Enterprise Information Systems: 24th International Conference, ICEIS 2022, Virtual Event, April 25–27, 2022, Revised Selected Papers (Lecture Notes in Business Information Processing, 487)

Preface
Organization
Contents
Databases and Information Systems Integration
Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective
	1 Introduction
	2 A Methodology for Aligning Process Model Abstraction and Users of Process Models
	3 Demonstration
		3.1 Case Study One: Logistics in Production Facility
		3.2 Case Study Two: Reimbursement of Travel Cost
		3.3 Cross-Analysis of the Case Studies
	4 Related Work
	5 Conclusions and Future Work
	References
A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: An Iterated Local Search Approach
	1 Introduction
	2 Literature Review
	3 Problem Description
	4 Input Data Processing
		4.1 Warehouse Input Format
		4.2 Distance Matrix Extraction
	5 Iterated Local Search
		5.1 Solution Evaluation
	6 Instance Sets
	7 Computational Evaluation
	8 Conclusion
	References
Using IoT Technology for the Skilled Crafts
	1 Introduction
	2 Related Work
		2.1 Technical Implementation and Existing IoT Solutions
		2.2 Digital Platforms for the Skilled Crafts
	3 Methodology and Approach
		3.1 Approach
		3.2 Identification and Evaluation of IoT Use Cases
		3.3 IoT-Sensor Screening
		3.4 IoT4H Platform
	4 Preliminary Results
		4.1 Identification of IoT Use Cases for the Skilled Crafts
		4.2 IoT4H Platform
		4.3 IoT Living Lab
	5 Conclusion
	References
Implementation Solutions for FAIR Clinical Research Data Management
	1 Introduction
	2 Background
	3 A Platform for FAIR Clinical Data
	4 The ETL4FAIR Framework
		4.1 ETL4FAIR Overview
		4.2 Solutions Implemented to Cover FAIRification
	5 Cloud FAIR Data Point
		5.1 FAIR DP Architecture
		5.2 FAIR DP Endpoints and Pods
		5.3 VODAN BR Cloud FAIR DP
	6 Conclusions and Future Works
	References
Artificial Intelligence and Decision Support Systems
Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data
	1 Introduction
	2 Problem Statement
		2.1 Motivating Exemplary Use Cases
		2.2 Labeling of a Sensor Data Set for Machine Learning Tasks
	3 Related Work
	4 Efficient Exploration and Labeling of Multivariate Industrial Sensor Data
		4.1 Design Goals
		4.2 Data Formats and Forms
		4.3 Visualization of Large Data Sets
		4.4 Support of Small Time Units
		4.5 Aggregation and Adaptive Aggregation of Data for Large Query Results
		4.6 Label Classes and Formats
	5 Label Support System
		5.1 Semi-automated Unsupervised Labeling Support
		5.2 Active Learning Labeling Support
	6 Evaluation
		6.1 Performance
		6.2 User Study
		6.3 Active Learning
		6.4 Discussion
	7 Conclusion and Outlook
	References
Resource Planning in Workflow Nets Based on a Symbolic Time Constraint Propagation Mechanism
	1 Introduction
	2 Theoretical Foundations
		2.1 Workflow Net
		2.2 Soundness
		2.3 Process
		2.4 Time Petri Net
		2.5 Colored Petri Net
		2.6 CPN Tools
		2.7 Resource Allocation Mechanism
		2.8 Linear Logic
		2.9 Linear Logic for Soundness Verification
	3 Time Constraint Propagation Mechanism
		3.1 Forward Propagation
		3.2 Backward Propagation
	4 CPN Implementation of the Workflow Net with Resources
		4.1 CPN Model
		4.2 Simulation Results
	5 Related Works
	6 Conclusions
	References
Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems
	1 Introduction
	2 Minimal Operating Cost for Single Spare Part
	3 Determining the Optimal Cost of a Single Spare Part
		3.1 Real Industrial Spare Parts
		3.2 Spare Part Controlled by Sensors and AI System
	4 Implementation of the Spare Part Cost Optimization Algorithm in MES
	5 Conclusions
	References
Quantitative Comparison of Translation by Transformers-Based Neural Network Models
	1 Introduction
	2 Related Works
	3 Analysis Methodology
		3.1 Dataset Preparation
		3.2 Language Detection
		3.3 Automatic Translation
		3.4 Translation with MS Azure Cloud
	4 Fine-Tuning
		4.1 Fine-Tuning on a Reduced Training Dataset
		4.2 Fine-Tuning on the Complete Training Dataset
	5 Conclusion and Discussion
	References
OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things
	1 Introduction
	2 Overview of V-Thing Framework
	3 Mathematical Formalization of the V-Thing Framework
		3.1 Virtual Products
		3.2 Specs of Virtual Products
		3.3 Virtual Services
		3.4 Specs of Virtual Services
	4 OptiViTh Decision Guidance System
		4.1 Architecture Overview
		4.2 Artifacts in the Repository
		4.3 V-Thing Creation
		4.4 V-Thing Optimization
	5 Conclusions
	References
Efficient Deep Neural Network Training Techniques for Overfitting Avoidance
	1 Introduction
	2 Related Works
	3 Overfitting Machanism
		3.1 Popular Solution for Ovefitting
	4 Maths Behind Dropout
	5 Experimental Results and Discussions
		5.1 Simulation Scenario: EarlyStopping
		5.2 Simulation Scenario: Dropout
	6 Conclusion
	References
Effect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks
	1 Introduction
	2 Related Works
	3 How Are Generative Models Implemented?
	4 Theoretical and Mathematical Basis for GAN Networks
		4.1 Gradient Descent
		4.2 Generator
		4.3 Discriminator
		4.4 Optimizing the Model
		4.5 Cost of the GAN
		4.6 Cost of the Generator
		4.7 Loss Function
		4.8 Generator Loss
		4.9 Discriminator Loss
		4.10 Combined Loss Functions
		4.11 Experimental Setup
	5 Conclusion
	References
Information Systems Analysis and Specification
Modelling Software Tasks for Supporting Resource-Driven Adaptation
	1 Introduction
	2 Related Work
	3 Meta-model of SERIES
		3.1 Constructs that SERIES Incorporates from CTT
		3.2 Abstract Task
		3.3 Application Task
		3.4 Application Task Variant
	4 Automated Warehouse System Example
		4.1 Abstract Task: Prepare Order
		4.2 Application Tasks
		4.3 Application Task Variants for Pack Items in a Box
		4.4 Application Task Variants for Decorate Box
	5 Supporting Tool of SERIES
	6 Evaluation
		6.1 Participants
		6.2 Design of the Study
		6.3 Results
	7 Conclusion and Future Work
	References
A Critical View on the OQuaRE Ontology Quality Framework
	1 Introduction
	2 Inconsistent Metric Definitions of OQuaRE
		2.1 Number of Children (NOCOnto)
		2.2 Response for a Class (RFCOnto)
		2.3 Relationship Richness (RROnto)
		2.4 Properties Richness (PROnto)
		2.5 Tangledness (TMOnto)
		2.6 Weighted Method Count (WMCOnto)
		2.7 Attribute Richness (AROnto)
	3 Harmonized OQuaRE Framework
		3.1 Metric Definitions
		3.2 OQuaRE Quality Characteristics
		3.3 Connecting Quality Characteristics and Metrics
	4 Evaluation of the OQuaRE Quality Ratings
		4.1 Previous Evaluations of and with OQuaRE
		4.2 Metric Data Origin Methodology
		4.3 The Distribution of OQuaRE Ratings on the Metric Dataset
		4.4 Implications of the Quality Evaluation
	5 Discussion and Conclusion
	References
Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Literature Review
	1 Introduction
	2 Theoretical Reference
		2.1 Industry-Academy Collaboration (IAC)
		2.2 Agile Software Development (ASD)
	3 Methodology
	4 Search Results and Discussions
		4.1 A. (RQ1) What Challenges to the Application of IACs in ASD Were Raised?
		4.2 B. (RQ2) What Are the Proposed Practices for Improving IAC in the Context of ASD?
		4.3 C. (RQ3) What Types of IAC Models Have Been Proposed in the Context of ASD?
		4.4 Correlations Between Challenges and Good Practices
		4.5 Discussions and Threats to Validity
	5 Conclusion
	References
Human-Computer Interaction
Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems
	1 From Distance Education to Self-paced e-Learning
	2 Design Elements of the Self-paced e-Learning Environments
	3 Pilot and Case Studies
		3.1 Pilot
		3.2 Course “Modelling and Design of Business Information Systems”
		3.3 Hands-On-Training on SAP ERP-Systems (SAP S/4 HANA)
		3.4 Course “Business Information Systems”
		3.5 Course “Management and Control of IT”
	4 Research Model and Data Collection
	5 Conclusions
	References
Human-Computer Interaction: Ethical Perspectives on Technology and Its (Mis)uses
	1 Introduction
	2 The Neuralink Experiment and the Financial Power to Support Scientific Research
	3 Treating Depression with a Deep Stimulation Device
	4 Neuralink, Mental Illness and the Use of Human-Computer Interaction to Exert Social Control
	5 Conclusions
	References
Enterprise Architecture
Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively
	1 Introduction
	2 Methodological Approach
	3 Background Knowledge
		3.1 Business Process Discovering and Modeling
		3.2 Design Principles to Foster Business Processes Discovering
	4 Related Work
	5 Proposal: The Meet2map Framework
		5.1 Modeling Tool
		5.2 Collaborative Modeling Process
		5.3 Artifacts
	6 Evaluation
		6.1 Case Study 1
		6.2 Case Study 2
	7 Discussion
	8 Conclusion
	References
The Factors of Enterprise Business Architecture Readiness in Organisations
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Analysis of the Data
		4.1 Factors of Readiness
		4.2 Rationale of Readiness
		4.3 Process of Readiness
	5 Discussion of Results
		5.1 Usefulness of the Assessment Model
		5.2 Value Adds to EBA Development
		5.3 Design and Automation of Processes
		5.4 Ease of Use of the Assessment Model
	6 Conclusion
	References
A Specification of How to Extract Relevant Process Details to Improve Process Models
	1 Introduction
	2 Related Work
	3 Extending Process Models by Relevant Process Details
		3.1 Extended Concept
		3.2 Types of Missing Process Details
		3.3 Types of Data Sources
		3.4 Limitations
	4 Implementation of the Analysis and Annotation Step by Using Unstructured Image Data
		4.1 Motivating Example Process
		4.2 Background and Technical Approach
		4.3 Experiments
		4.4 Evaluation
	5 Conclusions
	References
Considering User Preferences During Business Process Execution Using Content-Based Filtering
	1 Introduction
	2 Background
	3 Conceptual Approach
	4 Implementation and Feasibility
	5 Conclusion and Future Work
	References
Author Index