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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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui