Business Process Management Workshops: BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing AG
2022
|
| Schriftenreihe: | Lecture Notes in Business Information Processing Ser.
v.436 |
| Schlagworte: | |
| Online-Zugang: | HWR01 |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (457 Seiten) |
| ISBN: | 9783030943431 |
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| 490 | 0 | |a Lecture Notes in Business Information Processing Ser. |v v.436 | |
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| 505 | 8 | |a Intro -- Preface -- Organization -- Contents -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- Organization -- Organizing Committee -- Program Committee -- On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling -- 1 Introduction -- 2 Related Work -- 3 Activity Recommendation Through Knowledge Graph Completion -- 3.1 Problem Definition -- 3.2 Knowledge Graph Construction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Evaluation Setup -- 4.3 Results -- 5 Conclusion and Future Work -- References -- Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring -- 1 Introduction -- 2 Related Work -- 3 Approach -- 4 Experimental Setup -- 4.1 Preliminaries -- 4.2 Datasets -- 4.3 Models -- 5 Constructing Benchmark Datasets -- 5.1 Target Definition -- 5.2 Elimination of Chronological Outliers and Duplicates -- 5.3 Debiasing the End of the Dataset -- 5.4 Choice of Test Set -- 5.5 Temporal Splitting -- 5.6 Debiasing the Beginning of the Test Set -- 5.7 Removal of Long Cases -- 5.8 Next Event Prediction -- 6 Model Predictions -- 7 Conclusion and Future Work -- References -- Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities -- 1 Introduction -- 2 Background -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Gated Graph Sequence NNs for Next Activity Prediction -- 3.1 Three Representation Forms of Process Instance Graphs -- 3.2 Learning Gated Graph Sequence Neural Network Models -- 4 Evaluation -- 4.1 Event Logs -- 4.2 Procedure -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References | |
| 505 | 8 | |a ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Semantic Graph Process Representation -- 2.2 Generative Adversarial Networks -- 2.3 MAPE-K Control Loops -- 2.4 Related Work -- 3 Implementing MAPE-K Control Loops with GANs -- 3.1 Training Procedure and Data -- 3.2 Usage of Generator and Discriminator in MAPE-K Control Loops -- 4 Application Scenario: Using GANs to Implement MAPE-K Control Loops -- 5 Conclusion and Future Work -- References -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- Organization -- Workshop Chairs -- Program Committee -- Conformance Checking: A Systemic View -- 1 Introduction -- 2 Running Example -- 3 Alignments: A Systemic View -- 4 The Computational Challenge -- 5 Conclusion and Future Work -- References -- A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning -- 1 Introduction -- 2 Background -- 2.1 Event Logs -- 2.2 Event Log Anonymization with PRETSA -- 2.3 The Act2Vec Model -- 3 An Embedding-Based Trace Distance Measure for Event Log Anonymization -- 3.1 Intuition -- 3.2 A Distance Measure for Traces Based on Embeddings -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results -- 5 Related Work -- 6 Conclusion -- References -- Towards Understanding the Role of the Human in Event Log Extraction -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Literature Study -- 3.2 Coding and Taxonomy Derivation -- 4 A Taxonomy for Manual Tasks in Event Log Extraction -- 4.1 Overview -- 4.2 Context and Scope Definition -- 4.3 Data Source Assessment -- 4.4 Attribute Selection -- 4.5 Data Source Extraction -- 4.6 Event Log Assessment -- 5 Discussion -- 6 Conclusion | |
| 505 | 8 | |a References -- May I Take Your Order? -- 1 Introduction -- 2 Related Work -- 3 On the Interplay Between Time and Order in Process Mining -- 3.1 Event Logs with Time and Order -- 3.2 Consistency -- 3.3 Simplified Event Logs -- 4 What if Timestamps Are Imprecise? -- 5 Implementation -- 6 Conclusion -- References -- Attribute-Driven Case Notion Discovery for Unlabeled Event Logs -- 1 Introduction -- 2 Preliminaries and Running Example -- 3 Related Work -- 4 Attribute-Driven Case Notion Discovery -- 4.1 Event Log Subdivision -- 4.2 Class Instance Detection -- 4.3 Trace Generation -- 5 Evaluation -- 6 Conclusion -- References -- Demystifying Noise and Outliers in Event Logs: Review and Future Directions -- 1 Introduction -- 2 Noise vs. Outliers -- 3 Literature Search -- 3.1 Literature Result: Type of Outliers and Noise -- 3.2 Literature Result: Outlier Detection Techniques -- 4 Analysis of Tools for Noise and Outlier Filtering for Event Logs -- 5 Future Research Directions -- 6 Related Work -- 7 Conclusion and Future Directions -- References -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- Organization -- Program Chairs -- Program Committee -- Process Innovation in the EU Public Sector Through the Lens of BPM Ambidexterity -- 1 Introduction -- 2 Literature -- 2.1 Business Process Management Ambidexterity -- 2.2 Process Innovation in the Public Sector -- 3 Methodology -- 3.1 Case Description -- 3.2 Data Collection -- 3.3 Validity and Reliability -- 4 Results -- 4.1 Triggers and Obstacles for Process Improvement (RQ1) -- 4.2 Ambidexterity Practices Linked to Maturity (RQ2) -- 4.3 Contextual Factors (RQ3) -- 4.4 Solutions to Ambidexterity Tensions (RQ4) -- 5 Discussion -- 6 Conclusion -- References | |
| 505 | 8 | |a The BPM Governance Supporting Factors and Implementation Barriers - The Experience of a Public University -- 1 Introduction -- 2 BMP and BPM Governance in the Public Sector - Theoretical Background -- 3 Materials and Methods -- 3.1 Research Object -- 3.2 Characteristics of BPM and BPM Governance Implementation at a Higher Education Institution -- 4 Results and Discussion -- 4.1 Characteristics of BPM, BOMG and BSC Implementation Stages -- 5 Conclusion -- References -- About a Process-Technology Fit for Process Improvements in an Ambidextrous Environment -- 1 Introduction -- 2 Research Background and Theoretical Framework -- 2.1 Task-Technology Fit Theory -- 2.2 Ambidexterity Theory -- 2.3 Business Process Management (BPM) Context Factors -- 2.4 Other Theories Related to 'Fit' -- 2.5 Performance Metrics (or Fit Outcomes) -- 2.6 Initial Research Model -- 3 Methodology -- 3.1 Selection of Experts -- 3.2 Operationalization of Variables -- 3.3 Data Analysis -- 4 Results -- 4.1 Themes for Process and Technology Characteristics -- 4.2 Themes for Ambidextrous BPM -- 4.3 Themes for Process-Technology Fit -- 4.4 Themes for Mediating and Performance Variables -- 5 Discussion -- 6 Conclusion -- References -- Exploring the Key Factors of Process Improvement that Drive Competitive Advantage: A Case of Serbia -- 1 Introduction -- 2 Theoretical Background -- 3 Research Methodology -- 4 Results -- 4.1 Sample Caracteristic -- 4.2 Data Analysis and Results -- 5 Discussion and Conclusion -- References -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- References -- Organization -- Workshop Chairs -- Program Committee -- Expanding Modeling Notations: Requirements for Creative Process Modeling -- 1 Introduction | |
| 505 | 8 | |a 2 Understanding Creative Work -- 2.1 Example of a Level Design from a Game Design Process -- 2.2 Characteristics of Creative-Intensive Processes -- 3 Modelling Creative Work -- 3.1 Modeling Languages Capturing Creative Work -- 3.2 Modeling Extensions to Capture Creative Work -- 4 Conclusion -- References -- Analyzing Digital Trace Data to Promote Discovery - The Case of Heatmapping -- 1 Introduction -- 2 Discovery in Routine Dynamics and Business Process Management Research -- 3 Using Heatmapping to Promote Discovery -- 3.1 Heatmapping -- 3.2 How to Use Heatmapping to Promote Discovery? -- 4 Conclusion -- 4.1 Promoting Discovery in Business Process Management -- 4.2 Enriching the Repertoire of Methods in Routine Dynamics -- 4.3 Driving Discovery Through Visualization -- References -- Predicting Process Structure After a Disruption: An Example from the Clinical Documentation Process -- 1 Introduction -- 2 Background -- 2.1 Routine Dynamics as Network Dynamics -- 2.2 Research Setting and Data -- 2.3 Two Levels of Granularity -- 3 Hypothesis Development -- 3.1 Frequency of Handoffs -- 3.2 Speed of Handoffs -- 3.3 Paths and Betweenness -- 3.4 Coherence -- 4 Formal Model -- 5 Results -- 5.1 Frequency of Handoffs (H1) -- 5.2 Duration of Handoffs (H2) -- 5.3 Betweenness of Handoffs (H3) -- 5.4 Coherence of Handoffs (H4) -- 5.5 Changes in the Base Rate of Actions -- 6 Discussion -- 7 Conclusion -- References -- Capabilities for Digital Process Innovation: Results of an Ongoing Action Research Study -- 1 Introduction -- 2 Theoretical Background -- 2.1 Digital Process Innovation -- 2.2 Organizational Digital Process Innovation Capabilities -- 2.3 Skills Needed for Digital Process Innovation -- 3 Research Approach -- 3.1 Methodology and Case Background -- 4 Preliminary Results -- 5 Concluding Discussion -- References | |
| 505 | 8 | |a Digital Twin of an Organization: Are You Serious? | |
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| contents | Intro -- Preface -- Organization -- Contents -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- Organization -- Organizing Committee -- Program Committee -- On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling -- 1 Introduction -- 2 Related Work -- 3 Activity Recommendation Through Knowledge Graph Completion -- 3.1 Problem Definition -- 3.2 Knowledge Graph Construction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Evaluation Setup -- 4.3 Results -- 5 Conclusion and Future Work -- References -- Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring -- 1 Introduction -- 2 Related Work -- 3 Approach -- 4 Experimental Setup -- 4.1 Preliminaries -- 4.2 Datasets -- 4.3 Models -- 5 Constructing Benchmark Datasets -- 5.1 Target Definition -- 5.2 Elimination of Chronological Outliers and Duplicates -- 5.3 Debiasing the End of the Dataset -- 5.4 Choice of Test Set -- 5.5 Temporal Splitting -- 5.6 Debiasing the Beginning of the Test Set -- 5.7 Removal of Long Cases -- 5.8 Next Event Prediction -- 6 Model Predictions -- 7 Conclusion and Future Work -- References -- Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities -- 1 Introduction -- 2 Background -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Gated Graph Sequence NNs for Next Activity Prediction -- 3.1 Three Representation Forms of Process Instance Graphs -- 3.2 Learning Gated Graph Sequence Neural Network Models -- 4 Evaluation -- 4.1 Event Logs -- 4.2 Procedure -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Semantic Graph Process Representation -- 2.2 Generative Adversarial Networks -- 2.3 MAPE-K Control Loops -- 2.4 Related Work -- 3 Implementing MAPE-K Control Loops with GANs -- 3.1 Training Procedure and Data -- 3.2 Usage of Generator and Discriminator in MAPE-K Control Loops -- 4 Application Scenario: Using GANs to Implement MAPE-K Control Loops -- 5 Conclusion and Future Work -- References -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- Organization -- Workshop Chairs -- Program Committee -- Conformance Checking: A Systemic View -- 1 Introduction -- 2 Running Example -- 3 Alignments: A Systemic View -- 4 The Computational Challenge -- 5 Conclusion and Future Work -- References -- A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning -- 1 Introduction -- 2 Background -- 2.1 Event Logs -- 2.2 Event Log Anonymization with PRETSA -- 2.3 The Act2Vec Model -- 3 An Embedding-Based Trace Distance Measure for Event Log Anonymization -- 3.1 Intuition -- 3.2 A Distance Measure for Traces Based on Embeddings -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results -- 5 Related Work -- 6 Conclusion -- References -- Towards Understanding the Role of the Human in Event Log Extraction -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Literature Study -- 3.2 Coding and Taxonomy Derivation -- 4 A Taxonomy for Manual Tasks in Event Log Extraction -- 4.1 Overview -- 4.2 Context and Scope Definition -- 4.3 Data Source Assessment -- 4.4 Attribute Selection -- 4.5 Data Source Extraction -- 4.6 Event Log Assessment -- 5 Discussion -- 6 Conclusion References -- May I Take Your Order? -- 1 Introduction -- 2 Related Work -- 3 On the Interplay Between Time and Order in Process Mining -- 3.1 Event Logs with Time and Order -- 3.2 Consistency -- 3.3 Simplified Event Logs -- 4 What if Timestamps Are Imprecise? -- 5 Implementation -- 6 Conclusion -- References -- Attribute-Driven Case Notion Discovery for Unlabeled Event Logs -- 1 Introduction -- 2 Preliminaries and Running Example -- 3 Related Work -- 4 Attribute-Driven Case Notion Discovery -- 4.1 Event Log Subdivision -- 4.2 Class Instance Detection -- 4.3 Trace Generation -- 5 Evaluation -- 6 Conclusion -- References -- Demystifying Noise and Outliers in Event Logs: Review and Future Directions -- 1 Introduction -- 2 Noise vs. Outliers -- 3 Literature Search -- 3.1 Literature Result: Type of Outliers and Noise -- 3.2 Literature Result: Outlier Detection Techniques -- 4 Analysis of Tools for Noise and Outlier Filtering for Event Logs -- 5 Future Research Directions -- 6 Related Work -- 7 Conclusion and Future Directions -- References -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- Organization -- Program Chairs -- Program Committee -- Process Innovation in the EU Public Sector Through the Lens of BPM Ambidexterity -- 1 Introduction -- 2 Literature -- 2.1 Business Process Management Ambidexterity -- 2.2 Process Innovation in the Public Sector -- 3 Methodology -- 3.1 Case Description -- 3.2 Data Collection -- 3.3 Validity and Reliability -- 4 Results -- 4.1 Triggers and Obstacles for Process Improvement (RQ1) -- 4.2 Ambidexterity Practices Linked to Maturity (RQ2) -- 4.3 Contextual Factors (RQ3) -- 4.4 Solutions to Ambidexterity Tensions (RQ4) -- 5 Discussion -- 6 Conclusion -- References The BPM Governance Supporting Factors and Implementation Barriers - The Experience of a Public University -- 1 Introduction -- 2 BMP and BPM Governance in the Public Sector - Theoretical Background -- 3 Materials and Methods -- 3.1 Research Object -- 3.2 Characteristics of BPM and BPM Governance Implementation at a Higher Education Institution -- 4 Results and Discussion -- 4.1 Characteristics of BPM, BOMG and BSC Implementation Stages -- 5 Conclusion -- References -- About a Process-Technology Fit for Process Improvements in an Ambidextrous Environment -- 1 Introduction -- 2 Research Background and Theoretical Framework -- 2.1 Task-Technology Fit Theory -- 2.2 Ambidexterity Theory -- 2.3 Business Process Management (BPM) Context Factors -- 2.4 Other Theories Related to 'Fit' -- 2.5 Performance Metrics (or Fit Outcomes) -- 2.6 Initial Research Model -- 3 Methodology -- 3.1 Selection of Experts -- 3.2 Operationalization of Variables -- 3.3 Data Analysis -- 4 Results -- 4.1 Themes for Process and Technology Characteristics -- 4.2 Themes for Ambidextrous BPM -- 4.3 Themes for Process-Technology Fit -- 4.4 Themes for Mediating and Performance Variables -- 5 Discussion -- 6 Conclusion -- References -- Exploring the Key Factors of Process Improvement that Drive Competitive Advantage: A Case of Serbia -- 1 Introduction -- 2 Theoretical Background -- 3 Research Methodology -- 4 Results -- 4.1 Sample Caracteristic -- 4.2 Data Analysis and Results -- 5 Discussion and Conclusion -- References -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- References -- Organization -- Workshop Chairs -- Program Committee -- Expanding Modeling Notations: Requirements for Creative Process Modeling -- 1 Introduction 2 Understanding Creative Work -- 2.1 Example of a Level Design from a Game Design Process -- 2.2 Characteristics of Creative-Intensive Processes -- 3 Modelling Creative Work -- 3.1 Modeling Languages Capturing Creative Work -- 3.2 Modeling Extensions to Capture Creative Work -- 4 Conclusion -- References -- Analyzing Digital Trace Data to Promote Discovery - The Case of Heatmapping -- 1 Introduction -- 2 Discovery in Routine Dynamics and Business Process Management Research -- 3 Using Heatmapping to Promote Discovery -- 3.1 Heatmapping -- 3.2 How to Use Heatmapping to Promote Discovery? -- 4 Conclusion -- 4.1 Promoting Discovery in Business Process Management -- 4.2 Enriching the Repertoire of Methods in Routine Dynamics -- 4.3 Driving Discovery Through Visualization -- References -- Predicting Process Structure After a Disruption: An Example from the Clinical Documentation Process -- 1 Introduction -- 2 Background -- 2.1 Routine Dynamics as Network Dynamics -- 2.2 Research Setting and Data -- 2.3 Two Levels of Granularity -- 3 Hypothesis Development -- 3.1 Frequency of Handoffs -- 3.2 Speed of Handoffs -- 3.3 Paths and Betweenness -- 3.4 Coherence -- 4 Formal Model -- 5 Results -- 5.1 Frequency of Handoffs (H1) -- 5.2 Duration of Handoffs (H2) -- 5.3 Betweenness of Handoffs (H3) -- 5.4 Coherence of Handoffs (H4) -- 5.5 Changes in the Base Rate of Actions -- 6 Discussion -- 7 Conclusion -- References -- Capabilities for Digital Process Innovation: Results of an Ongoing Action Research Study -- 1 Introduction -- 2 Theoretical Background -- 2.1 Digital Process Innovation -- 2.2 Organizational Digital Process Innovation Capabilities -- 2.3 Skills Needed for Digital Process Innovation -- 3 Research Approach -- 3.1 Methodology and Case Background -- 4 Preliminary Results -- 5 Concluding Discussion -- References Digital Twin of an Organization: Are You Serious? |
| ctrlnum | (ZDB-30-PQE)EBC6874882 (ZDB-30-PAD)EBC6874882 (ZDB-89-EBL)EBL6874882 (OCoLC)1293767625 (DE-599)BVBBV048830790 |
| dewey-full | 658.05 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.05 |
| dewey-search | 658.05 |
| dewey-sort | 3658.05 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| format | Electronic eBook |
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References</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Semantic Graph Process Representation -- 2.2 Generative Adversarial Networks -- 2.3 MAPE-K Control Loops -- 2.4 Related Work -- 3 Implementing MAPE-K Control Loops with GANs -- 3.1 Training Procedure and Data -- 3.2 Usage of Generator and Discriminator in MAPE-K Control Loops -- 4 Application Scenario: Using GANs to Implement MAPE-K Control Loops -- 5 Conclusion and Future Work -- References -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- Organization -- Workshop Chairs -- Program Committee -- Conformance Checking: A Systemic View -- 1 Introduction -- 2 Running Example -- 3 Alignments: A Systemic View -- 4 The Computational Challenge -- 5 Conclusion and Future Work -- References -- A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning -- 1 Introduction -- 2 Background -- 2.1 Event Logs -- 2.2 Event Log Anonymization with PRETSA -- 2.3 The Act2Vec Model -- 3 An Embedding-Based Trace Distance Measure for Event Log Anonymization -- 3.1 Intuition -- 3.2 A Distance Measure for Traces Based on Embeddings -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results -- 5 Related Work -- 6 Conclusion -- References -- Towards Understanding the Role of the Human in Event Log Extraction -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Literature Study -- 3.2 Coding and Taxonomy Derivation -- 4 A Taxonomy for Manual Tasks in Event Log Extraction -- 4.1 Overview -- 4.2 Context and Scope Definition -- 4.3 Data Source Assessment -- 4.4 Attribute Selection -- 4.5 Data Source Extraction -- 4.6 Event Log Assessment -- 5 Discussion -- 6 Conclusion</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">References -- May I Take Your Order? -- 1 Introduction -- 2 Related Work -- 3 On the Interplay Between Time and Order in Process Mining -- 3.1 Event Logs with Time and Order -- 3.2 Consistency -- 3.3 Simplified Event Logs -- 4 What if Timestamps Are Imprecise? -- 5 Implementation -- 6 Conclusion -- References -- Attribute-Driven Case Notion Discovery for Unlabeled Event Logs -- 1 Introduction -- 2 Preliminaries and Running Example -- 3 Related Work -- 4 Attribute-Driven Case Notion Discovery -- 4.1 Event Log Subdivision -- 4.2 Class Instance Detection -- 4.3 Trace Generation -- 5 Evaluation -- 6 Conclusion -- References -- Demystifying Noise and Outliers in Event Logs: Review and Future Directions -- 1 Introduction -- 2 Noise vs. Outliers -- 3 Literature Search -- 3.1 Literature Result: Type of Outliers and Noise -- 3.2 Literature Result: Outlier Detection Techniques -- 4 Analysis of Tools for Noise and Outlier Filtering for Event Logs -- 5 Future Research Directions -- 6 Related Work -- 7 Conclusion and Future Directions -- References -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- Organization -- Program Chairs -- Program Committee -- Process Innovation in the EU Public Sector Through the Lens of BPM Ambidexterity -- 1 Introduction -- 2 Literature -- 2.1 Business Process Management Ambidexterity -- 2.2 Process Innovation in the Public Sector -- 3 Methodology -- 3.1 Case Description -- 3.2 Data Collection -- 3.3 Validity and Reliability -- 4 Results -- 4.1 Triggers and Obstacles for Process Improvement (RQ1) -- 4.2 Ambidexterity Practices Linked to Maturity (RQ2) -- 4.3 Contextual Factors (RQ3) -- 4.4 Solutions to Ambidexterity Tensions (RQ4) -- 5 Discussion -- 6 Conclusion -- References</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">The BPM Governance Supporting Factors and Implementation Barriers - The Experience of a Public University -- 1 Introduction -- 2 BMP and BPM Governance in the Public Sector - Theoretical Background -- 3 Materials and Methods -- 3.1 Research Object -- 3.2 Characteristics of BPM and BPM Governance Implementation at a Higher Education Institution -- 4 Results and Discussion -- 4.1 Characteristics of BPM, BOMG and BSC Implementation Stages -- 5 Conclusion -- References -- About a Process-Technology Fit for Process Improvements in an Ambidextrous Environment -- 1 Introduction -- 2 Research Background and Theoretical Framework -- 2.1 Task-Technology Fit Theory -- 2.2 Ambidexterity Theory -- 2.3 Business Process Management (BPM) Context Factors -- 2.4 Other Theories Related to 'Fit' -- 2.5 Performance Metrics (or Fit Outcomes) -- 2.6 Initial Research Model -- 3 Methodology -- 3.1 Selection of Experts -- 3.2 Operationalization of Variables -- 3.3 Data Analysis -- 4 Results -- 4.1 Themes for Process and Technology Characteristics -- 4.2 Themes for Ambidextrous BPM -- 4.3 Themes for Process-Technology Fit -- 4.4 Themes for Mediating and Performance Variables -- 5 Discussion -- 6 Conclusion -- References -- Exploring the Key Factors of Process Improvement that Drive Competitive Advantage: A Case of Serbia -- 1 Introduction -- 2 Theoretical Background -- 3 Research Methodology -- 4 Results -- 4.1 Sample Caracteristic -- 4.2 Data Analysis and Results -- 5 Discussion and Conclusion -- References -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM&amp -- RD 2021) -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM&amp -- RD 2021) -- References -- Organization -- Workshop Chairs -- Program Committee -- Expanding Modeling Notations: Requirements for Creative Process Modeling -- 1 Introduction</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield 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| genre | (DE-588)1071861417 Konferenzschrift 2021 Rom gnd-content |
| genre_facet | Konferenzschrift 2021 Rom |
| id | DE-604.BV048830790 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:35:28Z |
| indexdate | 2024-07-10T09:47:11Z |
| institution | BVB |
| isbn | 9783030943431 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034096368 |
| oclc_num | 1293767625 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (457 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Springer International Publishing AG |
| record_format | marc |
| series2 | Lecture Notes in Business Information Processing Ser. |
| spelling | Marrella, Andrea Verfasser aut Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers Cham Springer International Publishing AG 2022 ©2022 1 Online-Ressource (457 Seiten) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Ser. v.436 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- Organization -- Organizing Committee -- Program Committee -- On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling -- 1 Introduction -- 2 Related Work -- 3 Activity Recommendation Through Knowledge Graph Completion -- 3.1 Problem Definition -- 3.2 Knowledge Graph Construction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Evaluation Setup -- 4.3 Results -- 5 Conclusion and Future Work -- References -- Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring -- 1 Introduction -- 2 Related Work -- 3 Approach -- 4 Experimental Setup -- 4.1 Preliminaries -- 4.2 Datasets -- 4.3 Models -- 5 Constructing Benchmark Datasets -- 5.1 Target Definition -- 5.2 Elimination of Chronological Outliers and Duplicates -- 5.3 Debiasing the End of the Dataset -- 5.4 Choice of Test Set -- 5.5 Temporal Splitting -- 5.6 Debiasing the Beginning of the Test Set -- 5.7 Removal of Long Cases -- 5.8 Next Event Prediction -- 6 Model Predictions -- 7 Conclusion and Future Work -- References -- Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities -- 1 Introduction -- 2 Background -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Gated Graph Sequence NNs for Next Activity Prediction -- 3.1 Three Representation Forms of Process Instance Graphs -- 3.2 Learning Gated Graph Sequence Neural Network Models -- 4 Evaluation -- 4.1 Event Logs -- 4.2 Procedure -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Semantic Graph Process Representation -- 2.2 Generative Adversarial Networks -- 2.3 MAPE-K Control Loops -- 2.4 Related Work -- 3 Implementing MAPE-K Control Loops with GANs -- 3.1 Training Procedure and Data -- 3.2 Usage of Generator and Discriminator in MAPE-K Control Loops -- 4 Application Scenario: Using GANs to Implement MAPE-K Control Loops -- 5 Conclusion and Future Work -- References -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- Organization -- Workshop Chairs -- Program Committee -- Conformance Checking: A Systemic View -- 1 Introduction -- 2 Running Example -- 3 Alignments: A Systemic View -- 4 The Computational Challenge -- 5 Conclusion and Future Work -- References -- A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning -- 1 Introduction -- 2 Background -- 2.1 Event Logs -- 2.2 Event Log Anonymization with PRETSA -- 2.3 The Act2Vec Model -- 3 An Embedding-Based Trace Distance Measure for Event Log Anonymization -- 3.1 Intuition -- 3.2 A Distance Measure for Traces Based on Embeddings -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results -- 5 Related Work -- 6 Conclusion -- References -- Towards Understanding the Role of the Human in Event Log Extraction -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Literature Study -- 3.2 Coding and Taxonomy Derivation -- 4 A Taxonomy for Manual Tasks in Event Log Extraction -- 4.1 Overview -- 4.2 Context and Scope Definition -- 4.3 Data Source Assessment -- 4.4 Attribute Selection -- 4.5 Data Source Extraction -- 4.6 Event Log Assessment -- 5 Discussion -- 6 Conclusion References -- May I Take Your Order? -- 1 Introduction -- 2 Related Work -- 3 On the Interplay Between Time and Order in Process Mining -- 3.1 Event Logs with Time and Order -- 3.2 Consistency -- 3.3 Simplified Event Logs -- 4 What if Timestamps Are Imprecise? -- 5 Implementation -- 6 Conclusion -- References -- Attribute-Driven Case Notion Discovery for Unlabeled Event Logs -- 1 Introduction -- 2 Preliminaries and Running Example -- 3 Related Work -- 4 Attribute-Driven Case Notion Discovery -- 4.1 Event Log Subdivision -- 4.2 Class Instance Detection -- 4.3 Trace Generation -- 5 Evaluation -- 6 Conclusion -- References -- Demystifying Noise and Outliers in Event Logs: Review and Future Directions -- 1 Introduction -- 2 Noise vs. Outliers -- 3 Literature Search -- 3.1 Literature Result: Type of Outliers and Noise -- 3.2 Literature Result: Outlier Detection Techniques -- 4 Analysis of Tools for Noise and Outlier Filtering for Event Logs -- 5 Future Research Directions -- 6 Related Work -- 7 Conclusion and Future Directions -- References -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- Organization -- Program Chairs -- Program Committee -- Process Innovation in the EU Public Sector Through the Lens of BPM Ambidexterity -- 1 Introduction -- 2 Literature -- 2.1 Business Process Management Ambidexterity -- 2.2 Process Innovation in the Public Sector -- 3 Methodology -- 3.1 Case Description -- 3.2 Data Collection -- 3.3 Validity and Reliability -- 4 Results -- 4.1 Triggers and Obstacles for Process Improvement (RQ1) -- 4.2 Ambidexterity Practices Linked to Maturity (RQ2) -- 4.3 Contextual Factors (RQ3) -- 4.4 Solutions to Ambidexterity Tensions (RQ4) -- 5 Discussion -- 6 Conclusion -- References The BPM Governance Supporting Factors and Implementation Barriers - The Experience of a Public University -- 1 Introduction -- 2 BMP and BPM Governance in the Public Sector - Theoretical Background -- 3 Materials and Methods -- 3.1 Research Object -- 3.2 Characteristics of BPM and BPM Governance Implementation at a Higher Education Institution -- 4 Results and Discussion -- 4.1 Characteristics of BPM, BOMG and BSC Implementation Stages -- 5 Conclusion -- References -- About a Process-Technology Fit for Process Improvements in an Ambidextrous Environment -- 1 Introduction -- 2 Research Background and Theoretical Framework -- 2.1 Task-Technology Fit Theory -- 2.2 Ambidexterity Theory -- 2.3 Business Process Management (BPM) Context Factors -- 2.4 Other Theories Related to 'Fit' -- 2.5 Performance Metrics (or Fit Outcomes) -- 2.6 Initial Research Model -- 3 Methodology -- 3.1 Selection of Experts -- 3.2 Operationalization of Variables -- 3.3 Data Analysis -- 4 Results -- 4.1 Themes for Process and Technology Characteristics -- 4.2 Themes for Ambidextrous BPM -- 4.3 Themes for Process-Technology Fit -- 4.4 Themes for Mediating and Performance Variables -- 5 Discussion -- 6 Conclusion -- References -- Exploring the Key Factors of Process Improvement that Drive Competitive Advantage: A Case of Serbia -- 1 Introduction -- 2 Theoretical Background -- 3 Research Methodology -- 4 Results -- 4.1 Sample Caracteristic -- 4.2 Data Analysis and Results -- 5 Discussion and Conclusion -- References -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- References -- Organization -- Workshop Chairs -- Program Committee -- Expanding Modeling Notations: Requirements for Creative Process Modeling -- 1 Introduction 2 Understanding Creative Work -- 2.1 Example of a Level Design from a Game Design Process -- 2.2 Characteristics of Creative-Intensive Processes -- 3 Modelling Creative Work -- 3.1 Modeling Languages Capturing Creative Work -- 3.2 Modeling Extensions to Capture Creative Work -- 4 Conclusion -- References -- Analyzing Digital Trace Data to Promote Discovery - The Case of Heatmapping -- 1 Introduction -- 2 Discovery in Routine Dynamics and Business Process Management Research -- 3 Using Heatmapping to Promote Discovery -- 3.1 Heatmapping -- 3.2 How to Use Heatmapping to Promote Discovery? -- 4 Conclusion -- 4.1 Promoting Discovery in Business Process Management -- 4.2 Enriching the Repertoire of Methods in Routine Dynamics -- 4.3 Driving Discovery Through Visualization -- References -- Predicting Process Structure After a Disruption: An Example from the Clinical Documentation Process -- 1 Introduction -- 2 Background -- 2.1 Routine Dynamics as Network Dynamics -- 2.2 Research Setting and Data -- 2.3 Two Levels of Granularity -- 3 Hypothesis Development -- 3.1 Frequency of Handoffs -- 3.2 Speed of Handoffs -- 3.3 Paths and Betweenness -- 3.4 Coherence -- 4 Formal Model -- 5 Results -- 5.1 Frequency of Handoffs (H1) -- 5.2 Duration of Handoffs (H2) -- 5.3 Betweenness of Handoffs (H3) -- 5.4 Coherence of Handoffs (H4) -- 5.5 Changes in the Base Rate of Actions -- 6 Discussion -- 7 Conclusion -- References -- Capabilities for Digital Process Innovation: Results of an Ongoing Action Research Study -- 1 Introduction -- 2 Theoretical Background -- 2.1 Digital Process Innovation -- 2.2 Organizational Digital Process Innovation Capabilities -- 2.3 Skills Needed for Digital Process Innovation -- 3 Research Approach -- 3.1 Methodology and Case Background -- 4 Preliminary Results -- 5 Concluding Discussion -- References Digital Twin of an Organization: Are You Serious? Business-Data processing-Management-Congresses Workflow-Management-Congresses Prozessmanagement (DE-588)4353072-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2021 Rom gnd-content Prozessmanagement (DE-588)4353072-2 s DE-604 Weber, Barbara Sonstige oth Erscheint auch als Druck-Ausgabe Marrella, Andrea Business Process Management Workshops Cham : Springer International Publishing AG,c2022 9783030943424 |
| spellingShingle | Marrella, Andrea Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers Intro -- Preface -- Organization -- Contents -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- 5th International Workshop on Artificial Intelligence for Business Process Management (AI4BPM 2021) -- Organization -- Organizing Committee -- Program Committee -- On the Use of Knowledge Graph Completion Methods for Activity Recommendation in Business Process Modeling -- 1 Introduction -- 2 Related Work -- 3 Activity Recommendation Through Knowledge Graph Completion -- 3.1 Problem Definition -- 3.2 Knowledge Graph Construction -- 4 Experimental Study -- 4.1 Dataset -- 4.2 Evaluation Setup -- 4.3 Results -- 5 Conclusion and Future Work -- References -- Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring -- 1 Introduction -- 2 Related Work -- 3 Approach -- 4 Experimental Setup -- 4.1 Preliminaries -- 4.2 Datasets -- 4.3 Models -- 5 Constructing Benchmark Datasets -- 5.1 Target Definition -- 5.2 Elimination of Chronological Outliers and Duplicates -- 5.3 Debiasing the End of the Dataset -- 5.4 Choice of Test Set -- 5.5 Temporal Splitting -- 5.6 Debiasing the Beginning of the Test Set -- 5.7 Removal of Long Cases -- 5.8 Next Event Prediction -- 6 Model Predictions -- 7 Conclusion and Future Work -- References -- Exploring Gated Graph Sequence Neural Networks for Predicting Next Process Activities -- 1 Introduction -- 2 Background -- 2.1 Preliminaries -- 2.2 Related Work -- 3 Gated Graph Sequence NNs for Next Activity Prediction -- 3.1 Three Representation Forms of Process Instance Graphs -- 3.2 Learning Gated Graph Sequence Neural Network Models -- 4 Evaluation -- 4.1 Event Logs -- 4.2 Procedure -- 4.3 Results -- 5 Discussion -- 6 Conclusion -- References ProGAN: Toward a Framework for Process Monitoring and Flexibility by Change via Generative Adversarial Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Semantic Graph Process Representation -- 2.2 Generative Adversarial Networks -- 2.3 MAPE-K Control Loops -- 2.4 Related Work -- 3 Implementing MAPE-K Control Loops with GANs -- 3.1 Training Procedure and Data -- 3.2 Usage of Generator and Discriminator in MAPE-K Control Loops -- 4 Application Scenario: Using GANs to Implement MAPE-K Control Loops -- 5 Conclusion and Future Work -- References -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- 17th International Workshop on Business Process Intelligence (BPI 2021) -- Organization -- Workshop Chairs -- Program Committee -- Conformance Checking: A Systemic View -- 1 Introduction -- 2 Running Example -- 3 Alignments: A Systemic View -- 4 The Computational Challenge -- 5 Conclusion and Future Work -- References -- A Distance Measure for Privacy-Preserving Process Mining Based on Feature Learning -- 1 Introduction -- 2 Background -- 2.1 Event Logs -- 2.2 Event Log Anonymization with PRETSA -- 2.3 The Act2Vec Model -- 3 An Embedding-Based Trace Distance Measure for Event Log Anonymization -- 3.1 Intuition -- 3.2 A Distance Measure for Traces Based on Embeddings -- 4 Evaluation -- 4.1 Dataset -- 4.2 Experimental Setup -- 4.3 Results -- 5 Related Work -- 6 Conclusion -- References -- Towards Understanding the Role of the Human in Event Log Extraction -- 1 Introduction -- 2 Background -- 3 Research Method -- 3.1 Literature Study -- 3.2 Coding and Taxonomy Derivation -- 4 A Taxonomy for Manual Tasks in Event Log Extraction -- 4.1 Overview -- 4.2 Context and Scope Definition -- 4.3 Data Source Assessment -- 4.4 Attribute Selection -- 4.5 Data Source Extraction -- 4.6 Event Log Assessment -- 5 Discussion -- 6 Conclusion References -- May I Take Your Order? -- 1 Introduction -- 2 Related Work -- 3 On the Interplay Between Time and Order in Process Mining -- 3.1 Event Logs with Time and Order -- 3.2 Consistency -- 3.3 Simplified Event Logs -- 4 What if Timestamps Are Imprecise? -- 5 Implementation -- 6 Conclusion -- References -- Attribute-Driven Case Notion Discovery for Unlabeled Event Logs -- 1 Introduction -- 2 Preliminaries and Running Example -- 3 Related Work -- 4 Attribute-Driven Case Notion Discovery -- 4.1 Event Log Subdivision -- 4.2 Class Instance Detection -- 4.3 Trace Generation -- 5 Evaluation -- 6 Conclusion -- References -- Demystifying Noise and Outliers in Event Logs: Review and Future Directions -- 1 Introduction -- 2 Noise vs. Outliers -- 3 Literature Search -- 3.1 Literature Result: Type of Outliers and Noise -- 3.2 Literature Result: Outlier Detection Techniques -- 4 Analysis of Tools for Noise and Outlier Filtering for Event Logs -- 5 Future Research Directions -- 6 Related Work -- 7 Conclusion and Future Directions -- References -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- 1st International Workshop on BPM Governance for and Beyond Digital Transformation (BPMGOV 2021) -- Organization -- Program Chairs -- Program Committee -- Process Innovation in the EU Public Sector Through the Lens of BPM Ambidexterity -- 1 Introduction -- 2 Literature -- 2.1 Business Process Management Ambidexterity -- 2.2 Process Innovation in the Public Sector -- 3 Methodology -- 3.1 Case Description -- 3.2 Data Collection -- 3.3 Validity and Reliability -- 4 Results -- 4.1 Triggers and Obstacles for Process Improvement (RQ1) -- 4.2 Ambidexterity Practices Linked to Maturity (RQ2) -- 4.3 Contextual Factors (RQ3) -- 4.4 Solutions to Ambidexterity Tensions (RQ4) -- 5 Discussion -- 6 Conclusion -- References The BPM Governance Supporting Factors and Implementation Barriers - The Experience of a Public University -- 1 Introduction -- 2 BMP and BPM Governance in the Public Sector - Theoretical Background -- 3 Materials and Methods -- 3.1 Research Object -- 3.2 Characteristics of BPM and BPM Governance Implementation at a Higher Education Institution -- 4 Results and Discussion -- 4.1 Characteristics of BPM, BOMG and BSC Implementation Stages -- 5 Conclusion -- References -- About a Process-Technology Fit for Process Improvements in an Ambidextrous Environment -- 1 Introduction -- 2 Research Background and Theoretical Framework -- 2.1 Task-Technology Fit Theory -- 2.2 Ambidexterity Theory -- 2.3 Business Process Management (BPM) Context Factors -- 2.4 Other Theories Related to 'Fit' -- 2.5 Performance Metrics (or Fit Outcomes) -- 2.6 Initial Research Model -- 3 Methodology -- 3.1 Selection of Experts -- 3.2 Operationalization of Variables -- 3.3 Data Analysis -- 4 Results -- 4.1 Themes for Process and Technology Characteristics -- 4.2 Themes for Ambidextrous BPM -- 4.3 Themes for Process-Technology Fit -- 4.4 Themes for Mediating and Performance Variables -- 5 Discussion -- 6 Conclusion -- References -- Exploring the Key Factors of Process Improvement that Drive Competitive Advantage: A Case of Serbia -- 1 Introduction -- 2 Theoretical Background -- 3 Research Methodology -- 4 Results -- 4.1 Sample Caracteristic -- 4.2 Data Analysis and Results -- 5 Discussion and Conclusion -- References -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- 1st International Workshop on Business Process Management and Routine Dynamics (BPM& -- RD 2021) -- References -- Organization -- Workshop Chairs -- Program Committee -- Expanding Modeling Notations: Requirements for Creative Process Modeling -- 1 Introduction 2 Understanding Creative Work -- 2.1 Example of a Level Design from a Game Design Process -- 2.2 Characteristics of Creative-Intensive Processes -- 3 Modelling Creative Work -- 3.1 Modeling Languages Capturing Creative Work -- 3.2 Modeling Extensions to Capture Creative Work -- 4 Conclusion -- References -- Analyzing Digital Trace Data to Promote Discovery - The Case of Heatmapping -- 1 Introduction -- 2 Discovery in Routine Dynamics and Business Process Management Research -- 3 Using Heatmapping to Promote Discovery -- 3.1 Heatmapping -- 3.2 How to Use Heatmapping to Promote Discovery? -- 4 Conclusion -- 4.1 Promoting Discovery in Business Process Management -- 4.2 Enriching the Repertoire of Methods in Routine Dynamics -- 4.3 Driving Discovery Through Visualization -- References -- Predicting Process Structure After a Disruption: An Example from the Clinical Documentation Process -- 1 Introduction -- 2 Background -- 2.1 Routine Dynamics as Network Dynamics -- 2.2 Research Setting and Data -- 2.3 Two Levels of Granularity -- 3 Hypothesis Development -- 3.1 Frequency of Handoffs -- 3.2 Speed of Handoffs -- 3.3 Paths and Betweenness -- 3.4 Coherence -- 4 Formal Model -- 5 Results -- 5.1 Frequency of Handoffs (H1) -- 5.2 Duration of Handoffs (H2) -- 5.3 Betweenness of Handoffs (H3) -- 5.4 Coherence of Handoffs (H4) -- 5.5 Changes in the Base Rate of Actions -- 6 Discussion -- 7 Conclusion -- References -- Capabilities for Digital Process Innovation: Results of an Ongoing Action Research Study -- 1 Introduction -- 2 Theoretical Background -- 2.1 Digital Process Innovation -- 2.2 Organizational Digital Process Innovation Capabilities -- 2.3 Skills Needed for Digital Process Innovation -- 3 Research Approach -- 3.1 Methodology and Case Background -- 4 Preliminary Results -- 5 Concluding Discussion -- References Digital Twin of an Organization: Are You Serious? Business-Data processing-Management-Congresses Workflow-Management-Congresses Prozessmanagement (DE-588)4353072-2 gnd |
| subject_GND | (DE-588)4353072-2 (DE-588)1071861417 |
| title | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_auth | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_exact_search | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_exact_search_txtP | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_full | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_fullStr | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_full_unstemmed | Business Process Management Workshops BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| title_short | Business Process Management Workshops |
| title_sort | business process management workshops bpm 2021 international workshops rome italy september 6 10 2021 revised selected papers |
| title_sub | BPM 2021 International Workshops, Rome, Italy, September 6-10, 2021, Revised Selected Papers |
| topic | Business-Data processing-Management-Congresses Workflow-Management-Congresses Prozessmanagement (DE-588)4353072-2 gnd |
| topic_facet | Business-Data processing-Management-Congresses Workflow-Management-Congresses Prozessmanagement Konferenzschrift 2021 Rom |
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