Explainable Artificial Intelligence in the Digital Sustainability Administration : Proceedings of the 2nd International Conference on Explainable Artificial Intelligence in the Digital Sustainability Administration (AIRDS 2024)

• Autore: Alnoor Alhamzah
• Pubblicazione: Cham : , : Springer, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (404 pages)
• Altri autori: CamilleriMark Al-AbrrowHadi A ValeriMarco BayramGül Erkol MuhsenYousif Raad
• Nota di contenuto: Intro -- Preface -- Organization -- Contents -- Explainable Machine Learning for Real-Time Payment Fraud Detection: Building Trustworthy Models to Protect Financial Transactions -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Selection of Features -- 3.3 ML Algorithm Selection -- 3.4 Explainable/Fraud Detection Model Evaluation -- 4 Dataset Exploration and Description -- 4.1 Exploratory Data Analysis -- 4.2 Bivariate Analysis: Transaction Type vs. Fraud Occurrence -- 4.3 Transaction Type Distribution -- 4.4 Distribution of Fraudulent Transactions -- 4.5 Dataset Analysis Implications -- 4.6 Multicollinearity Analysis -- 4.7 Methods to Detect and Address Multicollinearity -- 4.8 Analysis of Variance Inflation Factor (VIF) Results -- 4.9 Handling Imbalanced Data -- 4.10 Feature Importance in Fraud Detection Models -- 5 Results and Discussion -- 5.1 Category 1: Training and Testing Model Evaluation -- 5.2 Category 2: Data Classifications Model Evaluation -- 5.3 Implications of Model Selection in Fraud Detection -- 6 Conclusion -- References -- Applying Robotic Process Automation (RPA) in Sustainable Audit Quality: A Literature Review Survey -- 1 Introduction -- 2 Literature Review -- 2.1 Robotic Process Automation in Audit -- 2.2 Previous Studies -- 3 Methodology -- 4 Discussion -- 4.1 Data Standardization -- 4.2 Challenges and Concerns of Implementing RPA -- 4.3 Define and Implement a Framework -- 5 Avenues for Future Directions -- 6 Conclusion -- References -- Advancing Sustainable Learning by Boosting Student Self-regulated Learning and Feedback Through AI-Driven Personalized in EFL Education -- 1 Introduction -- 2 Literature Review -- 2.1 The Application of AI to the Field of EFL Education (AIEd) Metaverse -- 2.2 Self-regulated Learning in EFL Through AI -- 3 Methodology -- 4 Results and Discussion. ; 4.1 Results -- 4.2 Discussion -- 5 Implications and Future Studies -- 6 Conclusion -- References -- Enabling Sustainable Learning Through Virtual Robotics Machine Mediation of Social Interactions Between Teachers, Students, and Machines Based on Sociology Lens -- 1 Introduction -- 2 Literature Review -- 2.1 Bourdieusean Visualisation of AI in Education -- 2.2 Human-Machine Communication Through AI-Virtual Robotics -- 3 Methodology -- 3.1 Research Design -- 3.2 Participants -- 3.3 Procedures -- 3.4 Statistical Approach -- 4 Results and Discussion -- 4.1 Data from Survey -- 4.2 Discussion -- 5 Implications and Future Studies -- 5.1 Theoretical Implications -- 5.2 Practical Implications -- 5.3 Future Studies -- 6 Conclusion -- References -- The Role of Artificial Intelligence in Improving Customer Service and Retaining Human Resources: Digital Sustainability as a Mediating Variable -- 1 Introduction -- 2 Literature Review -- 2.1 Artificial Intelligence -- 2.2 Customer Service -- 2.3 Retaining Human Resources -- 3 Hypothesis Development -- 3.1 Theoretical Development and Hypotheses -- 4 Methodology -- 5 Results -- 6 Contributions and Future Research -- 6.1 Theoretical Implications -- 6.2 Practical Implications -- 6.3 Future Studies -- 7 Conclusion -- References -- Modelling Intelligent Agriculture Decision Support Tools to Boost Sustainable Digitalization: Evidence from MCDM Methods -- 1 Introduction -- 2 Methodology -- 2.1 Decision Matrix -- 2.2 Weighting Criteria -- 2.3 Ranking Alternatives -- 3 Discussion Results -- 3.1 Criteria Weighting Results -- 3.2 IADST Ranking Results -- 4 Validation -- 5 Conclusion -- References -- "The Role of AI Applications in the Advertising and Design in Social Media Marketing: A Stride in the Direction of Marketing Sustainability" -- 1 Introduction -- 2 Literature Review -- 2.1 Underpinning Theory. ; 2.2 Artificial Intelligence Leads to Sustainability in Various Contexts -- 2.3 Artificial Intelligence Application Positively and Using Design in Social Media Marketing. -- 2.4 Artificial Intelligence Applications Positively Lead to the Use of Advertising in Social Media Marketing. -- 3 Research Methodology -- 3.1 Research Design -- 3.2 Data Collection, Population, and Sample -- 3.3 Data Analysis -- 4 Result and Discussion -- 4.1 Primary Data Presentation -- 4.2 Demographic Information -- 4.3 In Relation to the Study's Aim and Objectives -- 4.4 Evidence Through Structural Equation Modeling (SEM) -- 4.5 Construction of Interview Schedule -- 5 Implications of the Study -- 5.1 Theoretical Implications -- 5.2 Practical Implications -- 5.3 Limitations and Future Directions -- 6 Conclusion -- References -- Artificial Intelligence and Environmental, Social and Governance: A Bibliometric Analysis Review -- 1 Introduction -- 2 Methods -- 2.1 Search Strategy and Data Collection -- 2.2 Data Cleaning and Harmonisation -- 2.3 Data Analysis and Tools -- 3 Results -- 3.1 Documents Profiles -- 3.2 Publication Trends -- 3.3 Publications By Institutions -- 3.4 Publications By Countries -- 3.5 Highly Cited Documents -- 3.6 Co-authorship Analysis -- 3.7 Co-authorship by Countries -- 3.8 Co-occurrence Analysis of Author's Keywords -- 4 Discussion and Conclusion -- References -- The Mediating Influence of Energy Reduction on the Relationship Between Green Production and Digital Sustainability: Insights from Iraqi Oil Companies -- 1 Introduction -- 2 Literature Review and Hypotheses Development -- 2.1 Green Production and Energy Reduction -- 2.2 Energy Reduction and Sustainability -- 2.3 Green Production and Sustainability -- 2.4 The Mediating Role of Energy Reduction -- 3 Methodology -- 3.1 Our Sample Size and Procedure -- 3.2 Instrument Development and Measurement. ; 4 Results -- 4.1 Descriptive Analysis of Respondents -- 4.2 Measurement Model -- 4.3 Structural Model -- 5 Discussion -- 5.1 Theoretical Contribution -- 5.2 Practical and Policy Contribution -- 6 Limitations and Future Directions Research -- 7 Conclusion -- References -- Exploring University Faculty Members' Sustainable Innovative Behavior of Work with Artificial Intelligence: A Review of the Literature -- 1 Introduction -- 2 Literature Review Behavior of Work Innovative -- 2.1 Behavior of Work Innovative -- 2.2 Job Autonomy -- 2.3 Job Commitment -- 3 Proposed Structure and Conclusion -- References -- Exploring Customer Engagement Intentions with Interactive Smart Tables of AI for Full-Service Restaurants Sustainability -- 1 Introduction -- 2 Literature Review and Study Hypothesis Development -- 2.1 Theoretical Foundation -- 2.2 Attitude Towards AI -- 3 Hypothesis Development -- 3.1 Hedonic Motivation -- 3.2 Social Influence -- 3.3 Facilitating Condition -- 3.4 Effort Expectancy -- 3.5 Performance Expectancies -- 3.6 Personal Innovativeness -- 4 Methods -- 4.1 Participants and Procedure -- 4.2 Instrumentation -- 5 Results -- 5.1 Demographic Distribution -- 5.2 Assessment of Measurement Model -- 5.3 Convergent Validity -- 5.4 Discriminant Validity -- 5.5 Assessment of Structural Model -- 6 Discussion -- 6.1 Theoretical Implications -- 6.2 Practical Implications -- 6.3 Limitations and Future Studies -- 6.4 Conclusion -- References -- The Role of Artificial Intelligence Trading Robots in Rationalizing Cryptocurrency Trading Decisions by Application to Bitcoin Currency -- 1 Introduction -- 2 Literature Review -- 2.1 The Concept of Artificial Intelligence -- 2.2 Trading Platforms -- 2.3 Technical Analysis Indicators -- 3 Methodology -- 4 Results -- 5 Conclusions and Implications -- References. ; Financing and Investing in Artificial Intelligence: The Lucrative Benefits in Terms of Sustainable Digitalization -- 1 Introduction -- 2 Study Methodology -- 2.1 Study Hypothesis -- 2.2 Study Importance -- 2.3 Study Objectives -- 2.4 Study Problem -- 3 Theoretical Framework of Artificial Intelligence -- 3.1 The Concept of Artificial Intelligence -- 3.2 The Nature of Artificial Intelligence -- 3.3 Characteristics of Artificial Intelligence -- 3.4 Motivation and Dimensions of AI Application -- 4 Artificial Intelligence Applications -- 4.1 Nvidia Stocks - One of the Most Popular AI Stocks -- 4.2 AMD Stock - One of the Most Exciting AI Stocks -- 4.3 Micron Stocks - One of the Best AI Stocks -- 4.4 Amazon Stock - One of the Most Popular AI Stocks -- 4.5 Microsoft Stocks - One of the Most Important and Promising Artificial Intelligence Stocks -- 4.6 Palantir Stocks (PLTR) - One of the Biggest AI Stocks to Observe -- 4.7 Adobe Stocks (ADBE) - One of the Best AI Stocks Specializing in Marketing and Data Analysis -- 4.8 IBM Stocks - One of the Most Prestigious and Best Artificial Intelligence Stocks -- 5 Arab Experiences in the Field of Artificial Intelligence -- 5.1 The UAE -- 5.2 The Kingdom of Saudi Arabia -- 6 Opportunities and Gains of Applying Artificial Intelligence -- 7 Conclusions -- 8 Recommendations -- References -- Sustaining an Agile Supply Chain by Adopting Industry Technologies (4.0) -- 1 Introduction -- 2 Hypothesis Development -- 2.1 Big Data Analytics and Sustaining Agile Supply Chains -- 2.2 Internet of Things and Sustaining Agile Supply Chains -- 2.3 Cloud Computing and Sustaining Agile Supply Chains -- 3 Research Methodology -- 4 Data Analysis -- 5 Discussion -- 6 Conclusion -- References -- The Investment of Human Capital in Digital Green Economy Transition to Support Artificial Intelligence Technologies at Private Hospitals. ; 1 Introduction.
• Titolo autorizzato: Explainable Artificial Intelligence in the Digital Sustainability Administration
• ISBN: 3-031-63717-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910869158103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems Series