The Practice of Enterprise Modeling: 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer
2023
|
| Ausgabe: | 1st ed |
| Schriftenreihe: | Lecture Notes in Business Information Processing Series
v.497 |
| Schlagworte: | |
| Online-Zugang: | DE-2070s |
| Beschreibung: | Description based on publisher supplied metadata and other sources |
| Beschreibung: | 1 Online-Ressource (220 Seiten) |
| ISBN: | 9783031485831 |
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| 490 | 0 | |a Lecture Notes in Business Information Processing Series |v v.497 | |
| 500 | |a Description based on publisher supplied metadata and other sources | ||
| 505 | 8 | |a Intro -- Preface -- Organization -- Keynotes -- The Butterfly Potential: The DNA of the Transformation to a Regenerative Circular Economy is a Quadruple Helix -- Digital Tools for Circular Construction - BIM and Beyond -- Contents -- Enterprise Modeling and Artificial Intelligence -- Adaptation of Enterprise Modeling Methods for Large Language Models -- 1 Introduction -- 2 Background and Related Work -- 2.1 Large Language Models and Prompt Engineering -- 2.2 Enterprise Modeling -- 2.3 Constituents of Modeling Methods -- 3 Research Approach -- 4 Method-Aware Meta-model for Prompt Engineering -- 5 Integration of LLM into Organisational Elements of EM Methods -- 5.1 LLM Use in EM Methods -- 5.2 4EM Adaptation for LLM Use -- 6 Concluding Remarks -- References -- EA ModelSet - A FAIR Dataset for Machine Learning in Enterprise Modeling -- 1 Introduction -- 2 Method for Creating the Model Set -- 2.1 Dataset Collection -- 2.2 Dataset Processing -- 2.3 Dataset Management and Publishing -- 3 EA ModelSet -- 3.1 Dataset Structure and Schema -- 3.2 Dataset Description and Statistics -- 3.3 Dataset Usage -- 4 Evaluation Against the FAIR Principles -- 5 EA ModelSet Applications, Reflection, and Future Work -- 6 Conclusion -- References -- Towards AI as a Service for Small and Medium-Sized Enterprises (SME) -- 1 Introduction -- 2 Theoretical Background -- 2.1 Artificial Intelligence (AI) -- 2.2 Morphological Box for AI Solutions -- 2.3 Enterprise Architecture Management (EAM) -- 3 Research Method -- 4 Structured Literature Review -- 4.1 Search Process -- 4.2 Search String Development -- 4.3 Paper Selection and Inclusion -- 5 Case Study: AI on-premise and as AIaaS Solution -- 6 Contrasting on-premise and AIaaS -- 7 Summary and Future Work -- References -- Emerging Architectures and Digital Transformation -- Evaluating ArchiMate for Modelling IoT Systems | |
| 505 | 8 | |a 1 Introduction -- 2 Related Work on the Use of ArchiMate for IoT Systems -- 3 Modelling Guidelines -- 4 Case-Study Evaluation -- 4.1 Design -- 4.2 Results -- 5 Discussion -- 6 Conclusions and Future Work -- References -- A Domain-Specific e3value Extension for Analyzing Blockchain-Based Value Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Blockchain -- 2.2 Representation of Business Models -- 2.3 Languages for Blockchain-Based Business Models -- 3 Extending e3value for Blockchain-Based Applications -- 3.1 Requirements -- 3.2 Metamodel -- 3.3 Graphical Extensions and Modeling Patterns -- 3.4 Implementation -- 4 Exemplary Use Cases -- 4.1 Decentralized Marketplace for Tool Rental -- 4.2 Building Inspectorate Consortium -- 4.3 Non-fungible Token Marketplace -- 5 Discussion -- 6 Conclusion and Outlook -- References -- Building a New Information Technology Operating Model to Support Digital Transformation: A Case Study in Oil and Gas Sector -- 1 Introduction -- 2 Foundation and Related Works -- 2.1 ITOM for IT Function Transformation -- 2.2 IT Function Transformation in Oil and Gas Sector -- 2.3 Digital Transformation in Oil and Gas Sector -- 3 Research Methods and Settings -- 4 Findings from the Case Study -- 4.1 Analysis of the Situation and Business Requirements Elicitation -- 4.2 Analysis and Design of the New ITOM -- 4.3 Implementation of the New ITOM -- 5 Discussion and Lessons Learned -- 6 Conclusion -- References -- Modeling Tools and Approaches -- A Vision for Flexible GLSP-Based Web Modeling Tools -- 1 Introduction -- 2 Background -- 2.1 Language Server Protocol -- 2.2 Graphical Language Server Protocol -- 3 On the Need for Flexibility -- 4 Flexibility of GLSP-Based Web Modeling Tools -- 4.1 Flexibility via Inversion of Control -- 4.2 Flexibility on the Client -- 4.3 Flexibility on the Integration | |
| 505 | 8 | |a 4.4 Flexibility in the Protocol -- 4.5 Flexibility in the Model Management -- 4.6 Flexibility in Model Representation -- 4.7 Flexibility on the Server -- 4.8 Flexibility in Deployment -- 5 The Vision for Flexible Web Modeling Tools -- 6 Conclusion -- References -- Investigating Quality Attributes in Behavior-Driven Development Scenarios: An Evaluation Framework and an Experimental Supporting Tool -- 1 Introduction -- 2 Background -- 2.1 A Generic Overview of BDD as a Testing Practice -- 2.2 Related Work on Improving the Overall Quality of the BDD Process -- 3 Research Objectives and Method -- 3.1 Relevance Cycle -- 3.2 Rigor Cycle -- 3.3 Design Cycle -- 4 Evaluation Framework for BDD Scenarios' Quality Attributes -- 4.1 Uniqueness as Quality Attribute and Correspondence to QUS -- 4.2 Integrity and Essentiality as Quality Attributes and Correspondence to QUS -- 4.3 Singularity as Quality Attribute and Correspondence to QUS -- 4.4 Completeness as Quality Attribute and Correspondence to QUS -- 4.5 Clarity and Focus as Quality Attributes and Correspondence to QUS -- 4.6 Ubiquity as Quality Attribute and Correspondence to QUS -- 5 Presentation of the CASE-Tool and Some Experimental Results -- 5.1 Running and Testing the CASE-Tool -- 5.2 Expert Opinions on the Framework and CASE-Tool -- 6 Conclusion, Limitations and Future Work -- References -- Semiautomatic Design of Ontologies -- 1 Introduction -- 2 Ontology Learning -- 2.1 What is Being Learned? -- 2.2 What Data Is Being Used? -- 3 Data Model Transformation -- 4 Semantic Parsing -- 5 Ontology Design Through Ontology Matching -- 5.1 Axiomatizing Intended Models -- 5.2 Ontology Repositories -- 5.3 Examples and Counterexamples -- 5.4 The Hashemi Procedure -- 6 Relationship to Ontology Learning -- 7 Summary -- References -- Enterprise Modeling at Work | |
| 505 | 8 | |a Enterprise Modelling Can Be Used as a Research Method: An Application to Sustainability Reporting Research -- 1 Introduction -- 2 Background Knowledge -- 3 Research Method -- 4 Analysing the Problem to Design the EMRM -- 5 Applying the EMRM -- 6 Discussion of the Results -- 7 Conclusions -- References -- Using the Business Motivation Model as an Organising Principle to Clarify Public Policy -- 1 Introduction -- 2 Relating Policy Intention with Business Motivation -- 2.1 Enterprise Modelling Languages and Notations -- 2.2 Policy Content Analysis -- 2.3 Linkages Between BMM Concepts and Policy Elements -- 3 Methodological Overview -- 3.1 Case: How the EU ETS Governs Aviation -- 3.2 Design Science Research Methodology -- 4 Specification of Requirements -- 5 The Model of the Aviation Chapter of the EU ETS -- 6 Model Evaluation -- 6.1 Fulfilment of Requirements -- 6.2 Expert Opinion -- 7 Discussion and Conclusions -- References -- A Study on the Impact of the Level of Participation in Enterprise Modeling -- 1 Introduction -- 2 Theoretical and Empirical Background -- 2.1 Participatory Enterprise Modeling -- 2.2 Participation in Organizations and in the Context of Modeling -- 2.3 Psychological Ownership -- 3 Method -- 3.1 Experimental Setting and Procedure -- 3.2 Measures -- 3.3 Methods of Data Analysis -- 3.4 Sample -- 4 Results -- 5 Discussion -- 5.1 Summary and Interpretation -- 5.2 Limitations -- 5.3 Implications for Practice and Future Research -- References -- Author Index | |
| 650 | 4 | |a Management information systems | |
| 650 | 4 | |a Business enterprises-Data processing | |
| 700 | 1 | |a Kaczmarek-Heß, Monika |e Sonstige |4 oth | |
| 700 | 1 | |a Koschmider, Agnes |e Sonstige |4 oth | |
| 700 | 1 | |a Proper, Henderik A. |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Almeida, João Paulo A. |t The Practice of Enterprise Modeling |d Cham : Springer,c2023 |z 9783031485824 |
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Datensatz im Suchindex
| _version_ | 1818806144635764736 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Almeida, João Paulo A. |
| author_facet | Almeida, João Paulo A. |
| author_role | aut |
| author_sort | Almeida, João Paulo A. |
| author_variant | j p a a jpa jpaa |
| building | Verbundindex |
| bvnumber | BV050102167 |
| collection | ZDB-30-PQE |
| contents | Intro -- Preface -- Organization -- Keynotes -- The Butterfly Potential: The DNA of the Transformation to a Regenerative Circular Economy is a Quadruple Helix -- Digital Tools for Circular Construction - BIM and Beyond -- Contents -- Enterprise Modeling and Artificial Intelligence -- Adaptation of Enterprise Modeling Methods for Large Language Models -- 1 Introduction -- 2 Background and Related Work -- 2.1 Large Language Models and Prompt Engineering -- 2.2 Enterprise Modeling -- 2.3 Constituents of Modeling Methods -- 3 Research Approach -- 4 Method-Aware Meta-model for Prompt Engineering -- 5 Integration of LLM into Organisational Elements of EM Methods -- 5.1 LLM Use in EM Methods -- 5.2 4EM Adaptation for LLM Use -- 6 Concluding Remarks -- References -- EA ModelSet - A FAIR Dataset for Machine Learning in Enterprise Modeling -- 1 Introduction -- 2 Method for Creating the Model Set -- 2.1 Dataset Collection -- 2.2 Dataset Processing -- 2.3 Dataset Management and Publishing -- 3 EA ModelSet -- 3.1 Dataset Structure and Schema -- 3.2 Dataset Description and Statistics -- 3.3 Dataset Usage -- 4 Evaluation Against the FAIR Principles -- 5 EA ModelSet Applications, Reflection, and Future Work -- 6 Conclusion -- References -- Towards AI as a Service for Small and Medium-Sized Enterprises (SME) -- 1 Introduction -- 2 Theoretical Background -- 2.1 Artificial Intelligence (AI) -- 2.2 Morphological Box for AI Solutions -- 2.3 Enterprise Architecture Management (EAM) -- 3 Research Method -- 4 Structured Literature Review -- 4.1 Search Process -- 4.2 Search String Development -- 4.3 Paper Selection and Inclusion -- 5 Case Study: AI on-premise and as AIaaS Solution -- 6 Contrasting on-premise and AIaaS -- 7 Summary and Future Work -- References -- Emerging Architectures and Digital Transformation -- Evaluating ArchiMate for Modelling IoT Systems 1 Introduction -- 2 Related Work on the Use of ArchiMate for IoT Systems -- 3 Modelling Guidelines -- 4 Case-Study Evaluation -- 4.1 Design -- 4.2 Results -- 5 Discussion -- 6 Conclusions and Future Work -- References -- A Domain-Specific e3value Extension for Analyzing Blockchain-Based Value Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Blockchain -- 2.2 Representation of Business Models -- 2.3 Languages for Blockchain-Based Business Models -- 3 Extending e3value for Blockchain-Based Applications -- 3.1 Requirements -- 3.2 Metamodel -- 3.3 Graphical Extensions and Modeling Patterns -- 3.4 Implementation -- 4 Exemplary Use Cases -- 4.1 Decentralized Marketplace for Tool Rental -- 4.2 Building Inspectorate Consortium -- 4.3 Non-fungible Token Marketplace -- 5 Discussion -- 6 Conclusion and Outlook -- References -- Building a New Information Technology Operating Model to Support Digital Transformation: A Case Study in Oil and Gas Sector -- 1 Introduction -- 2 Foundation and Related Works -- 2.1 ITOM for IT Function Transformation -- 2.2 IT Function Transformation in Oil and Gas Sector -- 2.3 Digital Transformation in Oil and Gas Sector -- 3 Research Methods and Settings -- 4 Findings from the Case Study -- 4.1 Analysis of the Situation and Business Requirements Elicitation -- 4.2 Analysis and Design of the New ITOM -- 4.3 Implementation of the New ITOM -- 5 Discussion and Lessons Learned -- 6 Conclusion -- References -- Modeling Tools and Approaches -- A Vision for Flexible GLSP-Based Web Modeling Tools -- 1 Introduction -- 2 Background -- 2.1 Language Server Protocol -- 2.2 Graphical Language Server Protocol -- 3 On the Need for Flexibility -- 4 Flexibility of GLSP-Based Web Modeling Tools -- 4.1 Flexibility via Inversion of Control -- 4.2 Flexibility on the Client -- 4.3 Flexibility on the Integration 4.4 Flexibility in the Protocol -- 4.5 Flexibility in the Model Management -- 4.6 Flexibility in Model Representation -- 4.7 Flexibility on the Server -- 4.8 Flexibility in Deployment -- 5 The Vision for Flexible Web Modeling Tools -- 6 Conclusion -- References -- Investigating Quality Attributes in Behavior-Driven Development Scenarios: An Evaluation Framework and an Experimental Supporting Tool -- 1 Introduction -- 2 Background -- 2.1 A Generic Overview of BDD as a Testing Practice -- 2.2 Related Work on Improving the Overall Quality of the BDD Process -- 3 Research Objectives and Method -- 3.1 Relevance Cycle -- 3.2 Rigor Cycle -- 3.3 Design Cycle -- 4 Evaluation Framework for BDD Scenarios' Quality Attributes -- 4.1 Uniqueness as Quality Attribute and Correspondence to QUS -- 4.2 Integrity and Essentiality as Quality Attributes and Correspondence to QUS -- 4.3 Singularity as Quality Attribute and Correspondence to QUS -- 4.4 Completeness as Quality Attribute and Correspondence to QUS -- 4.5 Clarity and Focus as Quality Attributes and Correspondence to QUS -- 4.6 Ubiquity as Quality Attribute and Correspondence to QUS -- 5 Presentation of the CASE-Tool and Some Experimental Results -- 5.1 Running and Testing the CASE-Tool -- 5.2 Expert Opinions on the Framework and CASE-Tool -- 6 Conclusion, Limitations and Future Work -- References -- Semiautomatic Design of Ontologies -- 1 Introduction -- 2 Ontology Learning -- 2.1 What is Being Learned? -- 2.2 What Data Is Being Used? -- 3 Data Model Transformation -- 4 Semantic Parsing -- 5 Ontology Design Through Ontology Matching -- 5.1 Axiomatizing Intended Models -- 5.2 Ontology Repositories -- 5.3 Examples and Counterexamples -- 5.4 The Hashemi Procedure -- 6 Relationship to Ontology Learning -- 7 Summary -- References -- Enterprise Modeling at Work Enterprise Modelling Can Be Used as a Research Method: An Application to Sustainability Reporting Research -- 1 Introduction -- 2 Background Knowledge -- 3 Research Method -- 4 Analysing the Problem to Design the EMRM -- 5 Applying the EMRM -- 6 Discussion of the Results -- 7 Conclusions -- References -- Using the Business Motivation Model as an Organising Principle to Clarify Public Policy -- 1 Introduction -- 2 Relating Policy Intention with Business Motivation -- 2.1 Enterprise Modelling Languages and Notations -- 2.2 Policy Content Analysis -- 2.3 Linkages Between BMM Concepts and Policy Elements -- 3 Methodological Overview -- 3.1 Case: How the EU ETS Governs Aviation -- 3.2 Design Science Research Methodology -- 4 Specification of Requirements -- 5 The Model of the Aviation Chapter of the EU ETS -- 6 Model Evaluation -- 6.1 Fulfilment of Requirements -- 6.2 Expert Opinion -- 7 Discussion and Conclusions -- References -- A Study on the Impact of the Level of Participation in Enterprise Modeling -- 1 Introduction -- 2 Theoretical and Empirical Background -- 2.1 Participatory Enterprise Modeling -- 2.2 Participation in Organizations and in the Context of Modeling -- 2.3 Psychological Ownership -- 3 Method -- 3.1 Experimental Setting and Procedure -- 3.2 Measures -- 3.3 Methods of Data Analysis -- 3.4 Sample -- 4 Results -- 5 Discussion -- 5.1 Summary and Interpretation -- 5.2 Limitations -- 5.3 Implications for Practice and Future Research -- References -- Author Index |
| ctrlnum | (ZDB-30-PQE)EBC30970252 (ZDB-30-PAD)EBC30970252 (ZDB-89-EBL)EBL30970252 (OCoLC)1411050943 (DE-599)BVBBV050102167 |
| dewey-full | 658.4038011 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4038011 |
| dewey-search | 658.4038011 |
| dewey-sort | 3658.4038011 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV050102167 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T19:05:06Z |
| institution | BVB |
| isbn | 9783031485831 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035439329 |
| oclc_num | 1411050943 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (220 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Springer |
| record_format | marc |
| series2 | Lecture Notes in Business Information Processing Series |
| spelling | Almeida, João Paulo A. Verfasser aut The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings 1st ed Cham Springer 2023 ©2024 1 Online-Ressource (220 Seiten) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Series v.497 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Keynotes -- The Butterfly Potential: The DNA of the Transformation to a Regenerative Circular Economy is a Quadruple Helix -- Digital Tools for Circular Construction - BIM and Beyond -- Contents -- Enterprise Modeling and Artificial Intelligence -- Adaptation of Enterprise Modeling Methods for Large Language Models -- 1 Introduction -- 2 Background and Related Work -- 2.1 Large Language Models and Prompt Engineering -- 2.2 Enterprise Modeling -- 2.3 Constituents of Modeling Methods -- 3 Research Approach -- 4 Method-Aware Meta-model for Prompt Engineering -- 5 Integration of LLM into Organisational Elements of EM Methods -- 5.1 LLM Use in EM Methods -- 5.2 4EM Adaptation for LLM Use -- 6 Concluding Remarks -- References -- EA ModelSet - A FAIR Dataset for Machine Learning in Enterprise Modeling -- 1 Introduction -- 2 Method for Creating the Model Set -- 2.1 Dataset Collection -- 2.2 Dataset Processing -- 2.3 Dataset Management and Publishing -- 3 EA ModelSet -- 3.1 Dataset Structure and Schema -- 3.2 Dataset Description and Statistics -- 3.3 Dataset Usage -- 4 Evaluation Against the FAIR Principles -- 5 EA ModelSet Applications, Reflection, and Future Work -- 6 Conclusion -- References -- Towards AI as a Service for Small and Medium-Sized Enterprises (SME) -- 1 Introduction -- 2 Theoretical Background -- 2.1 Artificial Intelligence (AI) -- 2.2 Morphological Box for AI Solutions -- 2.3 Enterprise Architecture Management (EAM) -- 3 Research Method -- 4 Structured Literature Review -- 4.1 Search Process -- 4.2 Search String Development -- 4.3 Paper Selection and Inclusion -- 5 Case Study: AI on-premise and as AIaaS Solution -- 6 Contrasting on-premise and AIaaS -- 7 Summary and Future Work -- References -- Emerging Architectures and Digital Transformation -- Evaluating ArchiMate for Modelling IoT Systems 1 Introduction -- 2 Related Work on the Use of ArchiMate for IoT Systems -- 3 Modelling Guidelines -- 4 Case-Study Evaluation -- 4.1 Design -- 4.2 Results -- 5 Discussion -- 6 Conclusions and Future Work -- References -- A Domain-Specific e3value Extension for Analyzing Blockchain-Based Value Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Blockchain -- 2.2 Representation of Business Models -- 2.3 Languages for Blockchain-Based Business Models -- 3 Extending e3value for Blockchain-Based Applications -- 3.1 Requirements -- 3.2 Metamodel -- 3.3 Graphical Extensions and Modeling Patterns -- 3.4 Implementation -- 4 Exemplary Use Cases -- 4.1 Decentralized Marketplace for Tool Rental -- 4.2 Building Inspectorate Consortium -- 4.3 Non-fungible Token Marketplace -- 5 Discussion -- 6 Conclusion and Outlook -- References -- Building a New Information Technology Operating Model to Support Digital Transformation: A Case Study in Oil and Gas Sector -- 1 Introduction -- 2 Foundation and Related Works -- 2.1 ITOM for IT Function Transformation -- 2.2 IT Function Transformation in Oil and Gas Sector -- 2.3 Digital Transformation in Oil and Gas Sector -- 3 Research Methods and Settings -- 4 Findings from the Case Study -- 4.1 Analysis of the Situation and Business Requirements Elicitation -- 4.2 Analysis and Design of the New ITOM -- 4.3 Implementation of the New ITOM -- 5 Discussion and Lessons Learned -- 6 Conclusion -- References -- Modeling Tools and Approaches -- A Vision for Flexible GLSP-Based Web Modeling Tools -- 1 Introduction -- 2 Background -- 2.1 Language Server Protocol -- 2.2 Graphical Language Server Protocol -- 3 On the Need for Flexibility -- 4 Flexibility of GLSP-Based Web Modeling Tools -- 4.1 Flexibility via Inversion of Control -- 4.2 Flexibility on the Client -- 4.3 Flexibility on the Integration 4.4 Flexibility in the Protocol -- 4.5 Flexibility in the Model Management -- 4.6 Flexibility in Model Representation -- 4.7 Flexibility on the Server -- 4.8 Flexibility in Deployment -- 5 The Vision for Flexible Web Modeling Tools -- 6 Conclusion -- References -- Investigating Quality Attributes in Behavior-Driven Development Scenarios: An Evaluation Framework and an Experimental Supporting Tool -- 1 Introduction -- 2 Background -- 2.1 A Generic Overview of BDD as a Testing Practice -- 2.2 Related Work on Improving the Overall Quality of the BDD Process -- 3 Research Objectives and Method -- 3.1 Relevance Cycle -- 3.2 Rigor Cycle -- 3.3 Design Cycle -- 4 Evaluation Framework for BDD Scenarios' Quality Attributes -- 4.1 Uniqueness as Quality Attribute and Correspondence to QUS -- 4.2 Integrity and Essentiality as Quality Attributes and Correspondence to QUS -- 4.3 Singularity as Quality Attribute and Correspondence to QUS -- 4.4 Completeness as Quality Attribute and Correspondence to QUS -- 4.5 Clarity and Focus as Quality Attributes and Correspondence to QUS -- 4.6 Ubiquity as Quality Attribute and Correspondence to QUS -- 5 Presentation of the CASE-Tool and Some Experimental Results -- 5.1 Running and Testing the CASE-Tool -- 5.2 Expert Opinions on the Framework and CASE-Tool -- 6 Conclusion, Limitations and Future Work -- References -- Semiautomatic Design of Ontologies -- 1 Introduction -- 2 Ontology Learning -- 2.1 What is Being Learned? -- 2.2 What Data Is Being Used? -- 3 Data Model Transformation -- 4 Semantic Parsing -- 5 Ontology Design Through Ontology Matching -- 5.1 Axiomatizing Intended Models -- 5.2 Ontology Repositories -- 5.3 Examples and Counterexamples -- 5.4 The Hashemi Procedure -- 6 Relationship to Ontology Learning -- 7 Summary -- References -- Enterprise Modeling at Work Enterprise Modelling Can Be Used as a Research Method: An Application to Sustainability Reporting Research -- 1 Introduction -- 2 Background Knowledge -- 3 Research Method -- 4 Analysing the Problem to Design the EMRM -- 5 Applying the EMRM -- 6 Discussion of the Results -- 7 Conclusions -- References -- Using the Business Motivation Model as an Organising Principle to Clarify Public Policy -- 1 Introduction -- 2 Relating Policy Intention with Business Motivation -- 2.1 Enterprise Modelling Languages and Notations -- 2.2 Policy Content Analysis -- 2.3 Linkages Between BMM Concepts and Policy Elements -- 3 Methodological Overview -- 3.1 Case: How the EU ETS Governs Aviation -- 3.2 Design Science Research Methodology -- 4 Specification of Requirements -- 5 The Model of the Aviation Chapter of the EU ETS -- 6 Model Evaluation -- 6.1 Fulfilment of Requirements -- 6.2 Expert Opinion -- 7 Discussion and Conclusions -- References -- A Study on the Impact of the Level of Participation in Enterprise Modeling -- 1 Introduction -- 2 Theoretical and Empirical Background -- 2.1 Participatory Enterprise Modeling -- 2.2 Participation in Organizations and in the Context of Modeling -- 2.3 Psychological Ownership -- 3 Method -- 3.1 Experimental Setting and Procedure -- 3.2 Measures -- 3.3 Methods of Data Analysis -- 3.4 Sample -- 4 Results -- 5 Discussion -- 5.1 Summary and Interpretation -- 5.2 Limitations -- 5.3 Implications for Practice and Future Research -- References -- Author Index Management information systems Business enterprises-Data processing Kaczmarek-Heß, Monika Sonstige oth Koschmider, Agnes Sonstige oth Proper, Henderik A. Sonstige oth Erscheint auch als Druck-Ausgabe Almeida, João Paulo A. The Practice of Enterprise Modeling Cham : Springer,c2023 9783031485824 |
| spellingShingle | Almeida, João Paulo A. The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings Intro -- Preface -- Organization -- Keynotes -- The Butterfly Potential: The DNA of the Transformation to a Regenerative Circular Economy is a Quadruple Helix -- Digital Tools for Circular Construction - BIM and Beyond -- Contents -- Enterprise Modeling and Artificial Intelligence -- Adaptation of Enterprise Modeling Methods for Large Language Models -- 1 Introduction -- 2 Background and Related Work -- 2.1 Large Language Models and Prompt Engineering -- 2.2 Enterprise Modeling -- 2.3 Constituents of Modeling Methods -- 3 Research Approach -- 4 Method-Aware Meta-model for Prompt Engineering -- 5 Integration of LLM into Organisational Elements of EM Methods -- 5.1 LLM Use in EM Methods -- 5.2 4EM Adaptation for LLM Use -- 6 Concluding Remarks -- References -- EA ModelSet - A FAIR Dataset for Machine Learning in Enterprise Modeling -- 1 Introduction -- 2 Method for Creating the Model Set -- 2.1 Dataset Collection -- 2.2 Dataset Processing -- 2.3 Dataset Management and Publishing -- 3 EA ModelSet -- 3.1 Dataset Structure and Schema -- 3.2 Dataset Description and Statistics -- 3.3 Dataset Usage -- 4 Evaluation Against the FAIR Principles -- 5 EA ModelSet Applications, Reflection, and Future Work -- 6 Conclusion -- References -- Towards AI as a Service for Small and Medium-Sized Enterprises (SME) -- 1 Introduction -- 2 Theoretical Background -- 2.1 Artificial Intelligence (AI) -- 2.2 Morphological Box for AI Solutions -- 2.3 Enterprise Architecture Management (EAM) -- 3 Research Method -- 4 Structured Literature Review -- 4.1 Search Process -- 4.2 Search String Development -- 4.3 Paper Selection and Inclusion -- 5 Case Study: AI on-premise and as AIaaS Solution -- 6 Contrasting on-premise and AIaaS -- 7 Summary and Future Work -- References -- Emerging Architectures and Digital Transformation -- Evaluating ArchiMate for Modelling IoT Systems 1 Introduction -- 2 Related Work on the Use of ArchiMate for IoT Systems -- 3 Modelling Guidelines -- 4 Case-Study Evaluation -- 4.1 Design -- 4.2 Results -- 5 Discussion -- 6 Conclusions and Future Work -- References -- A Domain-Specific e3value Extension for Analyzing Blockchain-Based Value Networks -- 1 Introduction -- 2 Foundations and Related Work -- 2.1 Blockchain -- 2.2 Representation of Business Models -- 2.3 Languages for Blockchain-Based Business Models -- 3 Extending e3value for Blockchain-Based Applications -- 3.1 Requirements -- 3.2 Metamodel -- 3.3 Graphical Extensions and Modeling Patterns -- 3.4 Implementation -- 4 Exemplary Use Cases -- 4.1 Decentralized Marketplace for Tool Rental -- 4.2 Building Inspectorate Consortium -- 4.3 Non-fungible Token Marketplace -- 5 Discussion -- 6 Conclusion and Outlook -- References -- Building a New Information Technology Operating Model to Support Digital Transformation: A Case Study in Oil and Gas Sector -- 1 Introduction -- 2 Foundation and Related Works -- 2.1 ITOM for IT Function Transformation -- 2.2 IT Function Transformation in Oil and Gas Sector -- 2.3 Digital Transformation in Oil and Gas Sector -- 3 Research Methods and Settings -- 4 Findings from the Case Study -- 4.1 Analysis of the Situation and Business Requirements Elicitation -- 4.2 Analysis and Design of the New ITOM -- 4.3 Implementation of the New ITOM -- 5 Discussion and Lessons Learned -- 6 Conclusion -- References -- Modeling Tools and Approaches -- A Vision for Flexible GLSP-Based Web Modeling Tools -- 1 Introduction -- 2 Background -- 2.1 Language Server Protocol -- 2.2 Graphical Language Server Protocol -- 3 On the Need for Flexibility -- 4 Flexibility of GLSP-Based Web Modeling Tools -- 4.1 Flexibility via Inversion of Control -- 4.2 Flexibility on the Client -- 4.3 Flexibility on the Integration 4.4 Flexibility in the Protocol -- 4.5 Flexibility in the Model Management -- 4.6 Flexibility in Model Representation -- 4.7 Flexibility on the Server -- 4.8 Flexibility in Deployment -- 5 The Vision for Flexible Web Modeling Tools -- 6 Conclusion -- References -- Investigating Quality Attributes in Behavior-Driven Development Scenarios: An Evaluation Framework and an Experimental Supporting Tool -- 1 Introduction -- 2 Background -- 2.1 A Generic Overview of BDD as a Testing Practice -- 2.2 Related Work on Improving the Overall Quality of the BDD Process -- 3 Research Objectives and Method -- 3.1 Relevance Cycle -- 3.2 Rigor Cycle -- 3.3 Design Cycle -- 4 Evaluation Framework for BDD Scenarios' Quality Attributes -- 4.1 Uniqueness as Quality Attribute and Correspondence to QUS -- 4.2 Integrity and Essentiality as Quality Attributes and Correspondence to QUS -- 4.3 Singularity as Quality Attribute and Correspondence to QUS -- 4.4 Completeness as Quality Attribute and Correspondence to QUS -- 4.5 Clarity and Focus as Quality Attributes and Correspondence to QUS -- 4.6 Ubiquity as Quality Attribute and Correspondence to QUS -- 5 Presentation of the CASE-Tool and Some Experimental Results -- 5.1 Running and Testing the CASE-Tool -- 5.2 Expert Opinions on the Framework and CASE-Tool -- 6 Conclusion, Limitations and Future Work -- References -- Semiautomatic Design of Ontologies -- 1 Introduction -- 2 Ontology Learning -- 2.1 What is Being Learned? -- 2.2 What Data Is Being Used? -- 3 Data Model Transformation -- 4 Semantic Parsing -- 5 Ontology Design Through Ontology Matching -- 5.1 Axiomatizing Intended Models -- 5.2 Ontology Repositories -- 5.3 Examples and Counterexamples -- 5.4 The Hashemi Procedure -- 6 Relationship to Ontology Learning -- 7 Summary -- References -- Enterprise Modeling at Work Enterprise Modelling Can Be Used as a Research Method: An Application to Sustainability Reporting Research -- 1 Introduction -- 2 Background Knowledge -- 3 Research Method -- 4 Analysing the Problem to Design the EMRM -- 5 Applying the EMRM -- 6 Discussion of the Results -- 7 Conclusions -- References -- Using the Business Motivation Model as an Organising Principle to Clarify Public Policy -- 1 Introduction -- 2 Relating Policy Intention with Business Motivation -- 2.1 Enterprise Modelling Languages and Notations -- 2.2 Policy Content Analysis -- 2.3 Linkages Between BMM Concepts and Policy Elements -- 3 Methodological Overview -- 3.1 Case: How the EU ETS Governs Aviation -- 3.2 Design Science Research Methodology -- 4 Specification of Requirements -- 5 The Model of the Aviation Chapter of the EU ETS -- 6 Model Evaluation -- 6.1 Fulfilment of Requirements -- 6.2 Expert Opinion -- 7 Discussion and Conclusions -- References -- A Study on the Impact of the Level of Participation in Enterprise Modeling -- 1 Introduction -- 2 Theoretical and Empirical Background -- 2.1 Participatory Enterprise Modeling -- 2.2 Participation in Organizations and in the Context of Modeling -- 2.3 Psychological Ownership -- 3 Method -- 3.1 Experimental Setting and Procedure -- 3.2 Measures -- 3.3 Methods of Data Analysis -- 3.4 Sample -- 4 Results -- 5 Discussion -- 5.1 Summary and Interpretation -- 5.2 Limitations -- 5.3 Implications for Practice and Future Research -- References -- Author Index Management information systems Business enterprises-Data processing |
| title | The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| title_auth | The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| title_exact_search | The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| title_full | The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| title_fullStr | The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| title_full_unstemmed | The Practice of Enterprise Modeling 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| title_short | The Practice of Enterprise Modeling |
| title_sort | the practice of enterprise modeling 16th ifip working conference poem 2023 vienna austria november 28 december 1 2023 proceedings |
| title_sub | 16th IFIP Working Conference, PoEM 2023, Vienna, Austria, November 28 - December 1, 2023, Proceedings |
| topic | Management information systems Business enterprises-Data processing |
| topic_facet | Management information systems Business enterprises-Data processing |
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