Research Challenges in Information Science

Name: Research Challenges in Information Science | 18th International Conference, RCIS 2024, Guimarães, Portugal, May 14-17, 2024, Proceedings, Part I
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18th International Conference, RCIS 2024, Guimarães, Portugal, May 14-17, 2024, Proceedings, Part I

João Araújo Jose Luis de la Vara Maribel Yasmina Santos Saïd Assar(Editor)

Springer (Publisher)

Published on 1. May 2024

XXVI, 427 pages

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978-3-031-59465-6 (ISBN)

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Content

Intro
Preface
Organization
Abstracts of Keynote Talks
Information Science Research with Large Language Models: Between Science and Fiction
The Power of Information Systems Shaping the Future of the Automotive Industry
BPM in the Era of AI and Generative AI: Opportunities and Challenges
Contents - Part I
Contents - Part II
Data and Information Management
Unified Models and Framework for Querying Distributed Data Across Polystores
1 Introduction
2 Motivating Example
3 Our Proposed Framework
3.1 Problem Statement
3.2 An Overview of the Framework
4 Experiments
4.1 Datasets
4.2 Developed Framework Modules
4.3 Experimental Setup and Protocol
4.4 Evaluation of Our Framework Adaptability
4.5 Evaluation of Our Framework with Data Volume
5 Related Work
6 Conclusion
References
Enabling Interdisciplinary Research in Open Science: Open Science Data Network
1 Introduction
2 Related Works
3 Open Science and Information Exchange
3.1 Formal Notation
3.2 Interoperability and Information Exchange
3.3 Open Science Information Exchange Quantitative Assessment
4 Proposition: The Open Science Data Network
4.1 Information Exchange and Interoperability in OSDN
4.2 Scalability - Robustness of OSDN
5 Experiments
5.1 OSDN Network POC
5.2 Use Case - An Agronomic Research Project
6 Conclusion
References
TD-CRESTS: Top-Down Chunk Retrieval Based on Entity, Section, and Topic Selection
1 Introduction
2 Related Work
3 Our Proposal
3.1 Contexts Preparation
3.2 Text Chunk Retrieval
4 Results and Discussion
4.1 Experimental Setup
4.2 Datasets
4.3 Metrics
4.4 Experiments
5 Conclusion
References
Conceptual Modelling and Ontologies
An Ontology-Driven Solution for Capturing Spatial and Temporal Dynamics in Smart Agriculture
1 Introduction
2 State of the Art
3 AGROTS Ontology
4 Creating the Knowledge Base
5 Ontology Evaluation
5.1 Validation Step
5.2 Verification Step
6 System Architecture
7 Conclusions and Future Improvements
References
A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks
1 Introduction
2 Related Work
3 Methodology
4 Challenge of Designing Resilient Supply Chain Networks
5 Knowledge Graph Schema for Resilient Supply Chain Networks
6 Implementation of the Knowledge Graph Schema for RASSA
6.1 Instances
6.2 Automatic Reasoning for Manufacturing Risk
6.3 Automatic Reasoning for Supply Risk
6.4 Automatic Reasoning for Total Risk Propagated Per Supply Chain Node
6.5 Automatic Reasoning for Value at Risk
7 Findings and Discussion
8 Conclusion and Outlook
References
A Conceptual Model of Digital Immune System to Increase the Resilience of Technology Ecosystems
1 Introduction
2 Approach
3 Background and Requirements Towards Digital Immune System
3.1 ISO 22301:2019
3.2 ISO/IEC 27001:2022
3.3 The NIST Cybersecurity Framework
3.4 European Union Initiatives
4 Challenges of IT Resilience, Business Continuity and Managing Techniques
4.1 Challenges of IT Resilience and Business Continuity
4.2 The Techniques for Monitoring and Managing the Resilience
5 Framework and Evaluation
5.1 Framework for the Evaluation of Digital Immune System
5.2 Case Study
6 Discussion and Conclusion
References
Requirements and Architecture
Dealing with Emotional Requirements for Software Ecosystems: Findings and Lessons Learned in the PHArA-ON Project
1 Introduction
2 The PHArA-ON Project
3 A Process for Engineering Emotional Requirements
4 Applying the Process for Engineering the Emotional Requirements for the PHArA-ON Ecosystem
5 Findings and Lessons Learned
6 Related Work
7 Conclusions and Future Work
References
A Tertiary Study on Quality in Use Evaluation of Smart Environment Applications
1 Introduction
2 Background
3 The Tertiary Study
3.1 Planning: Research Protocol
3.2 Execution
4 Discussion of the Results
4.1 RQ1. What Are the Most Common Evaluation Approaches for QinU?
4.2 RQ2: What Are the Most Evaluated Types of Systems?
4.3 RQ3: Which Quality Characteristics Were the Most Evaluated?
5 Threats to Validity
6 Final Remarks
References
A Reference Architecture for Dry Port Digital Twins: Preliminary Assessment Using ArchiMate
1 Introduction
2 Methodology
3 Literature Review
3.1 Digital Twins in Ports
3.2 Foundations of Enterprise Architecture
3.3 How EA Shapes the Current Advances of Smart Spaces
4 Dry Port Digital Twin Architecture
4.1 Key Applications
4.2 Requirements Identification
4.3 Preliminary TO-BE Architecture
4.4 Summative Evaluation of the Dry Port Digital Twin Architecture
5 Conclusion
References
Business Process Management
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes
1 Introduction
2 Related Work
3 Daemon Action Approach
4 Experiment Design
4.1 Questions
4.2 Datasets
4.3 Experiment Setup
5 Results
6 Discussion
7 Conclusion and Future Work
References
Which Legal Requirements are Relevant to a Business Process? Comparing AI-Driven Methods as Expert Aid
1 Motivation
2 Approach
2.1 Analyzed Aspects
2.2 Method Analysis
3 Implementation
3.1 Expert Analysis
3.2 SOTA NLP LIR
3.3 GPT-4
4 Evaluation
4.1 Results
4.2 Comparison
5 Discussion
5.1 Implications
5.2 Limitations
6 Related Work
7 Conclusion
References
Conversational Systems for AI-Augmented Business Process Management
1 Introduction
2 Background on Conversational Systems
3 Search Protocol
4 Descriptive Process Analytics
5 Predictive Process Analytics
6 Prescriptive Process Optimization
7 Augmented Process Execution
8 Related Work
9 Threats to Validity and Concluding Remarks
References
Data and Process Science
TimeFlows: Visualizing Process Chronologies from Vast Collections of Heterogeneous Information Objects
1 Introduction
2 Literature Review
3 Research Method
3.1 Interviewee Groups
3.2 Semi-structured Interviews
4 Constructing Process Chronologies
4.1 Situationalized Process Chronologies
4.2 Identified Relations Used in Document Analysis
5 Visualizing TimeFlows
5.1 TimeFlows to Visualize Process Chronologies
5.2 An Illustrative Example
6 Further Research: Challenges
7 Conclusion
References
Imposing Rules in Process Discovery: An Inductive Mining Approach
1 Introduction
2 Related Work
3 Motivating Examples
4 Preliminaries
5 Inductive Miner with Rules (IMr)
5.1 The Set of Rules
5.2 Candidate Cuts Pruning
6 Evaluation
6.1 Real-Life Event Logs
6.2 Case Study UWV
7 Open Challenges
8 Conclusion
References
An Approach for Discovering Data-Driven Object Lifecycle Processes
1 Introduction
2 Fundamentals
3 Proposed Approach
4 Object Lifecycle Process Discovery
4.1 Discovering Object Behavior on State Level
4.2 Discovering Object Behavior on Step Level
4.3 Algorithm Selection
4.4 Combining State and Step Level
5 Evaluation
5.1 Scenario 1: Human Resource Management
5.2 Scenario 2: E-Learning (Phoodle)
5.3 Scenario 3: SAP Procure-to-Pay
5.4 Footprint Comparison
5.5 Threats to Validity
6 Related Work
7 Summary and Outlook
References
Security
US4USec: A User Story Model for Usable Security
1 Introduction
2 Research Method
3 Identifying Best Practices for Constructing the US4USec Model via an SLR
4 Deriving Key Requirements for Constructing the US4USec Model
5 Constructing the US4USec Model
6 Evaluating the US4USec Model
7 Threats to Validity
8 Conclusion and Future Work
References
Do Cialdini's Persuasion Principles Still Influence Trust and Risk-Taking When Social Engineering is Knowingly Possible?
1 Introduction
2 Methodology
2.1 Recruitment and Data Collection
2.2 Measures
2.3 Data Analysis
3 Results
3.1 Descriptive Statistics
3.2 Impact of Cialdini's Persuasion Principles on App Installation and Trust
3.3 Security Attitude Vs. Risk Taking and Trust Under Cialdini's Principles
4 Discussion
5 Conclusion
References
Classifying Healthcare and Social Organizations in Cybersecurity Profiles
1 Introduction
2 Background
2.1 Definitions
2.2 Prior Studies
2.3 Cybersecurity Measures
3 Methodology
3.1 Data Collection
3.2 Classification Approach for RQ1
3.3 ANOVA Approach for RQ2
4 Results
4.1 Classification of Healthcare and Social Organizations (RQ1)
4.2 Differences Between the Cybersecurity Profiles (RQ2)
5 Discussion
5.1 Scientific Contributions
5.2 Practical Implications
5.3 Research Limitation and Future Research Directions
6 Conclusion
References
Sustainability
A Reference Architecture for Digital Product Passports at Batch Level to Support Manufacturing Supply Chains
1 Introduction
2 Towards Sustainable Manufacturing Supply Chains
3 Component-Based Digital Product Passport
3.1 Architectural Analysis of Manufacturing Supply Chain
3.2 DPP Information Model and Requirements
3.3 Gap Analysis for DPP System Development
3.4 DPP Reference Architecture
4 Validation
4.1 Proof of Concept
4.2 Panel of Experts Validation
5 Conclusion
References
The Effects of Class Balance on the Training Energy Consumption of Logistic Regression Models
1 Introduction
2 Related Works
3 Background from Previous Study
4 Description of the Laboratory Study
5 Results
5.1 Comparing the Synthetic Balanced and Unbalanced Datasets
5.2 Comparing the Synthetic Datasets with the Original Dataset
6 Threats to Validity
7 Discussion and Conclusions
References
Optimising Sustainability Accounting: Using Language Models to Match and Merge Survey Indicators
1 Introduction
2 Research Method
3 Problem Investigation
3.1 Redundancy Problems in ESG Accounting
3.2 The OpenESEA Domain-Specific Language
3.3 Model Management as an Approach for Eliminating Redundancy
3.4 Sentence Embedding as a Support for the Matching Operation
4 Match and Merge Algorithms for ESGA Method Models
4.1 The Five-Step Approach for Eliminating Redundancy
4.2 Demonstration of the Algorithm
4.3 Backward Transformation to the Original Questions
5 Validation
6 Discussion and Conclusion
References
Evaluation and Experience Studies
Adaptive Portfolio Management Based on Complexity Theory and Sociotechnical Design
1 Introduction
2 Overview of the Whole AR-Based Research Project
3 Background
3.1 Project Portfolio Management
3.2 Complex Adaptive Systems
3.3 Design of Sociotechnical Organisational Systems
4 Research Design and Case Description
5 Case Findings
5.1 Setup Section: Sociotechnical Dimensions of Change
5.2 Adaptive Governance Processes Axis
5.3 Technology Axis
5.4 Culture Axis (Including People, Talent and Leadership)
5.5 Closure Section
6 Threats to Validity: Limitations and Possible Generalisation
7 Future Work
References
Empathy vs Reluctance to Challenge Misinformation: The Mediating Role of Relationship Costs, Perspective Taking, and Need for Cognition
1 Introduction
2 Hypotheses Development
3 Study Design
3.1 Survey Development
3.2 Data Collection Procedure
3.3 Participants
3.4 Pilot Study
4 Results
4.1 Demographic Results
4.2 PLS-SEM Analysis
5 Discussion
5.1 Research Implications
5.2 Limitations
6 Conclusion and Future Work
References
An Industrial Experience Leveraging the iv4XR Framework for BDD Testing of a 3D Sandbox Game
1 Introduction
2 Related Work
3 Context: Space Engineers Game
3.1 Game Objects
3.2 Current Testing Practices
3.3 Challenges Automating Game-Testing Execution
4 Space Engineers-Plugin in iv4XR Framework
5 Behavior-Driven-Development for Test Automation
5.1 Given-When-Then Theoretical Structure
5.2 BDD in Practice with Cucumber
5.3 Space Engineers Pre-designed Game Level for Testing
6 Industrial Application of BDD Test Scenarios
7 Threats to Validity
8 Lessons Learned
9 Conclusions and Future Work
References
Emotion Trajectory and Student Performance in Engineering Education: A Preliminary Study
1 Introduction
2 Motivation and Related Work
2.1 Affective Computing and Education
2.2 Pedagogical Emotions
2.3 Emotion Trajectory
3 Methodology
3.1 Experimental Setting
3.2 Data Collection
3.3 Data Pre-processing
3.4 Data Analysis Methods
4 Results and Discussions
4.1 Student's Emotional Range
4.2 Emotion Trajectory Analysis and Circularity of Emotions
5 Conclusion
References
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Research Challenges in Information Science

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