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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 |
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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 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 / / by Peter Gentsch
| AI in Marketing, Sales and Service : How Marketers without a Data Science Degree can use AI, Big Data and Bots / / by Peter Gentsch |
| Autore | Gentsch Peter |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2019 |
| Descrizione fisica | 1 online resource (xix, 271 pages) : illustrations (some color), charts |
| Disciplina | 658.80028563 |
| Collana | Gale eBooks |
| Soggetto topico |
Quantitative research
Marketing research Business intelligence Telemarketing Internet marketing Artificial intelligence Business Management science Data Analysis and Big Data Market Research and Competitive Intelligence Digital Marketing Artificial Intelligence Business and Management |
| ISBN |
9783319899572
3319899570 |
| 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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| Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence along the Customer Journey : A Customer Experience Perspective / / by Ada Maria Barone, Emanuela Stagno
| Artificial Intelligence along the Customer Journey : A Customer Experience Perspective / / by Ada Maria Barone, Emanuela Stagno |
| Autore | Barone Ada Maria |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Palgrave Macmillan, , 2023 |
| Descrizione fisica | 1 online resource (xiii,127 pages) : illustrations |
| Disciplina | 658.80028563 |
| Soggetto topico |
Consumer behavior
Technological innovations Telemarketing Internet marketing Customer relations - Management Consumer Behavior Innovation and Technology Management Digital Marketing Customer Relationship Management |
| 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’ cognitive, affective, and behavioural responses to chatbots -- 2.1 Consumers’ 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 VAs’ 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 futureresearch -- 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 : , : Springer Nature Switzerland : , : Imprint : 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 | ||
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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-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 |
| 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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