Computers in Industry

call to the community, discussed and refined in a workshop setting, and described here in detail, including a motivation why these problems are worth investigating. This overview may serve the purpose of inspiring both novice and advanced scholars who are interested in the radical new ideas for the analysis, design, and management of work processes using information technology.

[1]  Wil M. P. van der Aalst,et al.  Freezing Sub-Models During Incremental Process Discovery: Extended Version , 2021, ER.

[2]  Fabrizio Maria Maggi,et al.  Beyond arrows in process models: A user study on activity dependences and their rationales , 2021, Inf. Syst..

[3]  Amy Van Looy.  How the COVID‐19 pandemic can stimulate more radical business process improvements: Using the metaphor of a tree , 2021, Knowledge and Process Management.

[4]  Jan Mendling,et al.  The Business Process Design Space for exploring process redesign alternatives , 2021, Bus. Process. Manag. J..

[5]  Yara Rizk,et al.  A Conversational Digital Assistant for Intelligent Process Automation , 2020, BPM.

[6]  Maximilian Röglinger,et al.  Customer-centric prioritization of process improvement projects , 2020, Decis. Support Syst..

[7]  Dirk Fahland,et al.  Multi-Dimensional Event Data in Graph Databases , 2020, Journal on Data Semantics.

[8]  Massimiliano de Leoni,et al.  Event abstraction in process mining: literature review and taxonomy , 2020, Granular Computing.

[9]  Michael Rosemann,et al.  An Exploration into Future Business Process Management Capabilities in View of Digitalization , 2020, Bus. Inf. Syst. Eng..

[10]  Jan vom Brocke,et al.  Exploring Explorative BPM - Setting the Ground for Future Research , 2019, BPM.

[11]  Marco Montali,et al.  Modeling and Reasoning over Declarative Data-Aware Processes with Object-Centric Behavioral Constraints , 2019, BPM.

[12]  Hye-Young Paik,et al.  Business process improvement with the AB-BPM methodology , 2019, Inf. Syst..

[13]  E. Sverdlov.  Incremental Science: Papers and Grants, Yes; Discoveries, No , 2018, Molecular Genetics, Microbiology and Virology.

[14]  Heiner Stuckenschmidt,et al.  A probabilistic evaluation procedure for process model matching techniques , 2018, Data Knowl. Eng..

[15]  Marlon Dumas,et al.  A Petri Nets based Generic Genetic Algorithm framework for resource optimization in business processes , 2018, Simul. Model. Pract. Theory.

[16]  Jan Mendling,et al.  Identifying do's and don'ts using the integrated business process management framework , 2018, Bus. Process. Manag. J..

[17]  Ingo Weber,et al.  Analyzing control flow information to improve the effectiveness of process model matching techniques , 2017, Decis. Support Syst..

[18]  Maria Ganzha,et al.  Semantic interoperability in the Internet of Things: An overview from the INTER-IoT perspective , 2017, J. Netw. Comput. Appl..

[19]  Fabio Casati,et al.  Activity Matching with Human Intelligence , 2016, BPM.

[20]  Ernest Davis,et al.  Commonsense reasoning and commonsense knowledge in artificial intelligence , 2015, Commun. ACM.

[21]  Daniel Beverungen,et al.  Exploring the Interplay of the Design and Emergence of Business Processes as Organizational Routines , 2014, Business & Information Systems Engineering.

[22]  N. Bennett,et al.  What a Difference a Word Makes: Understanding Threats to Performance in a VUCA World , 2014 .

[23]  Peter Loos,et al.  The Process Model Matching Contest 2015 , 2013, EMISA.

[24]  Jan Mendling,et al.  Increasing Recall of Process Model Matching by Improved Activity Label Matching , 2013, BPM.

[25]  W.M.P. van der Aalst,et al.  Business Process Management: A Comprehensive Survey , 2013 .

[26]  Manfred Reichert,et al.  Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies , 2012 .

[27]  J. Gitschier.  Scientist Citizen: An Interview with Bruce Alberts , 2012, PLoS Genetics.

[28]  Mathias Weske,et al.  Case handling: a new paradigm for business process support , 2005, Data Knowl. Eng..

[29]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[30]  Wiebe E. Bijker,et al.  Science in action : how to follow scientists and engineers through society , 1989 .

[31]  Gemma Di Federico,et al.  Granularity in Process Mining: Can We Fix It? , 2021, Problems@BPM.

[32]  Luise Pufahl,et al.  A Method for Debugging Process Discovery Pipelines to Analyze the Consistency of Model Properties , 2021, BPM.

[33]  Hajo A. Reijers,et al.  Business Process Management: The evolution of a discipline , 2021, Comput. Ind..

[34]  Ingo Weber,et al.  Every apprentice needs a master: Feedback-based effectiveness improvements for process model matching , 2021, Inf. Syst..

[35]  John C. Merideth,et al.  Process portfolio management for enhanced digital readiness: Insights from a large Australian bank , 2020, ICIS.

[36]  Jan Mendling,et al.  25 Challenges of Semantic Process Modeling , 2014 .

[37]  Wil M.P. van der Aalst,et al.  "Mine your own business" : using process mining to turn big data into real value , 2013, ECIS 2013.

[38]  B G M E Blobel,et al.  Semantic Interoperability , 2006, Methods of Information in Medicine.

[39]  Christoph Bussler,et al.  Workflow Management: Modeling Concepts, Architecture and Implementation , 1996 .

[40]  H. Harrington,et al.  Improving business processes , 1991 .