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AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / / A. K. Pradeep, Andrew Appel, Stan Sthanunathan
| AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / / A. K. Pradeep, Andrew Appel, Stan Sthanunathan |
| Autore | Pradeep A. K. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2019] |
| Descrizione fisica | 1 online resource (267 pages) |
| Disciplina | 658.80028563 |
| Soggetto topico |
Marketing - Technological innovations
Artificial intelligence Machine learning |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-119-48408-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910467653103321 |
Pradeep A. K.
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| Hoboken, New Jersey : , : Wiley, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / / A. K. Pradeep, Andrew Appel, Stan Sthanunathan
| AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / / A. K. Pradeep, Andrew Appel, Stan Sthanunathan |
| Autore | Pradeep A. K. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2019] |
| Descrizione fisica | 1 online resource (267 pages) |
| Disciplina | 658.80028563 |
| Soggetto topico |
Marketing - Technological innovations
Artificial intelligence Machine learning |
| ISBN |
1-119-48409-X
1-119-48408-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910793346003321 |
|
Pradeep A. K.
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||
| Hoboken, New Jersey : , : Wiley, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / / A. K. Pradeep, Andrew Appel, Stan Sthanunathan
| AI for marketing and product innovation : powerful new tools for predicting trends, connecting with customers, and closing sales / / A. K. Pradeep, Andrew Appel, Stan Sthanunathan |
| Autore | Pradeep A. K. |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2019] |
| Descrizione fisica | 1 online resource (267 pages) |
| Disciplina | 658.80028563 |
| Soggetto topico |
Marketing - Technological innovations
Artificial intelligence Machine learning |
| ISBN |
1-119-48409-X
1-119-48408-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910820417503321 |
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Pradeep A. K.
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| Hoboken, New Jersey : , : Wiley, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots / / Peter Gentsch
| AI in marketing, sales and service : how marketers without a data science degree can use AI, big data and bots / / Peter Gentsch |
| Autore | Gentsch Peter |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | New York, New York : , : Springer Berlin Heidelberg, , [2019] |
| Descrizione fisica | 1 online resource (xix, 271 pages) : illustrations (some color), charts |
| Disciplina | 658.80028563 |
| Collana | Gale eBooks |
| Soggetto topico |
Artificial intelligence
Big data Business Internet marketing Market research |
| ISBN | 3-319-89957-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 AI eats the World -- 2 A Bluffer’s Guide to AI, Algorithmics and Big Data -- 3 AI Business: Framework and Maturity Model -- 4 Conversational AI: How (Chat) Bots will reshape the Digital Experience -- 5 AI Best and Next Practices -- 6 Conclusion and Outlook: Algorithmic Business – Quo Vadis?. |
| Record Nr. | UNINA-9910337801603321 |
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Gentsch Peter
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| New York, New York : , : Springer Berlin Heidelberg, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial intelligence along the customer journey : a customer experience perspective / / Ada Maria Barone, Emanuela Stagno
| Artificial intelligence along the customer journey : a customer experience perspective / / Ada Maria Barone, Emanuela Stagno |
| Autore | Barone Ada Maria |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Palgrave Macmillan, , [2023] |
| Descrizione fisica | 1 online resource (xiii,127 pages) : illustrations |
| Disciplina | 658.80028563 |
| Soggetto topico |
Customer services - Technological innovations
Artificial intelligence - Marketing applications |
| Soggetto non controllato |
BUSINESS & ECONOMICS / Consumer Behavior
BUSINESS & ECONOMICS / Customer Relations BUSINESS & ECONOMICS / Management Science BUSINESS & ECONOMICS / E-Commerce / Online Trading |
| ISBN | 9783031487927 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- 1. A brief guide to artificial intelligence -- 2. Key artificial intelligence technologies along the customer journey -- 2.1. AI-powered self-service technologies -- 2.2. Chatbots -- 2.3. Voice assistants -- 2.4. Service robots -- 2.5. Augmented reality -- 2.6. Virtual reality -- 3. A new framework for modelling artificial intelligence technologies along the customer journey -- 3.1. Study design and procedure -- 3.2. Study results -- 4. A customer experience perspective on artificial intelligence -- 5. Appendix -- 6. References -- Chapter 2. AI-powered self-service technologies -- 1. Conventional vs. AI-powered SSTs: key characteristics and differences -- 2. AI-based SSTs: the rise of checkout-free and just walk out technologies -- 3. AI-powered self-service technologies along the customer journey: current applications and potential for the future -- 4. Conclusion -- 5. References -- Chapter 3. Chatbots -- 1. What are chatbots and why they are important for customer experience -- 2. The drivers of consumers's cognitive, affective, and behavioural responses to chatbots -- 2.1 Consumers⁰́₉ expectations and perceptions of chatbots -- 2.2. How to design chatbots for successful customer experiences: the role of human-like features -- 2.3 Disclosure of chatbot identity -- 3. The impact of chatbots on the customer journey: what we know so far and directions for future research -- 4. Conclusion -- 5. References -- Chapter 4. Voice Assistants -- 1. Drivers of VAs⁰́₉ adoption -- 2. Privacy concerns as a deterrent of VA adoption -- 3. The impact of voice assistants on the customer journey -- 4. Directions for future research -- 5. Conclusion -- 6. References -- Chapter 5. Robots in Retail -- 1. Service robots and their main characteristics -- 2. When and why do consumers prefer robots over human employees? -- 3. Collaboration between robots and service employees -- 4. Service robots across the customer journey -- 5. Service robots in the face of service failure -- 6. Directions for future research -- 7. Conclusion -- 8. References -- Chapter 6. Augmented Reality -- 1. Augmented reality in advertising: the power of AR in the pre-purchase stage -- 2. Augmented reality in retailing: virtual try-on applications -- 3. Augmented reality in retailing: augmented environments and product presentations -- 4. Directions for the future for augmented reality across the customer journey: business opportunities and avenues for further research -- 5. Conclusion -- 6. References -- Chapter 7. Virtual Reality and the Customer Journey -- 1. The main dimensions of virtual reality -- 2. Virtual reality experiences in the customer journey -- 3. Directions for future research -- 4. Conclusion -- 5. References -- Chapter 8. Conclusions -- 1. References -- Index. |
| Record Nr. | UNINA-9910799483503321 |
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Barone Ada Maria
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| Cham : , : Palgrave Macmillan, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent processing practices and tools for e-commerce data, information, and knowledge / / Honghao Gao [and three others], editors
| Intelligent processing practices and tools for e-commerce data, information, and knowledge / / Honghao Gao [and three others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (124 pages) |
| Disciplina | 658.80028563 |
| Collana | EAI/Springer innovations in communication and computing |
| Soggetto topico |
Artificial intelligence - Marketing applications
Electronic commerce Computational intelligence |
| ISBN | 3-030-78303-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522999803321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists / / Niladri Syam, Rajeeve Kaul
| Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists / / Niladri Syam, Rajeeve Kaul |
| Autore | Syam Niladri |
| Pubbl/distr/stampa | Bingley, England : , : Emerald Publishing Limited, , [2021] |
| Descrizione fisica | 1 online resource (225 pages) : illustrations |
| Disciplina | 658.80028563 |
| Soggetto topico |
Marketing - Data processing
Selling - Data processing |
| ISBN | 1-80043-880-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910794403503321 |
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Syam Niladri
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| Bingley, England : , : Emerald Publishing Limited, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists / / Niladri Syam, Rajeeve Kaul
| Machine learning and artificial intelligence in marketing and sales : essential reference for practitioners and data scientists / / Niladri Syam, Rajeeve Kaul |
| Autore | Syam Niladri |
| Pubbl/distr/stampa | Bingley, England : , : Emerald Publishing Limited, , [2021] |
| Descrizione fisica | 1 online resource (225 pages) : illustrations |
| Disciplina | 658.80028563 |
| Soggetto topico |
Marketing - Data processing
Selling - Data processing |
| ISBN | 1-80043-880-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910822223803321 |
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Syam Niladri
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| Bingley, England : , : Emerald Publishing Limited, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Marketing and Smart Technologies : Proceedings of ICMarkTech 2023, Volume 1 / / edited by José Luís Reis, Jiří Zelený, Beáta Gavurová, José Paulo Marques dos Santos
| Marketing and Smart Technologies : Proceedings of ICMarkTech 2023, Volume 1 / / edited by José Luís Reis, Jiří Zelený, Beáta Gavurová, José Paulo Marques dos Santos |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (859 pages) |
| Disciplina | 658.80028563 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Internet of things
Computational intelligence Artificial intelligence Quantitative research Internet of Things Computational Intelligence Artificial Intelligence Data Analysis and Big Data |
| ISBN |
9789819715527
9789819715510 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- About the Editors -- Part I Artificial Intelligence Applied in Marketing -- 1 Social Media Presence Impacts AI Influencer's Endorsement: An Empirical Evidence -- 1.1 Introduction -- 1.2 Literature Review and Hypotheses Development -- 1.2.1 Social Media Presence -- 1.2.2 Fantasy -- 1.3 Pilot Study -- 1.3.1 Methodology -- 1.3.2 Analysis and Results -- 1.3.3 Discussion -- 1.4 Main Study -- 1.4.1 Methodology -- 1.4.2 Analysis and Results -- 1.4.3 Discussion -- 1.5 Limitations and Future Research Directions -- References -- 2 GSP Internet Users Based on Their Navigation Preferences: Second Round-Law Sentences -- 2.1 Introduction -- 2.2 Data Mining Applied to Educational Environments -- 2.3 Description of the Problem -- 2.3.1 GSP Algorithm -- 2.3.2 GSP_M Algorithm -- 2.4 Experimentation -- 2.5 Conclusion -- References -- 3 Artificial Intelligence in the Development of Eco-innovations -- 3.1 Introduction -- 3.2 Theoretical Background -- 3.2.1 AI in Product Innovation Development -- 3.2.2 AI in the Development of Eco-innovations -- 3.3 Research Design -- 3.3.1 Data and Scope -- 3.3.2 Bibliometric Analysis -- 3.4 Results -- 3.5 Discussion and Conclusion -- References -- 4 The Authenticity of ChatGPT's Responses in the Tourism and Hospitality Sector: An Explorative Study on Human Perception of Artificial Intelligence -- 4.1 Introduction -- 4.2 Literature Review -- 4.2.1 Usage of AI in the Hospitality Sector -- 4.2.2 Usage of ChatGPT in the Tourism and Hospitality Businesses -- 4.2.3 Usage of ChatGPT and Perspectives of Customers/Tourists -- 4.3 Research Methodology -- 4.3.1 Generated Textual Content by ChatGPT -- 4.3.2 Agents Employed in Semi-standardized Interviews and Explored Topics -- 4.4 Results -- 4.4.1 Ideal Types of Interviewed Agents -- 4.5 Discussion and Final Remarks -- References.
5 Artificial Neural Networks and Discrete Choice Models: Comparing and Contrasting -- 5.1 Introduction -- 5.2 Literature Review -- 5.2.1 Artificial Neural Networks -- 5.2.2 Discrete Choice Models -- 5.2.3 ANNs Versus DCM -- 5.3 Methodology -- 5.4 Results and Findings -- 5.5 Concluding Remarks -- References -- 6 Usage of Artificial Intelligence for Advertising Creation for Social Media Marketing: ChatGPT Combined with Pictory and DALL·E -- 6.1 Introduction -- 6.2 Literature Review -- 6.3 Methodology -- 6.4 Discussion -- 6.5 Results: Real-World Case Studies -- 6.5.1 Case Study 1: Successful Social Media Marketing Campaigns Utilizing AI-Generated Advertising -- 6.5.2 Case Study 2: Challenges Faced and Lessons Learned from Implementing AI in Ad Creation from Smartly.io and Dagmar (Finnish Companies) -- 6.6 The Near Future of the Use of AI for Advertising Creation for Social Media Marketing -- 6.7 Conclusion -- References -- 7 Retail Chatbots' Main Themes and Research over Time: A Bibliometric and Content Analysis -- 7.1 Introduction -- 7.2 Literature Review -- 7.2.1 Retail Chatbots' Advantages for Retailers and Consumers -- 7.2.2 Retail Chatbots' Disadvantages for Retailers and Consumers -- 7.2.3 Main Concerns with Chatbots -- 7.3 Research Questions and Methodology -- 7.3.1 Research Questions -- 7.3.2 Methodology -- 7.4 Results -- 7.4.1 Citation Analysis: Documents with the Greatest Significance and Influence -- 7.4.2 Evolution of Published Research About Retail Chatbots -- 7.4.3 Retail Chatbots' Researched Themes and Trends -- 7.5 Final Considerations -- References -- 8 Gastronomic Consumers' Attitudes Toward AI-Generated Food Images: Exploring Different Perceptions Based on Generational Segmentation -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Research Methodology -- 8.4 Results -- 8.5 Discussion and Final Remarks -- References. 9 Negative Impacts of Human-AI Interaction in Brands: A Data Mining Exploratory Approach -- 9.1 Introduction -- 9.2 Literature Review -- 9.2.1 Artificial Intelligence -- 9.2.2 Negativity in Consumer/Brand Relationship -- 9.3 Methodology -- 9.3.1 Objective and Research Question -- 9.3.2 Netnography Approach and Web Scrapping -- 9.4 Results and Discussion -- 9.5 Conclusions -- References -- 10 What Factors Determine the Consumer Acceptance of AI-Based Services? The Case of Lithuanian Consumers -- 10.1 Introduction -- 10.2 Theoretical Background and Hypothesis -- 10.2.1 Social-Emotional Factors and the Consumer Acceptance of AI-Based Services -- 10.2.2 Functional Factors and the Consumer Acceptance of AI-Based Services -- 10.2.3 Relational Factors and the Consumer Acceptance of AI-Based Services -- 10.2.4 Consumer Acceptance and Usage of AI-Based Services -- 10.3 Methodology -- 10.4 Results and Discussion -- 10.4.1 Results of Correlation Analysis -- 10.4.2 Results of Hypothesis Testing -- 10.5 Conclusions -- Appendix 1: Results of Linear Regression: Beta Coefficients -- References -- 11 "Ready for Your Insurance Quote?" the Impact of Chatbot Empathy on Emotions and User Experience -- 11.1 Introduction -- 11.2 Literature Review -- 11.2.1 Anthropomorphism and Empathy in Chatbots -- 11.2.2 The Positive Effects of Anthropomorphization and Empathy on Emotions and User Experience -- 11.2.3 The Negative Effects of Anthropomorphization and Empathy on Emotions and the User Experience -- 11.3 Research Methodology -- 11.3.1 Research Design -- 11.3.2 Participant Recruitment -- 11.3.3 Procedure and Data Collection for Retrospective Post-test Interviews -- 11.3.4 Data Analysis -- 11.4 Results -- 11.4.1 How Do Users Experience Interacting with an Empathetic Chatbot? -- 11.4.2 Synthesis of Results -- 11.5 Research Contributions -- 11.5.1 Theoretical Implications. 11.5.2 Managerial Implications -- 11.6 Limitations and Avenues for Future Research -- References -- 12 Wine Consumers' Attitudes Toward AI-Generated Images of Wine Regions: Exploring Relationship Between Preferences and Imaginative Conceptions -- 12.1 Introduction -- 12.2 Research Methodology and Conduction -- 12.3 Results -- 12.4 Discussion and Final Remarks -- References -- Part II Customer Data Management and CRM -- 13 Measuring Leadership Through CELID-S: A Contemporary Perspective -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Methodology -- 13.3.1 Data Collection Techniques -- 13.4 Data Analysis -- 13.4.1 Analysis of Results -- 13.4.2 Reliability or Trustworthiness Analysis -- 13.4.3 Relationship Between Leadership Styles -- 13.4.4 Work Satisfaction -- 13.4.5 Relationship Between Leadership and Satisfaction -- 13.5 Conclusions -- References -- Part III Data Mining and Big Data-Marketing Data Science -- 14 Analyzing the Framework Conditions for Digital Entrepreneurship. An Empirical Evaluation of Country Performance -- 14.1 Introduction -- 14.2 Literature Review -- 14.3 Research Methodology -- 14.4 Results and Discussions -- 14.5 Conclusions -- References -- 15 Profiling Online and Physical Supermarket Customers Using Factor and Clustering Methods -- 15.1 Introduction -- 15.2 Related Work -- 15.2.1 Profiling Supermarket Customers Through Transactions and Questionnaires -- 15.2.2 Profiling Supermarket Customers Based on Purchased Products Characteristics -- 15.3 Methods -- 15.3.1 Overview of Analysis Process -- 15.3.2 Data Collection and Preparation -- 15.3.3 Factor and Cluster Analysis -- 15.4 Analysis Results -- 15.4.1 MCA Results -- 15.4.2 HCPC Results -- 15.5 Discussion -- 15.6 Conclusion -- References -- 16 Data-Driven Insights: Analysing Variables in Black Soldier Fly Larvae's Transformation of Organic Waste -- 16.1 Introduction. 16.2 Materials and Methods -- 16.2.1 Organic Waste Sampling -- 16.2.2 Organic Waste Pretreatment -- 16.2.3 Organic Waste Characterisation -- 16.2.4 Experiment Design -- 16.2.5 Bromatological Characteristics of the Larvae -- 16.2.6 Manure Characterisation -- 16.3 Results -- 16.3.1 Waste Characterisation -- 16.3.2 Biotransformation -- 16.4 Discussion -- 16.5 Conclusions -- References -- 17 Big Data in Journalism in Ecuador -- 17.1 Introduction -- 17.2 Methodology -- 17.3 Results -- 17.4 Conclusions -- References -- Part IV Digital Marketing and Branding -- 18 Destination Brands Experienced Through Digital Platforms: A Semiotic Approach for the Interpretation of a Case Study -- 18.1 Introduction -- 18.2 Theoretical Background -- 18.2.1 Marketing and Branding of Places -- 18.2.2 Tourism Marketing and Destination Brands -- 18.2.3 New Technologies in Tourism Digital Platforms -- 18.3 Research Methodology -- 18.3.1 Analysis Framework: Semiotic Structures and Interactional Regimes -- 18.3.2 Analysis Protocol -- 18.4 Application in Case -- 18.4.1 Case Presentation -- 18.4.2 Case Study -- 18.5 Conclusion -- References -- 19 Resilience and Transformation: Examining Marketing Strategies and Consumer Behavior in a COVID-19 World Connected by Social Media -- 19.1 Introduction -- 19.2 Consumer Behavior During the COVID-19 Period -- 19.3 Marketing in the Time of COVID-19 -- 19.4 Online Social Networks in the Time of COVID-19 -- 19.5 Final Considerations -- References -- 20 Key Pillars in Storytelling to Generate Emotional Branding -- 20.1 Introduction -- 20.1.1 Key Pillars of Emotional Branding -- 20.2 Methodology -- 20.3 Results and Discussion -- 20.3.1 Emotions that Awaken in the Storytelling of the Amaras Spot for General Emotional -- 20.3.2 Key Pillars in Storytelling of the Amarás Spot to Generate Emotional Branding -- 20.4 Conclusions -- References. 21 Emotions in Advertising and Their Connection to Consumers. |
| Record Nr. | UNINA-9910865257403321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Marketing and Smart Technologies : Proceedings of ICMarkTech 2022, Volume 2 / / edited by José Luís Reis, Marc K. Peter, José Antonio Varela González, Zorica Bogdanović
| Marketing and Smart Technologies : Proceedings of ICMarkTech 2022, Volume 2 / / edited by José Luís Reis, Marc K. Peter, José Antonio Varela González, Zorica Bogdanović |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (799 pages) |
| Disciplina | 658.80028563 |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Internet of things
Computational intelligence Artificial intelligence Quantitative research Internet of Things Computational Intelligence Artificial Intelligence Data Analysis and Big Data |
| Soggetto non controllato |
Commerce
Business & Economics |
| ISBN | 981-19-9099-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The use of cryptocurrencies as a tool for the development of marketing in tourism -- Blockchain use possibilities: A systematic literature review -- Comparison of semi-structured data on MSSQL and Postgresql -- Coolhunting Canvas: a pedagogical toolkit to support trendspotting and sociocultural innovation in marketing -- Hotel Customer Segmentation Using the Integrated Entropy-CRITIC Method and the 2T-RFMB Model -- Intellectual Capital versus Competitive Advantages: Together which underlines some relevant literature?. |
| Record Nr. | UNINA-9910726292803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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