Advances in Information Systems Development: AI for IS Development and Operations (Lecture Notes in Information Systems and Organisation, 63)

• Publisher: Springer
• Tongue: English
• Leaves: 249
• Category: Library

✦ Synopsis

This volume is a collection of papers on emerging concepts, significant insights, and novel approaches on information systems development (ISD). It examines and investigates up-and-coming trends in ISD in general, emphasizing benefits and risks of Artificial Intelligence in the development and operation of Information Systems. The book draws on invited papers selected from the proceedings of the 30th International Conference on Information Systems Development hosted by Babeș-Bolyai University, Cluj-Napoca, Romania, August 31 - September 2, 2022 (ISD2022). The theme of ISD2022 was “Artificial Intelligence  for Information Systems Development and Operations”. The conference focused on the interplay between Information Systems and Artificial Intelligence, trying to emphasize novel, smarter automation approaches and the mitigation of risks related to AI adoption. Primary readership of the volume are researchers interested in methodological and operational perspectives related to ISD in general, and to AI adoption as a means of digital transformation in particular.

✦ Table of Contents

Conference Organization
Preface
Contents
A DSR Study on Iterative Tool Development to Measure IT Process Maturity in an Agile Context
1 Introduction
2 Process Maturity Assessments
3 The Case Organization
4 Development of the Self-Assessment Tool
5 Method
6 Results
6.1 Iteration 1—Pilot Survey
6.2 Iteration 2—Q4 2018 Survey
6.3 Iteration 3—Q2 2019 Survey
7 Discussion
8 Concluding Remarks
References
A Living Lab Perspective on Information Systems Development Process
1 Introduction
2 Background
2.1 Information Systems and Participatory Design
2.2 Living Labs
3 Research Methodology
4 ISD in Living Labs
4.1 Planning
4.2 Exploration
4.3 Cocreation
4.4 Implementation
4.5 Evaluation
4.6 Adoption
5 Final Remarks
5.1 SWOT Analysis
5.2 Limitations and Future Research
References
Cloud-Based Business Intelligence Solutions in the Management of Polish Companies
1 Introduction
2 Characteristics of Cloud-Based Business Intelligence Systems
3 Business Intelligence in the Cloud as a Factor Affecting Business Organization Development
4 The Scale of Cloud BI Application Among Medium and Large Companies in Poland
5 Conclusion
References
Conceptualizing Node.js Projects: A Graph-Oriented Technology-Specific Modeling Method
1 Introduction
2 Motivation and Background
2.1 Node.js and Its Ecosystems
2.2 Domain-Specific Model-Driven Node.js Complexity Management
3 The Proposed Modeling Tool
3.1 Requirements
3.2 Methodological Aspects
3.3 Solution Overview
4 Design Decisions
5 Running Example and Validation
6 Semantic Processing
7 Related Work
8 Conclusions and Future Works
References
Employing Graph Databases for Business Process Management and Representation
1 Introduction
2 Related Work
3 Prototype Summary and Research Method
4 Conversion Principles
5 Demonstrative Application
6 Implementation Details
7 Evaluation
8 Conclusions
Appendix
References
IT Alignment as a Roadmap for Digital Transformation Success
1 Introduction
2 Literature Review
2.1 Digital Transformation in Public Organisations
2.2 Managing Digital Transformation
2.3 IT Alignment and Digital Transformation in Public Organisations
3 Research Methodology
3.1 Research Strategy and Case Study Setting
3.2 Data Collection Method
3.3 Data Analysis Method
4 Results and Discussion
4.1 Organisational Structure
4.2 Organisational Culture
4.3 Organisational Agility
4.4 Leadership Skills
4.5 Human Resources Management
4.6 Digital Metrics
4.7 External Domain Alignment
4.8 Stakeholder Relationships
5 Conclusions
References
On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers?
1 Introduction and Context
2 Background
3 CARL—A Smart Framework for Automatic Detection of Architectural Layers in Mobile Codebases
4 Numerical Experiments
4.1 Analysed Codebases
4.2 Evaluation Metrics
4.3 Empirical Evaluation
5 Threats to Validity
6 Conclusion and Further Work
References
Police Interventions as a Context-Aware System. A Case of a Contextual Data Modelling
1 Introduction
2 Context Understanding and Modelling
2.1 Categorisation
2.2 Operational Relationships
2.3 Attributing
3 Multi-agent System
4 Behavioural Model
4.1 Police Patrol
4.2 Outline of the Remaining Rules
5 Simulation Results
5.1 Basic Assumptions
5.2 Course of the Simulation
6 Related Works
7 Conclusions
References
Relevance Judgment Convergence Degree—A Measure of Assessors Inconsistency for Information Retrieval Datasets
1 Introduction
2 Related Work
3 Issues and Challenges of Information Relevance Judgement
4 Motivation and Research Goal
5 Research Methodology and Web Search Instrument Development
6 Ambiguous Search Term Selection and Relevance Judgment
6.1 Ambiguous Search Term Selection
6.2 Graded Relevance Judgment Categories
7 Experiments and Evaluation
7.1 Experimental Dataset Generation
7.2 Human Relevant Judgment Results
7.3 Re-ranking Search Results
7.4 Relevance Judgment Convergence Degree (RJCD)
7.5 Correlation Analysis Between RJCD and the Re-Ranked Results
8 Conclusion and Future Work
References
Studies on Neural Networks as a Fusion Method for Dispersed Data with Noise
1 Introduction
2 Literature Review
3 Methods and Data
3.1 Dispersed Classification Method with k-Nearest Neighbors and the Neural Network Classifiers
3.2 Data
4 Results
4.1 Comparison of Experimental Results for Different Numbers of Conditional Attributes
4.2 Comparison of Experimental Results for Different Numbers of Training Objects
4.3 Comparison of Experimental Results for Different Numbers of Decision Classes
4.4 Comparison of Experimental Results for Different Degree of Dispersion
4.5 Comparison of Experimental Results for Different Noise Intensity in Data
5 Conclusion
References
Temporal VIKOR—A New MCDA Method Supporting Sustainability Assessment
1 Introduction
2 Literature Review
3 Methodology
3.1 The Temporal VIKOR Method
3.2 The Entropy Weighting Method
3.3 Spearman Rank Correlation Coefficient—rs
3.4 Weighted Spearman's Rank Correlation Coefficient—rw
3.5 Other Measures of Data Variability
3.6 The Dataset
4 Results
5 Conclusion
References
Topic Classification for Short Texts
1 Introduction
2 Related Work
3 Data Processing Methodology
3.1 Dataset Description
3.2 Text Preprocessing
3.3 Feature Extraction
3.4 Classifier Selection
3.5 Hyperparameter Optimization
4 Experiments and Results
5 Conclusions
References
What Do They Study?: A Survey on Factors Influencing the Selection of Information Systems as a Major
1 Introduction
2 Related Research
3 Research Design
4 Findings
4.1 Frequencies
4.2 Differences Between Faculties and Genders
5 Discussion
6 Conclusions
References