Drivers and Barriers of the Digital Innovation Process – Case Study Insights from a German Public University (English)
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https://orcid.org/https://orcid.org/0000-0002-7672-1643
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In:
Business Process Management
: 19th International Conference, BPM 2021, Rome, Italy, September 06–10, 2021, Proceedings
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Chapter: 27
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437-454
;
2021
- Article/Chapter (Book) / Electronic Resource
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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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Additional title:Lect.Notes Computer
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Contributors:Polyvyanyy, Artem ( editor ) / Wynn, Moe Thandar ( editor ) / Van Looy, Amy ( editor ) / Reichert, Manfred ( editor ) / Kleider, Emil ( author ) / Kreuzer, Thomas ( author ) / Lösser, Benedict ( author ) / Oberländer, Anna Maria ( author ) / Eymann, Torsten ( author )
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Conference:International Conference on Business Process Management ; 2021 ; Rome, Italy
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Published in:Business Process Management : 19th International Conference, BPM 2021, Rome, Italy, September 06–10, 2021, Proceedings ; Chapter: 27 ; 437-454Lecture Notes in Computer Science ; 12875 ; 437-454
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Publisher:
- New search for: Springer International Publishing
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Place of publication:Cham
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Publication date:2021-08-28
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Size:18 pages
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ISBN:
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ISSN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
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.
- 1
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Process Automation and Process Mining in ManufacturingRinderle-Ma, Stefanie / Mangler, Juergen et al. | 2021
- 2
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Cognitive Effectiveness of Representations for Process MiningMendling, Jan / Djurica, Djordje / Malinova, Monika et al. | 2021
- 3
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RuM: Declarative Process Mining, DistilledAlman, Anti / Di Ciccio, Claudio / Maggi, Fabrizio Maria / Montali, Marco / van der Aa, Han et al. | 2021
- 4
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Applications of Automated Planning for Business Process ManagementMarrella, Andrea / Chakraborti, Tathagata et al. | 2021
- 5
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Artifact-Driven Process Monitoring: A Viable Solution to Continuously and Autonomously Monitor Business ProcessesMeroni, Giovanni et al. | 2021
- 6
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Weighing the Pros and Cons: Process Discovery with Negative ExamplesSlaats, Tijs / Debois, Søren / Back, Christoffer Olling et al. | 2021
- 7
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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
- 8
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Extracting Decision Models from Textual Descriptions of ProcessesQuishpi, Luis / Carmona, Josep / Padró, Lluís et al. | 2021
- 9
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Robust and Generalizable Predictive Models for Business ProcessesVenkateswaran, Praveen / Muthusamy, Vinod / Isahagian, Vatche / Venkatasubramanian, Nalini et al. | 2021
- 10
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Incremental Predictive Process Monitoring: The Next Activity CasePauwels, Stephen / Calders, Toon et al. | 2021
- 11
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Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business ProcessesWeytjens, Hans / De Weerdt, Jochen et al. | 2021
- 12
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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
- 13
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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
- 14
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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
- 15
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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
- 16
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Aligning Data-Aware Declarative Process Models and Event LogsBergami, Giacomo / Maggi, Fabrizio Maria / Marrella, Andrea / Montali, Marco et al. | 2021
- 17
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A Discounted Cost Function for Fast Alignments of Business ProcessesBoltenhagen, Mathilde / Chatain, Thomas / Carmona, Josep et al. | 2021
- 18
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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
- 19
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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
- 20
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Process Mining on Blockchain Data: A Case Study of AugurHobeck, Richard / Klinkmüller, Christopher / Bandara, H. M. N. Dilum / Weber, Ingo / van der Aalst, Wil M. P. et al. | 2021
- 21
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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
- 22
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Seeing the Forest for the Trees: Group-Oriented Workforce AnalyticsYang, Jing / Ouyang, Chun / ter Hofstede, Arthur H. M. / van der Aalst, Wil M. P. / Leyer, Michael et al. | 2021
- 23
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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
- 24
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A Robust and Accurate Approach to Detect Process Drifts from Event StreamsLu, Yang / Chen, Qifan / Poon, Simon et al. | 2021
- 25
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A Framework for Explainable Concept Drift Detection in Process MiningAdams, Jan Niklas / van Zelst, Sebastiaan J. / Quack, Lara / Hausmann, Kathrin / van der Aalst, Wil M. P. / Rose, Thomas et al. | 2021
- 26
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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
- 27
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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
- 28
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A Stakeholder Engagement Model for Process Improvement InitiativesAbbott, Charon / Bandara, Wasana / French, Erica / Tate, Mary / Mathiesen, Paul et al. | 2021