---
_id: '57651'
author:
- first_name: Jens Peter
full_name: Kempkes, Jens Peter
last_name: Kempkes
- first_name: Katharina
full_name: Kreuzhage, Katharina
last_name: Kreuzhage
- first_name: Dennis
full_name: Kundisch, Dennis
last_name: Kundisch
- first_name: Janina
full_name: Seutter, Janina
last_name: Seutter
- first_name: Christoph
full_name: Weskamp, Christoph
last_name: Weskamp
citation:
ama: 'Kempkes JP, Kreuzhage K, Kundisch D, Seutter J, Weskamp C. Digitale Transformation
im Theater. In: Theatercontrolling. Springer Fachmedien Wiesbaden; 2024:121-129.
doi:10.1007/978-3-658-44984-1_10'
apa: Kempkes, J. P., Kreuzhage, K., Kundisch, D., Seutter, J., & Weskamp, C.
(2024). Digitale Transformation im Theater. In Theatercontrolling (pp.
121–129). Springer Fachmedien Wiesbaden. https://doi.org/10.1007/978-3-658-44984-1_10
bibtex: '@inbook{Kempkes_Kreuzhage_Kundisch_Seutter_Weskamp_2024, place={Wiesbaden},
title={Digitale Transformation im Theater}, DOI={10.1007/978-3-658-44984-1_10},
booktitle={Theatercontrolling}, publisher={Springer Fachmedien Wiesbaden}, author={Kempkes,
Jens Peter and Kreuzhage, Katharina and Kundisch, Dennis and Seutter, Janina and
Weskamp, Christoph}, year={2024}, pages={121–129} }'
chicago: 'Kempkes, Jens Peter, Katharina Kreuzhage, Dennis Kundisch, Janina Seutter,
and Christoph Weskamp. “Digitale Transformation im Theater.” In Theatercontrolling,
121–29. Wiesbaden: Springer Fachmedien Wiesbaden, 2024. https://doi.org/10.1007/978-3-658-44984-1_10.'
ieee: 'J. P. Kempkes, K. Kreuzhage, D. Kundisch, J. Seutter, and C. Weskamp, “Digitale
Transformation im Theater,” in Theatercontrolling, Wiesbaden: Springer
Fachmedien Wiesbaden, 2024, pp. 121–129.'
mla: Kempkes, Jens Peter, et al. “Digitale Transformation im Theater.” Theatercontrolling,
Springer Fachmedien Wiesbaden, 2024, pp. 121–29, doi:10.1007/978-3-658-44984-1_10.
short: 'J.P. Kempkes, K. Kreuzhage, D. Kundisch, J. Seutter, C. Weskamp, in: Theatercontrolling,
Springer Fachmedien Wiesbaden, Wiesbaden, 2024, pp. 121–129.'
date_created: 2024-12-09T09:25:21Z
date_updated: 2024-12-09T09:36:36Z
department:
- _id: '276'
doi: 10.1007/978-3-658-44984-1_10
language:
- iso: ger
page: 121 - 129
place: Wiesbaden
publication: Theatercontrolling
publication_identifier:
isbn:
- '9783658449834'
- '9783658449841'
publication_status: published
publisher: Springer Fachmedien Wiesbaden
status: public
title: Digitale Transformation im Theater
type: book_chapter
user_id: '16205'
year: '2024'
...
---
_id: '47424'
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 Memetic NSGA-II for the Multi-Objective
Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs. Flexible
Services and Manufacturing Journal. Published online 2024.
apa: Burmeister, S. C., Guericke, D., & Schryen, G. (2024). A Memetic NSGA-II
for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy
Tariffs. Flexible Services and Manufacturing Journal.
bibtex: '@article{Burmeister_Guericke_Schryen_2024, title={A Memetic NSGA-II for
the Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy
Tariffs}, journal={Flexible Services and Manufacturing Journal}, author={Burmeister,
Sascha Christian and Guericke, Daniela and Schryen, Guido}, year={2024} }'
chicago: Burmeister, Sascha Christian, Daniela Guericke, and Guido Schryen. “A Memetic
NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem with Real-Time
Energy Tariffs.” Flexible Services and Manufacturing Journal, 2024.
ieee: S. C. Burmeister, D. Guericke, and G. Schryen, “A Memetic NSGA-II for the
Multi-Objective Flexible Job Shop Scheduling Problem with Real-time Energy Tariffs,”
Flexible Services and Manufacturing Journal, 2024.
mla: Burmeister, Sascha Christian, et al. “A Memetic NSGA-II for the Multi-Objective
Flexible Job Shop Scheduling Problem with Real-Time Energy Tariffs.” Flexible
Services and Manufacturing Journal, 2024.
short: S.C. Burmeister, D. Guericke, G. Schryen, Flexible Services and Manufacturing
Journal (2024).
date_created: 2023-09-26T06:25:22Z
date_updated: 2026-04-27T09:12:58Z
department:
- _id: '277'
language:
- iso: eng
publication: Flexible Services and Manufacturing Journal
status: public
title: A Memetic NSGA-II for the Multi-Objective Flexible Job Shop Scheduling Problem
with Real-time Energy Tariffs
type: journal_article
user_id: '51811'
year: '2024'
...
---
_id: '35852'
author:
- first_name: Jürgen
full_name: Neumann, Jürgen
id: '32456'
last_name: Neumann
- first_name: Dominik
full_name: Gutt, Dominik
id: '14368'
last_name: Gutt
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: 'Neumann J, Gutt D, Kundisch D. Reviewing from a Distance: Uncovering Asymmetric
Moderations of Spatial and Temporal Distances Between Sentiment Negativity and
Rating. MIS Quarterly. 2023;47(4):1709-1726.'
apa: 'Neumann, J., Gutt, D., & Kundisch, D. (2023). Reviewing from a Distance:
Uncovering Asymmetric Moderations of Spatial and Temporal Distances Between Sentiment
Negativity and Rating. MIS Quarterly, 47(4), 1709–1726.'
bibtex: '@article{Neumann_Gutt_Kundisch_2023, title={Reviewing from a Distance:
Uncovering Asymmetric Moderations of Spatial and Temporal Distances Between Sentiment
Negativity and Rating}, volume={47}, number={4}, journal={MIS Quarterly}, author={Neumann,
Jürgen and Gutt, Dominik and Kundisch, Dennis}, year={2023}, pages={1709–1726}
}'
chicago: 'Neumann, Jürgen, Dominik Gutt, and Dennis Kundisch. “Reviewing from a
Distance: Uncovering Asymmetric Moderations of Spatial and Temporal Distances
Between Sentiment Negativity and Rating.” MIS Quarterly 47, no. 4 (2023):
1709–26.'
ieee: 'J. Neumann, D. Gutt, and D. Kundisch, “Reviewing from a Distance: Uncovering
Asymmetric Moderations of Spatial and Temporal Distances Between Sentiment Negativity
and Rating,” MIS Quarterly, vol. 47, no. 4, pp. 1709–1726, 2023.'
mla: 'Neumann, Jürgen, et al. “Reviewing from a Distance: Uncovering Asymmetric
Moderations of Spatial and Temporal Distances Between Sentiment Negativity and
Rating.” MIS Quarterly, vol. 47, no. 4, 2023, pp. 1709–26.'
short: J. Neumann, D. Gutt, D. Kundisch, MIS Quarterly 47 (2023) 1709–1726.
date_created: 2023-01-10T13:22:26Z
date_updated: 2023-12-04T10:12:43Z
department:
- _id: '276'
intvolume: ' 47'
issue: '4'
language:
- iso: eng
page: 1709-1726
project:
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901'
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Subproject A4'
publication: MIS Quarterly
publication_status: published
status: public
title: 'Reviewing from a Distance: Uncovering Asymmetric Moderations of Spatial and
Temporal Distances Between Sentiment Negativity and Rating'
type: journal_article
user_id: '16205'
volume: 47
year: '2023'
...
---
_id: '37312'
abstract:
- lang: eng
text: Optimal decision making requires appropriate evaluation of advice. Recent
literature reports that algorithm aversion reduces the effectiveness of predictive
algorithms. However, it remains unclear how people recover from bad advice given
by an otherwise good advisor. Previous work has focused on algorithm aversion
at a single time point. We extend this work by examining successive decisions
in a time series forecasting task using an online between-subjects experiment
(N = 87). Our empirical results do not confirm algorithm aversion immediately
after bad advice. The estimated effect suggests an increasing algorithm appreciation
over time. Our work extends the current knowledge on algorithm aversion with insights
into how weight on advice is adjusted over consecutive tasks. Since most forecasting
tasks are not one-off decisions, this also has implications for practitioners.
author:
- first_name: Dirk
full_name: Leffrang, Dirk
id: '51271'
last_name: Leffrang
orcid: 0000-0001-9004-2391
- first_name: Kevin
full_name: Bösch, Kevin
last_name: Bösch
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Leffrang D, Bösch K, Müller O. Do People Recover from Algorithm Aversion?
An Experimental Study of Algorithm Aversion over Time. In: Hawaii International
Conference on System Sciences. ; 2023.'
apa: Leffrang, D., Bösch, K., & Müller, O. (2023). Do People Recover from Algorithm
Aversion? An Experimental Study of Algorithm Aversion over Time. Hawaii International
Conference on System Sciences. Hawaii International Conference on System Sciences.
bibtex: '@inproceedings{Leffrang_Bösch_Müller_2023, title={Do People Recover from
Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time}, booktitle={Hawaii
International Conference on System Sciences}, author={Leffrang, Dirk and Bösch,
Kevin and Müller, Oliver}, year={2023} }'
chicago: Leffrang, Dirk, Kevin Bösch, and Oliver Müller. “Do People Recover from
Algorithm Aversion? An Experimental Study of Algorithm Aversion over Time.” In
Hawaii International Conference on System Sciences, 2023.
ieee: D. Leffrang, K. Bösch, and O. Müller, “Do People Recover from Algorithm Aversion?
An Experimental Study of Algorithm Aversion over Time,” presented at the Hawaii
International Conference on System Sciences, 2023.
mla: Leffrang, Dirk, et al. “Do People Recover from Algorithm Aversion? An Experimental
Study of Algorithm Aversion over Time.” Hawaii International Conference on
System Sciences, 2023.
short: 'D. Leffrang, K. Bösch, O. Müller, in: Hawaii International Conference on
System Sciences, 2023.'
conference:
name: Hawaii International Conference on System Sciences
date_created: 2023-01-18T10:53:51Z
date_updated: 2024-01-10T09:52:59Z
department:
- _id: '196'
keyword:
- Algorithm aversion
- Time series
- Decision making
- Advice taking
- Forecasting
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/items/62b58ddc-895c-48c3-8194-522a1758a26f
oa: '1'
publication: Hawaii International Conference on System Sciences
status: public
title: Do People Recover from Algorithm Aversion? An Experimental Study of Algorithm
Aversion over Time
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50121'
abstract:
- lang: eng
text: Many researchers and practitioners see artificial intelligence as a game changer
compared to classical statistical models. However, some software providers engage
in “AI washing”, relabeling solutions that use simple statistical models as AI
systems. By contrast, research on algorithm aversion unsystematically varied the
labels for advisors and treated labels such as "artificial intelligence" and "statistical
model" synonymously. This study investigates the effect of individual labels on
users' actual advice utilization behavior. Through two incentivized online within-subjects
experiments on regression tasks, we find that labeling human advisors with labels
that suggest higher expertise leads to an increase in advice-taking, even though
the content of the advice remains the same. In contrast, our results do not suggest
such an expert effect for advice-taking from algorithms, despite differences in
self-reported perception. These findings challenge the effectiveness of framing
intelligent systems as AI-based systems and have important implications for both
research and practice.
author:
- first_name: Dirk
full_name: Leffrang, Dirk
id: '51271'
last_name: Leffrang
orcid: 0000-0001-9004-2391
citation:
ama: 'Leffrang D. AI Washing: The Framing Effect of Labels on Algorithmic Advice
Utilization. In: International Conference on Information Systems. ; 2023.'
apa: 'Leffrang, D. (2023). AI Washing: The Framing Effect of Labels on Algorithmic
Advice Utilization. International Conference on Information Systems, 10.'
bibtex: '@inproceedings{Leffrang_2023, title={AI Washing: The Framing Effect of
Labels on Algorithmic Advice Utilization}, number={10}, booktitle={International
Conference on Information Systems}, author={Leffrang, Dirk}, year={2023} }'
chicago: 'Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic
Advice Utilization.” In International Conference on Information Systems,
2023.'
ieee: 'D. Leffrang, “AI Washing: The Framing Effect of Labels on Algorithmic Advice
Utilization,” in International Conference on Information Systems, Hyderabad,
India, 2023, no. 10.'
mla: 'Leffrang, Dirk. “AI Washing: The Framing Effect of Labels on Algorithmic Advice
Utilization.” International Conference on Information Systems, no. 10,
2023.'
short: 'D. Leffrang, in: International Conference on Information Systems, 2023.'
conference:
location: Hyderabad, India
name: International Conference on Information Systems (ICIS)
date_created: 2024-01-03T09:54:00Z
date_updated: 2024-01-10T09:53:41Z
department:
- _id: '196'
issue: '10'
keyword:
- Artificial Intelligence
- Algorithm Appreciation
- Framing
- Advice-taking
- Expertise
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/icis2023/aiinbus/aiinbus/10
publication: International Conference on Information Systems
status: public
title: 'AI Washing: The Framing Effect of Labels on Algorithmic Advice Utilization'
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50118'
abstract:
- lang: eng
text: Despite the widespread use of machine learning algorithms, their effectiveness
is limited by a phenomenon known as algorithm aversion. Recent research concluded
that unobserved variables can cause algorithm aversion. However, the impact of
an unobserved variable on algorithm aversion remains unclear. Previous studies
focused on situations where humans had more variables available than algorithms.
We extend this research by conducting an online experiment with 94 participants,
systematically varying the number of observable variables to the advisor and the
advisor type. Surprisingly, our results did not confirm that an unobserved variable
had a negative effect on advice-taking. Instead, we found a positive impact in
an algorithm appreciation scenario. This study provides new insights into the
paradoxical behavior in which people weigh advice more despite having fewer variables,
as they correct for the advisor's errors. Practitioners should consider this behavior
when designing algorithms and account for user correction behavior.
author:
- first_name: Dirk
full_name: Leffrang, Dirk
id: '51271'
last_name: Leffrang
orcid: 0000-0001-9004-2391
citation:
ama: 'Leffrang D. The Broken Leg of Algorithm Appreciation: An Experimental Study
on the Effect of Unobserved Variables on Advice Utilization. In: Wirtschaftsinformatik
Conference. ; 2023.'
apa: 'Leffrang, D. (2023). The Broken Leg of Algorithm Appreciation: An Experimental
Study on the Effect of Unobserved Variables on Advice Utilization. Wirtschaftsinformatik
Conference, 19.'
bibtex: '@inproceedings{Leffrang_2023, title={The Broken Leg of Algorithm Appreciation:
An Experimental Study on the Effect of Unobserved Variables on Advice Utilization},
number={19}, booktitle={Wirtschaftsinformatik Conference}, author={Leffrang, Dirk},
year={2023} }'
chicago: 'Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental
Study on the Effect of Unobserved Variables on Advice Utilization.” In Wirtschaftsinformatik
Conference, 2023.'
ieee: 'D. Leffrang, “The Broken Leg of Algorithm Appreciation: An Experimental Study
on the Effect of Unobserved Variables on Advice Utilization,” in Wirtschaftsinformatik
Conference, Paderborn, 2023, no. 19.'
mla: 'Leffrang, Dirk. “The Broken Leg of Algorithm Appreciation: An Experimental
Study on the Effect of Unobserved Variables on Advice Utilization.” Wirtschaftsinformatik
Conference, no. 19, 2023.'
short: 'D. Leffrang, in: Wirtschaftsinformatik Conference, 2023.'
conference:
location: Paderborn
name: Wirtschaftsinformatik
date_created: 2024-01-03T09:50:06Z
date_updated: 2024-01-10T09:53:24Z
department:
- _id: '196'
issue: '19'
keyword:
- Algorithm aversion
- Data
- Decision-making
- Advice-taking
- Human-Computer Interaction
language:
- iso: eng
main_file_link:
- url: 'https://aisel.aisnet.org/wi2023/19 '
publication: Wirtschaftsinformatik Conference
status: public
title: 'The Broken Leg of Algorithm Appreciation: An Experimental Study on the Effect
of Unobserved Variables on Advice Utilization'
type: conference
user_id: '51271'
year: '2023'
...
---
_id: '50431'
abstract:
- lang: eng
text: 'Recommender systems now span the entire customer journey. Amid the multitude
of diversified experi- ences, immersing in cultural events has become a key aspect
of tourism. Cultural events, however, suffer from fleeting lifecycles, evade exact
replication, and invariably lie in the future. In addition, their low standardization
makes harnessing historical data regarding event content or past patron evaluations
intricate. The distinctive traits of events thereby compound the challenge of
the cold-start dilemma in event recommenders. Content-based recommendations stand
as a viable avenue to alleviate this issue, functioning even in scenarios where
item-user information is scarce. Still, the effectiveness of content- based recommendations
often hinges on the quality of the data representation they build upon. In this
study, we explore an array of cutting-edge uni- and multimodal vision and language
foundation models (VL-FMs) for this purpose. Next, we derive content-based recommendations
through a straightforward clustering approach that groups akin events together,
and evaluate the efficacy of the models through a series of online user experiments
across three dimensions: similarity-based evaluation, comparison-based evaluation,
and clustering assignment evaluation. Our experiments generated four major findings.
First, we found that all VL-FMs consistently outperformed a naive baseline of
recommending randomly drawn events. Second, unimodal text-based embeddings were
surprisingly on par or in some cases even superior to multimodal embeddings. Third,
multimodal embeddings yielded arguably more fine-grained and diverse clusters
in comparison to their unimodal counterparts. Finally, we could confirm that cross
event interest is indeed reliant on the perceived similarity of events, resonating
with the notion of similarity in content-based recommendations. All in all, we
believe that leveraging the potential of contemporary FMs for content-based event
recommendations would help address the cold-start problem and propel this field
of research forward in new and exciting ways.'
author:
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Florian
full_name: Freese, Florian
last_name: Freese
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Halimeh H, Freese F, Müller O. Event Recommendations through the Lens of Vision
and Language Foundation Models. In: Workshop on Recommenders in Tourism, Co-Located
with the 17th ACM Conference on Recommender Systems. ; 2023.'
apa: Halimeh, H., Freese, F., & Müller, O. (2023). Event Recommendations through
the Lens of Vision and Language Foundation Models. Workshop on Recommenders
in Tourism, Co-Located with the 17th ACM Conference on Recommender Systems.
Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference on
Recommender Systems.
bibtex: '@inproceedings{Halimeh_Freese_Müller_2023, title={Event Recommendations
through the Lens of Vision and Language Foundation Models}, booktitle={Workshop
on Recommenders in Tourism, co-located with the 17th ACM Conference on Recommender
Systems}, author={Halimeh, Haya and Freese, Florian and Müller, Oliver}, year={2023}
}'
chicago: Halimeh, Haya, Florian Freese, and Oliver Müller. “Event Recommendations
through the Lens of Vision and Language Foundation Models.” In Workshop on
Recommenders in Tourism, Co-Located with the 17th ACM Conference on Recommender
Systems, 2023.
ieee: H. Halimeh, F. Freese, and O. Müller, “Event Recommendations through the Lens
of Vision and Language Foundation Models,” presented at the Workshop on Recommenders
in Tourism, co-located with the 17th ACM Conference on Recommender Systems, 2023.
mla: Halimeh, Haya, et al. “Event Recommendations through the Lens of Vision and
Language Foundation Models.” Workshop on Recommenders in Tourism, Co-Located
with the 17th ACM Conference on Recommender Systems, 2023.
short: 'H. Halimeh, F. Freese, O. Müller, in: Workshop on Recommenders in Tourism,
Co-Located with the 17th ACM Conference on Recommender Systems, 2023.'
conference:
end_date: 2023-09-22
name: Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference
on Recommender Systems
start_date: 2023-09-18
date_created: 2024-01-10T14:20:12Z
date_updated: 2024-01-10T16:10:04Z
department:
- _id: '195'
- _id: '196'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=zBlrdP4AAAAJ&citation_for_view=zBlrdP4AAAAJ:UeHWp8X0CEIC
oa: '1'
publication: Workshop on Recommenders in Tourism, co-located with the 17th ACM Conference
on Recommender Systems
status: public
title: Event Recommendations through the Lens of Vision and Language Foundation Models
type: conference
user_id: '87673'
year: '2023'
...
---
_id: '45270'
abstract:
- lang: eng
text: Clinical depression is a serious mental disorder that poses challenges for
both personal and public health. Millions of people struggle with depression each
year, but for many, the disorder goes undiagnosed or untreated. Over the last
decade, early depression detection on social media emerged as an interdisciplinary
research field. However, there is still a gap in detecting hesitant, depression-susceptible
individuals with minimal direct depressive signals at an early stage. We, therefore,
take up this open point and leverage posts from Reddit to fill the addressed gap.
Our results demonstrate the potential of contemporary Transformer architectures
in yielding promising predictive capabilities for mental health research. Furthermore,
we investigate the model’s interpretability using a surrogate and a topic modeling
approach. Based on our findings, we consider this work as a further step towards
developing a better understanding of mental eHealth and hope that our results
can support the development of future technologies.
author:
- first_name: Haya
full_name: Halimeh, Haya
id: '87673'
last_name: Halimeh
- first_name: Matthew
full_name: Caron, Matthew
id: '60721'
last_name: Caron
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Halimeh H, Caron M, Müller O. Early Depression Detection with Transformer
Models: Analyzing the Relationship between Linguistic and Psychology-Based Features.
In: Hawaii International Conference on System Sciences. ; 2023.'
apa: 'Halimeh, H., Caron, M., & Müller, O. (2023). Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features. Hawaii International Conference on System Sciences. Hawaii International
Conference on System Sciences.'
bibtex: '@inproceedings{Halimeh_Caron_Müller_2023, title={Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features}, booktitle={Hawaii International Conference on System Sciences}, author={Halimeh,
Haya and Caron, Matthew and Müller, Oliver}, year={2023} }'
chicago: 'Halimeh, Haya, Matthew Caron, and Oliver Müller. “Early Depression Detection
with Transformer Models: Analyzing the Relationship between Linguistic and Psychology-Based
Features.” In Hawaii International Conference on System Sciences, 2023.'
ieee: 'H. Halimeh, M. Caron, and O. Müller, “Early Depression Detection with Transformer
Models: Analyzing the Relationship between Linguistic and Psychology-Based Features,”
presented at the Hawaii International Conference on System Sciences, 2023.'
mla: 'Halimeh, Haya, et al. “Early Depression Detection with Transformer Models:
Analyzing the Relationship between Linguistic and Psychology-Based Features.”
Hawaii International Conference on System Sciences, 2023.'
short: 'H. Halimeh, M. Caron, O. Müller, in: Hawaii International Conference on
System Sciences, 2023.'
conference:
end_date: 2023-01-06
name: Hawaii International Conference on System Sciences
start_date: 2023-01-03
date_created: 2023-05-25T10:25:21Z
date_updated: 2024-01-10T15:16:37Z
department:
- _id: '195'
- _id: '196'
keyword:
- Social Media and Healthcare Technology
- early depression detection
- liwc
- mental health
- transfer learning
- transformer architectures
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://scholarspace.manoa.hawaii.edu/items/2ddab486-5d2f-4302-8de3-a8b24017da3d
oa: '1'
publication: Hawaii International Conference on System Sciences
publication_status: published
related_material:
link:
- relation: confirmation
url: https://hdl.handle.net/10125/103046
status: public
title: 'Early Depression Detection with Transformer Models: Analyzing the Relationship
between Linguistic and Psychology-Based Features'
type: conference
user_id: '60721'
year: '2023'
...
---
_id: '50437'
abstract:
- lang: eng
text: The humanitarian crisis resulting from the Russian invasion of Ukraine has
led to millions of displaced individuals across Europe. Addressing the evolving
needs of these refugees is crucial for hosting countries and humanitarian organizations.
This study leverages social media analytics to supplement traditional surveys,
providing real-time insights into refugee needs by analyzing over two million
messages from Telegram, a vital platform for Ukrainian refugees in Germany. We
employ Natural Language Processing techniques, including language identification,
sentiment analysis, and topic modeling, to identify well-defined topic clusters
such as housing, financial and legal assistance, language courses, job market
access, and medical needs. Our findings also reveal changes in topic occurrence
and nature over time. To support practitioners, we introduce an interactive web-based
dashboard for continuous analysis of refugee needs.
author:
- first_name: Raphael
full_name: Reimann, Raphael
last_name: Reimann
- first_name: Matthew
full_name: Caron, Matthew
id: '60721'
last_name: Caron
citation:
ama: 'Reimann R, Caron M. Analyzing the Needs of Ukrainian Refugees on Telegram
in Real-Time: A Machine Learning Approach. In: Wirtschaftsinformatik. ;
2023.'
apa: 'Reimann, R., & Caron, M. (2023). Analyzing the Needs of Ukrainian Refugees
on Telegram in Real-Time: A Machine Learning Approach. Wirtschaftsinformatik.
Wirtschaftsinformatik, Paderborn, Germany.'
bibtex: '@inproceedings{Reimann_Caron_2023, title={Analyzing the Needs of Ukrainian
Refugees on Telegram in Real-Time: A Machine Learning Approach}, booktitle={Wirtschaftsinformatik},
author={Reimann, Raphael and Caron, Matthew}, year={2023} }'
chicago: 'Reimann, Raphael, and Matthew Caron. “Analyzing the Needs of Ukrainian
Refugees on Telegram in Real-Time: A Machine Learning Approach.” In Wirtschaftsinformatik,
2023.'
ieee: 'R. Reimann and M. Caron, “Analyzing the Needs of Ukrainian Refugees on Telegram
in Real-Time: A Machine Learning Approach,” presented at the Wirtschaftsinformatik,
Paderborn, Germany, 2023.'
mla: 'Reimann, Raphael, and Matthew Caron. “Analyzing the Needs of Ukrainian Refugees
on Telegram in Real-Time: A Machine Learning Approach.” Wirtschaftsinformatik,
2023.'
short: 'R. Reimann, M. Caron, in: Wirtschaftsinformatik, 2023.'
conference:
end_date: 2023-09-21
location: Paderborn, Germany
name: Wirtschaftsinformatik
start_date: 2023-09-18
date_created: 2024-01-10T15:15:19Z
date_updated: 2024-01-10T15:20:13Z
department:
- _id: '196'
language:
- iso: eng
main_file_link:
- url: https://aisel.aisnet.org/wi2023/100/
publication: Wirtschaftsinformatik
publication_status: published
status: public
title: 'Analyzing the Needs of Ukrainian Refugees on Telegram in Real-Time: A Machine
Learning Approach'
type: conference
user_id: '60721'
year: '2023'
...
---
_id: '48335'
author:
- first_name: Lukas
full_name: Knorr, Lukas
id: '90391'
last_name: Knorr
- first_name: André
full_name: Jungeilges, André
id: '45189'
last_name: Jungeilges
- first_name: Florian
full_name: Pfeifer, Florian
id: '22717'
last_name: Pfeifer
- first_name: Sascha Christian
full_name: Burmeister, Sascha Christian
id: '32685'
last_name: Burmeister
orcid: 0000-0001-6679-0453
- first_name: Henning
full_name: Meschede, Henning
id: '86954'
last_name: Meschede
orcid: 0000-0002-1538-089X
citation:
ama: Knorr L, Jungeilges A, Pfeifer F, Burmeister SC, Meschede H. Regenerative
Energien für einen effizienten Betrieb von Presshärtelinien. 4. Aachener Ofenbau-
und Thermoprozess-Kolloquium; 2023.
apa: Knorr, L., Jungeilges, A., Pfeifer, F., Burmeister, S. C., & Meschede,
H. (2023). Regenerative Energien für einen effizienten Betrieb von Presshärtelinien.
4. Aachener Ofenbau- und Thermoprozess-Kolloquium.
bibtex: '@book{Knorr_Jungeilges_Pfeifer_Burmeister_Meschede_2023, place={Aachen},
title={Regenerative Energien für einen effizienten Betrieb von Presshärtelinien},
publisher={4. Aachener Ofenbau- und Thermoprozess-Kolloquium}, author={Knorr,
Lukas and Jungeilges, André and Pfeifer, Florian and Burmeister, Sascha Christian
and Meschede, Henning}, year={2023} }'
chicago: 'Knorr, Lukas, André Jungeilges, Florian Pfeifer, Sascha Christian Burmeister,
and Henning Meschede. Regenerative Energien für einen effizienten Betrieb von
Presshärtelinien. Aachen: 4. Aachener Ofenbau- und Thermoprozess-Kolloquium,
2023.'
ieee: 'L. Knorr, A. Jungeilges, F. Pfeifer, S. C. Burmeister, and H. Meschede, Regenerative
Energien für einen effizienten Betrieb von Presshärtelinien. Aachen: 4. Aachener
Ofenbau- und Thermoprozess-Kolloquium, 2023.'
mla: Knorr, Lukas, et al. Regenerative Energien für einen effizienten Betrieb
von Presshärtelinien. 4. Aachener Ofenbau- und Thermoprozess-Kolloquium, 2023.
short: L. Knorr, A. Jungeilges, F. Pfeifer, S.C. Burmeister, H. Meschede, Regenerative
Energien für einen effizienten Betrieb von Presshärtelinien, 4. Aachener Ofenbau-
und Thermoprozess-Kolloquium, Aachen, 2023.
date_created: 2023-10-19T10:34:14Z
date_updated: 2024-01-11T09:05:19Z
department:
- _id: '644'
- _id: '149'
- _id: '277'
- _id: '321'
language:
- iso: ger
place: Aachen
publisher: 4. Aachener Ofenbau- und Thermoprozess-Kolloquium
status: public
title: Regenerative Energien für einen effizienten Betrieb von Presshärtelinien
type: misc
user_id: '45189'
year: '2023'
...
---
_id: '37058'
abstract:
- lang: eng
text: "Digital technologies have made the line of visibility more transparent, enabling
customers to get deeper insights into an organization’s core operations than ever
before. This creates new challenges for organizations trying to consistently deliver
high-quality customer experiences. In this paper we conduct an empirical analysis
of customers’ preferences and their willingness-to-pay for different degrees of
process transparency, using the example of digitally-enabled business-to-customer
delivery services. Applying conjoint analysis, we quantify customers’ preferences
and willingness-to-pay for different service attributes and levels. Our contributions
are two-fold: For research, we provide empirical measurements of customers’ preferences
and their willingness-to-pay for process transparency, suggesting that more is
not always better. Additionally, we provide a blueprint of how conjoint analysis
can be applied to study design decisions regarding changing an organization’s
digital line of visibility. For practice, our findings enable service managers
to make decisions about process transparency and establishing different levels
of service quality.\r\n"
author:
- first_name: Katharina
full_name: Brennig, Katharina
id: '51905'
last_name: Brennig
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Brennig K, Müller O. More Isn’t Always Better – Measuring Customers’ Preferences
for Digital Process Transparency. In: Hawaii International Conference on System
Sciences. ; 2023.'
apa: Brennig, K., & Müller, O. (2023). More Isn’t Always Better – Measuring
Customers’ Preferences for Digital Process Transparency. Hawaii International
Conference on System Sciences. 56th Hawaii International Conference on System
Sciences, Lāhainā.
bibtex: '@inproceedings{Brennig_Müller_2023, title={More Isn’t Always Better – Measuring
Customers’ Preferences for Digital Process Transparency}, booktitle={Hawaii International
Conference on System Sciences}, author={Brennig, Katharina and Müller, Oliver},
year={2023} }'
chicago: Brennig, Katharina, and Oliver Müller. “More Isn’t Always Better – Measuring
Customers’ Preferences for Digital Process Transparency.” In Hawaii International
Conference on System Sciences, 2023.
ieee: K. Brennig and O. Müller, “More Isn’t Always Better – Measuring Customers’
Preferences for Digital Process Transparency,” presented at the 56th Hawaii International
Conference on System Sciences, Lāhainā, 2023.
mla: Brennig, Katharina, and Oliver Müller. “More Isn’t Always Better – Measuring
Customers’ Preferences for Digital Process Transparency.” Hawaii International
Conference on System Sciences, 2023.
short: 'K. Brennig, O. Müller, in: Hawaii International Conference on System Sciences,
2023.'
conference:
end_date: '20230106'
location: Lāhainā
name: ' 56th Hawaii International Conference on System Sciences'
start_date: '20230103'
date_created: 2023-01-17T11:34:56Z
date_updated: 2024-01-11T11:21:28Z
department:
- _id: '196'
has_accepted_license: '1'
keyword:
- Digital Services
- Line of Visibility
- Process Transparency
- Customer Preferences
- Conjoint Analysis
language:
- iso: eng
publication: Hawaii International Conference on System Sciences
publication_identifier:
unknown:
- 978-0-9981331-6-4
publication_status: published
status: public
title: More Isn’t Always Better – Measuring Customers’ Preferences for Digital Process
Transparency
type: conference
user_id: '51905'
year: '2023'
...
---
_id: '50450'
author:
- first_name: Katharina
full_name: Brennig, Katharina
id: '51905'
last_name: Brennig
- first_name: Kay
full_name: Benkert, Kay
last_name: Benkert
- first_name: Bernd
full_name: Löhr, Bernd
id: '56760'
last_name: Löhr
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Brennig K, Benkert K, Löhr B, Müller O. Text-Aware Predictive Process Monitoring
of Knowledge-Intensive Processes: Does Control Flow Matter? In: Business Process
Management Workshops. ; 2023. doi:10.1007/978-3-031-50974-2_33'
apa: 'Brennig, K., Benkert, K., Löhr, B., & Müller, O. (2023). Text-Aware Predictive
Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?
In Business Process Management Workshops. https://doi.org/10.1007/978-3-031-50974-2_33'
bibtex: '@inbook{Brennig_Benkert_Löhr_Müller_2023, title={Text-Aware Predictive
Process Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?},
DOI={10.1007/978-3-031-50974-2_33},
booktitle={Business Process Management Workshops}, author={Brennig, Katharina
and Benkert, Kay and Löhr, Bernd and Müller, Oliver}, year={2023} }'
chicago: 'Brennig, Katharina, Kay Benkert, Bernd Löhr, and Oliver Müller. “Text-Aware
Predictive Process Monitoring of Knowledge-Intensive Processes: Does Control Flow
Matter?” In Business Process Management Workshops, 2023. https://doi.org/10.1007/978-3-031-50974-2_33.'
ieee: 'K. Brennig, K. Benkert, B. Löhr, and O. Müller, “Text-Aware Predictive Process
Monitoring of Knowledge-Intensive Processes: Does Control Flow Matter?,” in Business
Process Management Workshops, 2023.'
mla: 'Brennig, Katharina, et al. “Text-Aware Predictive Process Monitoring of Knowledge-Intensive
Processes: Does Control Flow Matter?” Business Process Management Workshops,
2023, doi:10.1007/978-3-031-50974-2_33.'
short: 'K. Brennig, K. Benkert, B. Löhr, O. Müller, in: Business Process Management
Workshops, 2023.'
date_created: 2024-01-11T09:26:05Z
date_updated: 2024-01-11T11:22:35Z
department:
- _id: '196'
doi: 10.1007/978-3-031-50974-2_33
language:
- iso: eng
publication: Business Process Management Workshops
publication_identifier:
isbn:
- '9783031509735'
- '9783031509742'
issn:
- 1865-1348
- 1865-1356
publication_status: published
status: public
title: 'Text-Aware Predictive Process Monitoring of Knowledge-Intensive Processes:
Does Control Flow Matter?'
type: book_chapter
user_id: '51905'
year: '2023'
...
---
_id: '51770'
abstract:
- lang: eng
text: AbstractWorkarounds are goal‐driven deviations
from the standard operating procedures performed to overcome obstacles constraining
day‐to‐day work. Despite starting as temporary fixes, they can become established
across an organisation and trigger the innovation of processes and IT artefacts
that can resolve misfits permanently. Although prior research has elicited antecedents
and types of workarounds, it is not known how workarounds diffuse in an organisation
and, thereby, innovating co‐workers' activities, IT artefacts, and organisational
structures. The results of our multiple two‐year case study provide unique empirical
insights into the diffusion of workarounds and how they can act as generative
mechanisms for bottom‐up process innovation.
article_type: original
author:
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
- first_name: Verena
full_name: Wolf, Verena
id: '23633'
last_name: Wolf
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: Bartelheimer C, Wolf V, Beverungen D. Workarounds as generative mechanisms
for bottom‐up process innovation—Insights from a multiple case study. Information
Systems Journal. 2023;33(5):1085-1150. doi:10.1111/isj.12435
apa: Bartelheimer, C., Wolf, V., & Beverungen, D. (2023). Workarounds as generative
mechanisms for bottom‐up process innovation—Insights from a multiple case study.
Information Systems Journal, 33(5), 1085–1150. https://doi.org/10.1111/isj.12435
bibtex: '@article{Bartelheimer_Wolf_Beverungen_2023, title={Workarounds as generative
mechanisms for bottom‐up process innovation—Insights from a multiple case study},
volume={33}, DOI={10.1111/isj.12435},
number={5}, journal={Information Systems Journal}, publisher={Wiley}, author={Bartelheimer,
Christian and Wolf, Verena and Beverungen, Daniel}, year={2023}, pages={1085–1150}
}'
chicago: 'Bartelheimer, Christian, Verena Wolf, and Daniel Beverungen. “Workarounds
as Generative Mechanisms for Bottom‐up Process Innovation—Insights from a Multiple
Case Study.” Information Systems Journal 33, no. 5 (2023): 1085–1150. https://doi.org/10.1111/isj.12435.'
ieee: 'C. Bartelheimer, V. Wolf, and D. Beverungen, “Workarounds as generative mechanisms
for bottom‐up process innovation—Insights from a multiple case study,” Information
Systems Journal, vol. 33, no. 5, pp. 1085–1150, 2023, doi: 10.1111/isj.12435.'
mla: Bartelheimer, Christian, et al. “Workarounds as Generative Mechanisms for Bottom‐up
Process Innovation—Insights from a Multiple Case Study.” Information Systems
Journal, vol. 33, no. 5, Wiley, 2023, pp. 1085–150, doi:10.1111/isj.12435.
short: C. Bartelheimer, V. Wolf, D. Beverungen, Information Systems Journal 33 (2023)
1085–1150.
date_created: 2024-02-22T15:19:57Z
date_updated: 2024-02-28T09:52:47Z
ddc:
- '330'
department:
- _id: '195'
doi: 10.1111/isj.12435
file:
- access_level: closed
content_type: application/pdf
creator: dabe
date_created: 2024-02-22T15:21:34Z
date_updated: 2024-02-22T15:21:34Z
file_id: '51771'
file_name: Information Systems Journal - 2023 - Bartelheimer - Workarounds as generative
mechanisms for bottom‐up process innovation.pdf
file_size: 4520950
relation: main_file
success: 1
file_date_updated: 2024-02-22T15:21:34Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '5'
keyword:
- Computer Networks and Communications
- Information Systems
- Software
language:
- iso: eng
page: 1085-1150
project:
- _id: '36'
grant_number: O2K14A22O
name: 'Digivation: Digitale Prozessinnovationen durch datenbasierte Dienstleistungen '
publication: Information Systems Journal
publication_identifier:
issn:
- 1350-1917
- 1365-2575
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Workarounds as generative mechanisms for bottom‐up process innovation—Insights
from a multiple case study
type: journal_article
user_id: '59677'
volume: 33
year: '2023'
...
---
_id: '46492'
author:
- first_name: Janina
full_name: Seutter, Janina
id: '64464'
last_name: Seutter
- first_name: K.
full_name: Kutzner, K.
last_name: Kutzner
- first_name: M.
full_name: Stadtländer, M.
last_name: Stadtländer
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: ' R.'
full_name: Knackstedt, R.
last_name: Knackstedt
citation:
ama: Seutter J, Kutzner K, Stadtländer M, Kundisch D, Knackstedt R. “Sorry, Too
Much Information”. Designing Online Review Systems that Support Information Search
and Processing. Electronic Markets. 2023;33(1):47.
apa: Seutter, J., Kutzner, K., Stadtländer, M., Kundisch, D., & Knackstedt, R.
(2023). “Sorry, Too Much Information”. Designing Online Review Systems that Support
Information Search and Processing. Electronic Markets, 33(1), 47.
bibtex: '@article{Seutter_Kutzner_Stadtländer_Kundisch_Knackstedt_2023, title={“Sorry,
Too Much Information”. Designing Online Review Systems that Support Information
Search and Processing}, volume={33}, number={1}, journal={Electronic Markets},
author={Seutter, Janina and Kutzner, K. and Stadtländer, M. and Kundisch, Dennis
and Knackstedt, R.}, year={2023}, pages={47} }'
chicago: 'Seutter, Janina, K. Kutzner, M. Stadtländer, Dennis Kundisch, and R.
Knackstedt. “‘Sorry, Too Much Information’. Designing Online Review Systems That
Support Information Search and Processing.” Electronic Markets 33, no.
1 (2023): 47.'
ieee: J. Seutter, K. Kutzner, M. Stadtländer, D. Kundisch, and R. Knackstedt, “‘Sorry,
Too Much Information’. Designing Online Review Systems that Support Information
Search and Processing,” Electronic Markets, vol. 33, no. 1, p. 47, 2023.
mla: Seutter, Janina, et al. “‘Sorry, Too Much Information’. Designing Online Review
Systems That Support Information Search and Processing.” Electronic Markets,
vol. 33, no. 1, 2023, p. 47.
short: J. Seutter, K. Kutzner, M. Stadtländer, D. Kundisch, R. Knackstedt, Electronic
Markets 33 (2023) 47.
date_created: 2023-08-15T08:59:44Z
date_updated: 2024-02-29T10:45:36Z
department:
- _id: '276'
intvolume: ' 33'
issue: '1'
language:
- iso: eng
page: '47'
project:
- _id: '82'
name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '158'
name: 'SFB 901 - T4: SFB 901 -Subproject T4'
- _id: '8'
grant_number: '160364472'
name: 'SFB 901 - A4: SFB 901 - Empirische Analysen in Märkten für OTF Dienstleistungen
(Subproject A4)'
- _id: '2'
name: 'SFB 901 - A: SFB 901 - Project Area A'
- _id: '1'
grant_number: '160364472'
name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
in dynamischen Märkten '
publication: Electronic Markets
publication_status: published
status: public
title: “Sorry, Too Much Information”. Designing Online Review Systems that Support
Information Search and Processing
type: journal_article
user_id: '16205'
volume: 33
year: '2023'
...
---
_id: '46040'
author:
- first_name: Janina
full_name: Seutter, Janina
id: '64464'
last_name: Seutter
- 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: Seutter J, Müller M, Kundisch D. Verdrängen Smart-Product-Service-Systeme die
Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community.
Wirtschaftsinformatik & Management. 2023;15(4):282-289.
apa: Seutter, J., Müller, M., & Kundisch, D. (2023). Verdrängen Smart-Product-Service-Systeme
die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community.
Wirtschaftsinformatik & Management, 15(4), 282–289.
bibtex: '@article{Seutter_Müller_Kundisch_2023, title={Verdrängen Smart-Product-Service-Systeme
die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community},
volume={15}, number={4}, journal={Wirtschaftsinformatik & Management}, author={Seutter,
Janina and Müller, Michelle and Kundisch, Dennis}, year={2023}, pages={282–289}
}'
chicago: 'Seutter, Janina, Michelle Müller, and Dennis Kundisch. “Verdrängen Smart-Product-Service-Systeme
die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community.”
Wirtschaftsinformatik & Management 15, no. 4 (2023): 282–89.'
ieee: J. Seutter, M. Müller, and D. Kundisch, “Verdrängen Smart-Product-Service-Systeme
die Interaktion in Online-Communities? – Empirische Evidenz aus einer Rezept-Community,”
Wirtschaftsinformatik & Management, vol. 15, no. 4, pp. 282–289, 2023.
mla: Seutter, Janina, et al. “Verdrängen Smart-Product-Service-Systeme die Interaktion
in Online-Communities? – Empirische Evidenz aus einer Rezept-Community.” Wirtschaftsinformatik
& Management, vol. 15, no. 4, 2023, pp. 282–89.
short: J. Seutter, M. Müller, D. Kundisch, Wirtschaftsinformatik & Management
15 (2023) 282–289.
date_created: 2023-07-13T09:23:36Z
date_updated: 2024-02-29T10:44:34Z
department:
- _id: '276'
intvolume: ' 15'
issue: '4'
language:
- iso: ger
page: 282-289
publication: Wirtschaftsinformatik & Management
publication_status: published
status: public
title: Verdrängen Smart-Product-Service-Systeme die Interaktion in Online-Communities?
– Empirische Evidenz aus einer Rezept-Community
type: journal_article
user_id: '16205'
volume: 15
year: '2023'
...
---
_id: '53220'
article_number: '100786'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Arash
full_name: Khalili Nasr, Arash
last_name: Khalili Nasr
- first_name: Alireza Barati
full_name: Ahmadabadi, Alireza Barati
last_name: Ahmadabadi
- first_name: Alireza Shamekhi
full_name: Amiri, Alireza Shamekhi
last_name: Amiri
- first_name: Hassan
full_name: Mina, Hassan
last_name: Mina
citation:
ama: Tavana M, Khalili Nasr A, Ahmadabadi AB, Amiri AS, Mina H. An interval multi-criteria
decision-making model for evaluating blockchain-IoT technology in supply chain
networks. Internet of Things. 2023;22. doi:10.1016/j.iot.2023.100786
apa: Tavana, M., Khalili Nasr, A., Ahmadabadi, A. B., Amiri, A. S., & Mina,
H. (2023). An interval multi-criteria decision-making model for evaluating blockchain-IoT
technology in supply chain networks. Internet of Things, 22, Article
100786. https://doi.org/10.1016/j.iot.2023.100786
bibtex: '@article{Tavana_Khalili Nasr_Ahmadabadi_Amiri_Mina_2023, title={An interval
multi-criteria decision-making model for evaluating blockchain-IoT technology
in supply chain networks}, volume={22}, DOI={10.1016/j.iot.2023.100786},
number={100786}, journal={Internet of Things}, publisher={Elsevier BV}, author={Tavana,
Madjid and Khalili Nasr, Arash and Ahmadabadi, Alireza Barati and Amiri, Alireza
Shamekhi and Mina, Hassan}, year={2023} }'
chicago: Tavana, Madjid, Arash Khalili Nasr, Alireza Barati Ahmadabadi, Alireza
Shamekhi Amiri, and Hassan Mina. “An Interval Multi-Criteria Decision-Making Model
for Evaluating Blockchain-IoT Technology in Supply Chain Networks.” Internet
of Things 22 (2023). https://doi.org/10.1016/j.iot.2023.100786.
ieee: 'M. Tavana, A. Khalili Nasr, A. B. Ahmadabadi, A. S. Amiri, and H. Mina, “An
interval multi-criteria decision-making model for evaluating blockchain-IoT technology
in supply chain networks,” Internet of Things, vol. 22, Art. no. 100786,
2023, doi: 10.1016/j.iot.2023.100786.'
mla: Tavana, Madjid, et al. “An Interval Multi-Criteria Decision-Making Model for
Evaluating Blockchain-IoT Technology in Supply Chain Networks.” Internet of
Things, vol. 22, 100786, Elsevier BV, 2023, doi:10.1016/j.iot.2023.100786.
short: M. Tavana, A. Khalili Nasr, A.B. Ahmadabadi, A.S. Amiri, H. Mina, Internet
of Things 22 (2023).
date_created: 2024-04-04T13:49:53Z
date_updated: 2024-04-15T13:10:41Z
department:
- _id: '277'
doi: 10.1016/j.iot.2023.100786
intvolume: ' 22'
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 interval multi-criteria decision-making model for evaluating blockchain-IoT
technology in supply chain networks
type: journal_article
user_id: '51811'
volume: 22
year: '2023'
...
---
_id: '53218'
article_number: '119902'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Mehdi
full_name: Soltanifar, Mehdi
last_name: Soltanifar
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
- first_name: Hamid
full_name: Sharafi, Hamid
last_name: Sharafi
citation:
ama: 'Tavana M, Soltanifar M, Santos-Arteaga FJ, Sharafi H. Analytic hierarchy process
and data envelopment analysis: A match made in heaven. Expert Systems with
Applications. 2023;223. doi:10.1016/j.eswa.2023.119902'
apa: 'Tavana, M., Soltanifar, M., Santos-Arteaga, F. J., & Sharafi, H. (2023).
Analytic hierarchy process and data envelopment analysis: A match made in heaven.
Expert Systems with Applications, 223, Article 119902. https://doi.org/10.1016/j.eswa.2023.119902'
bibtex: '@article{Tavana_Soltanifar_Santos-Arteaga_Sharafi_2023, title={Analytic
hierarchy process and data envelopment analysis: A match made in heaven}, volume={223},
DOI={10.1016/j.eswa.2023.119902},
number={119902}, journal={Expert Systems with Applications}, publisher={Elsevier
BV}, author={Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga, Francisco
J. and Sharafi, Hamid}, year={2023} }'
chicago: 'Tavana, Madjid, Mehdi Soltanifar, Francisco J. Santos-Arteaga, and Hamid
Sharafi. “Analytic Hierarchy Process and Data Envelopment Analysis: A Match Made
in Heaven.” Expert Systems with Applications 223 (2023). https://doi.org/10.1016/j.eswa.2023.119902.'
ieee: 'M. Tavana, M. Soltanifar, F. J. Santos-Arteaga, and H. Sharafi, “Analytic
hierarchy process and data envelopment analysis: A match made in heaven,” Expert
Systems with Applications, vol. 223, Art. no. 119902, 2023, doi: 10.1016/j.eswa.2023.119902.'
mla: 'Tavana, Madjid, et al. “Analytic Hierarchy Process and Data Envelopment Analysis:
A Match Made in Heaven.” Expert Systems with Applications, vol. 223, 119902,
Elsevier BV, 2023, doi:10.1016/j.eswa.2023.119902.'
short: M. Tavana, M. Soltanifar, F.J. Santos-Arteaga, H. Sharafi, Expert Systems
with Applications 223 (2023).
date_created: 2024-04-04T13:47:25Z
date_updated: 2024-04-15T13:08:50Z
department:
- _id: '277'
doi: 10.1016/j.eswa.2023.119902
intvolume: ' 223'
keyword:
- Artificial Intelligence
- Computer Science Applications
- General Engineering
language:
- iso: eng
publication: Expert Systems with Applications
publication_identifier:
issn:
- 0957-4174
publication_status: published
publisher: Elsevier BV
status: public
title: 'Analytic hierarchy process and data envelopment analysis: A match made in
heaven'
type: journal_article
user_id: '51811'
volume: 223
year: '2023'
...
---
_id: '53219'
article_number: '100445'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Vahid
full_name: Hajipour, Vahid
last_name: Hajipour
- first_name: Mohammad
full_name: Alaghebandha, Mohammad
last_name: Alaghebandha
- first_name: Debora
full_name: Di Caprio, Debora
last_name: Di Caprio
citation:
ama: Tavana M, Hajipour V, Alaghebandha M, Di Caprio D. A bi-objective hybrid vibration
damping optimization model for synchronous flow shop scheduling problems. Machine
Learning with Applications. 2023;11. doi:10.1016/j.mlwa.2022.100445
apa: Tavana, M., Hajipour, V., Alaghebandha, M., & Di Caprio, D. (2023). A bi-objective
hybrid vibration damping optimization model for synchronous flow shop scheduling
problems. Machine Learning with Applications, 11, Article 100445.
https://doi.org/10.1016/j.mlwa.2022.100445
bibtex: '@article{Tavana_Hajipour_Alaghebandha_Di Caprio_2023, title={A bi-objective
hybrid vibration damping optimization model for synchronous flow shop scheduling
problems}, volume={11}, DOI={10.1016/j.mlwa.2022.100445},
number={100445}, journal={Machine Learning with Applications}, publisher={Elsevier
BV}, author={Tavana, Madjid and Hajipour, Vahid and Alaghebandha, Mohammad and
Di Caprio, Debora}, year={2023} }'
chicago: Tavana, Madjid, Vahid Hajipour, Mohammad Alaghebandha, and Debora Di Caprio.
“A Bi-Objective Hybrid Vibration Damping Optimization Model for Synchronous Flow
Shop Scheduling Problems.” Machine Learning with Applications 11 (2023).
https://doi.org/10.1016/j.mlwa.2022.100445.
ieee: 'M. Tavana, V. Hajipour, M. Alaghebandha, and D. Di Caprio, “A bi-objective
hybrid vibration damping optimization model for synchronous flow shop scheduling
problems,” Machine Learning with Applications, vol. 11, Art. no. 100445,
2023, doi: 10.1016/j.mlwa.2022.100445.'
mla: Tavana, Madjid, et al. “A Bi-Objective Hybrid Vibration Damping Optimization
Model for Synchronous Flow Shop Scheduling Problems.” Machine Learning with
Applications, vol. 11, 100445, Elsevier BV, 2023, doi:10.1016/j.mlwa.2022.100445.
short: M. Tavana, V. Hajipour, M. Alaghebandha, D. Di Caprio, Machine Learning with
Applications 11 (2023).
date_created: 2024-04-04T13:48:44Z
date_updated: 2024-04-15T13:10:24Z
department:
- _id: '277'
doi: 10.1016/j.mlwa.2022.100445
intvolume: ' 11'
keyword:
- General Medicine
language:
- iso: eng
publication: Machine Learning with Applications
publication_identifier:
issn:
- 2666-8270
publication_status: published
publisher: Elsevier BV
status: public
title: A bi-objective hybrid vibration damping optimization model for synchronous
flow shop scheduling problems
type: journal_article
user_id: '51811'
volume: 11
year: '2023'
...
---
_id: '53217'
article_number: '113272'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Hassan
full_name: Mina, Hassan
last_name: Mina
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
citation:
ama: Tavana M, Mina H, Santos-Arteaga FJ. A general Best-Worst method considering
interdependency with application to innovation and technology assessment at NASA.
Journal of Business Research. 2023;154. doi:10.1016/j.jbusres.2022.08.036
apa: Tavana, M., Mina, H., & Santos-Arteaga, F. J. (2023). A general Best-Worst
method considering interdependency with application to innovation and technology
assessment at NASA. Journal of Business Research, 154, Article 113272.
https://doi.org/10.1016/j.jbusres.2022.08.036
bibtex: '@article{Tavana_Mina_Santos-Arteaga_2023, title={A general Best-Worst method
considering interdependency with application to innovation and technology assessment
at NASA}, volume={154}, DOI={10.1016/j.jbusres.2022.08.036},
number={113272}, journal={Journal of Business Research}, publisher={Elsevier BV},
author={Tavana, Madjid and Mina, Hassan and Santos-Arteaga, Francisco J.}, year={2023}
}'
chicago: Tavana, Madjid, Hassan Mina, and Francisco J. Santos-Arteaga. “A General
Best-Worst Method Considering Interdependency with Application to Innovation and
Technology Assessment at NASA.” Journal of Business Research 154 (2023).
https://doi.org/10.1016/j.jbusres.2022.08.036.
ieee: 'M. Tavana, H. Mina, and F. J. Santos-Arteaga, “A general Best-Worst method
considering interdependency with application to innovation and technology assessment
at NASA,” Journal of Business Research, vol. 154, Art. no. 113272, 2023,
doi: 10.1016/j.jbusres.2022.08.036.'
mla: Tavana, Madjid, et al. “A General Best-Worst Method Considering Interdependency
with Application to Innovation and Technology Assessment at NASA.” Journal
of Business Research, vol. 154, 113272, Elsevier BV, 2023, doi:10.1016/j.jbusres.2022.08.036.
short: M. Tavana, H. Mina, F.J. Santos-Arteaga, Journal of Business Research 154
(2023).
date_created: 2024-04-04T13:46:45Z
date_updated: 2024-04-15T13:08:31Z
department:
- _id: '277'
doi: 10.1016/j.jbusres.2022.08.036
intvolume: ' 154'
keyword:
- Marketing
language:
- iso: eng
publication: Journal of Business Research
publication_identifier:
issn:
- 0148-2963
publication_status: published
publisher: Elsevier BV
status: public
title: A general Best-Worst method considering interdependency with application to
innovation and technology assessment at NASA
type: journal_article
user_id: '51811'
volume: 154
year: '2023'
...
---
_id: '53216'
author:
- first_name: Madjid
full_name: Tavana, Madjid
id: '31858'
last_name: Tavana
- first_name: Mehdi
full_name: Soltanifar, Mehdi
last_name: Soltanifar
- first_name: Francisco J.
full_name: Santos-Arteaga, Francisco J.
last_name: Santos-Arteaga
citation:
ama: 'Tavana M, Soltanifar M, Santos-Arteaga FJ. Analytical hierarchy process: revolution
and evolution. Annals of Operations Research. 2023;326(2):879-907. doi:10.1007/s10479-021-04432-2'
apa: 'Tavana, M., Soltanifar, M., & Santos-Arteaga, F. J. (2023). Analytical
hierarchy process: revolution and evolution. Annals of Operations Research,
326(2), 879–907. https://doi.org/10.1007/s10479-021-04432-2'
bibtex: '@article{Tavana_Soltanifar_Santos-Arteaga_2023, title={Analytical hierarchy
process: revolution and evolution}, volume={326}, DOI={10.1007/s10479-021-04432-2},
number={2}, journal={Annals of Operations Research}, publisher={Springer Science
and Business Media LLC}, author={Tavana, Madjid and Soltanifar, Mehdi and Santos-Arteaga,
Francisco J.}, year={2023}, pages={879–907} }'
chicago: 'Tavana, Madjid, Mehdi Soltanifar, and Francisco J. Santos-Arteaga. “Analytical
Hierarchy Process: Revolution and Evolution.” Annals of Operations Research
326, no. 2 (2023): 879–907. https://doi.org/10.1007/s10479-021-04432-2.'
ieee: 'M. Tavana, M. Soltanifar, and F. J. Santos-Arteaga, “Analytical hierarchy
process: revolution and evolution,” Annals of Operations Research, vol.
326, no. 2, pp. 879–907, 2023, doi: 10.1007/s10479-021-04432-2.'
mla: 'Tavana, Madjid, et al. “Analytical Hierarchy Process: Revolution and Evolution.”
Annals of Operations Research, vol. 326, no. 2, Springer Science and Business
Media LLC, 2023, pp. 879–907, doi:10.1007/s10479-021-04432-2.'
short: M. Tavana, M. Soltanifar, F.J. Santos-Arteaga, Annals of Operations Research
326 (2023) 879–907.
date_created: 2024-04-04T13:38:44Z
date_updated: 2024-04-15T13:07:27Z
department:
- _id: '277'
doi: 10.1007/s10479-021-04432-2
intvolume: ' 326'
issue: '2'
keyword:
- Management Science and Operations Research
- General Decision Sciences
language:
- iso: eng
page: 879-907
publication: Annals of Operations Research
publication_identifier:
issn:
- 0254-5330
- 1572-9338
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Analytical hierarchy process: revolution and evolution'
type: journal_article
user_id: '51811'
volume: 326
year: '2023'
...