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Artificial neural networks and structural equation modeling : marketing and consumer research applications / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors
| Artificial neural networks and structural equation modeling : marketing and consumer research applications / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 658.8342 |
| Soggetto topico |
Consumers - Research - Data processing
Marketing research - Data processing Neural networks (Computer science) Consumidors Màrqueting Processament de dades Xarxes neuronals (Informàtica) Models d'equacions estructurals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6509-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- List of Figures -- List of Tables -- Artificial Neural Network and Structural Equation Modeling Techniques: Social Commerce -- Artificial Neural Network and Structural Equation Modeling Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Information Sources -- 2.2 Study Selection -- 2.3 Search Strategy -- 2.4 Eligibility Criteria -- 3 Results and Discussion -- 3.1 Crisis -- 3.2 Organizational Theory -- 3.3 Prediction -- 3.4 Perception -- 3.5 Trust -- 3.6 UTAUT Model -- 3.7 Logistics -- 3.8 Mobile Payment -- 3.9 Social Commerce -- 3.10 Wearable Technology -- 3.11 Technology Acceptance -- 3.12 Cloud Computing -- 3.13 Sustainability -- 4 Conclusion -- References -- Determinants of Social Commerce -- 1 Introduction -- 2 Determinant of Social Commerce -- 2.1 Innovation Barriers -- 2.2 Social Support Theory -- 2.3 Social Network Theory -- 2.4 Elaboration Likelihood Model -- 2.5 Commitment Trust Theory -- 2.6 Theory of Social Presence -- 3 Customers' Intentions of Use Social Commerce -- 4 Discussion and Conclusion -- References -- Technology Acceptance Model in Social Commerce -- 1 Introduction -- 2 Discussion -- 3 Dimensions -- 4 Results -- References -- Social Commerce of Rural Communities -- 1 Introduction -- 2 Social Commerce Definition and Background -- 2.1 Social Commerce Definition -- 2.2 Social Commerce Development -- 3 Rural/Rustic Community Concept -- 4 Social Commerce in Rural/Rustic Communities, Perceived Risk and Trust -- 5 Perceived Risk -- 6 Perceived Trust -- 6.1 Education -- 6.2 Information Credibility -- 6.3 Website Quality -- 6.4 Information Quality -- 6.5 Social Support -- 6.6 Innovativeness -- 6.7 Altruism -- 6.8 Sense of Belonging -- 6.9 Electronic Word-of-Mouth (eWOM) -- 6.10 Self-Enhancement -- 7 Conclusion -- References -- Electronic Word of Mouth and Social Commerce -- 1 Introduction.
2 Concept of Electronic Word of Mouth -- 3 Concept of Social Commerce -- 4 The Difference between Electronic Commerce and Social Commerce -- 5 The Relationship Between eWOM and S-Commerce -- 6 Discussion -- 7 Theoretical Implication -- 8 Managerial Implication -- 9 Conclusion -- References -- Determinants of Customer Intentions to Use Social Commerce -- 1 Introduction -- 2 Social Commerce -- 2.1 Concept of Social Commerce -- 2.2 Factors that Influence on Social Commerce -- 2.3 The Customer Purchasing-Decision Process -- 2.4 Customer Intentions and Social Commerce -- 2.5 Enhancing Consumer Online Purchase Intention Through Perspective of Cognitive Evaluation Theory -- 3 Electronic Word Of Mouth (eWOM) -- 3.1 Concept of eWOM -- 3.2 WOM vs. eWOM -- 3.3 The Stages of eWOM -- 3.4 Social Media and Electronic Word of Mouth (eWOM) -- 3.5 Types of Electronic Word of Mouth and Their Impact on Consumer Attitudes -- 4 Conclusion -- References -- Barriers to Using Social Commerce -- 1 Introduction -- 2 Intentions of Customers -- 3 Social Commerce -- 4 Barriers to Using Social Commerce -- 5 Discussion -- 6 Conclusion -- References -- The Role of BlockChain Adoption and Supply Chain Practices on Social Commerce -- 1 Introduction -- 2 What Blockchain Is? -- 3 The Main Components of Blockchain -- 4 Applications of Blockchain -- 5 Blockchain Modules -- 6 The Concept of Supply Chain -- 7 Software and Supply Chain -- 8 Blockchain Technology as a New Driver in Supply Chain -- 9 The Main Technologies Can Support Both Blockchain and Supply Chain -- 10 The Main Challenges and Solutions Related to Blockchain and Supply Chain -- 11 Conclusion -- References -- Mobile Commerce and Social Commerce with the Development of Web 2.0 Technology -- 1 Introduction -- 2 Social Commerce -- 3 Mobile Commerce -- 4 Mobile Commerce in the Hospitality Sector. 5 Mobile Commerce in the Banking Sector -- 6 Mobile Commerce in the Healthcare Sector -- 7 Mobile Commerce in the Economy Sector -- 8 SEM and ANN Approach in Mobile Commerce -- 9 Discussion and Conclusion -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Technology of Marketing -- How Electronic Word of Mouth (eWOM) and Trust Affect Customers' Intention -- 1 Introduction -- 2 Literature Review of Electronic Word of Mouth -- 3 Perceived Crowding -- 4 Wearable Technology and eWOM -- 5 Customers' Intention of Using New Channels -- 6 Discussion -- 7 Theoretical Contributions -- 8 Managerial Contributions -- 9 Conclusion -- References -- Mobile Payment Technology -- 1 Introduction -- 2 Architecture for M-Payments -- 3 Technologies Used for Mobile Payments -- 4 Proximity Payments -- 5 Mobile Payment Protocols -- 6 Mobile System -- 7 Mobile Payment Security Issues -- 8 Detection of Malware -- 9 Conclusion -- References -- The Role of Online Advertising in the Intentions of Customers -- 1 Introduction -- 2 Online Advertising -- 3 Effectiveness and Issues of Online Advertising -- 4 Social Commerce -- 5 Trends in Social Commerce Research -- 6 Online Advertising and Customer Purchase Intentions -- 7 Discussion -- 8 Conclusion -- References -- Intention to Use Social Media Technology Among Customers -- 1 Introduction -- 2 Social Media Technologies, Challenges and Opportunities -- 2.1 Social Media Advantages/Opportunities -- 2.2 Social Media Challenges, Risks and Disadvantages -- 3 Managing Customer Relations on Online Products and Services -- 4 Customer Intentions to Use Social Media Technology -- 5 Discussion and Conclusion -- References -- Barriers to Using Mobile Payment Technology -- 1 Introduction -- 2 Concept of Mobile Payment Technology -- 3 Barriers to Using Mobile Payment Technology -- 3.1 Functional Barriers. 3.2 Usage Barrier -- 3.3 Value Barrier -- 3.4 Risk Barrier -- 3.5 Privacy Risk -- 3.6 Security Risk -- 3.7 Financial Risk -- 3.8 Operational Risk -- 3.9 Psychological Barriers -- 3.10 Tradition Barrier -- 3.11 Image Barrier -- 4 Mobile Payment Technology Acceptance -- 4.1 Prominent Technology-Related Models -- 4.2 User Perception and Experience with Mobile Payments -- 4.3 The Technology Acceptance Model -- 4.4 The Innovation Diffusion Theory -- 4.5 The Decision Process of Innovation Adoption -- 4.6 Resistance to Innovation Model -- 5 Mobile Payment Determinants -- 6 Discussion -- 7 Conclusion -- References -- Green Practices in Marketing -- 1 Introduction -- 2 Literature Development -- 2.1 Basic Things About Green Marketing -- 2.2 Characteristics and Green Marketing Mix -- 2.3 The Role of Green Communication -- 2.4 The Green Push-Pull Communication Strategies -- 2.5 The Green Communication Strategies and Pull-Push Effects -- 2.6 Openness of Green Marketing -- 2.7 Industrial Framework -- 2.8 The Relationship Between Altruism and Customer's Intention to Purchase Green Product -- 2.9 Theory of Planned Behavior -- 2.10 Value-Attitude-Behavior Cognitive Hierarchy in Green Marketing -- 2.11 Open Issues and Challenges of Green Practices in Social Commerce -- 2.12 The Practical Challenge for Greening Marketing Mix -- 2.13 Promotion of Green Marketing -- 3 Conclusion -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Sustainability of Marketing -- Social Responsibility in Marketing -- 1 Introduction -- 2 Marketing Definition -- 3 Corporate Social Responsibility (CSR), Definition and Background -- 4 Types of Corporate Social Responsibility -- 5 Corporate Social Responsibility in Marketing -- 6 CSR Implements in Marketing -- 7 Conclusion -- References -- Sustainability and Social Responsibility in Marketing -- 1 Introduction. 2 Literature Review -- 3 Corporate Social Responsibility in Marketing -- 4 Corporation Efforts in Communicating Their Corporate Social Responsibility Initiatives -- 5 Social Responsibility and Profitability -- 6 Conclusions and Recommendations -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Future Research Directions -- Artificial Neural Network and Structural Equation Modeling in the Future -- 1 Introduction -- 2 Exploring the Relations Between ANN and SEM -- 3 The Benefits of Structural Equation Modeling and Artificial Neural Network Approach -- 4 Artificial Neural Network and Structural Equation Modeling: Systematic Literature Review -- 5 Recommendations of the Previous Studies for SEM and ANN Analysis -- 6 Suggestions for Future Research -- 7 Conclusion -- References. |
| Record Nr. | UNINA-9910631087503321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Artificial neural networks and structural equation modeling : marketing and consumer research applications / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors
| Artificial neural networks and structural equation modeling : marketing and consumer research applications / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 658.8342 |
| Soggetto topico |
Consumers - Research - Data processing
Marketing research - Data processing Neural networks (Computer science) Consumidors Màrqueting Processament de dades Xarxes neuronals (Informàtica) Models d'equacions estructurals |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-19-6509-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- List of Figures -- List of Tables -- Artificial Neural Network and Structural Equation Modeling Techniques: Social Commerce -- Artificial Neural Network and Structural Equation Modeling Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Information Sources -- 2.2 Study Selection -- 2.3 Search Strategy -- 2.4 Eligibility Criteria -- 3 Results and Discussion -- 3.1 Crisis -- 3.2 Organizational Theory -- 3.3 Prediction -- 3.4 Perception -- 3.5 Trust -- 3.6 UTAUT Model -- 3.7 Logistics -- 3.8 Mobile Payment -- 3.9 Social Commerce -- 3.10 Wearable Technology -- 3.11 Technology Acceptance -- 3.12 Cloud Computing -- 3.13 Sustainability -- 4 Conclusion -- References -- Determinants of Social Commerce -- 1 Introduction -- 2 Determinant of Social Commerce -- 2.1 Innovation Barriers -- 2.2 Social Support Theory -- 2.3 Social Network Theory -- 2.4 Elaboration Likelihood Model -- 2.5 Commitment Trust Theory -- 2.6 Theory of Social Presence -- 3 Customers' Intentions of Use Social Commerce -- 4 Discussion and Conclusion -- References -- Technology Acceptance Model in Social Commerce -- 1 Introduction -- 2 Discussion -- 3 Dimensions -- 4 Results -- References -- Social Commerce of Rural Communities -- 1 Introduction -- 2 Social Commerce Definition and Background -- 2.1 Social Commerce Definition -- 2.2 Social Commerce Development -- 3 Rural/Rustic Community Concept -- 4 Social Commerce in Rural/Rustic Communities, Perceived Risk and Trust -- 5 Perceived Risk -- 6 Perceived Trust -- 6.1 Education -- 6.2 Information Credibility -- 6.3 Website Quality -- 6.4 Information Quality -- 6.5 Social Support -- 6.6 Innovativeness -- 6.7 Altruism -- 6.8 Sense of Belonging -- 6.9 Electronic Word-of-Mouth (eWOM) -- 6.10 Self-Enhancement -- 7 Conclusion -- References -- Electronic Word of Mouth and Social Commerce -- 1 Introduction.
2 Concept of Electronic Word of Mouth -- 3 Concept of Social Commerce -- 4 The Difference between Electronic Commerce and Social Commerce -- 5 The Relationship Between eWOM and S-Commerce -- 6 Discussion -- 7 Theoretical Implication -- 8 Managerial Implication -- 9 Conclusion -- References -- Determinants of Customer Intentions to Use Social Commerce -- 1 Introduction -- 2 Social Commerce -- 2.1 Concept of Social Commerce -- 2.2 Factors that Influence on Social Commerce -- 2.3 The Customer Purchasing-Decision Process -- 2.4 Customer Intentions and Social Commerce -- 2.5 Enhancing Consumer Online Purchase Intention Through Perspective of Cognitive Evaluation Theory -- 3 Electronic Word Of Mouth (eWOM) -- 3.1 Concept of eWOM -- 3.2 WOM vs. eWOM -- 3.3 The Stages of eWOM -- 3.4 Social Media and Electronic Word of Mouth (eWOM) -- 3.5 Types of Electronic Word of Mouth and Their Impact on Consumer Attitudes -- 4 Conclusion -- References -- Barriers to Using Social Commerce -- 1 Introduction -- 2 Intentions of Customers -- 3 Social Commerce -- 4 Barriers to Using Social Commerce -- 5 Discussion -- 6 Conclusion -- References -- The Role of BlockChain Adoption and Supply Chain Practices on Social Commerce -- 1 Introduction -- 2 What Blockchain Is? -- 3 The Main Components of Blockchain -- 4 Applications of Blockchain -- 5 Blockchain Modules -- 6 The Concept of Supply Chain -- 7 Software and Supply Chain -- 8 Blockchain Technology as a New Driver in Supply Chain -- 9 The Main Technologies Can Support Both Blockchain and Supply Chain -- 10 The Main Challenges and Solutions Related to Blockchain and Supply Chain -- 11 Conclusion -- References -- Mobile Commerce and Social Commerce with the Development of Web 2.0 Technology -- 1 Introduction -- 2 Social Commerce -- 3 Mobile Commerce -- 4 Mobile Commerce in the Hospitality Sector. 5 Mobile Commerce in the Banking Sector -- 6 Mobile Commerce in the Healthcare Sector -- 7 Mobile Commerce in the Economy Sector -- 8 SEM and ANN Approach in Mobile Commerce -- 9 Discussion and Conclusion -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Technology of Marketing -- How Electronic Word of Mouth (eWOM) and Trust Affect Customers' Intention -- 1 Introduction -- 2 Literature Review of Electronic Word of Mouth -- 3 Perceived Crowding -- 4 Wearable Technology and eWOM -- 5 Customers' Intention of Using New Channels -- 6 Discussion -- 7 Theoretical Contributions -- 8 Managerial Contributions -- 9 Conclusion -- References -- Mobile Payment Technology -- 1 Introduction -- 2 Architecture for M-Payments -- 3 Technologies Used for Mobile Payments -- 4 Proximity Payments -- 5 Mobile Payment Protocols -- 6 Mobile System -- 7 Mobile Payment Security Issues -- 8 Detection of Malware -- 9 Conclusion -- References -- The Role of Online Advertising in the Intentions of Customers -- 1 Introduction -- 2 Online Advertising -- 3 Effectiveness and Issues of Online Advertising -- 4 Social Commerce -- 5 Trends in Social Commerce Research -- 6 Online Advertising and Customer Purchase Intentions -- 7 Discussion -- 8 Conclusion -- References -- Intention to Use Social Media Technology Among Customers -- 1 Introduction -- 2 Social Media Technologies, Challenges and Opportunities -- 2.1 Social Media Advantages/Opportunities -- 2.2 Social Media Challenges, Risks and Disadvantages -- 3 Managing Customer Relations on Online Products and Services -- 4 Customer Intentions to Use Social Media Technology -- 5 Discussion and Conclusion -- References -- Barriers to Using Mobile Payment Technology -- 1 Introduction -- 2 Concept of Mobile Payment Technology -- 3 Barriers to Using Mobile Payment Technology -- 3.1 Functional Barriers. 3.2 Usage Barrier -- 3.3 Value Barrier -- 3.4 Risk Barrier -- 3.5 Privacy Risk -- 3.6 Security Risk -- 3.7 Financial Risk -- 3.8 Operational Risk -- 3.9 Psychological Barriers -- 3.10 Tradition Barrier -- 3.11 Image Barrier -- 4 Mobile Payment Technology Acceptance -- 4.1 Prominent Technology-Related Models -- 4.2 User Perception and Experience with Mobile Payments -- 4.3 The Technology Acceptance Model -- 4.4 The Innovation Diffusion Theory -- 4.5 The Decision Process of Innovation Adoption -- 4.6 Resistance to Innovation Model -- 5 Mobile Payment Determinants -- 6 Discussion -- 7 Conclusion -- References -- Green Practices in Marketing -- 1 Introduction -- 2 Literature Development -- 2.1 Basic Things About Green Marketing -- 2.2 Characteristics and Green Marketing Mix -- 2.3 The Role of Green Communication -- 2.4 The Green Push-Pull Communication Strategies -- 2.5 The Green Communication Strategies and Pull-Push Effects -- 2.6 Openness of Green Marketing -- 2.7 Industrial Framework -- 2.8 The Relationship Between Altruism and Customer's Intention to Purchase Green Product -- 2.9 Theory of Planned Behavior -- 2.10 Value-Attitude-Behavior Cognitive Hierarchy in Green Marketing -- 2.11 Open Issues and Challenges of Green Practices in Social Commerce -- 2.12 The Practical Challenge for Greening Marketing Mix -- 2.13 Promotion of Green Marketing -- 3 Conclusion -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Sustainability of Marketing -- Social Responsibility in Marketing -- 1 Introduction -- 2 Marketing Definition -- 3 Corporate Social Responsibility (CSR), Definition and Background -- 4 Types of Corporate Social Responsibility -- 5 Corporate Social Responsibility in Marketing -- 6 CSR Implements in Marketing -- 7 Conclusion -- References -- Sustainability and Social Responsibility in Marketing -- 1 Introduction. 2 Literature Review -- 3 Corporate Social Responsibility in Marketing -- 4 Corporation Efforts in Communicating Their Corporate Social Responsibility Initiatives -- 5 Social Responsibility and Profitability -- 6 Conclusions and Recommendations -- References -- Artificial Neural Network and Structural Equation Modeling Techniques: Future Research Directions -- Artificial Neural Network and Structural Equation Modeling in the Future -- 1 Introduction -- 2 Exploring the Relations Between ANN and SEM -- 3 The Benefits of Structural Equation Modeling and Artificial Neural Network Approach -- 4 Artificial Neural Network and Structural Equation Modeling: Systematic Literature Review -- 5 Recommendations of the Previous Studies for SEM and ANN Analysis -- 6 Suggestions for Future Research -- 7 Conclusion -- References. |
| Record Nr. | UNISA-996499865903316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Future of tourism in Asia / / Anukrati Sharma and Azizul Hassan, editors
| Future of tourism in Asia / / Anukrati Sharma and Azizul Hassan, editors |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (313 pages) |
| Disciplina | 338.4791 |
| Soggetto topico | Tourism |
| ISBN | 981-16-1669-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910520081803321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Handbook of technology application in tourism in Asia / / edited by Azizul Hassan
| Handbook of technology application in tourism in Asia / / edited by Azizul Hassan |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (1367 pages) : illustrations (some color) |
| Disciplina | 354.81150006 |
| Soggetto topico | Industries |
| ISBN |
9789811622106
9789811622090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Introduction Part One: Technology Application in the Asian Tourism Industry: Concepts and Applications Part Two: Technology Application in the Asian Tourism Industry: Marketing Contexts Part Three: Technology Application in the Asian Tourism Industry: The Purposes of Social Media Part Four: Technology Application in the Asian Tourism Industry: Customer Perceptions Part Five: Technology Application in the Asian Tourism Industry: Customer Relations Part Six: Technology Application in the Asian Tourism Industry: Decision Making Part Seven: Technology Application in the Asian Tourism Industry: Tourist Experience Part Eight: Technology Application in the Asian Tourism Industry: Tourist Loyalty Part Nine: Technology Application in the Asian Tourism Industry: Destination Promotion Part Ten: Technology Application in the Asian Tourism Industry: Smart City Involvement Part Eleven: Technology Application in the Asian Tourism Industry: The Aviation Industry Part Twelve: Technology Application in the Asian Tourism Industry: Cross Country Cases Part Thirteen: Technology Application in the Asian Tourism Industry: Economic Development Perspective Part Fourteen: Technology Application in the Asian Tourism Industry: Sustainability Concern Part Fifteen: Technology Application in the Asian Tourism Industry: Issues and Challenges Part Sixteen: Technology Application in the Asian Tourism Industry: Elements for Change
Loyalty Levels. |
| Record Nr. | UNINA-9910583503303321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrated business models in the digital age : principles and practices of technology empowered strategies / / edited by Sumesh Singh Dadwal, Hamid Jahankhani, and Azizul Hassan
| Integrated business models in the digital age : principles and practices of technology empowered strategies / / edited by Sumesh Singh Dadwal, Hamid Jahankhani, and Azizul Hassan |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (574 pages) |
| Disciplina | 658.4012 |
| Soggetto topico | Business planning |
| ISBN | 3-030-97877-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580160503321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent systems : 11th Brazilian conference, BRACIS 2022, Campinas, Brazil, November 28-December 1, 2022, proceedings. Part I / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors
| Intelligent systems : 11th Brazilian conference, BRACIS 2022, Campinas, Brazil, November 28-December 1, 2022, proceedings. Part I / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (682 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence. |
| ISBN | 3-031-21686-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning Methods -- 1 Introduction -- 2 Related Works Exploring Machine Learning to Predict Mortality Risk in ICUs -- 3 Prediction of Mortality Risk in ICUs: Approach Design -- 3.1 Discussion of the Research Problem -- 3.2 Database and Study Population -- 3.3 Exploratory Data Analysis and Variable Selection -- 3.4 Data Preprocessing -- 3.5 Feature Construction and Data Normalization -- 4 Prediction of Mortality Risk in ICUs: Approach Evaluation -- 4.1 Tuning of the Best Performing Machine Learning Method -- 4.2 Performance Analysis of the Best Performance Method -- 5 Conclusions -- References -- Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence -- 1 Introduction -- 2 Background -- 2.1 Software Requirements -- 2.2 Ethical Requirements for AI -- 2.3 Related Works -- 3 Research Methodology -- 4 Survey Results and Discussion -- 4.1 Threats to Validity -- 5 Conclusions -- References -- An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments -- 1 Introduction -- 2 Background -- 2.1 Flexible Confidence of a Classifier Semi-supervised Technique -- 2.2 Classifier Ensemble -- 2.3 Data Stream Classification -- 3 Related Work -- 4 The Proposed Approach -- 5 Experimental Methodology -- 6 Experimental Results -- 6.1 Batch Size Analysis -- 6.2 The Proposed Methods versus DyDaSL - FT -- 6.3 DyDaSL versus State-of-Art -- 7 Final Remarks -- References -- The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic -- 1 Introduction -- 2 Reinforcement Learning -- 3 Selection Hyper-heuristic -- 4 Proposed Approach -- 4.1 State Module -- 4.2 Reward Module -- 4.3 Agent Module.
5 Experimental Setup -- 6 Results and Discussion -- 6.1 Bin Packing -- 6.2 Flow Shop -- 6.3 MAX-SAT -- 6.4 Personnel Scheduling -- 6.5 Traveling Salesman Problem -- 6.6 Vehicle Routing Problem -- 6.7 Overall Comparison -- 7 Conclusion -- References -- A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task -- 1 Introduction -- 2 Related Work -- 2.1 Visualisation in Robotics -- 2.2 Visualisation of Temporal Networks -- 2.3 PheroCom Model -- 3 Visualisation Proposal -- 4 Case Study -- 4.1 Surveillance Network -- 4.2 Experiments -- 5 Limitations -- 6 Conclusion and Future Work -- References -- Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback -- 1 Introduction -- 2 Literature Review -- 2.1 Legal Information Retrieval -- 2.2 Relevance Feedback and Its Use for Similar Queries -- 3 Ulysses-RFSQ: Improving LIR With Relevance Feedback -- 3.1 Step 1: Ranking The Documents -- 3.2 Step 2: Selecting Similar Queries -- 3.3 Step 3: Updating The Ranking -- 3.4 Step 4: Acquiring The Relevance Feedback Information -- 4 Experimental Setup -- 4.1 Corpora -- 4.2 Pre-processing -- 4.3 BM25 Algorithms -- 4.4 Cut-off Parameter -- 4.5 IR Evaluation Measure -- 5 Results and Discussion -- 5.1 BM25 Algorithms Comparison -- 6 Conclusion -- References -- Adaptive Fast XGBoost for Regression -- 1 Introduction -- 2 Related Works -- 3 Proposal: Adaptive Fast XGBoost Regressor -- 3.1 Implementation -- 4 Results Assessment -- 4.1 Testing Methodology -- 4.2 Analysis of the Results -- 5 Conclusion and Future Work -- References -- The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data -- 1 Introduction -- 2 Related Work -- 3 Folding the Light Curve -- 4 Materials and Methods -- 5 Results -- 6 Discussion -- 7 Conclusions. References -- Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Learning Process -- 3.3 Evaluation -- 3.4 Interpretation -- 4 Results and Discussion -- 4.1 Cross-Validation Results -- 4.2 Interpretation -- 5 Conclusion -- References -- Feature Extraction for a Genetic Programming-Based Brain-Computer Interface -- 1 Introduction -- 2 Brain-Computer Interface and Post-stroke Motor Rehabilitation -- 3 Datasets -- 3.1 BCI Competition IV 2a -- 3.2 BCI Competition IV 2b -- 3.3 Our Dataset -- 4 Proposed Method -- 4.1 Initial Feature Extraction -- 4.2 Genetic Programming -- 5 Computational Experiments -- 5.1 Analysis of the Number of Electrodes -- 5.2 Analysis of Within and Cross-Session Training -- 5.3 Analysis Using Data Obtained with Low-Cost Equipment -- 6 Concluding Remarks and Future Work -- References -- Selecting Optimal Trace Clustering Pipelines with Meta-learning -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 MtL-Based Solution for Trace Clustering -- 5 Experimental Setup -- 5.1 Event Logs and Featurization -- 5.2 Trace Encoding Techniques -- 5.3 Trace Clustering Algorithms -- 5.4 Ranking Metrics -- 5.5 Meta-model -- 6 Results and Discussion -- 6.1 Meta-learning Exploratory Analysis -- 6.2 Meta-model Performance -- 7 Conclusion -- 8 Limitations and Broader Impact Statement -- References -- Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Labeling Function -- 3.2 TD-BERT -- 4 Evaluation -- 4.1 Datasets -- 4.2 Pre-processing -- 4.3 Classification Models and Experimental Setup -- 4.4 Results and Discussion -- 5 Conclusion -- References. Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery -- 1 Introduction -- 2 Literature Review -- 3 Problem Definition and Algorithms -- 3.1 VNS -- 3.2 EM -- 3.3 ILS -- 3.4 Constructive Procedure -- 4 Experiments -- 4.1 Datasets -- 4.2 Results and Discussion -- 4.3 Statistical Analysis -- 5 Conclusion -- References -- Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem -- 1 Introduction -- 2 Background -- 2.1 Genetic Algorithm -- 2.2 Fuzzy Logic -- 3 Methodology -- 3.1 Test Environment -- 3.2 Problem Description -- 3.3 Genetic Algorithm -- 3.4 Application of Fuzzy Logic -- 3.5 Evaluation Metrics -- 4 Results and Discussions -- 5 Conclusion -- References -- Application of the Sugeno Integral in Fuzzy Rule-Based Classification -- 1 Introduction -- 2 Preliminary Concepts and the Sugeno-like Generalization -- 3 Application of the Sugeno Integral to Classification in FRBCS -- 3.1 The New Fuzzy Reasoning Method -- 3.2 Experimental Framework -- 4 Experimental Results -- 4.1 Statistical Analysis -- 5 Conclusion -- References -- Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment -- 1 Introduction -- 2 Reinforcement Learning -- 3 Related Work -- 3.1 DQN -- 3.2 Prioritized Experience Replay -- 3.3 Rainbow -- 3.4 Distributional Reinforcement Learning and FQF -- 3.5 Munchausen R.L. -- 3.6 MinAtar -- 4 Methodology -- 5 Experiments and Analysis of Results -- 5.1 Hyperparameter Tuning -- 5.2 Main Results -- 6 Conclusions and Future Works -- References -- Glomerulosclerosis Identification Using a Modified Dense Convolutional Network -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Proposed Methodology -- 3.2 Image Dataset -- 3.3 Pre-processing and Data Augmentation -- 3.4 Evaluated Convolutional Neural Networks. 3.5 Transfer Learning and Fine-Tunning -- 3.6 Evaluation Metrics -- 4 Results and Discussion -- 5 Conclusion and Future Works -- References -- Diffusion-Based Approach to Style Modeling in Expressive TTS -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Denoising Diffusion Probabilistic Models -- 3.2 Shallow Diffusion Mechanism -- 4 Model -- 4.1 Model Architecture -- 4.2 Training and Inference -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Naturalness -- 5.3 Style Transfer -- 6 Discussion -- 7 Conclusion -- References -- Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods -- 1 Introduction -- 2 Background -- 2.1 Cellular Automata -- 2.2 Fuzzy Time Series -- 3 Related Work -- 4 Proposed Method -- 4.1 Training Procedure -- 4.2 Forecast Procedure -- 5 Computational Experiments -- 5.1 Dataset Description -- 5.2 CA-FTS Modeling -- 5.3 Discussion -- 6 Conclusions and Future Work -- References -- Explanation-by-Example Based on Item Response Theory -- 1 Introduction -- 2 Background -- 2.1 Explainable Artificial Intelligence - XAI -- 2.2 Item Response Theory - IRT -- 3 Methodology -- 3.1 ML and IRT -- 3.2 Evaluated Datasets -- 4 Results and Discussion -- 4.1 Datasets Through the Lens of IRT -- 4.2 Random Forest Through the Lens of IRT -- 5 Final Considerations -- References -- Short-and-Long-Term Impact of Initialization Functions in NeuroEvolution -- 1 Introduction -- 2 Related Work -- 3 Theoretical Foundation -- 3.1 CoDeepNEAT -- 3.2 Short, Medium and Long Term Analyses -- 3.3 Initialization and Activation Functions -- 4 Experiments and Discussion -- 5 Conclusion -- References -- Analysis of the Influence of the MVDR Filter Parameters on the Performance of SSVEP-Based BCI -- 1 Introduction -- 2 Methodology -- 2.1 Database Description -- 2.2 CAR -- 2.3 MVDR Filter -- 2.4 Feature Extraction -- 2.5 Linear Classifier. 3 Results and Discussion. |
| Record Nr. | UNINA-9910631089103321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligent systems : 11th Brazilian conference, BRACIS 2022, Campinas, Brazil, November 28-December 1, 2022, proceedings. Part I / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors
| Intelligent systems : 11th Brazilian conference, BRACIS 2022, Campinas, Brazil, November 28-December 1, 2022, proceedings. Part I / / Alhamzah Alnoor, Khaw Khai Wah, Azizul Hassan, editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (682 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence. |
| ISBN | 3-031-21686-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Mortality Risk Evaluation: A Proposal for Intensive Care Units Patients Exploring Machine Learning Methods -- 1 Introduction -- 2 Related Works Exploring Machine Learning to Predict Mortality Risk in ICUs -- 3 Prediction of Mortality Risk in ICUs: Approach Design -- 3.1 Discussion of the Research Problem -- 3.2 Database and Study Population -- 3.3 Exploratory Data Analysis and Variable Selection -- 3.4 Data Preprocessing -- 3.5 Feature Construction and Data Normalization -- 4 Prediction of Mortality Risk in ICUs: Approach Evaluation -- 4.1 Tuning of the Best Performing Machine Learning Method -- 4.2 Performance Analysis of the Best Performance Method -- 5 Conclusions -- References -- Requirements Elicitation Techniques and Tools in the Context of Artificial Intelligence -- 1 Introduction -- 2 Background -- 2.1 Software Requirements -- 2.2 Ethical Requirements for AI -- 2.3 Related Works -- 3 Research Methodology -- 4 Survey Results and Discussion -- 4.1 Threats to Validity -- 5 Conclusions -- References -- An Efficient Drift Detection Module for Semi-supervised Data Classification in Non-stationary Environments -- 1 Introduction -- 2 Background -- 2.1 Flexible Confidence of a Classifier Semi-supervised Technique -- 2.2 Classifier Ensemble -- 2.3 Data Stream Classification -- 3 Related Work -- 4 The Proposed Approach -- 5 Experimental Methodology -- 6 Experimental Results -- 6.1 Batch Size Analysis -- 6.2 The Proposed Methods versus DyDaSL - FT -- 6.3 DyDaSL versus State-of-Art -- 7 Final Remarks -- References -- The Impact of State Representation on Approximate Q-Learning for a Selection Hyper-heuristic -- 1 Introduction -- 2 Reinforcement Learning -- 3 Selection Hyper-heuristic -- 4 Proposed Approach -- 4.1 State Module -- 4.2 Reward Module -- 4.3 Agent Module.
5 Experimental Setup -- 6 Results and Discussion -- 6.1 Bin Packing -- 6.2 Flow Shop -- 6.3 MAX-SAT -- 6.4 Personnel Scheduling -- 6.5 Traveling Salesman Problem -- 6.6 Vehicle Routing Problem -- 6.7 Overall Comparison -- 7 Conclusion -- References -- A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task -- 1 Introduction -- 2 Related Work -- 2.1 Visualisation in Robotics -- 2.2 Visualisation of Temporal Networks -- 2.3 PheroCom Model -- 3 Visualisation Proposal -- 4 Case Study -- 4.1 Surveillance Network -- 4.2 Experiments -- 5 Limitations -- 6 Conclusion and Future Work -- References -- Ulysses-RFSQ: A Novel Method to Improve Legal Information Retrieval Based on Relevance Feedback -- 1 Introduction -- 2 Literature Review -- 2.1 Legal Information Retrieval -- 2.2 Relevance Feedback and Its Use for Similar Queries -- 3 Ulysses-RFSQ: Improving LIR With Relevance Feedback -- 3.1 Step 1: Ranking The Documents -- 3.2 Step 2: Selecting Similar Queries -- 3.3 Step 3: Updating The Ranking -- 3.4 Step 4: Acquiring The Relevance Feedback Information -- 4 Experimental Setup -- 4.1 Corpora -- 4.2 Pre-processing -- 4.3 BM25 Algorithms -- 4.4 Cut-off Parameter -- 4.5 IR Evaluation Measure -- 5 Results and Discussion -- 5.1 BM25 Algorithms Comparison -- 6 Conclusion -- References -- Adaptive Fast XGBoost for Regression -- 1 Introduction -- 2 Related Works -- 3 Proposal: Adaptive Fast XGBoost Regressor -- 3.1 Implementation -- 4 Results Assessment -- 4.1 Testing Methodology -- 4.2 Analysis of the Results -- 5 Conclusion and Future Work -- References -- The Effects of Under and Over Sampling in Exoplanet Transit Identification with Low Signal-to-Noise Ratio Data -- 1 Introduction -- 2 Related Work -- 3 Folding the Light Curve -- 4 Materials and Methods -- 5 Results -- 6 Discussion -- 7 Conclusions. References -- Estimating Bone Mineral Density Based on Age, Sex, and Anthropometric Measurements -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Learning Process -- 3.3 Evaluation -- 3.4 Interpretation -- 4 Results and Discussion -- 4.1 Cross-Validation Results -- 4.2 Interpretation -- 5 Conclusion -- References -- Feature Extraction for a Genetic Programming-Based Brain-Computer Interface -- 1 Introduction -- 2 Brain-Computer Interface and Post-stroke Motor Rehabilitation -- 3 Datasets -- 3.1 BCI Competition IV 2a -- 3.2 BCI Competition IV 2b -- 3.3 Our Dataset -- 4 Proposed Method -- 4.1 Initial Feature Extraction -- 4.2 Genetic Programming -- 5 Computational Experiments -- 5.1 Analysis of the Number of Electrodes -- 5.2 Analysis of Within and Cross-Session Training -- 5.3 Analysis Using Data Obtained with Low-Cost Equipment -- 6 Concluding Remarks and Future Work -- References -- Selecting Optimal Trace Clustering Pipelines with Meta-learning -- 1 Introduction -- 2 Related Work -- 3 Problem Statement -- 4 MtL-Based Solution for Trace Clustering -- 5 Experimental Setup -- 5.1 Event Logs and Featurization -- 5.2 Trace Encoding Techniques -- 5.3 Trace Clustering Algorithms -- 5.4 Ranking Metrics -- 5.5 Meta-model -- 6 Results and Discussion -- 6.1 Meta-learning Exploratory Analysis -- 6.2 Meta-model Performance -- 7 Conclusion -- 8 Limitations and Broader Impact Statement -- References -- Sequential Short-Text Classification from Multiple Textual Representations with Weak Supervision -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Labeling Function -- 3.2 TD-BERT -- 4 Evaluation -- 4.1 Datasets -- 4.2 Pre-processing -- 4.3 Classification Models and Experimental Setup -- 4.4 Results and Discussion -- 5 Conclusion -- References. Towards a Better Understanding of Heuristic Approaches Applied to the Biological Motif Discovery -- 1 Introduction -- 2 Literature Review -- 3 Problem Definition and Algorithms -- 3.1 VNS -- 3.2 EM -- 3.3 ILS -- 3.4 Constructive Procedure -- 4 Experiments -- 4.1 Datasets -- 4.2 Results and Discussion -- 4.3 Statistical Analysis -- 5 Conclusion -- References -- Mutation Rate Analysis Using a Self-Adaptive Genetic Algorithm on the OneMax Problem -- 1 Introduction -- 2 Background -- 2.1 Genetic Algorithm -- 2.2 Fuzzy Logic -- 3 Methodology -- 3.1 Test Environment -- 3.2 Problem Description -- 3.3 Genetic Algorithm -- 3.4 Application of Fuzzy Logic -- 3.5 Evaluation Metrics -- 4 Results and Discussions -- 5 Conclusion -- References -- Application of the Sugeno Integral in Fuzzy Rule-Based Classification -- 1 Introduction -- 2 Preliminary Concepts and the Sugeno-like Generalization -- 3 Application of the Sugeno Integral to Classification in FRBCS -- 3.1 The New Fuzzy Reasoning Method -- 3.2 Experimental Framework -- 4 Experimental Results -- 4.1 Statistical Analysis -- 5 Conclusion -- References -- Improving the FQF Distributional Reinforcement Learning Algorithm in MinAtar Environment -- 1 Introduction -- 2 Reinforcement Learning -- 3 Related Work -- 3.1 DQN -- 3.2 Prioritized Experience Replay -- 3.3 Rainbow -- 3.4 Distributional Reinforcement Learning and FQF -- 3.5 Munchausen R.L. -- 3.6 MinAtar -- 4 Methodology -- 5 Experiments and Analysis of Results -- 5.1 Hyperparameter Tuning -- 5.2 Main Results -- 6 Conclusions and Future Works -- References -- Glomerulosclerosis Identification Using a Modified Dense Convolutional Network -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Proposed Methodology -- 3.2 Image Dataset -- 3.3 Pre-processing and Data Augmentation -- 3.4 Evaluated Convolutional Neural Networks. 3.5 Transfer Learning and Fine-Tunning -- 3.6 Evaluation Metrics -- 4 Results and Discussion -- 5 Conclusion and Future Works -- References -- Diffusion-Based Approach to Style Modeling in Expressive TTS -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Denoising Diffusion Probabilistic Models -- 3.2 Shallow Diffusion Mechanism -- 4 Model -- 4.1 Model Architecture -- 4.2 Training and Inference -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Naturalness -- 5.3 Style Transfer -- 6 Discussion -- 7 Conclusion -- References -- Automatic Rule Generation for Cellular Automata Using Fuzzy Times Series Methods -- 1 Introduction -- 2 Background -- 2.1 Cellular Automata -- 2.2 Fuzzy Time Series -- 3 Related Work -- 4 Proposed Method -- 4.1 Training Procedure -- 4.2 Forecast Procedure -- 5 Computational Experiments -- 5.1 Dataset Description -- 5.2 CA-FTS Modeling -- 5.3 Discussion -- 6 Conclusions and Future Work -- References -- Explanation-by-Example Based on Item Response Theory -- 1 Introduction -- 2 Background -- 2.1 Explainable Artificial Intelligence - XAI -- 2.2 Item Response Theory - IRT -- 3 Methodology -- 3.1 ML and IRT -- 3.2 Evaluated Datasets -- 4 Results and Discussion -- 4.1 Datasets Through the Lens of IRT -- 4.2 Random Forest Through the Lens of IRT -- 5 Final Considerations -- References -- Short-and-Long-Term Impact of Initialization Functions in NeuroEvolution -- 1 Introduction -- 2 Related Work -- 3 Theoretical Foundation -- 3.1 CoDeepNEAT -- 3.2 Short, Medium and Long Term Analyses -- 3.3 Initialization and Activation Functions -- 4 Experiments and Discussion -- 5 Conclusion -- References -- Analysis of the Influence of the MVDR Filter Parameters on the Performance of SSVEP-Based BCI -- 1 Introduction -- 2 Methodology -- 2.1 Database Description -- 2.2 CAR -- 2.3 MVDR Filter -- 2.4 Feature Extraction -- 2.5 Linear Classifier. 3 Results and Discussion. |
| Record Nr. | UNISA-996500063203316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Overtourism, technology solutions and decimated destinations / / edited by Azizul Hassan and Anukrati Sharma
| Overtourism, technology solutions and decimated destinations / / edited by Azizul Hassan and Anukrati Sharma |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (348 pages) |
| Disciplina | 338.4791 |
| Soggetto topico |
Management
Technological innovations Overtourism |
| ISBN | 981-16-2474-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910520084703321 |
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sustainable destination branding and marketing : strategies for tourism development / / edited by Anukrati Sharma, Juan Ignacio Pulido-Fernández, Azizul Hassan
| Sustainable destination branding and marketing : strategies for tourism development / / edited by Anukrati Sharma, Juan Ignacio Pulido-Fernández, Azizul Hassan |
| Pubbl/distr/stampa | Wallingford, Oxfordshire, England ; ; Boston, Massachusetts : , : CABI, , [2020] |
| Descrizione fisica | 1 online resource (333 pages) |
| Disciplina | 910.688 |
| Soggetto topico | Sustainable tourism - Marketing |
| ISBN |
1-78639-429-4
1-78639-430-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910760492903321 |
| Wallingford, Oxfordshire, England ; ; Boston, Massachusetts : , : CABI, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Technology application in aviation, tourism and hospitality : recent developments and emerging issues / / edited by Azizul Hassan and Nor Aida Abdul Rahman
| Technology application in aviation, tourism and hospitality : recent developments and emerging issues / / edited by Azizul Hassan and Nor Aida Abdul Rahman |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (191 pages) |
| Disciplina | 814.54 |
| Soggetto topico | Air travel |
| ISBN | 981-19-6619-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Introduction -- Contents -- Editors and Contributors -- Part I Strategies -- 1 Technology Strategy and the Safety of Travelers -- Introduction -- Safety and Travel -- Technology and Safety -- Technology as a Key Strategy to Survive in Travel Industry -- Conclusion -- References -- 2 The Digitainability Strategic-Technology Connection: A Mechanism for Ecotourism Sustainment in the Midst of the Pandemic -- Introduction -- Ecotourism in Malaysia -- Conceptual Development -- Murphy's Ecological Model -- Community Attachment Theory -- The Social Exchange Theory -- Integrated Empirical Model -- Conclusion and Recommendations -- References -- 3 Strategy and Technology Framework in the Pandemic Era Among Aviation Players -- Introduction -- Air Travel Restrictions -- Policy Interventions for Air Travel Sustainability -- Key Recovery Phases -- Restore-Get the Aircraft Flying -- Reshape-It's Time for a New Normal -- React-Preparation for Future Pandemics -- Artificial Intelligence in Airlines Operation -- Technology Priorities for Airports During Pandemic -- "Touchless" Air Travel Technology -- The Emergence of Mobile Apps -- Conclusion and Recommendations -- References -- 4 Technology Strategy in Boosting Halal Tourism Activities -- Introduction -- Halal Tourism -- Muslim Travel Market -- Halal Tourism Faith-Based Needs -- Halal Tourism and Sustainability Approach -- Definition of Sustainable Tourism -- Halal Tourism Towards Sustainable Development -- Technology Needs for Halal Tourism -- Development of Industrial Revolution 4.0 in Halal Tourism -- Technology Adoption Challenges in Halal Tourism -- Conclusion and Future Research Directions -- References -- Part II Recent Developments -- 5 Mobile Technology Application in Aviation: Chatbot for Airline Customer Experience -- Introduction -- Chatbot Application for Supporting Customer Interactions.
Minimising Costs -- Enhancement of Business Operations -- Improvement of Customer Satisfaction -- Generative Pre-Trained Transformer 3 (GPT-3) Algorithm -- What is GPT-3? -- Prototype Development -- Recommendations and Conclusion -- References -- 6 Technology in Hotel Sector -- Introduction -- The Transformation of Technology in Hotel Sector -- The Recognition Technology -- The Artificial Intelligence (AI) Self-Service Technology (SST) -- The Internet of Things (IoT) -- The Integrated Hotel Mobile Application Technology -- The Underlying Factors for Technology Application in Hotel Sector -- The Application of Technology to Improve Communication -- The Application of Technology for Mobile Payment in Hotel Sector -- The Application of Technology in Food and Beverage Operations -- The Application of Technology for Marketing and Promotional -- The Application of Artificial Intelligence (AI) and Robots in Service Delivery -- The Impact of Technology in the Hotel Sector -- Conclusion -- References -- 7 Digital Advancements in Airline Catering Sector -- Introduction -- Role of Digital Transformation in Airline Catering -- Using Data Analysis to Plan Material Requirements More Efficiently -- Real-Time Transmission of Recipe Modifications to Production -- Customer Input is Used to Develop New Products Using Big Data -- Digital Transformation of Airline Catering: Case Study and Example -- AeroChef Web-Based Tool -- Monorail Robot for Movement of Meals Production -- DELMIA Quintiq's Supply Chain Planning and Optimization Software (SCP& -- O) -- Conclusion, Limitation and Future Research Recommendations -- References -- 8 Technology Framework for Rural Tourism Development in Spain -- Introduction -- Situation of Rural Tourism in Spain -- Innovation and Technology for Rural Tourism Development -- Mobile Technology -- Augmented Reality and Virtual Reality. Internet of Things -- Voice Assistance -- Big Data -- Blockchain -- 5G Technology -- Conclusion and Recommendations -- References -- 9 Iskandar.my: Framework of Mobile Augmented Reality Travel App -- Introduction -- Literature Review -- Technology and Tourism -- Mobile Augmented Reality (MAR) -- MAR and Experience Enhancement -- MAR Technological Requirement -- Methodology -- Findings and Analysis -- Service Dimension of 'Iskandar.my' MAR App -- Design Dimension of 'Iskandar.my' MAR App -- Conclusion -- References -- Part III Emerging Issues -- 10 Defender or Attacker? An Approach to Dynamic Sustainability in the Dynamic Business Climate of Rural Tourism -- Introduction -- Conceptual Development -- Product Factor -- Price Factor -- Time Saving Factor -- Methodology -- Findings -- Conclusion and Recommendation -- References -- 11 Technology Application in Airports Reopening and Operations Recovery Due to COVID-19 Pandemic -- Introduction -- Travel Restrictions During the COVID-19 Pandemic -- New Normal: Air Travel Reopening -- Considerations for Air Travel Reopening -- Literature Review on Technology Adoption to Assist Airport Reopening and Operations Recovery -- Artificial Intelligence (AI) -- Biometrics -- Internet of Things (IoT) -- The Benefits of Adopting Technology for Airports Reopening -- Cost-Effectiveness -- Better Crowd Control Management -- Improve Efficiency in Various Aspects -- Enhance Passengers' Experience -- Reduce Contact Between Passengers and Staff -- Safety and Security -- Time Savings -- Support Airport Personnel -- Conclusion -- References -- Part IV Directions for Future Research -- 12 Artificial Intelligence Technology in Travel, Tourism and Hospitality: Current and Future Developments -- Introduction -- Defining Artificial Intelligence -- Artificial Intelligence in Travel, Tourism and Hospitality -- Future Developments. Transportation of Tourism and Hospitality -- Tourism, Attraction and Location -- Tour Operator Management System -- AI as Tour Attraction -- Conclusion -- References -- 13 Contactless Hospitality Technology in Post-COVID-19 Era: Future Research Clusters -- Introduction -- Technology Revolution and Advancement in Hospitality Sector -- Past Research on Technology in Hospitality Sector -- Multi Types of Contactless Technology in Hospitality Sector: Future Research Clusters -- Conclusion -- References. |
| Record Nr. | UNINA-9910627237903321 |
| Singapore : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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