Drivers and Barriers of the Digital Innovation Process — Case Study Insights from a German Public University (English)
- New search for: Kleider, Emil
- New search for: Kreuzer, Thomas
- New search for: Lösser, Benedict
- New search for: Oberländer, Anna Maria
- New search for: Eymann, Torsten
- New search for: Kleider, Emil
- New search for: Kreuzer, Thomas
- New search for: Lösser, Benedict
- New search for: Oberländer, Anna Maria
- New search for: Eymann, Torsten
In:
Business process management
; 437-454
;
2021
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ISBN:
- Conference paper / Print
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Title:Drivers and Barriers of the Digital Innovation Process — Case Study Insights from a German Public University
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Contributors:Kleider, Emil ( author ) / Kreuzer, Thomas ( author ) / Lösser, Benedict ( author ) / Oberländer, Anna Maria ( author ) / Eymann, Torsten ( author )
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Conference:BPM ; 19. ; 2021 ; Rom; Online
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Published in:Business process management ; 437-454
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Publisher:
- New search for: Springer
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Place of publication:Cham, Switzerland
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Publication date:2021
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ISBN:
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Type of media:Conference paper
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Type of material:Print
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Language:English
- New search for: 54.80
- Further information on Basic classification
- New search for: 658.5
- Further information on Dewey Decimal Classification
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Keywords:
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Classification:
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Source:
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 3
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Process Automation and Process Mining in ManufacturingRinderle-Ma, Stefanie / Mangler, Juergen et al. | 2021
- 17
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Cognitive Effectiveness of Representations for Process MiningMendling, Jan / Djurica, Djordje / Malinova, Monika et al. | 2021
- 23
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RuM: Declarative Process Mining, DistilledAlman, Anti / Ciccio, Claudio Di / Maggi, Fabrizio Maria / Montali, Marco / Aa, Han van der et al. | 2021
- 30
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Applications of Automated Planning for Business Process ManagementMarrella, Andrea / Chakraborti, Tathagata et al. | 2021
- 37
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Artifact-Driven Process Monitoring: A Viable Solution to Continuously and Autonomously Monitor Business ProcessesMeroni, Giovanni et al. | 2021
- 47
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Weighing the Pros and Cons: Process Discovery with Negative ExamplesSlaats, Tijs / Debois, Søren / Back, Christoffer Olling et al. | 2021
- 65
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A Method for Debugging Process Discovery Pipelines to Analyze the Consistency of Model PropertiesKlinkmüller, Christopher / Seeliger, Alexander / Müller, Richard / Pufahl, Luise / Weber, Ingo et al. | 2021
- 85
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Extracting Decision Models from Textual Descriptions of ProcessesQuishpi, Luis / Carmona, Josep / Padró, Lluís et al. | 2021
- 105
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Robust and Generalizable Predictive Models for Business ProcessesVenkateswaran, Praveen / Muthusamy, Vinod / Isahagian, Vatche / Venkatasubramanian, Nalini et al. | 2021
- 123
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Incremental Predictive Process Monitoring: The Next Activity CasePauwels, Stephen / Calders, Toon et al. | 2021
- 141
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Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business ProcessesWeytjens, Hans / Weerdt, Jochen De et al. | 2021
- 161
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Zoom and Enhance: Action Refinement via Subprocesses in Timed Declarative ProcessesNormann, Håkon / Debois, Søren / Slaats, Tijs / Hildebrandt, Thomas T. et al. | 2021
- 179
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Delta-BPMN: A Concrete Language and Verifier for Data-Aware BPMNGhilardi, Silvio / Gianola, Alessandro / Montali, Marco / Rivkin, Andrey et al. | 2021
- 197
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A Real-Time Method for Detecting Temporary Process Variants in Event Log DataChouhan, Sudhanshu / Wilbik, Anna / Dijkman, Remco et al. | 2021
- 217
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CoCoMoT: Conformance Checking of Multi-perspective Processes via SMTFelli, Paolo / Gianola, Alessandro / Montali, Marco / Rivkin, Andrey / Winkler, Sarah et al. | 2021
- 235
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Aligning Data-Aware Declarative Process Models and Event LogsBergami, Giacomo / Maggi, Fabrizio Maria / Marrella, Andrea / Montali, Marco et al. | 2021
- 252
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A Discounted Cost Function for Fast Alignments of Business ProcessesBoltenhagen, Mathilde / Chatain, Thomas / Carmona, Josep et al. | 2021
- 273
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Task Clustering Method Using User Interaction Logs to Plan RPA IntroductionUrabe, Yuki / Yagi, Sayaka / Tsuchikawa, Kimio / Oishi, Haruo et al. | 2021
- 289
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From Symbolic RPA to Intelligent RPA: Challenges for Developing and Operating Intelligent Software RobotsHerm, Lukas-Valentin / Janiesch, Christian / Reijers, Hajo A. / Seubert, Franz et al. | 2021
- 306
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Process Mining on Blockchain Data: A Case Study of AugurHobeck, Richard / Klinkmüller, Christopher / Bandara, H. M. N. Dilum / Weber, Ingo / Aalst, Wil M. P. van der et al. | 2021
- 327
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Multivariate Business Process Representation Learning Utilizing Gramian Angular Fields and Convolutional Neural NetworksPfeiffer, Peter / Lahann, Johannes / Fettke, Peter et al. | 2021
- 345
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Seeing the Forest for the Trees: Group-Oriented Workforce AnalyticsYang, Jing / Ouyang, Chun / Hofstede, Arthur H. M. ter / Aalst, Wil M. P. van der / Leyer, Michael et al. | 2021
- 363
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A Case Study of Inconsistency in Process Mining Use: Implications for the Theory of Effective UseEden, Rebekah / Syed, Rehan / Leemans, Sander J. J. / Buijs, Joos A. C. M. et al. | 2021
- 383
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A Robust and Accurate Approach to Detect Process Drifts from Event StreamsLu, Yang / Chen, Oifan / Poon, Simon et al. | 2021
- 400
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A Framework for Explainable Concept Drift Detection in Process MiningAdams, Jan Niklas / Zelst, Sebastiaan J. van / Quack, Lara / Hausmann, Kathrin / Aalst, Wil M. P. van der / Rose, Thomas et al. | 2021
- 417
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Graph Autoencoders for Business Process Anomaly DetectionHuo, Siyu / Völzer, Hagen / Reddy, Prabhat / Agarwal, Prerna / Isahagian, Vatche / Muthusamy, Vinod et al. | 2021
- 437
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Drivers and Barriers of the Digital Innovation Process — Case Study Insights from a German Public UniversityKleider, Emil / Kreuzer, Thomas / Lösser, Benedict / Oberländer, Anna Maria / Eymann, Torsten et al. | 2021
- 455
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A Stakeholder Engagement Model for Process Improvement InitiativesAbbott, Charon / Bandara, Wasana / French, Erica / Tate, Mary / Mathiesen, Paul et al. | 2021