Zeitschrift: Business & Information Systems Engineering

D

Duda, Sebastian ; Hofmann, Peter ; Urbach, Nils ; Völter, Fabiane ; Zwickel, Amelie:
The Impact of Resource Allocation on the Machine Learning Lifecycle.
In: Business & Information Systems Engineering. Bd. 66 (2024) . - S. 203-219.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-023-00842-7

Doctor, Eileen ; Eymann, Torsten ; Fürstenau, Daniel ; Gersch, Martin ; Hall, Kristina ; Kauffmann, Anna Lina ; Schulte-Althoff, Matthias ; Schlieter, Hannes ; Stark, Jaennette ; Wyrtki, Katrin:
A Maturity Model for Assessing the Digitalization of Public Health Agencies : Development and Evaluation.
In: Business & Information Systems Engineering. Bd. 65 (Juni 2023) . - S. 539-554.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-023-00813-y

F

Fechner, Pascal ; König, Fabian ; Lockl, Jannik ; Röglinger, Maximilian:
How Artificial Intelligence Challenges Tailorable Technology Design : Insights from a Design Study on Individualized Bladder Monitoring.
In: Business & Information Systems Engineering. Bd. 66 (2024) Heft 3 . - S. 357-376.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-024-00872-9

Fridgen, Gilbert ; Körner, Marc-Fabian ; Walters, Steffen ; Weibelzahl, Martin:
Not All Doom and Gloom : How Energy-Intensive and Temporally Flexible Data Center Applications May Actually Promote Renewable Energy Sources.
In: Business & Information Systems Engineering. Bd. 63 (2021) . - S. 243-256.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-021-00686-z

K

Kreuzer, Thomas ; Lindenthal, Anna ; Oberländer, Anna Maria ; Röglinger, Maximilian:
The Effects of Digital Technology on Opportunity Recognition.
In: Business & Information Systems Engineering. Bd. 64 (2022) Heft 1 . - S. 47-64.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-021-00733-9

Keller, Robert ; Ollig, Philipp ; Rövekamp, Patrick:
Pathways to Developing Digital Capabilities within Entrepreneurial Initiatives in Pre-Digital Organizations : A Single Case Study.
In: Business & Information Systems Engineering. Bd. 64 (2022) . - S. 33-46.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-021-00739-3

Kerpedzhiev, Georgi ; König, Ulrich Matthias ; Röglinger, Maximilian ; Rosemann, Michael:
An Exploration into Future Business Process Management Capabilities in View of Digitalization : Results from a Delphi Study.
In: Business & Information Systems Engineering. (2020) .
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-020-00637-0

Kratsch, Wolfgang ; Manderscheid, Jonas ; Röglinger, Maximilian ; Seyfried, Johannes:
Machine Learning in Business Process Monitoring : A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction.
In: Business & Information Systems Engineering. (2020) .
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-020-00645-0

R

Röglinger, Maximilian ; Plattfaut, Ralf ; Borghoff, Vincent ; Kerpedzhiev, Georgi ; Becker, Jörg ; Beverungen, Daniel ; vom Brocke, Jan ; Van Looy, Amy ; del-Río-Ortega, Adela ; Rinderle-Ma, Stefanie ; Rosemann, Michael ; Santoro, Flavia Maria ; Trkman, Peter:
Exogenous Shocks and Business Process Management : A Scholars' Perspective on Challenges and Opportunities.
In: Business & Information Systems Engineering. Bd. 64 (2022) . - S. 669-687.
ISSN 1867-0202
DOI der Verlagsversion: https://doi.org/10.1007/s12599-021-00740-w