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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 | ||
| ||
Modern analysis of customer surveys [[electronic resource] ] : with applications using R / / edited by Ron S. Kenett, Silvia Salini
| Modern analysis of customer surveys [[electronic resource] ] : with applications using R / / edited by Ron S. Kenett, Silvia Salini |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Chichester, : John Wiley & Sons, 2011 |
| Descrizione fisica | 1 online resource (526 p.) |
| Disciplina | 658.8/3402855282 |
| Altri autori (Persone) |
KenettRon
SaliniSilvia |
| Collana | Statistics in Practice |
| Soggetto topico |
Consumer satisfaction - Research - Statistical methods
Consumer satisfaction - Evaluation Consumers - Research - Statistical methods Consumers - Research - Data processing Sampling (Statistics) - Evaluation Surveys - Statistical methods Surveys - Data processing R (Computer program language) Consumidors - Satisfacció - Estadístiques Consumidors - Estadístiques Mostreig (Estadística) Enquestes |
| ISBN |
1-119-96138-6
1-283-33312-0 9786613333124 1-119-96115-7 1-119-96116-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Modern Analysis ofCustomer Surveys; Contents; Foreword; Preface; Contributors; PART I BASIC ASPECTS OF CUSTOMER SATISFACTION SURVEY DATA ANALYSIS; 1 Standards and classical techniques in data analysis of customer satisfaction surveys; 1.1 Literature on customer satisfaction surveys; 1.2 Customer satisfaction surveys and the business cycle; 1.3 Standards used in the analysis of survey data; 1.4 Measures and models of customer satisfaction; 1.4.1 The conceptual construct; 1.4.2 The measurement process; 1.5 Organization of the book; 1.6 Summary; References
2 The ABC annual customer satisfaction survey2.1 The ABC company; 2.2 ABC 2010 ACSS: Demographics of respondents; 2.3 ABC 2010 ACSS: Overall satisfaction; 2.4 ABC 2010 ACSS: Analysis of topics; 2.5 ABC 2010 ACSS: Strengths and weaknesses and decision drivers; 2.6 Summary; References; Appendix; 3 Census and sample surveys; 3.1 Introduction; 3.2 Types of surveys; 3.2.1 Census and sample surveys; 3.2.2 Sampling design; 3.2.3 Managing a survey; 3.2.4 Frequency of surveys; 3.3 Non-sampling errors; 3.3.1 Measurement error; 3.3.2 Coverage error; 3.3.3 Unit non-response and non-self-selection errors 3.3.4 Item non-response and non-self-selection error3.4 Data collection methods; 3.5 Methods to correct non-sampling errors; 3.5.1 Methods to correct unit non-response errors; 3.5.2 Methods to correct item non-response; 3.6 Summary; References; 4 Measurement scales; 4.1 Scale construction; 4.1.1 Nominal scale; 4.1.2 Ordinal scale; 4.1.3 Interval scale; 4.1.4 Ratio scale; 4.2 Scale transformations; 4.2.1 Scale transformations referred to single items; 4.2.2 Scale transformations to obtain scores on a unique interval scale; Acknowledgements; References; 5 Integrated analysis; 5.1 Introduction 5.2 Information sources and related problems5.2.1 Types of data sources; 5.2.2 Advantages of using secondary source data; 5.2.3 Problems with secondary source data; 5.2.4 Internal sources of secondary information; 5.3 Root cause analysis; 5.3.1 General concepts; 5.3.2 Methods and tools in RCA; 5.3.3 Root cause analysis and customer satisfaction; 5.4 Summary; Acknowledgement; References; 6 Web surveys; 6.1 Introduction; 6.2 Main types of web surveys; 6.3 Economic benefits of web survey research; 6.3.1 Fixed and variable costs; 6.4 Non-economic benefits of web survey research 6.5 Main drawbacks of web survey research6.6 Web surveys for customer and employee satisfaction projects; 6.7 Summary; References; 7 The concept and assessment of customer satisfaction; 7.1 Introduction; 7.2 The quality-satisfaction-loyalty chain; 7.2.1 Rationale; 7.2.2 Definitions of customer satisfaction; 7.2.3 From general conceptions to a measurement model of customer satisfaction; 7.2.4 Going beyond SERVQUAL: Other dimensions of relevance to the B2B context; 7.2.5 From customer satisfaction to customer loyalty; 7.3 Customer satisfaction assessment: Some methodological considerations 7.3.1 Rationale |
| Record Nr. | UNINA-9910139552103321 |
| Chichester, : John Wiley & Sons, 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
