Advances in Enterprise Engineering XV: 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer International Publishing AG
2022
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Ausgabe: | 1st ed |
Schriftenreihe: | Lecture Notes in Business Information Processing Series
v.441 |
Schlagworte: | |
Online-Zugang: | HWR01 |
Beschreibung: | Description based on publisher supplied metadata and other sources |
Beschreibung: | 1 Online-Ressource (174 Seiten) |
ISBN: | 9783031115202 |
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505 | 8 | |a Intro -- Preface -- Organization -- Contents -- Invited Papers from Keynote Presentations -- Conceptual Modeling and Artificial Intelligence: Challenges and Opportunities for Enterprise Engineering -- 1 Introduction -- 2 Conceptual Modeling and AI Research Framework -- 3 Challenges and Opportunities for Enterprise Engineering -- 3.1 Opportunities of Conceptual Modeling for AI -- 3.2 Opportunities of AI for Conceptual Modeling -- 4 Concluding Remarks -- References -- Toward AI-Native Enterprise -- 1 Motivation -- 2 Regulatory Compliance -- 2.1 The Problem -- 2.2 Current Practice -- 2.3 Our Solution -- 3 Decision-Making in the Face of Uncertainty -- 3.1 The Problem -- 3.2 Current Practice -- 3.3 Our Solution -- 4 Software Architecture for Continuous Adaptation -- 4.1 The Problem -- 4.2 Current Practice -- 4.3 Our Solution -- 5 Bringing It All Together -- 6 Summary and Future Work -- References -- Presented Papers -- Modeling Payments and Linked Obligation Settlements -- 1 Introduction -- 2 Background -- 2.1 Linked Obligation Settlements -- 2.2 The Unified Foundational Ontology (UFO) -- 2.3 The Core Ontology for Economic Exchanges (COEX) -- 2.4 The Reference Ontology of Money and Virtual Currencies (ROME) -- 3 Ontology-Based Modeling of Payments and Linked Obligation Settlements -- 3.1 The Ontology-Based Modeling Approach -- 3.2 Modeling Payments and Linked Obligation Settlements -- 4 Application Example -- 5 Related Work -- 6 Final Remarks -- References -- Towards an Ontology Network in Finance and Economics -- 1 Introduction -- 2 Background -- 2.1 Ontologies and Their Classifications -- 2.2 Ontology Networks -- 2.3 The Unified Foundational Ontology (UFO) -- 3 Methodological Aspects -- 4 The Ontology Network in Finance and Economics (OntoFINE) -- 4.1 The Reference Ontology of Trust (ROT) | |
505 | 8 | |a 4.2 The Reference Ontology of Money and Virtual Currencies (ROME) -- 4.3 The Core Ontology for Economic Exchanges (COEX) -- 4.4 The Common Ontology of Value and Risk (COVER) -- 4.5 The Reference Ontology of Trustworthiness Requirements (ROTwR) -- 5 OntoFINE Applications -- 6 Related Work -- 7 Final Considerations -- References -- Flexible Enterprise Optimization with Constraint Programming -- 1 Introduction -- 2 Background and Related Work -- 2.1 Constraint Programming -- 2.2 Closely-Related Approaches -- 3 Methodology -- 3.1 The Neural Network -- 3.2 The Constraint Program -- 3.3 Soft Constrained Multi-Objective Solving -- 3.4 Computational Solving -- 4 Experimental Validation -- 4.1 Experiment 1: Restaurant -- 4.2 Experiment 2: Supply Chain -- 4.3 Discussion -- 5 Conclusion and Future Work -- References -- Adapting and Evaluating the Story-Card-Method -- 1 Introduction -- 2 Background and Related Work -- 3 Research Methodology -- 4 The Story Card Method Adaptation Requirements -- 4.1 Adaptations Required -- 4.2 The Adapted Story Card Method -- 5 Results -- 5.1 Participant Background -- 5.2 Feedback on the Story-Card Method -- 5.3 Evaluating the Quality of the Story-Card Method -- 5.4 Using the CM's Transactor Roles as a Taxonomy for Enterprise Operations -- 6 Discussion, Limitations and Future Research -- References -- Business Driven Microservice Design -- 1 Introduction -- 2 Research Design -- 3 Foundations on Enterprise Ontology and Service Design -- 3.1 Enterprise Ontology -- 3.2 Earlier Research on EO Based Service Design -- 4 Devising the Algorithm -- 4.1 Deducing the Algorithm from the Operating Cycle -- 4.2 Complete Algorithm -- 5 Evaluation of the Algorithm -- 5.1 Input: Ontological Model of the Social Housing Domain -- 5.2 Output: List of API Specifications -- 5.3 Reflection on Case Level -- 6 Conclusions and Future Research | |
505 | 8 | |a 6.1 Conclusions and Reflection -- 6.2 Limitations and Future Research Directions -- References -- Evaluation of the Perceived Quality and Functionality of Fact Model Diagrams in DEMO -- 1 Introduction -- 2 Literature Review -- 2.1 Physics of Notations Theory -- 2.2 SEQUAL -- 2.3 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 MU Theory and the DEMO Methodology -- 3.2 Fact Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality and Social Pragmatic Quality -- 6 Conclusions -- References -- Towards the X-Theory: An Evaluation of the Perceived Quality and Functionality of DEMO's Process Model -- 1 Introduction -- 2 Literature Review -- 2.1 Process Modeling Evaluation Frameworks -- 2.2 Physics of Notations Theory -- 2.3 SEQUAL -- 2.4 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 DEMO Methodology -- 3.2 Version a of the Process Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality -- 5.2 Social Pragmatic Quality -- 5.3 Other Improvements -- 5.4 Foundations of a Theory of Representation Within DEMO -- 6 Conclusions -- References -- Use of EA Models in Organizational AI Solution Development -- 1 Introduction -- 2 Research Approach -- 3 Background and Related Work -- 3.1 Method Support for AI context -- 3.2 AI Readiness -- 3.3 AI Requirements Engineering -- 4 Literature Analysis -- 5 Industrial Case Studies -- 5.1 Case Study A: Manufacturer of Power Garden Products -- 5.2 Case B: AI for Fraud Detection -- 5.3 Case C: AI for Object Recognition and Marketing Support -- 6 Case Study Analysis -- 6.1 EA-based AI Readiness Analysis -- 6.2 EA-based Requirements Analysis -- 6.3 Extension of the AI Context Method | |
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contents | Intro -- Preface -- Organization -- Contents -- Invited Papers from Keynote Presentations -- Conceptual Modeling and Artificial Intelligence: Challenges and Opportunities for Enterprise Engineering -- 1 Introduction -- 2 Conceptual Modeling and AI Research Framework -- 3 Challenges and Opportunities for Enterprise Engineering -- 3.1 Opportunities of Conceptual Modeling for AI -- 3.2 Opportunities of AI for Conceptual Modeling -- 4 Concluding Remarks -- References -- Toward AI-Native Enterprise -- 1 Motivation -- 2 Regulatory Compliance -- 2.1 The Problem -- 2.2 Current Practice -- 2.3 Our Solution -- 3 Decision-Making in the Face of Uncertainty -- 3.1 The Problem -- 3.2 Current Practice -- 3.3 Our Solution -- 4 Software Architecture for Continuous Adaptation -- 4.1 The Problem -- 4.2 Current Practice -- 4.3 Our Solution -- 5 Bringing It All Together -- 6 Summary and Future Work -- References -- Presented Papers -- Modeling Payments and Linked Obligation Settlements -- 1 Introduction -- 2 Background -- 2.1 Linked Obligation Settlements -- 2.2 The Unified Foundational Ontology (UFO) -- 2.3 The Core Ontology for Economic Exchanges (COEX) -- 2.4 The Reference Ontology of Money and Virtual Currencies (ROME) -- 3 Ontology-Based Modeling of Payments and Linked Obligation Settlements -- 3.1 The Ontology-Based Modeling Approach -- 3.2 Modeling Payments and Linked Obligation Settlements -- 4 Application Example -- 5 Related Work -- 6 Final Remarks -- References -- Towards an Ontology Network in Finance and Economics -- 1 Introduction -- 2 Background -- 2.1 Ontologies and Their Classifications -- 2.2 Ontology Networks -- 2.3 The Unified Foundational Ontology (UFO) -- 3 Methodological Aspects -- 4 The Ontology Network in Finance and Economics (OntoFINE) -- 4.1 The Reference Ontology of Trust (ROT) 4.2 The Reference Ontology of Money and Virtual Currencies (ROME) -- 4.3 The Core Ontology for Economic Exchanges (COEX) -- 4.4 The Common Ontology of Value and Risk (COVER) -- 4.5 The Reference Ontology of Trustworthiness Requirements (ROTwR) -- 5 OntoFINE Applications -- 6 Related Work -- 7 Final Considerations -- References -- Flexible Enterprise Optimization with Constraint Programming -- 1 Introduction -- 2 Background and Related Work -- 2.1 Constraint Programming -- 2.2 Closely-Related Approaches -- 3 Methodology -- 3.1 The Neural Network -- 3.2 The Constraint Program -- 3.3 Soft Constrained Multi-Objective Solving -- 3.4 Computational Solving -- 4 Experimental Validation -- 4.1 Experiment 1: Restaurant -- 4.2 Experiment 2: Supply Chain -- 4.3 Discussion -- 5 Conclusion and Future Work -- References -- Adapting and Evaluating the Story-Card-Method -- 1 Introduction -- 2 Background and Related Work -- 3 Research Methodology -- 4 The Story Card Method Adaptation Requirements -- 4.1 Adaptations Required -- 4.2 The Adapted Story Card Method -- 5 Results -- 5.1 Participant Background -- 5.2 Feedback on the Story-Card Method -- 5.3 Evaluating the Quality of the Story-Card Method -- 5.4 Using the CM's Transactor Roles as a Taxonomy for Enterprise Operations -- 6 Discussion, Limitations and Future Research -- References -- Business Driven Microservice Design -- 1 Introduction -- 2 Research Design -- 3 Foundations on Enterprise Ontology and Service Design -- 3.1 Enterprise Ontology -- 3.2 Earlier Research on EO Based Service Design -- 4 Devising the Algorithm -- 4.1 Deducing the Algorithm from the Operating Cycle -- 4.2 Complete Algorithm -- 5 Evaluation of the Algorithm -- 5.1 Input: Ontological Model of the Social Housing Domain -- 5.2 Output: List of API Specifications -- 5.3 Reflection on Case Level -- 6 Conclusions and Future Research 6.1 Conclusions and Reflection -- 6.2 Limitations and Future Research Directions -- References -- Evaluation of the Perceived Quality and Functionality of Fact Model Diagrams in DEMO -- 1 Introduction -- 2 Literature Review -- 2.1 Physics of Notations Theory -- 2.2 SEQUAL -- 2.3 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 MU Theory and the DEMO Methodology -- 3.2 Fact Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality and Social Pragmatic Quality -- 6 Conclusions -- References -- Towards the X-Theory: An Evaluation of the Perceived Quality and Functionality of DEMO's Process Model -- 1 Introduction -- 2 Literature Review -- 2.1 Process Modeling Evaluation Frameworks -- 2.2 Physics of Notations Theory -- 2.3 SEQUAL -- 2.4 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 DEMO Methodology -- 3.2 Version a of the Process Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality -- 5.2 Social Pragmatic Quality -- 5.3 Other Improvements -- 5.4 Foundations of a Theory of Representation Within DEMO -- 6 Conclusions -- References -- Use of EA Models in Organizational AI Solution Development -- 1 Introduction -- 2 Research Approach -- 3 Background and Related Work -- 3.1 Method Support for AI context -- 3.2 AI Readiness -- 3.3 AI Requirements Engineering -- 4 Literature Analysis -- 5 Industrial Case Studies -- 5.1 Case Study A: Manufacturer of Power Garden Products -- 5.2 Case B: AI for Fraud Detection -- 5.3 Case C: AI for Object Recognition and Marketing Support -- 6 Case Study Analysis -- 6.1 EA-based AI Readiness Analysis -- 6.2 EA-based Requirements Analysis -- 6.3 Extension of the AI Context Method 7 Concluding Remarks and Future Work -- References -- Author Index |
ctrlnum | (ZDB-30-PQE)EBC7045752 (ZDB-30-PAD)EBC7045752 (ZDB-89-EBL)EBL7045752 (OCoLC)1336707333 (DE-599)BVBBV049408471 |
dewey-full | 658.4038 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.4038 |
dewey-search | 658.4038 |
dewey-sort | 3658.4038 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Informatik Wirtschaftswissenschaften |
discipline_str_mv | Informatik Wirtschaftswissenschaften |
edition | 1st ed |
format | Electronic eBook |
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illustrated | Not Illustrated |
index_date | 2024-07-03T23:05:37Z |
indexdate | 2024-07-10T10:06:16Z |
institution | BVB |
isbn | 9783031115202 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034735555 |
oclc_num | 1336707333 |
open_access_boolean | |
owner | DE-2070s |
owner_facet | DE-2070s |
physical | 1 Online-Ressource (174 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 Series |
spelling | Aveiro, David Verfasser aut Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers 1st ed Cham Springer International Publishing AG 2022 ©2022 1 Online-Ressource (174 Seiten) txt rdacontent c rdamedia cr rdacarrier Lecture Notes in Business Information Processing Series v.441 Description based on publisher supplied metadata and other sources Intro -- Preface -- Organization -- Contents -- Invited Papers from Keynote Presentations -- Conceptual Modeling and Artificial Intelligence: Challenges and Opportunities for Enterprise Engineering -- 1 Introduction -- 2 Conceptual Modeling and AI Research Framework -- 3 Challenges and Opportunities for Enterprise Engineering -- 3.1 Opportunities of Conceptual Modeling for AI -- 3.2 Opportunities of AI for Conceptual Modeling -- 4 Concluding Remarks -- References -- Toward AI-Native Enterprise -- 1 Motivation -- 2 Regulatory Compliance -- 2.1 The Problem -- 2.2 Current Practice -- 2.3 Our Solution -- 3 Decision-Making in the Face of Uncertainty -- 3.1 The Problem -- 3.2 Current Practice -- 3.3 Our Solution -- 4 Software Architecture for Continuous Adaptation -- 4.1 The Problem -- 4.2 Current Practice -- 4.3 Our Solution -- 5 Bringing It All Together -- 6 Summary and Future Work -- References -- Presented Papers -- Modeling Payments and Linked Obligation Settlements -- 1 Introduction -- 2 Background -- 2.1 Linked Obligation Settlements -- 2.2 The Unified Foundational Ontology (UFO) -- 2.3 The Core Ontology for Economic Exchanges (COEX) -- 2.4 The Reference Ontology of Money and Virtual Currencies (ROME) -- 3 Ontology-Based Modeling of Payments and Linked Obligation Settlements -- 3.1 The Ontology-Based Modeling Approach -- 3.2 Modeling Payments and Linked Obligation Settlements -- 4 Application Example -- 5 Related Work -- 6 Final Remarks -- References -- Towards an Ontology Network in Finance and Economics -- 1 Introduction -- 2 Background -- 2.1 Ontologies and Their Classifications -- 2.2 Ontology Networks -- 2.3 The Unified Foundational Ontology (UFO) -- 3 Methodological Aspects -- 4 The Ontology Network in Finance and Economics (OntoFINE) -- 4.1 The Reference Ontology of Trust (ROT) 4.2 The Reference Ontology of Money and Virtual Currencies (ROME) -- 4.3 The Core Ontology for Economic Exchanges (COEX) -- 4.4 The Common Ontology of Value and Risk (COVER) -- 4.5 The Reference Ontology of Trustworthiness Requirements (ROTwR) -- 5 OntoFINE Applications -- 6 Related Work -- 7 Final Considerations -- References -- Flexible Enterprise Optimization with Constraint Programming -- 1 Introduction -- 2 Background and Related Work -- 2.1 Constraint Programming -- 2.2 Closely-Related Approaches -- 3 Methodology -- 3.1 The Neural Network -- 3.2 The Constraint Program -- 3.3 Soft Constrained Multi-Objective Solving -- 3.4 Computational Solving -- 4 Experimental Validation -- 4.1 Experiment 1: Restaurant -- 4.2 Experiment 2: Supply Chain -- 4.3 Discussion -- 5 Conclusion and Future Work -- References -- Adapting and Evaluating the Story-Card-Method -- 1 Introduction -- 2 Background and Related Work -- 3 Research Methodology -- 4 The Story Card Method Adaptation Requirements -- 4.1 Adaptations Required -- 4.2 The Adapted Story Card Method -- 5 Results -- 5.1 Participant Background -- 5.2 Feedback on the Story-Card Method -- 5.3 Evaluating the Quality of the Story-Card Method -- 5.4 Using the CM's Transactor Roles as a Taxonomy for Enterprise Operations -- 6 Discussion, Limitations and Future Research -- References -- Business Driven Microservice Design -- 1 Introduction -- 2 Research Design -- 3 Foundations on Enterprise Ontology and Service Design -- 3.1 Enterprise Ontology -- 3.2 Earlier Research on EO Based Service Design -- 4 Devising the Algorithm -- 4.1 Deducing the Algorithm from the Operating Cycle -- 4.2 Complete Algorithm -- 5 Evaluation of the Algorithm -- 5.1 Input: Ontological Model of the Social Housing Domain -- 5.2 Output: List of API Specifications -- 5.3 Reflection on Case Level -- 6 Conclusions and Future Research 6.1 Conclusions and Reflection -- 6.2 Limitations and Future Research Directions -- References -- Evaluation of the Perceived Quality and Functionality of Fact Model Diagrams in DEMO -- 1 Introduction -- 2 Literature Review -- 2.1 Physics of Notations Theory -- 2.2 SEQUAL -- 2.3 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 MU Theory and the DEMO Methodology -- 3.2 Fact Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality and Social Pragmatic Quality -- 6 Conclusions -- References -- Towards the X-Theory: An Evaluation of the Perceived Quality and Functionality of DEMO's Process Model -- 1 Introduction -- 2 Literature Review -- 2.1 Process Modeling Evaluation Frameworks -- 2.2 Physics of Notations Theory -- 2.3 SEQUAL -- 2.4 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 DEMO Methodology -- 3.2 Version a of the Process Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality -- 5.2 Social Pragmatic Quality -- 5.3 Other Improvements -- 5.4 Foundations of a Theory of Representation Within DEMO -- 6 Conclusions -- References -- Use of EA Models in Organizational AI Solution Development -- 1 Introduction -- 2 Research Approach -- 3 Background and Related Work -- 3.1 Method Support for AI context -- 3.2 AI Readiness -- 3.3 AI Requirements Engineering -- 4 Literature Analysis -- 5 Industrial Case Studies -- 5.1 Case Study A: Manufacturer of Power Garden Products -- 5.2 Case B: AI for Fraud Detection -- 5.3 Case C: AI for Object Recognition and Marketing Support -- 6 Case Study Analysis -- 6.1 EA-based AI Readiness Analysis -- 6.2 EA-based Requirements Analysis -- 6.3 Extension of the AI Context Method 7 Concluding Remarks and Future Work -- References -- Author Index Management information systems-Congresses Information Engineering (DE-588)4205982-3 gnd rswk-swf Architektur Informatik (DE-588)4139374-0 gnd rswk-swf Unternehmensarchitektur (DE-588)7856257-0 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 2021 Online gnd-content Information Engineering (DE-588)4205982-3 s Unternehmensarchitektur (DE-588)7856257-0 s Architektur Informatik (DE-588)4139374-0 s DE-604 Proper, Henderik A. Sonstige oth Guerreiro, Sérgio Sonstige oth de Vries, Marne Sonstige oth Erscheint auch als Druck-Ausgabe Aveiro, David Advances in Enterprise Engineering XV Cham : Springer International Publishing AG,c2022 9783031115196 |
spellingShingle | Aveiro, David Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers Intro -- Preface -- Organization -- Contents -- Invited Papers from Keynote Presentations -- Conceptual Modeling and Artificial Intelligence: Challenges and Opportunities for Enterprise Engineering -- 1 Introduction -- 2 Conceptual Modeling and AI Research Framework -- 3 Challenges and Opportunities for Enterprise Engineering -- 3.1 Opportunities of Conceptual Modeling for AI -- 3.2 Opportunities of AI for Conceptual Modeling -- 4 Concluding Remarks -- References -- Toward AI-Native Enterprise -- 1 Motivation -- 2 Regulatory Compliance -- 2.1 The Problem -- 2.2 Current Practice -- 2.3 Our Solution -- 3 Decision-Making in the Face of Uncertainty -- 3.1 The Problem -- 3.2 Current Practice -- 3.3 Our Solution -- 4 Software Architecture for Continuous Adaptation -- 4.1 The Problem -- 4.2 Current Practice -- 4.3 Our Solution -- 5 Bringing It All Together -- 6 Summary and Future Work -- References -- Presented Papers -- Modeling Payments and Linked Obligation Settlements -- 1 Introduction -- 2 Background -- 2.1 Linked Obligation Settlements -- 2.2 The Unified Foundational Ontology (UFO) -- 2.3 The Core Ontology for Economic Exchanges (COEX) -- 2.4 The Reference Ontology of Money and Virtual Currencies (ROME) -- 3 Ontology-Based Modeling of Payments and Linked Obligation Settlements -- 3.1 The Ontology-Based Modeling Approach -- 3.2 Modeling Payments and Linked Obligation Settlements -- 4 Application Example -- 5 Related Work -- 6 Final Remarks -- References -- Towards an Ontology Network in Finance and Economics -- 1 Introduction -- 2 Background -- 2.1 Ontologies and Their Classifications -- 2.2 Ontology Networks -- 2.3 The Unified Foundational Ontology (UFO) -- 3 Methodological Aspects -- 4 The Ontology Network in Finance and Economics (OntoFINE) -- 4.1 The Reference Ontology of Trust (ROT) 4.2 The Reference Ontology of Money and Virtual Currencies (ROME) -- 4.3 The Core Ontology for Economic Exchanges (COEX) -- 4.4 The Common Ontology of Value and Risk (COVER) -- 4.5 The Reference Ontology of Trustworthiness Requirements (ROTwR) -- 5 OntoFINE Applications -- 6 Related Work -- 7 Final Considerations -- References -- Flexible Enterprise Optimization with Constraint Programming -- 1 Introduction -- 2 Background and Related Work -- 2.1 Constraint Programming -- 2.2 Closely-Related Approaches -- 3 Methodology -- 3.1 The Neural Network -- 3.2 The Constraint Program -- 3.3 Soft Constrained Multi-Objective Solving -- 3.4 Computational Solving -- 4 Experimental Validation -- 4.1 Experiment 1: Restaurant -- 4.2 Experiment 2: Supply Chain -- 4.3 Discussion -- 5 Conclusion and Future Work -- References -- Adapting and Evaluating the Story-Card-Method -- 1 Introduction -- 2 Background and Related Work -- 3 Research Methodology -- 4 The Story Card Method Adaptation Requirements -- 4.1 Adaptations Required -- 4.2 The Adapted Story Card Method -- 5 Results -- 5.1 Participant Background -- 5.2 Feedback on the Story-Card Method -- 5.3 Evaluating the Quality of the Story-Card Method -- 5.4 Using the CM's Transactor Roles as a Taxonomy for Enterprise Operations -- 6 Discussion, Limitations and Future Research -- References -- Business Driven Microservice Design -- 1 Introduction -- 2 Research Design -- 3 Foundations on Enterprise Ontology and Service Design -- 3.1 Enterprise Ontology -- 3.2 Earlier Research on EO Based Service Design -- 4 Devising the Algorithm -- 4.1 Deducing the Algorithm from the Operating Cycle -- 4.2 Complete Algorithm -- 5 Evaluation of the Algorithm -- 5.1 Input: Ontological Model of the Social Housing Domain -- 5.2 Output: List of API Specifications -- 5.3 Reflection on Case Level -- 6 Conclusions and Future Research 6.1 Conclusions and Reflection -- 6.2 Limitations and Future Research Directions -- References -- Evaluation of the Perceived Quality and Functionality of Fact Model Diagrams in DEMO -- 1 Introduction -- 2 Literature Review -- 2.1 Physics of Notations Theory -- 2.2 SEQUAL -- 2.3 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 MU Theory and the DEMO Methodology -- 3.2 Fact Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality and Social Pragmatic Quality -- 6 Conclusions -- References -- Towards the X-Theory: An Evaluation of the Perceived Quality and Functionality of DEMO's Process Model -- 1 Introduction -- 2 Literature Review -- 2.1 Process Modeling Evaluation Frameworks -- 2.2 Physics of Notations Theory -- 2.3 SEQUAL -- 2.4 Perceived Quality and Functionality in Diagrams -- 3 Study Context -- 3.1 DEMO Methodology -- 3.2 Version a of the Process Model Representations -- 4 Method -- 4.1 Participants -- 4.2 Materials and Procedure -- 5 Results and Discussion -- 5.1 Empirical Quality -- 5.2 Social Pragmatic Quality -- 5.3 Other Improvements -- 5.4 Foundations of a Theory of Representation Within DEMO -- 6 Conclusions -- References -- Use of EA Models in Organizational AI Solution Development -- 1 Introduction -- 2 Research Approach -- 3 Background and Related Work -- 3.1 Method Support for AI context -- 3.2 AI Readiness -- 3.3 AI Requirements Engineering -- 4 Literature Analysis -- 5 Industrial Case Studies -- 5.1 Case Study A: Manufacturer of Power Garden Products -- 5.2 Case B: AI for Fraud Detection -- 5.3 Case C: AI for Object Recognition and Marketing Support -- 6 Case Study Analysis -- 6.1 EA-based AI Readiness Analysis -- 6.2 EA-based Requirements Analysis -- 6.3 Extension of the AI Context Method 7 Concluding Remarks and Future Work -- References -- Author Index Management information systems-Congresses Information Engineering (DE-588)4205982-3 gnd Architektur Informatik (DE-588)4139374-0 gnd Unternehmensarchitektur (DE-588)7856257-0 gnd |
subject_GND | (DE-588)4205982-3 (DE-588)4139374-0 (DE-588)7856257-0 (DE-588)1071861417 |
title | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_auth | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_exact_search | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_exact_search_txtP | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_full | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_fullStr | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_full_unstemmed | Advances in Enterprise Engineering XV 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
title_short | Advances in Enterprise Engineering XV |
title_sort | advances in enterprise engineering xv 11th enterprise engineering working conference eewc 2021 virtual event november 12 2021 and december 16 17 2021 revised selected papers |
title_sub | 11th Enterprise Engineering Working Conference, EEWC 2021, Virtual Event, November 12, 2021, and December 16-17, 2021, Revised Selected Papers |
topic | Management information systems-Congresses Information Engineering (DE-588)4205982-3 gnd Architektur Informatik (DE-588)4139374-0 gnd Unternehmensarchitektur (DE-588)7856257-0 gnd |
topic_facet | Management information systems-Congresses Information Engineering Architektur Informatik Unternehmensarchitektur Konferenzschrift 2021 Online |
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