:54Z
file_id: '58152'
file_name: Electronic Markets - Exploring the Scope of Generative AI in Literature
Review Development - Preprint.pdf
file_size: 4950416
relation: main_file
file_date_updated: 2025-01-10T16:50:54Z
has_accepted_license: '1'
intvolume: ' 35'
language:
- iso: eng
oa: '1'
publication: Electronic Markets
status: public
title: Exploring the Scope of Generative AI in Literature Review Development
type: journal_article
user_id: '72850'
volume: 35
year: '2025'
...
---
_id: '50301'
author:
- first_name: Guido
full_name: Schryen, Guido
last_name: Schryen
citation:
ama: 'Schryen G. Speedup and efficiency of computational parallelization: A unifying
approach and asymptotic analysis. Journal of Parallel and Distributed Computing.
Published online 2024.'
apa: 'Schryen, G. (2024). Speedup and efficiency of computational parallelization:
A unifying approach and asymptotic analysis. Journal of Parallel and Distributed
Computing.'
bibtex: '@article{Schryen_2024, title={Speedup and efficiency of computational parallelization:
A unifying approach and asymptotic analysis}, journal={Journal of Parallel and
Distributed Computing}, author={Schryen, Guido}, year={2024} }'
chicago: 'Schryen, Guido. “Speedup and Efficiency of Computational Parallelization:
A Unifying Approach and Asymptotic Analysis.” Journal of Parallel and Distributed
Computing, 2024.'
ieee: 'G. Schryen, “Speedup and efficiency of computational parallelization: A unifying
approach and asymptotic analysis,” Journal of Parallel and Distributed Computing,
2024.'
mla: 'Schryen, Guido. “Speedup and Efficiency of Computational Parallelization:
A Unifying Approach and Asymptotic Analysis.” Journal of Parallel and Distributed
Computing, 2024.'
short: G. Schryen, Journal of Parallel and Distributed Computing (2024).
date_created: 2024-01-09T10:40:44Z
date_updated: 2024-01-09T10:40:55Z
ddc:
- '000'
department:
- _id: '277'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2024-01-09T10:39:33Z
date_updated: 2024-01-09T10:39:33Z
file_id: '50375'
file_name: ParallelScalabilityAnalysis__Preprint.pdf
file_size: 989773
relation: main_file
file_date_updated: 2024-01-09T10:39:33Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: Journal of Parallel and Distributed Computing
status: public
title: 'Speedup and efficiency of computational parallelization: A unifying approach
and asymptotic analysis'
type: journal_article
user_id: '51811'
year: '2024'
...
---
_id: '52092'
author:
- first_name: Miriam
full_name: Stumpe, Miriam
id: '64135'
last_name: Stumpe
citation:
ama: Stumpe M. A new mathematical formulation for the simultaneous optimization
of charging infrastructure and vehicle schedules for electric bus systems. Transportation
Research Procedia. 2024;78:402-409. doi:10.1016/j.trpro.2024.02.051
apa: Stumpe, M. (2024). A new mathematical formulation for the simultaneous optimization
of charging infrastructure and vehicle schedules for electric bus systems. Transportation
Research Procedia, 78, 402–409. https://doi.org/10.1016/j.trpro.2024.02.051
bibtex: '@article{Stumpe_2024, title={A new mathematical formulation for the simultaneous
optimization of charging infrastructure and vehicle schedules for electric bus
systems}, volume={78}, DOI={10.1016/j.trpro.2024.02.051},
journal={Transportation Research Procedia}, publisher={Elsevier BV}, author={Stumpe,
Miriam}, year={2024}, pages={402–409} }'
chicago: 'Stumpe, Miriam. “A New Mathematical Formulation for the Simultaneous Optimization
of Charging Infrastructure and Vehicle Schedules for Electric Bus Systems.” Transportation
Research Procedia 78 (2024): 402–9. https://doi.org/10.1016/j.trpro.2024.02.051.'
ieee: 'M. Stumpe, “A new mathematical formulation for the simultaneous optimization
of charging infrastructure and vehicle schedules for electric bus systems,” Transportation
Research Procedia, vol. 78, pp. 402–409, 2024, doi: 10.1016/j.trpro.2024.02.051.'
mla: Stumpe, Miriam. “A New Mathematical Formulation for the Simultaneous Optimization
of Charging Infrastructure and Vehicle Schedules for Electric Bus Systems.” Transportation
Research Procedia, vol. 78, Elsevier BV, 2024, pp. 402–09, doi:10.1016/j.trpro.2024.02.051.
short: M. Stumpe, Transportation Research Procedia 78 (2024) 402–409.
date_created: 2024-02-27T09:25:12Z
date_updated: 2024-02-27T11:29:37Z
department:
- _id: '277'
doi: 10.1016/j.trpro.2024.02.051
intvolume: ' 78'
language:
- iso: eng
page: 402-409
publication: Transportation Research Procedia
publication_identifier:
issn:
- 2352-1465
publication_status: published
publisher: Elsevier BV
status: public
title: A new mathematical formulation for the simultaneous optimization of charging
infrastructure and vehicle schedules for electric bus systems
type: journal_article
user_id: '51811'
volume: 78
year: '2024'
...
---
_id: '48640'
abstract:
- lang: eng
text: "Das Herausgeberwerk präsentiert aktuelle Forschungsergebnisse und praktische
Erkenntnisse aus dem Bereich von digitalen Plattformen und Ökosystemen im Business-to-Business-Kontext.
Dabei liegt der Schwerpunkt auf empirischen und konzeptionellen Beiträgen. Neben
Grundlagen, Enablern und Fallstudien werden ebenso mögliche Vorgehensweisen zur
Entwicklung von Plattformen behandelt. \r\n\r\nPraktikerinnen und Praktiker aus
den Bereichen Management, Strategische Planung und Business Development erhalten
Impulse, um Digitale Plattformen und Ökosysteme erfolgreich voranzutreiben und
so Potenziale innerhalb ihres Unternehmens zu realisieren. \r\n\r\nForschende,
Lehrende und Studierende aus den Bereichen Digitale Plattformen und Ökosysteme
aus dem Business-to-Business-Kontext dienen die Beiträge als Anregung für intensive
Diskussionen."
citation:
ama: Schallmo DRA, Kundisch D, Lang K, Hasler D, eds. Digitale Plattformen und
Ökosysteme im B2B-Bereich - Fallstudien, Ansätze, Technologien und Tools.
Springer Gabler; 2024.
apa: Schallmo, D. R. A., Kundisch, D., Lang, K., & Hasler, D. (Eds.). (2024).
Digitale Plattformen und Ökosysteme im B2B-Bereich - Fallstudien, Ansätze,
Technologien und Tools. Springer Gabler.
bibtex: '@book{Schallmo_Kundisch_Lang_Hasler_2024, place={Wiesbaden}, title={Digitale
Plattformen und Ökosysteme im B2B-Bereich - Fallstudien, Ansätze, Technologien
und Tools}, publisher={Springer Gabler}, year={2024} }'
chicago: 'Schallmo, Daniel R. A., Dennis Kundisch, Klaus Lang, and Daniel Hasler,
eds. Digitale Plattformen und Ökosysteme im B2B-Bereich - Fallstudien, Ansätze,
Technologien und Tools. Wiesbaden: Springer Gabler, 2024.'
ieee: 'D. R. A. Schallmo, D. Kundisch, K. Lang, and D. Hasler, Eds., Digitale
Plattformen und Ökosysteme im B2B-Bereich - Fallstudien, Ansätze, Technologien
und Tools. Wiesbaden: Springer Gabler, 2024.'
mla: Schallmo, Daniel R. A., et al., editors. Digitale Plattformen und Ökosysteme
im B2B-Bereich - Fallstudien, Ansätze, Technologien und Tools. Springer Gabler,
2024.
short: D.R.A. Schallmo, D. Kundisch, K. Lang, D. Hasler, eds., Digitale Plattformen
und Ökosysteme im B2B-Bereich - Fallstudien, Ansätze, Technologien und Tools,
Springer Gabler, Wiesbaden, 2024.
date_created: 2023-11-07T10:20:00Z
date_updated: 2024-04-02T11:45:30Z
department:
- _id: '276'
editor:
- first_name: Daniel R. A.
full_name: Schallmo, Daniel R. A.
last_name: Schallmo
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: Klaus
full_name: Lang, Klaus
last_name: Lang
- first_name: Daniel
full_name: Hasler, Daniel
last_name: Hasler
language:
- iso: ger
page: '288'
place: Wiesbaden
publication_identifier:
isbn:
- 978-3-658-43129-7
publication_status: published
publisher: Springer Gabler
status: public
title: Digitale Plattformen und Ökosysteme im B2B-Bereich - Fallstudien, Ansätze,
Technologien und Tools
type: book_editor
user_id: '16205'
year: '2024'
...
---
_id: '53130'
author:
- first_name: Miriam
full_name: Stumpe, Miriam
id: '64135'
last_name: Stumpe
- first_name: Peter
full_name: Dieter, Peter
id: '88592'
last_name: Dieter
- first_name: Guido
full_name: Schryen, Guido
id: '72850'
last_name: Schryen
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'Stumpe M, Dieter P, Schryen G, Müller O, Beverungen D. Designing taxi ridesharing
systems with shared pick-up and drop-off locations: Insights from a computational
study. Transportation Research Part A: Policy and Practice. Published online
2024.'
apa: 'Stumpe, M., Dieter, P., Schryen, G., Müller, O., & Beverungen, D. (2024).
Designing taxi ridesharing systems with shared pick-up and drop-off locations:
Insights from a computational study. Transportation Research Part A: Policy
and Practice.'
bibtex: '@article{Stumpe_Dieter_Schryen_Müller_Beverungen_2024, title={Designing
taxi ridesharing systems with shared pick-up and drop-off locations: Insights
from a computational study}, journal={Transportation Research Part A: Policy and
Practice}, author={Stumpe, Miriam and Dieter, Peter and Schryen, Guido and Müller,
Oliver and Beverungen, Daniel}, year={2024} }'
chicago: 'Stumpe, Miriam, Peter Dieter, Guido Schryen, Oliver Müller, and Daniel
Beverungen. “Designing Taxi Ridesharing Systems with Shared Pick-up and Drop-off
Locations: Insights from a Computational Study.” Transportation Research Part
A: Policy and Practice, 2024.'
ieee: 'M. Stumpe, P. Dieter, G. Schryen, O. Müller, and D. Beverungen, “Designing
taxi ridesharing systems with shared pick-up and drop-off locations: Insights
from a computational study,” Transportation Research Part A: Policy and Practice,
2024.'
mla: 'Stumpe, Miriam, et al. “Designing Taxi Ridesharing Systems with Shared Pick-up
and Drop-off Locations: Insights from a Computational Study.” Transportation
Research Part A: Policy and Practice, 2024.'
short: 'M. Stumpe, P. Dieter, G. Schryen, O. Müller, D. Beverungen, Transportation
Research Part A: Policy and Practice (2024).'
date_created: 2024-04-02T12:10:56Z
date_updated: 2024-04-02T12:29:47Z
ddc:
- '000'
department:
- _id: '277'
- _id: '526'
- _id: '196'
file:
- access_level: open_access
content_type: application/pdf
creator: mateskam
date_created: 2024-04-02T12:10:18Z
date_updated: 2024-04-02T12:10:18Z
file_id: '53131'
file_name: Designing_TRS-systems_Final.pdf
file_size: 835032
relation: main_file
file_date_updated: 2024-04-02T12:10:18Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
publication: 'Transportation Research Part A: Policy and Practice'
status: public
title: 'Designing taxi ridesharing systems with shared pick-up and drop-off locations:
Insights from a computational study'
type: journal_article
user_id: '51811'
year: '2024'
...
---
_id: '53277'
author:
- first_name: Christian
full_name: Vorbohle, Christian
id: '29951'
last_name: Vorbohle
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: Vorbohle C, Kundisch D. Leveraging Business Modeling Tools For Ecosystemic
Business Model Design. Journal of Business Models. 2024;12(1):100-112.
apa: Vorbohle, C., & Kundisch, D. (2024). Leveraging Business Modeling Tools
For Ecosystemic Business Model Design. Journal of Business Models, 12(1),
100–112.
bibtex: '@article{Vorbohle_Kundisch_2024, title={Leveraging Business Modeling Tools
For Ecosystemic Business Model Design}, volume={12}, number={1}, journal={Journal
of Business Models}, author={Vorbohle, Christian and Kundisch, Dennis}, year={2024},
pages={100–112} }'
chicago: 'Vorbohle, Christian, and Dennis Kundisch. “Leveraging Business Modeling
Tools For Ecosystemic Business Model Design.” Journal of Business Models
12, no. 1 (2024): 100–112.'
ieee: C. Vorbohle and D. Kundisch, “Leveraging Business Modeling Tools For Ecosystemic
Business Model Design,” Journal of Business Models, vol. 12, no. 1, pp.
100–112, 2024.
mla: Vorbohle, Christian, and Dennis Kundisch. “Leveraging Business Modeling Tools
For Ecosystemic Business Model Design.” Journal of Business Models, vol.
12, no. 1, 2024, pp. 100–12.
short: C. Vorbohle, D. Kundisch, Journal of Business Models 12 (2024) 100–112.
date_created: 2024-04-05T09:09:56Z
date_updated: 2024-04-05T09:10:01Z
department:
- _id: '276'
intvolume: ' 12'
issue: '1'
language:
- iso: eng
page: 100-112
publication: Journal of Business Models
publication_status: published
status: public
title: Leveraging Business Modeling Tools For Ecosystemic Business Model Design
type: journal_article
user_id: '16205'
volume: 12
year: '2024'
...
---
_id: '37704'
author:
- first_name: Christoph
full_name: Ksouri-Gerwien, Christoph
last_name: Ksouri-Gerwien
- first_name: Christian
full_name: Vorbohle, Christian
id: '29951'
last_name: Vorbohle
citation:
ama: 'Ksouri-Gerwien C, Vorbohle C. Anwendung von System Dynamics zur Geschäftsmodellinnovation
in einem B2B-Ökosystem. In: Schallmo DRA, Kundisch D, Lang K, eds. Digitale
Plattformen und Ökosysteme im B2B-Bereich. Springer Gabler; 2024.'
apa: Ksouri-Gerwien, C., & Vorbohle, C. (2024). Anwendung von System Dynamics
zur Geschäftsmodellinnovation in einem B2B-Ökosystem. In D. R. A. Schallmo, D.
Kundisch, & K. Lang (Eds.), Digitale Plattformen und Ökosysteme im B2B-Bereich.
Springer Gabler.
bibtex: '@inbook{Ksouri-Gerwien_Vorbohle_2024, place={Wiesbaden}, title={Anwendung
von System Dynamics zur Geschäftsmodellinnovation in einem B2B-Ökosystem}, booktitle={Digitale
Plattformen und Ökosysteme im B2B-Bereich}, publisher={Springer Gabler}, author={Ksouri-Gerwien,
Christoph and Vorbohle, Christian}, editor={Schallmo, D.R.A. and Kundisch, Dennis
and Lang, K.}, year={2024} }'
chicago: 'Ksouri-Gerwien, Christoph, and Christian Vorbohle. “Anwendung von System
Dynamics zur Geschäftsmodellinnovation in einem B2B-Ökosystem.” In Digitale
Plattformen und Ökosysteme im B2B-Bereich, edited by D.R.A. Schallmo, Dennis
Kundisch, and K. Lang. Wiesbaden: Springer Gabler, 2024.'
ieee: 'C. Ksouri-Gerwien and C. Vorbohle, “Anwendung von System Dynamics zur Geschäftsmodellinnovation
in einem B2B-Ökosystem,” in Digitale Plattformen und Ökosysteme im B2B-Bereich,
D. R. A. Schallmo, D. Kundisch, and K. Lang, Eds. Wiesbaden: Springer Gabler,
2024.'
mla: Ksouri-Gerwien, Christoph, and Christian Vorbohle. “Anwendung von System Dynamics
zur Geschäftsmodellinnovation in einem B2B-Ökosystem.” Digitale Plattformen
und Ökosysteme im B2B-Bereich, edited by D.R.A. Schallmo et al., Springer
Gabler, 2024.
short: 'C. Ksouri-Gerwien, C. Vorbohle, in: D.R.A. Schallmo, D. Kundisch, K. Lang
(Eds.), Digitale Plattformen und Ökosysteme im B2B-Bereich, Springer Gabler, Wiesbaden,
2024.'
date_created: 2023-01-20T10:57:37Z
date_updated: 2024-04-05T09:31:10Z
department:
- _id: '276'
editor:
- first_name: D.R.A.
full_name: Schallmo, D.R.A.
last_name: Schallmo
- first_name: Dennis
full_name: Kundisch, Dennis
last_name: Kundisch
- first_name: K.
full_name: Lang, K.
last_name: Lang
language:
- iso: ger
place: Wiesbaden
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901'
- _id: '4'
name: 'SFB 901 - C: SFB 901 - Project Area C'
- _id: '17'
name: 'SFB 901 - C5: SFB 901 - Subproject C5'
publication: Digitale Plattformen und Ökosysteme im B2B-Bereich
publisher: Springer Gabler
status: public
title: Anwendung von System Dynamics zur Geschäftsmodellinnovation in einem B2B-Ökosystem
type: book_chapter
user_id: '29951'
year: '2024'
...
---
_id: '53213'
article_number: '101027'
author:
- first_name: Arman
full_name: Amiri, Arman
last_name: Amiri
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Hosein
full_name: Arman, Hosein
last_name: Arman
citation:
ama: Amiri A, Tavana M, Arman H. An Integrated Fuzzy Analytic Network Process and
Fuzzy Regression Method for Bitcoin Price Prediction. Internet of Things.
2024;25. doi:10.1016/j.iot.2023.101027
apa: Amiri, A., Tavana, M., & Arman, H. (2024). An Integrated Fuzzy Analytic
Network Process and Fuzzy Regression Method for Bitcoin Price Prediction. Internet
of Things, 25, Article 101027. https://doi.org/10.1016/j.iot.2023.101027
bibtex: '@article{Amiri_Tavana_Arman_2024, title={An Integrated Fuzzy Analytic Network
Process and Fuzzy Regression Method for Bitcoin Price Prediction}, volume={25},
DOI={10.1016/j.iot.2023.101027},
number={101027}, journal={Internet of Things}, publisher={Elsevier BV}, author={Amiri,
Arman and Tavana, Madjid and Arman, Hosein}, year={2024} }'
chicago: Amiri, Arman, Madjid Tavana, and Hosein Arman. “An Integrated Fuzzy Analytic
Network Process and Fuzzy Regression Method for Bitcoin Price Prediction.” Internet
of Things 25 (2024). https://doi.org/10.1016/j.iot.2023.101027.
ieee: 'A. Amiri, M. Tavana, and H. Arman, “An Integrated Fuzzy Analytic Network
Process and Fuzzy Regression Method for Bitcoin Price Prediction,” Internet
of Things, vol. 25, Art. no. 101027, 2024, doi: 10.1016/j.iot.2023.101027.'
mla: Amiri, Arman, et al. “An Integrated Fuzzy Analytic Network Process and Fuzzy
Regression Method for Bitcoin Price Prediction.” Internet of Things, vol.
25, 101027, Elsevier BV, 2024, doi:10.1016/j.iot.2023.101027.
short: A. Amiri, M. Tavana, H. Arman, Internet of Things 25 (2024).
date_created: 2024-04-04T13:34:26Z
date_updated: 2024-04-15T13:08:17Z
department:
- _id: '277'
doi: 10.1016/j.iot.2023.101027
intvolume: ' 25'
keyword:
- Management of Technology and Innovation
- Artificial Intelligence
- Computer Science Applications
- Hardware and Architecture
- Engineering (miscellaneous)
- Information Systems
- Computer Science (miscellaneous)
- Software
language:
- iso: eng
publication: Internet of Things
publication_identifier:
issn:
- 2542-6605
publication_status: published
publisher: Elsevier BV
status: public
title: An Integrated Fuzzy Analytic Network Process and Fuzzy Regression Method for
Bitcoin Price Prediction
type: journal_article
user_id: '51811'
volume: 25
year: '2024'
...
---
_id: '53212'
author:
- first_name: Ehsan
full_name: Mahmoodi, Ehsan
last_name: Mahmoodi
- first_name: Masood
full_name: Fathi, Masood
last_name: Fathi
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Morteza
full_name: Ghobakhloo, Morteza
last_name: Ghobakhloo
- first_name: Amos H.C.
full_name: Ng, Amos H.C.
last_name: Ng
citation:
ama: Mahmoodi E, Fathi M, Tavana M, Ghobakhloo M, Ng AHC. Data-driven simulation-based
decision support system for resource allocation in industry 4.0 and smart manufacturing.
Journal of Manufacturing Systems. 2024;72:287-307. doi:10.1016/j.jmsy.2023.11.019
apa: Mahmoodi, E., Fathi, M., Tavana, M., Ghobakhloo, M., & Ng, A. H. C. (2024).
Data-driven simulation-based decision support system for resource allocation in
industry 4.0 and smart manufacturing. Journal of Manufacturing Systems,
72, 287–307. https://doi.org/10.1016/j.jmsy.2023.11.019
bibtex: '@article{Mahmoodi_Fathi_Tavana_Ghobakhloo_Ng_2024, title={Data-driven simulation-based
decision support system for resource allocation in industry 4.0 and smart manufacturing},
volume={72}, DOI={10.1016/j.jmsy.2023.11.019},
journal={Journal of Manufacturing Systems}, publisher={Elsevier BV}, author={Mahmoodi,
Ehsan and Fathi, Masood and Tavana, Madjid and Ghobakhloo, Morteza and Ng, Amos
H.C.}, year={2024}, pages={287–307} }'
chicago: 'Mahmoodi, Ehsan, Masood Fathi, Madjid Tavana, Morteza Ghobakhloo, and
Amos H.C. Ng. “Data-Driven Simulation-Based Decision Support System for Resource
Allocation in Industry 4.0 and Smart Manufacturing.” Journal of Manufacturing
Systems 72 (2024): 287–307. https://doi.org/10.1016/j.jmsy.2023.11.019.'
ieee: 'E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, and A. H. C. Ng, “Data-driven
simulation-based decision support system for resource allocation in industry 4.0
and smart manufacturing,” Journal of Manufacturing Systems, vol. 72, pp.
287–307, 2024, doi: 10.1016/j.jmsy.2023.11.019.'
mla: Mahmoodi, Ehsan, et al. “Data-Driven Simulation-Based Decision Support System
for Resource Allocation in Industry 4.0 and Smart Manufacturing.” Journal of
Manufacturing Systems, vol. 72, Elsevier BV, 2024, pp. 287–307, doi:10.1016/j.jmsy.2023.11.019.
short: E. Mahmoodi, M. Fathi, M. Tavana, M. Ghobakhloo, A.H.C. Ng, Journal of Manufacturing
Systems 72 (2024) 287–307.
date_created: 2024-04-04T13:33:48Z
date_updated: 2024-04-15T13:08:02Z
department:
- _id: '277'
doi: 10.1016/j.jmsy.2023.11.019
intvolume: ' 72'
keyword:
- Industrial and Manufacturing Engineering
- Hardware and Architecture
- Software
- Control and Systems Engineering
language:
- iso: eng
page: 287-307
publication: Journal of Manufacturing Systems
publication_identifier:
issn:
- 0278-6125
publication_status: published
publisher: Elsevier BV
status: public
title: Data-driven simulation-based decision support system for resource allocation
in industry 4.0 and smart manufacturing
type: journal_article
user_id: '51811'
volume: 72
year: '2024'
...
---
_id: '53205'
article_number: '111098'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Shahryar
full_name: Sorooshian, Shahryar
last_name: Sorooshian
citation:
ama: Tavana M, Sorooshian S. A systematic review of the soft computing methods shaping
the future of the metaverse. Applied Soft Computing. 2024;150. doi:10.1016/j.asoc.2023.111098
apa: Tavana, M., & Sorooshian, S. (2024). A systematic review of the soft computing
methods shaping the future of the metaverse. Applied Soft Computing, 150,
Article 111098. https://doi.org/10.1016/j.asoc.2023.111098
bibtex: '@article{Tavana_Sorooshian_2024, title={A systematic review of the soft
computing methods shaping the future of the metaverse}, volume={150}, DOI={10.1016/j.asoc.2023.111098},
number={111098}, journal={Applied Soft Computing}, publisher={Elsevier BV}, author={Tavana,
Madjid and Sorooshian, Shahryar}, year={2024} }'
chicago: Tavana, Madjid, and Shahryar Sorooshian. “A Systematic Review of the Soft
Computing Methods Shaping the Future of the Metaverse.” Applied Soft Computing
150 (2024). https://doi.org/10.1016/j.asoc.2023.111098.
ieee: 'M. Tavana and S. Sorooshian, “A systematic review of the soft computing methods
shaping the future of the metaverse,” Applied Soft Computing, vol. 150,
Art. no. 111098, 2024, doi: 10.1016/j.asoc.2023.111098.'
mla: Tavana, Madjid, and Shahryar Sorooshian. “A Systematic Review of the Soft Computing
Methods Shaping the Future of the Metaverse.” Applied Soft Computing, vol.
150, 111098, Elsevier BV, 2024, doi:10.1016/j.asoc.2023.111098.
short: M. Tavana, S. Sorooshian, Applied Soft Computing 150 (2024).
date_created: 2024-04-04T12:00:22Z
date_updated: 2024-04-15T13:07:49Z
department:
- _id: '277'
doi: 10.1016/j.asoc.2023.111098
intvolume: ' 150'
keyword:
- Software
language:
- iso: eng
publication: Applied Soft Computing
publication_identifier:
issn:
- 1568-4946
publication_status: published
publisher: Elsevier BV
status: public
title: A systematic review of the soft computing methods shaping the future of the
metaverse
type: journal_article
user_id: '51811'
volume: 150
year: '2024'
...