Enterprise, Business-Process and Information Systems Modeling 22nd International Conference, BPMDS 2021, and 26th International Conference, EMMSAD 2021, Held at CAiSE 2021, Melbourne, VIC, Australia, June 28-29, 2021, Proceedings

This book contains the proceedings of two long-running events held along with the CAiSE conference relating to the areas of enterprise, business-process and information systems modeling: * the 22nd International Conference on Business Process Modeling, Development and Support, BPMDS 2021, and * the...

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Bibliographic Details
Main Authors Augusto, Adriano, Gill, Asif, Nurcan, Selmin, Reinhartz-Berger, Iris, Schmidt, Rainer, Zdravkovic, Jelena
Format eBook Conference Proceeding Book
LanguageEnglish
Published Cham Springer Nature 2021
Springer International Publishing AG
Springer International Publishing
Edition1
SeriesLecture Notes in Business Information Processing
Subjects
Capability Modeling
Computer and Systems Sciences
Computer Applications
Computer Science
Data processing Computer science
data- och systemvetenskap
Enterprise Modeling
Information systems engineering
IT in Business
Management information systems-Congresses
Requirements Engineering
Software Engineering/Programming and Operating Systems
Online AccessGet full text
ISBN9783030791865
3030791866
9783030791858
3030791858
ISSN1865-1348
1865-1356
DOI10.1007/978-3-030-79186-5

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Table of Contents:
  • Design Thinking and Enterprise Modeling: An Investigation of Eight Enterprise Architecture Management Projects -- 1 Introduction -- 2 Background -- 2.1 Design Thinking -- 2.2 Enterprise Architecture Management (EAM) and Architecture Modeling -- 2.3 For Enterprise Modeling (4EM) and Goals Modeling -- 3 4EM as a Design Thinking Method -- 3.1 Participatory Aspects -- 3.2 Interdisciplinary Aspects -- 3.3 Human-Centeredness -- 3.4 Personal Characteristics of a Design Thinker -- 3.5 Iteration and Experimentation -- 3.6 Industrial Case of 4EM Goals Modeling for Design Thinking -- 4 Method -- 4.1 Research Design -- 4.2 Design of the Questionnaire -- 4.3 Data Preprocessing -- 5 Data Analysis -- 5.1 Goal Modeling Component and the Understanding of EAM Project Goals -- 5.2 Goal Modeling and the Added-Value of the Project Artefacts -- 5.3 Preparedness of the Design Team vs. Perceived Usefulness of the Method -- 6 Recommendations for Method Application -- 7 Summary, Limitations and Future Work -- References -- Handling Models and Modeling Methods (EMMSAD 2021) -- Formalizing Conceptual Modeling Methods with METAMORPH -- 1 Formalization in Conceptual Modeling -- 2 Conceptualization of the MetaMorph Formalism -- 3 Formalizing the ProVis Modeling Language-A Proof of Concept -- 3.1 Object Types -- 3.2 Relation Types -- 3.3 Attributes -- 3.4 Additional Symbols -- 3.5 Constraints -- 3.6 Formalizing Graphical Models -- 4 Lessons Learned -- 5 Conclusion and Outlook -- References -- Situation-Specific Business Model Development Methods for Mobile App Developers -- 1 Introduction -- 2 Background and Related Work -- 2.1 Business Model Development -- 2.2 Situational Method Engineering -- 3 Research Approach -- 4 Creation of Business Model Development Methods -- 4.1 Creation of Method Base -- 4.2 Construction of Development Method -- 4.3 Tool-Support for Method Development
  • 3 The VFOC Process Reference Model -- 3.1 Model Structure -- 3.2 Simulation -- 4 Discussion -- 4.1 Process Reference Model Quality -- 5 Summary -- References -- Enterprise Modeling (EMMSAD 2021) -- Participatory Modeling from a Stakeholder Perspective: On the Influence of Collaboration and Revisions on Psychological Ownership and Perceived Model Quality -- 1 Introduction -- 2 State of the Art and Theoretical Background -- 2.1 Participatory and Collaborative Enterprise Modeling -- 2.2 Psychological Ownership -- 2.3 Model Quality as Subjective Target -- 3 Research Method -- 3.1 Experimental Design -- 3.2 Measuring the Dependent Variables -- 3.3 Evaluation Methods -- 3.4 Sample -- 4 Results -- 4.1 Factor and Reliability Analyses -- 4.2 Analysis Regarding Psychological Ownership -- 4.3 Analysis Regarding Perceived Model Quality -- 5 Discussion -- 5.1 Summary and Interpretation -- 5.2 Limitations -- 5.3 Implications for Future Research -- References -- Reference Service Model for Federated Identity Management -- 1 Introduction -- 2 Motivating Scenario -- 3 Related Approaches -- 4 Federated Identity Management Service Model -- 5 Discussion -- 5.1 Application of the Reference Architecture on the Scenario -- 5.2 Analysis of the FIMSM Based on the Problem Statement -- 5.3 Adaptation for Kerberos -- 6 Conclusion and Outlook -- References -- Traceability from the Business Value Model to the Enterprise Architecture: A Case Study -- 1 Introduction -- 2 Methodology and Research Questions -- 3 Redesigned Guidelines -- 4 Case Study -- 4.1 The Company -- 4.2 Application of the Guidelines -- 4.3 Quantification -- 4.4 Expert Evaluations -- 5 Related Work -- 6 Discussion -- 6.1 Traceability -- 6.2 A Business Model-Driven Method for EA Design -- 6.3 Validity -- 7 Conclusion and Future Work -- References
  • 5 Case Study on Local Event Platform
  • 3.2 Consideration of Process Variants -- 4 Evaluation -- 4.1 Framework Evaluation -- 4.2 Variants -- 4.3 When to Expect Contribution of Inter-case Properties -- 5 Related Work -- 6 Conclusion -- References -- Towards Reliable Business Process Simulation: A Framework to Integrate ERP Systems -- 1 Introduction -- 2 Related Work -- 3 A Framework for the Integration of ERP Systems -- 3.1 ERP System -- 3.2 Simulation Engine -- 3.3 Transformation Engine -- 4 Implementation -- 4.1 ERP System: SAP ERP ECC 6.0 -- 4.2 Simulation Engine: CPN Tools -- 4.3 Transformation Engine: ProM Plug-In -- 5 Proof of Concept -- 5.1 Experimental Design -- 5.2 Scenario 1: Low Conversion Rate -- 5.3 Scenario 2: Manual Price Changes -- 5.4 Scenario 3: Frequent Cancellation of Orders -- 6 Conclusion -- References -- Modeling Languages and Reference Models (BPMDS 2021) -- Supporting Data-Aware Processes with MERODE -- 1 Introduction and Motivation -- 2 Related Work -- 3 Integrating Process and Domain Modelling -- 3.1 Architectural Layers -- 3.2 Layers in the MERODE Approach -- 3.3 Example -- 3.4 Proof of Concept of Model Integration -- 4 Evaluation -- 4.1 General Properties -- 4.2 Individual Requirements -- 5 Discussion -- 6 Conclusion -- References -- Evaluating Perceived Usefulness and Ease of Use of CMMN and DCR -- 1 Introduction -- 2 Background -- 2.1 Users Perceptions in Business Process Management -- 2.2 Dynamic Condition Response (DCR) -- 2.3 Case Management Model and Notation (CMMN) -- 3 Research Method -- 3.1 Case Description -- 4 Result -- 4.1 Sample DCR Model -- 4.2 Sample CMMN Model -- 4.3 Perception Analysis -- 4.4 Discussion on Biases and Threats to Validity -- 5 Conclusion -- References -- Subject-Oriented Reference Model for Virtual Factory Operations Commissioning -- 1 Introduction -- 2 Fundamentals -- 2.1 Subject Orientation -- 2.2 Process Reference Model
  • 4.3 Step 3: Detecting Change Points -- 5 Conclusion -- References -- Detecting the "Split-Cases" Workaround in Event Logs -- 1 Introduction -- 2 Problem Definition -- 2.1 Motivating Example -- 2.2 Problem Formalization -- 3 Approach -- 3.1 Preliminary Steps and Inputs -- 3.2 Detection Algorithm -- 4 Evaluation -- 4.1 Experiments Using Simulated Event Logs -- 4.2 Experimenting with a Real-Life Event Log -- 5 Related Work -- 6 Conclusions -- References -- Towards a Content-Based Process Mining Approach in Personal Services -- 1 Introduction -- 2 Theoretical Background -- 2.1 Personal Services -- 2.2 Topic Modeling -- 3 Process of Content-Based Process Mining -- 3.1 Interviews: Creating the Training Data -- 3.2 Prototyping: Train the Probability Model -- 3.3 Classify the Documents and Generating the Models -- 4 Case Study -- 4.1 Execution of the Phases -- 4.2 Generating the Model -- 4.3 Evaluation -- 5 Discussion -- 6 Conclusion and Outlook -- References -- Event Stream and Predictive Monitoring (BPMDS 2021) -- Generating Reliable Process Event Streams and Time Series Data Based on Neural Networks -- 1 Introduction -- 2 GENLOG Pipeline for Creating Reliable Process Event Streams and Time Series Data -- 3 Prototypical Implementation -- 3.1 Log File Processing -- 3.2 Data Resampling -- 3.3 Model Generation -- 3.4 Data Generation -- 3.5 Remapping to Log File Format -- 4 Evaluation in a Real World Scenario -- 4.1 Log File Processing -- 4.2 Data Resampling -- 4.3 Model Generation -- 4.4 Data Generation -- 4.5 Remapping to Log File Format -- 4.6 Discussion of the Results -- 5 Related Work -- 6 Conclusion -- References -- Inter-case Properties and Process Variant Considerations in Time Prediction: A Conceptual Framework -- 1 Introduction -- 2 Preliminaries and Basic Concepts -- 3 Inter-case Properties -- 3.1 Perspectives of Inter-case Properties
  • Intro -- Preface -- BPMDS 2021 -- EMMSAD 2021 -- BPMDS 2021 Organization -- EMMSAD 2021 Organization -- Contents -- Improving Event Data Quality in Coherence with Business Requirements (BPMDS 2021) -- From Network Traffic Data to Business Activities: A Process Mining Driven Conceptualization -- 1 Introduction -- 2 Background and Related Work -- 3 Conceptualizing Business Processes and Network Traffic -- 4 Network Traffic Behavioral Patterns for an Activity -- 4.1 Simulation of Business Process Cases -- 4.2 Packet Capture to Event Log -- 4.3 Discovery of Network Traffic Behavioral Patterns for Business Activities -- 5 Evaluation -- 6 Concluding Discussion -- References -- A NLP-Oriented Methodology to Enhance Event Log Quality -- 1 Introduction -- 2 Related Work -- 3 LOADING-NLP: Methodology for Assessing and Improving Event Log Quality with NLP -- 4 Determine the Usability of the Event Log Quality -- 4.1 Metrics to Measure the Quality of Event Logs -- 4.2 Quality Dimensions for Event Logs -- 4.3 Customising the Measurement and Assessment of Event Log Quality -- 5 Improving Event Log Quality: NLP Techniques for Relabelling Activities -- 5.1 Decision-Making for the Application of NLP Techniques -- 5.2 Inferring NLP Techniques to Improve Quality Dimensions -- 6 Evaluation of the Proposal -- 7 Conclusions and Future Work -- References -- Enhancing the Value of Data in Processes Improvement (BPMDS 2021) -- Detecting and Understanding Branching Frequency Changes in Process Models -- 1 Introduction and Motivation -- 2 Background -- 3 The Proposed Method -- 3.1 Step 1: Discovering Process Models and Selecting Interesting Places -- 3.2 Step 2: Discovering Choice Sequences -- 3.3 Step 3: Detecting Change Points -- 4 Evaluation -- 4.1 Step 1: Discovering Process Models and Selecting Interesting Places -- 4.2 Step 2: Discovering Choice Sequences