---
_id: '23566'
author:
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
- first_name: J.
full_name: Muntermann, J.
last_name: Muntermann
- first_name: A. M.
full_name: Oberländer, A. M.
last_name: Oberländer
- first_name: D.
full_name: Rau, D.
last_name: Rau
- first_name: M.
full_name: Röglinger, M.
last_name: Röglinger
- first_name: T.
full_name: Schoormann, T.
last_name: Schoormann
- first_name: Daniel
full_name: Szopinski, Daniel
id: '36372'
last_name: Szopinski
citation:
ama: 'Kundisch D, Muntermann J, Oberländer AM, et al. An update for taxonomy designers:
Methodological guidance from information systems research. Business & Information
Systems Engineering. 2022;64(4):421-439.'
apa: 'Kundisch, D., Muntermann, J., Oberländer, A. M., Rau, D., Röglinger, M., Schoormann,
T., & Szopinski, D. (2022). An update for taxonomy designers: Methodological
guidance from information systems research. Business & Information Systems
Engineering, 64(4), 421–439.'
bibtex: '@article{Kundisch_Muntermann_Oberländer_Rau_Röglinger_Schoormann_Szopinski_2022,
title={An update for taxonomy designers: Methodological guidance from information
systems research}, volume={64}, number={4}, journal={Business & Information
Systems Engineering}, author={Kundisch, Dennis and Muntermann, J. and Oberländer,
A. M. and Rau, D. and Röglinger, M. and Schoormann, T. and Szopinski, Daniel},
year={2022}, pages={421–439} }'
chicago: 'Kundisch, Dennis, J. Muntermann, A. M. Oberländer, D. Rau, M. Röglinger,
T. Schoormann, and Daniel Szopinski. “An Update for Taxonomy Designers: Methodological
Guidance from Information Systems Research.” Business & Information Systems
Engineering 64, no. 4 (2022): 421–39.'
ieee: 'D. Kundisch et al., “An update for taxonomy designers: Methodological
guidance from information systems research,” Business & Information Systems
Engineering, vol. 64, no. 4, pp. 421–439, 2022.'
mla: 'Kundisch, Dennis, et al. “An Update for Taxonomy Designers: Methodological
Guidance from Information Systems Research.” Business & Information Systems
Engineering, vol. 64, no. 4, 2022, pp. 421–39.'
short: D. Kundisch, J. Muntermann, A.M. Oberländer, D. Rau, M. Röglinger, T. Schoormann,
D. Szopinski, Business & Information Systems Engineering 64 (2022) 421–439.
date_created: 2021-08-30T10:00:24Z
date_updated: 2022-10-21T12:57:05Z
ddc:
- '000'
department:
- _id: '276'
file:
- access_level: closed
content_type: application/pdf
creator: abursig
date_created: 2021-11-08T12:24:31Z
date_updated: 2021-11-08T12:24:31Z
file_id: '27282'
file_name: Kundisch2021_Article_AnUpdateForTaxonomyDesigners.pdf
file_size: 511483
relation: main_file
success: 1
file_date_updated: 2021-11-08T12:24:31Z
has_accepted_license: '1'
intvolume: ' 64'
issue: '4'
language:
- iso: eng
page: 421-439
project:
- _id: '1'
name: SFB 901
- _id: '4'
name: SFB 901 - Project Area C
- _id: '17'
name: SFB 901 - Subproject C5
publication: Business & Information Systems Engineering
publication_status: published
status: public
title: 'An update for taxonomy designers: Methodological guidance from information
systems research'
type: journal_article
user_id: '16205'
volume: 64
year: '2022'
...
---
_id: '33884'
author:
- first_name: Florian
full_name: Laux, Florian
id: '50293'
last_name: Laux
- first_name: Dennis
full_name: Kundisch, Dennis
id: '21117'
last_name: Kundisch
citation:
ama: Laux F, Kundisch D. Judgment or Choice? An Experimental Comparison of Evaluation
Approaches for External Crowdvoting.
apa: Laux, F., & Kundisch, D. (n.d.). Judgment or Choice? An Experimental
Comparison of Evaluation Approaches for External Crowdvoting. Pre-ICIS Global
Sourcing Workshop 2022, Copenhagen, Denmark.
bibtex: '@inproceedings{Laux_Kundisch, title={Judgment or Choice? An Experimental
Comparison of Evaluation Approaches for External Crowdvoting}, author={Laux, Florian
and Kundisch, Dennis} }'
chicago: Laux, Florian, and Dennis Kundisch. “Judgment or Choice? An Experimental
Comparison of Evaluation Approaches for External Crowdvoting,” n.d.
ieee: F. Laux and D. Kundisch, “Judgment or Choice? An Experimental Comparison of
Evaluation Approaches for External Crowdvoting,” presented at the Pre-ICIS Global
Sourcing Workshop 2022, Copenhagen, Denmark.
mla: Laux, Florian, and Dennis Kundisch. Judgment or Choice? An Experimental
Comparison of Evaluation Approaches for External Crowdvoting.
short: 'F. Laux, D. Kundisch, in: n.d.'
conference:
location: Copenhagen, Denmark
name: Pre-ICIS Global Sourcing Workshop 2022
date_created: 2022-10-26T10:04:29Z
date_updated: 2022-10-26T10:05:24Z
department:
- _id: '276'
language:
- iso: eng
project:
- _id: '98'
grant_number: EFRE-0801915
name: Intelligentes Assistenzsystem zur Unterstützung der digitalen Transformation
von Geschäftsmodellen
publication_status: accepted
status: public
title: Judgment or Choice? An Experimental Comparison of Evaluation Approaches for
External Crowdvoting
type: conference_abstract
user_id: '16205'
year: '2022'
...
---
_id: '34046'
author:
- first_name: Christin
full_name: Hoffmann, Christin
last_name: Hoffmann
- first_name: Kirsten
full_name: Thommes, Kirsten
id: '72497'
last_name: Thommes
citation:
ama: Hoffmann C, Thommes K. Seizing the Opportunity for Automation—How Traffic Density
Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions on Human-Machine
Systems. Published online 2022:1-11. doi:10.1109/thms.2022.3212335
apa: Hoffmann, C., & Thommes, K. (2022). Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control. IEEE Transactions
on Human-Machine Systems, 1–11. https://doi.org/10.1109/thms.2022.3212335
bibtex: '@article{Hoffmann_Thommes_2022, title={Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control}, DOI={10.1109/thms.2022.3212335},
journal={IEEE Transactions on Human-Machine Systems}, publisher={Institute of
Electrical and Electronics Engineers (IEEE)}, author={Hoffmann, Christin and Thommes,
Kirsten}, year={2022}, pages={1–11} }'
chicago: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions
on Human-Machine Systems, 2022, 1–11. https://doi.org/10.1109/thms.2022.3212335.
ieee: 'C. Hoffmann and K. Thommes, “Seizing the Opportunity for Automation—How Traffic
Density Determines Truck Drivers’ Use of Cruise Control,” IEEE Transactions
on Human-Machine Systems, pp. 1–11, 2022, doi: 10.1109/thms.2022.3212335.'
mla: Hoffmann, Christin, and Kirsten Thommes. “Seizing the Opportunity for Automation—How
Traffic Density Determines Truck Drivers’ Use of Cruise Control.” IEEE Transactions
on Human-Machine Systems, Institute of Electrical and Electronics Engineers
(IEEE), 2022, pp. 1–11, doi:10.1109/thms.2022.3212335.
short: C. Hoffmann, K. Thommes, IEEE Transactions on Human-Machine Systems (2022)
1–11.
date_created: 2022-11-10T07:49:01Z
date_updated: 2023-01-09T14:05:54Z
department:
- _id: '178'
- _id: '184'
doi: 10.1109/thms.2022.3212335
keyword:
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Human-Computer Interaction
- Signal Processing
- Control and Systems Engineering
- Human Factors and Ergonomics
language:
- iso: eng
page: 1-11
publication: IEEE Transactions on Human-Machine Systems
publication_identifier:
issn:
- 2168-2291
- 2168-2305
publication_status: published
publisher: Institute of Electrical and Electronics Engineers (IEEE)
quality_controlled: '1'
status: public
title: Seizing the Opportunity for Automation—How Traffic Density Determines Truck
Drivers' Use of Cruise Control
type: journal_article
user_id: '72497'
year: '2022'
...
---
_id: '35620'
abstract:
- lang: eng
text: Deep learning models fuel many modern decision support systems, because they
typically provide high predictive performance. Among other domains, deep learning
is used in real-estate appraisal, where it allows to extend the analysis from
hard facts only (e.g., size, age) to also consider more implicit information about
the location or appearance of houses in the form of image data. However, one downside
of deep learning models is their intransparent mechanic of decision making, which
leads to a trade-off between accuracy and interpretability. This limits their
applicability for tasks where a justification of the decision is necessary. Therefore,
in this paper, we first combine different perspectives on interpretability into
a multi-dimensional framework for a socio-technical perspective on explainable
artificial intelligence. Second, we measure the performance gains of using multi-view
deep learning which leverages additional image data (satellite images) for real
estate appraisal. Third, we propose and test a novel post-hoc explainability method
called Grad-Ram. This modified version of Grad-Cam mitigates the intransparency
of convolutional neural networks (CNNs) for predicting continuous outcome variables.
With this, we try to reduce the accuracy-interpretability trade-off of multi-view
deep learning models. Our proposed network architecture outperforms traditional
hedonic regression models by 34% in terms of MAE. Furthermore, we find that the
used satellite images are the second most important predictor after square feet
in our model and that the network learns interpretable patterns about the neighborhood
structure and density.
article_type: original
author:
- first_name: Jan-Peter
full_name: Kucklick, Jan-Peter
id: '77066'
last_name: Kucklick
- first_name: Oliver
full_name: Müller, Oliver
id: '72849'
last_name: Müller
citation:
ama: 'Kucklick J-P, Müller O. Tackling the Accuracy–Interpretability Trade-off:
Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal.
ACM Transactions on Management Information Systems. Published online 2022.
doi:10.1145/3567430'
apa: 'Kucklick, J.-P., & Müller, O. (2022). Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate
Appraisal. ACM Transactions on Management Information Systems. https://doi.org/10.1145/3567430'
bibtex: '@article{Kucklick_Müller_2022, title={Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-based Real Estate
Appraisal}, DOI={10.1145/3567430},
journal={ACM Transactions on Management Information Systems}, publisher={Association
for Computing Machinery (ACM)}, author={Kucklick, Jan-Peter and Müller, Oliver},
year={2022} }'
chicago: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate
Appraisal.” ACM Transactions on Management Information Systems, 2022. https://doi.org/10.1145/3567430.'
ieee: 'J.-P. Kucklick and O. Müller, “Tackling the Accuracy–Interpretability Trade-off:
Interpretable Deep Learning Models for Satellite Image-based Real Estate Appraisal,”
ACM Transactions on Management Information Systems, 2022, doi: 10.1145/3567430.'
mla: 'Kucklick, Jan-Peter, and Oliver Müller. “Tackling the Accuracy–Interpretability
Trade-off: Interpretable Deep Learning Models for Satellite Image-Based Real Estate
Appraisal.” ACM Transactions on Management Information Systems, Association
for Computing Machinery (ACM), 2022, doi:10.1145/3567430.'
short: J.-P. Kucklick, O. Müller, ACM Transactions on Management Information Systems
(2022).
date_created: 2023-01-10T05:16:02Z
date_updated: 2023-01-10T05:20:18Z
department:
- _id: '195'
- _id: '196'
doi: 10.1145/3567430
keyword:
- Interpretability
- Convolutional Neural Network
- Accuracy-Interpretability Trade-Of
- Real Estate Appraisal
- Hedonic Pricing
- Grad-Ram
language:
- iso: eng
main_file_link:
- url: https://dl.acm.org/doi/pdf/10.1145/3567430
publication: ACM Transactions on Management Information Systems
publication_identifier:
issn:
- 2158-656X
- 2158-6578
publication_status: published
publisher: Association for Computing Machinery (ACM)
status: public
title: 'Tackling the Accuracy–Interpretability Trade-off: Interpretable Deep Learning
Models for Satellite Image-based Real Estate Appraisal'
type: journal_article
user_id: '77066'
year: '2022'
...
---
_id: '35647'
author:
- first_name: Beatrice Baaba
full_name: Tawiah, Beatrice Baaba
id: '70577'
last_name: Tawiah
citation:
ama: Tawiah BB. Does education have an impact on patience and risk willingness?
Applied Economics. 2022;54(58):6687-6702. doi:10.1080/00036846.2022.2078780
apa: Tawiah, B. B. (2022). Does education have an impact on patience and risk willingness?
Applied Economics, 54(58), 6687–6702. https://doi.org/10.1080/00036846.2022.2078780
bibtex: '@article{Tawiah_2022, title={Does education have an impact on patience
and risk willingness?}, volume={54}, DOI={10.1080/00036846.2022.2078780},
number={58}, journal={Applied Economics}, author={Tawiah, Beatrice Baaba}, year={2022},
pages={6687–6702} }'
chicago: 'Tawiah, Beatrice Baaba. “Does Education Have an Impact on Patience and
Risk Willingness?” Applied Economics 54, no. 58 (2022): 6687–6702. https://doi.org/10.1080/00036846.2022.2078780.'
ieee: 'B. B. Tawiah, “Does education have an impact on patience and risk willingness?,”
Applied Economics, vol. 54, no. 58, pp. 6687–6702, 2022, doi: 10.1080/00036846.2022.2078780.'
mla: Tawiah, Beatrice Baaba. “Does Education Have an Impact on Patience and Risk
Willingness?” Applied Economics, vol. 54, no. 58, 2022, pp. 6687–702, doi:10.1080/00036846.2022.2078780.
short: B.B. Tawiah, Applied Economics 54 (2022) 6687–6702.
date_created: 2023-01-10T08:14:43Z
date_updated: 2023-01-10T08:15:30Z
department:
- _id: '281'
doi: 10.1080/00036846.2022.2078780
intvolume: ' 54'
issue: '58'
language:
- iso: eng
main_file_link:
- url: https://www.tandfonline.com/doi/full/10.1080/00036846.2022.2078780
page: 6687-6702
publication: Applied Economics
quality_controlled: '1'
status: public
title: Does education have an impact on patience and risk willingness?
type: journal_article
user_id: '53779'
volume: 54
year: '2022'
...
---
_id: '35719'
author:
- first_name: Jens
full_name: Kengelbach, Jens
last_name: Kengelbach
- first_name: Georg
full_name: Keienburg, Georg
last_name: Keienburg
- first_name: Tobias
full_name: Söllner, Tobias
last_name: Söllner
- first_name: Yiran
full_name: Wang, Yiran
last_name: Wang
- first_name: Sönke
full_name: Sievers, Sönke
id: '46447'
last_name: Sievers
- first_name: Daniel
full_name: Friedmann, Daniel
last_name: Friedmann
- first_name: Jesper
full_name: Nielsen, Jesper
last_name: Nielsen
citation:
ama: Kengelbach J, Keienburg G, Söllner T, et al. Green Deals Gain Steam . BCG
M&A Report 2022. Published online 2022.
apa: Kengelbach, J., Keienburg, G., Söllner, T., Wang, Y., Sievers, S., Friedmann,
D., & Nielsen, J. (2022). Green Deals Gain Steam . BCG M&A Report 2022.
bibtex: '@article{Kengelbach_Keienburg_Söllner_Wang_Sievers_Friedmann_Nielsen_2022,
title={Green Deals Gain Steam }, journal={BCG M&A Report 2022}, author={Kengelbach,
Jens and Keienburg, Georg and Söllner, Tobias and Wang, Yiran and Sievers, Sönke
and Friedmann, Daniel and Nielsen, Jesper}, year={2022} }'
chicago: Kengelbach, Jens, Georg Keienburg, Tobias Söllner, Yiran Wang, Sönke Sievers,
Daniel Friedmann, and Jesper Nielsen. “Green Deals Gain Steam .” BCG M&A
Report 2022, 2022.
ieee: J. Kengelbach et al., “Green Deals Gain Steam ,” BCG M&A Report
2022, 2022.
mla: Kengelbach, Jens, et al. “Green Deals Gain Steam .” BCG M&A Report 2022,
2022.
short: J. Kengelbach, G. Keienburg, T. Söllner, Y. Wang, S. Sievers, D. Friedmann,
J. Nielsen, BCG M&A Report 2022 (2022).
date_created: 2023-01-10T09:26:24Z
date_updated: 2023-01-10T09:31:54Z
department:
- _id: '275'
language:
- iso: eng
publication: BCG M&A Report 2022
status: public
title: 'Green Deals Gain Steam '
type: journal_article
user_id: '26589'
year: '2022'
...
---
_id: '35722'
author:
- first_name: Jens
full_name: Kengelbach, Jens
last_name: Kengelbach
- first_name: Daniel
full_name: Friedman, Daniel
last_name: Friedman
- first_name: Georg
full_name: Keienburg, Georg
last_name: Keienburg
- first_name: Dominik
full_name: Degen, Dominik
last_name: Degen
- first_name: Tobias
full_name: Söllner, Tobias
last_name: Söllner
- first_name: Yiran
full_name: Wang, Yiran
last_name: Wang
- first_name: Sönke
full_name: Sievers, Sönke
id: '46447'
last_name: Sievers
citation:
ama: Kengelbach J, Friedman D, Keienburg G, et al. Do Green Deals Create Value?
. BCG M&A Report 2022. Published online 2022.
apa: Kengelbach, J., Friedman, D., Keienburg, G., Degen, D., Söllner, T., Wang,
Y., & Sievers, S. (2022). Do Green Deals Create Value? . BCG M&A Report
2022.
bibtex: '@article{Kengelbach_Friedman_Keienburg_Degen_Söllner_Wang_Sievers_2022,
title={Do Green Deals Create Value? }, journal={BCG M&A Report 2022}, author={Kengelbach,
Jens and Friedman, Daniel and Keienburg, Georg and Degen, Dominik and Söllner,
Tobias and Wang, Yiran and Sievers, Sönke}, year={2022} }'
chicago: Kengelbach, Jens, Daniel Friedman, Georg Keienburg, Dominik Degen, Tobias
Söllner, Yiran Wang, and Sönke Sievers. “Do Green Deals Create Value? .” BCG
M&A Report 2022, 2022.
ieee: J. Kengelbach et al., “Do Green Deals Create Value? ,” BCG M&A
Report 2022, 2022.
mla: Kengelbach, Jens, et al. “Do Green Deals Create Value? .” BCG M&A Report
2022, 2022.
short: J. Kengelbach, D. Friedman, G. Keienburg, D. Degen, T. Söllner, Y. Wang,
S. Sievers, BCG M&A Report 2022 (2022).
date_created: 2023-01-10T09:33:26Z
date_updated: 2023-01-10T09:35:26Z
department:
- _id: '275'
language:
- iso: eng
publication: BCG M&A Report 2022
status: public
title: 'Do Green Deals Create Value? '
type: journal_article
user_id: '26589'
year: '2022'
...
---
_id: '35728'
abstract:
- lang: eng
text: "Abstract\r\nTechnological developments such
as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence
continue to drive the digital transformation of business and society. With the
advent of platform-based ecosystems and their potential to address complex challenges,
there is a trend towards greater interconnectedness between different stakeholders
to co-create services based on the provision and use of data. While previous research
on digital transformation mainly focused on digital transformation within
organizations, it is of growing importance to understand the implications for
digital transformation on different layers (e.g., interorganizational cooperation
and platform ecosystems). In particular, the conceptualization and implications
of public data spaces and related ecosystems provide promising research opportunities.
This special issue contains five papers on the topic of digital transformation
and, with the editorial, further contributes by providing an initial conceptualization
of public data spaces' potential to foster innovative progress and digital transformation
from a management perspective."
author:
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Thomas
full_name: Hess, Thomas
last_name: Hess
- first_name: Antonia
full_name: Köster, Antonia
last_name: Köster
- first_name: Christiane
full_name: Lehrer, Christiane
last_name: Lehrer
citation:
ama: 'Beverungen D, Hess T, Köster A, Lehrer C. From private digital platforms to
public data spaces: implications for the digital transformation. Electronic
Markets. 2022;32(2):493-501. doi:10.1007/s12525-022-00553-z'
apa: 'Beverungen, D., Hess, T., Köster, A., & Lehrer, C. (2022). From private
digital platforms to public data spaces: implications for the digital transformation.
Electronic Markets, 32(2), 493–501. https://doi.org/10.1007/s12525-022-00553-z'
bibtex: '@article{Beverungen_Hess_Köster_Lehrer_2022, title={From private digital
platforms to public data spaces: implications for the digital transformation},
volume={32}, DOI={10.1007/s12525-022-00553-z},
number={2}, journal={Electronic Markets}, publisher={Springer Science and Business
Media LLC}, author={Beverungen, Daniel and Hess, Thomas and Köster, Antonia and
Lehrer, Christiane}, year={2022}, pages={493–501} }'
chicago: 'Beverungen, Daniel, Thomas Hess, Antonia Köster, and Christiane Lehrer.
“From Private Digital Platforms to Public Data Spaces: Implications for the Digital
Transformation.” Electronic Markets 32, no. 2 (2022): 493–501. https://doi.org/10.1007/s12525-022-00553-z.'
ieee: 'D. Beverungen, T. Hess, A. Köster, and C. Lehrer, “From private digital platforms
to public data spaces: implications for the digital transformation,” Electronic
Markets, vol. 32, no. 2, pp. 493–501, 2022, doi: 10.1007/s12525-022-00553-z.'
mla: 'Beverungen, Daniel, et al. “From Private Digital Platforms to Public Data
Spaces: Implications for the Digital Transformation.” Electronic Markets,
vol. 32, no. 2, Springer Science and Business Media LLC, 2022, pp. 493–501, doi:10.1007/s12525-022-00553-z.'
short: D. Beverungen, T. Hess, A. Köster, C. Lehrer, Electronic Markets 32 (2022)
493–501.
date_created: 2023-01-10T09:52:01Z
date_updated: 2023-01-10T09:53:39Z
department:
- _id: '526'
doi: 10.1007/s12525-022-00553-z
intvolume: ' 32'
issue: '2'
keyword:
- Management of Technology and Innovation
- Marketing
- Computer Science Applications
- Economics and Econometrics
- Business and International Management
language:
- iso: eng
page: 493-501
publication: Electronic Markets
publication_identifier:
issn:
- 1019-6781
- 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'From private digital platforms to public data spaces: implications for the
digital transformation'
type: journal_article
user_id: '21671'
volume: 32
year: '2022'
...
---
_id: '35732'
abstract:
- lang: eng
text: AbstractWhile the Information Systems (IS)
discipline has researched digital platforms extensively, the body of knowledge
appertaining to platforms still appears fragmented and lacking conceptual consistency.
Based on automated text mining and unsupervised machine learning, we collect,
analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising
11,049 papers spanning 44 years of research activity. From a cluster analysis
concerning platform concepts’ semantically most similar words, we identify six
research streams on platforms, each with their own platform terms. Based on interpreting
the identified concepts vis-à-vis the extant research and considering a temporal
perspective on the concepts’ application, we present a lexicon of platform concepts,
to guide further research on platforms in the IS discipline. Researchers and managers
can build on our results to position their work appropriately, applying a specific
theoretical perspective on platforms in isolation or combining multiple perspectives
to study platform phenomena at a more abstract level.
author:
- first_name: Christian
full_name: Bartelheimer, Christian
id: '49160'
last_name: Bartelheimer
- first_name: Philipp
full_name: zur Heiden, Philipp
id: '64394'
last_name: zur Heiden
- first_name: Hedda
full_name: Lüttenberg, Hedda
last_name: Lüttenberg
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
citation:
ama: 'Bartelheimer C, zur Heiden P, Lüttenberg H, Beverungen D. Systematizing the
lexicon of platforms in information systems: a data-driven study. Electronic
Markets. 2022;32(1):375-396. doi:10.1007/s12525-022-00530-6'
apa: 'Bartelheimer, C., zur Heiden, P., Lüttenberg, H., & Beverungen, D. (2022).
Systematizing the lexicon of platforms in information systems: a data-driven study.
Electronic Markets, 32(1), 375–396. https://doi.org/10.1007/s12525-022-00530-6'
bibtex: '@article{Bartelheimer_zur Heiden_Lüttenberg_Beverungen_2022, title={Systematizing
the lexicon of platforms in information systems: a data-driven study}, volume={32},
DOI={10.1007/s12525-022-00530-6},
number={1}, journal={Electronic Markets}, publisher={Springer Science and Business
Media LLC}, author={Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg,
Hedda and Beverungen, Daniel}, year={2022}, pages={375–396} }'
chicago: 'Bartelheimer, Christian, Philipp zur Heiden, Hedda Lüttenberg, and Daniel
Beverungen. “Systematizing the Lexicon of Platforms in Information Systems: A
Data-Driven Study.” Electronic Markets 32, no. 1 (2022): 375–96. https://doi.org/10.1007/s12525-022-00530-6.'
ieee: 'C. Bartelheimer, P. zur Heiden, H. Lüttenberg, and D. Beverungen, “Systematizing
the lexicon of platforms in information systems: a data-driven study,” Electronic
Markets, vol. 32, no. 1, pp. 375–396, 2022, doi: 10.1007/s12525-022-00530-6.'
mla: 'Bartelheimer, Christian, et al. “Systematizing the Lexicon of Platforms in
Information Systems: A Data-Driven Study.” Electronic Markets, vol. 32,
no. 1, Springer Science and Business Media LLC, 2022, pp. 375–96, doi:10.1007/s12525-022-00530-6.'
short: C. Bartelheimer, P. zur Heiden, H. Lüttenberg, D. Beverungen, Electronic
Markets 32 (2022) 375–396.
date_created: 2023-01-10T10:00:55Z
date_updated: 2023-01-10T10:02:07Z
department:
- _id: '526'
doi: 10.1007/s12525-022-00530-6
intvolume: ' 32'
issue: '1'
keyword:
- Management of Technology and Innovation
- Marketing
- Computer Science Applications
- Economics and Econometrics
- Business and International Management
language:
- iso: eng
page: 375-396
publication: Electronic Markets
publication_identifier:
issn:
- 1019-6781
- 1422-8890
publication_status: published
publisher: Springer Science and Business Media LLC
status: public
title: 'Systematizing the lexicon of platforms in information systems: a data-driven
study'
type: journal_article
user_id: '21671'
volume: 32
year: '2022'
...
---
_id: '35741'
abstract:
- lang: eng
text: AbstractBusiness process management (BPM)
drives corporate success through effective and efficient processes. In recent
decades, knowledge has been accumulated regarding the identification, discovery,
analysis, design, implementation, and monitoring of business processes. This includes
methods and tools for tackling various kinds of process change such as continuous
process improvement, process reengineering, process innovation, and process drift.
However, exogenous shocks, which lead to unintentional and radical process change,
have been neglected in BPM research although they severely affect an organization’s
context, strategy, and business processes. This research note conceptualizes the
interplay of exogenous shocks and BPM in terms of the effects that such shocks
can have on organizations’ overall process performance over time. On this foundation,
related challenges and opportunities for BPM via several rounds of idea generation
and consolidation within a diverse team of BPM scholars are identified. The paper
discusses findings in light of extant literature from BPM and related disciplines,
as well as present avenues for future (BPM) research to invigorate the academic
discourse on the topic.
alternative_title:
- A Scholars’ Perspective on Challenges and Opportunities
author:
- first_name: Maximilian
full_name: Röglinger, Maximilian
last_name: Röglinger
- first_name: Ralf
full_name: Plattfaut, Ralf
last_name: Plattfaut
- first_name: Vincent
full_name: Borghoff, Vincent
last_name: Borghoff
- first_name: Georgi
full_name: Kerpedzhiev, Georgi
last_name: Kerpedzhiev
- first_name: Jörg
full_name: Becker, Jörg
last_name: Becker
- first_name: Daniel
full_name: Beverungen, Daniel
id: '59677'
last_name: Beverungen
- first_name: Jan
full_name: vom Brocke, Jan
last_name: vom Brocke
- first_name: Amy
full_name: Van Looy, Amy
last_name: Van Looy
- first_name: Adela
full_name: del-Río-Ortega, Adela
last_name: del-Río-Ortega
- first_name: Stefanie
full_name: Rinderle-Ma, Stefanie
last_name: Rinderle-Ma
- first_name: Michael
full_name: Rosemann, Michael
last_name: Rosemann
- first_name: Flavia Maria
full_name: Santoro, Flavia Maria
last_name: Santoro
- first_name: Peter
full_name: Trkman, Peter
last_name: Trkman
citation:
ama: Röglinger M, Plattfaut R, Borghoff V, et al. Exogenous Shocks and Business
Process Management. Business & Information Systems Engineering.
2022;64(5):669-687. doi:10.1007/s12599-021-00740-w
apa: Röglinger, M., Plattfaut, R., Borghoff, V., Kerpedzhiev, G., Becker, J., Beverungen,
D., vom Brocke, J., Van Looy, A., del-Río-Ortega, A., Rinderle-Ma, S., Rosemann,
M., Santoro, F. M., & Trkman, P. (2022). Exogenous Shocks and Business Process
Management. Business & Information Systems Engineering, 64(5),
669–687. https://doi.org/10.1007/s12599-021-00740-w
bibtex: '@article{Röglinger_Plattfaut_Borghoff_Kerpedzhiev_Becker_Beverungen_vom
Brocke_Van Looy_del-Río-Ortega_Rinderle-Ma_et al._2022, title={Exogenous Shocks
and Business Process Management}, volume={64}, DOI={10.1007/s12599-021-00740-w},
number={5}, journal={Business & Information Systems Engineering}, publisher={Springer
Science and Business Media LLC}, author={Röglinger, Maximilian and Plattfaut,
Ralf and Borghoff, Vincent and Kerpedzhiev, Georgi and Becker, Jörg and Beverungen,
Daniel and vom Brocke, Jan and Van Looy, Amy and del-Río-Ortega, Adela and Rinderle-Ma,
Stefanie and et al.}, year={2022}, pages={669–687} }'
chicago: 'Röglinger, Maximilian, Ralf Plattfaut, Vincent Borghoff, Georgi Kerpedzhiev,
Jörg Becker, Daniel Beverungen, Jan vom Brocke, et al. “Exogenous Shocks and Business
Process Management.” Business & Information Systems Engineering
64, no. 5 (2022): 669–87. https://doi.org/10.1007/s12599-021-00740-w.'
ieee: 'M. Röglinger et al., “Exogenous Shocks and Business Process Management,”
Business & Information Systems Engineering, vol. 64, no. 5, pp.
669–687, 2022, doi: 10.1007/s12599-021-00740-w.'
mla: Röglinger, Maximilian, et al. “Exogenous Shocks and Business Process Management.”
Business & Information Systems Engineering, vol. 64, no. 5, Springer
Science and Business Media LLC, 2022, pp. 669–87, doi:10.1007/s12599-021-00740-w.
short: M. Röglinger, R. Plattfaut, V. Borghoff, G. Kerpedzhiev, J. Becker, D. Beverungen,
J. vom Brocke, A. Van Looy, A. del-Río-Ortega, S. Rinderle-Ma, M. Rosemann, F.M.
Santoro, P. Trkman, Business & Information Systems Engineering 64 (2022)
669–687.
date_created: 2023-01-10T10:11:16Z
date_updated: 2023-01-10T10:11:56Z
department:
- _id: '526'
doi: 10.1007/s12599-021-00740-w
intvolume: ' 64'
issue: '5'
keyword:
- Information Systems
language:
- iso: eng
page: 669-687
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: Exogenous Shocks and Business Process Management
type: journal_article
user_id: '21671'
volume: 64
year: '2022'
...