Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
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 |
Barone Ada Maria
|
||
| Cham : , : Palgrave Macmillan, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Beyond AI : ChatGPT, Web3, and the business landscape of tomorrow / / Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing, editors
| Beyond AI : ChatGPT, Web3, and the business landscape of tomorrow / / Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing, editors |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (xxvii, 395 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Future of Business and Finance Series |
| Soggetto topico |
Business enterprises - Technological innovations
Artificial intelligence |
| Soggetto non controllato |
BUSINESS & ECONOMICS / Information Management
BUSINESS & ECONOMICS / Business Ethics BUSINESS & ECONOMICS / Management Science COMPUTERS / Artificial Intelligence / General COMPUTERS / Security / General BUSINESS & ECONOMICS / Finance / Financial Engineering |
| ISBN | 3-031-45282-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgment -- Contents -- About the Editors -- PartPart10005725897 -- Chapter 1: Overview of ChatGPT, Web3, and New Business Landscape -- 1.1 Introduction to Generative AI and ChatGPT -- 1.1.1 Understanding Generative AI -- 1.1.2 The Journey of ChatGPT -- 1.1.3 The Transformative Power of ChatGPT -- 1.2 Generative AI: The New Paradigm -- 1.2.1 ChatGPT and the New Business Landscape -- 1.2.2 ChatGPT on Business Efficiency and Accuracy -- 1.3 Key Players in GenAI -- 1.3.1 Decoding the Success of Key Players in GenAI -- 1.3.2 GenAI: A Roster of the Influential Entities -- 1.4 Why Now? -- 1.4.1 The Rise of GPT and Transformer Architecture -- 1.4.2 The Rising Need for GenAI in the Age of Personalization -- 1.4.3 Data and Computational Power: Scaling GenAI -- 1.4.4 Other Reasons and Limitations -- 1.5 GenAI Horizontal Applications and Challenges -- 1.5.1 GenAI Horizontal Applications -- 1.5.2 Ongoing Challenges -- 1.6 The Future of GenAI and Integration with Web3 -- 1.6.1 The Future of GenAI -- 1.6.2 Web3 and the Need to Integrate Web3 with GenAI -- References -- Chapter 2: ChatGPT: Inside and Impact on Business Automation -- 2.1 Basics of Machine Learning and Neural Networks -- 2.1.1 What Is Machine Learning? -- 2.1.2 What Are Neural Networks? -- 2.1.3 Popular Neural Network Architectures -- 2.2 Overview of Generative AI Technology -- 2.3 Key ChatGPT Concepts -- 2.3.1 The Transformer -- 2.3.2 How Are Language Models Created? -- 2.3.3 Text to Image Generation Technology -- 2.4 Key Research Papers in GPT -- 2.5 ChatGPT and the Future of Business Automation -- 2.5.1 Business Automation Enabled by ChatGPT and its Extension -- 2.5.2 ChatGPT Plug-in Vs. Apple App Store -- 2.5.3 OpenAI ChatGPT Function Call Capability -- 2.5.4 From AIGC to AIGX -- 2.5.5 How CEOs Get Prepared for ChatGPT? -- References -- PartPart20005725898.
Chapter 3: ChatGPT and Web3 Applications -- 3.1 Introduction to Web3 Applications and ChatGPT -- 3.1.1 The Emergence of Web3 and Decentralized Networks -- 3.1.2 Overview of ChatGPT´s Role in Web3 Applications -- 3.1.3 Overview of Web3 Ecosystem´s Role in ChatGPT -- 3.2 Innovative Use Cases of ChatGPT in Web3 Applications -- 3.2.1 Enhancing Decentralized Applications (dApps) with ChatGPT -- 3.2.2 ChatGPT in Decentralized Finance (DeFi) Platforms -- 3.2.3 Leveraging ChatGPT for NFT -- 3.2.4 Leveraging ChatGPT for DAO -- 3.2.5 Leveraging ChatGPT for Metaverse -- 3.3 Impact of ChatGPT on Decentralized Networks -- 3.3.1 The Potential for Improved User Experience -- 3.3.2 Scalability Concerns and Network Effects -- 3.3.3 Addressing Trust and Governance Issues -- 3.4 Innovative Use of Web3 in ChatGPT -- 3.4.1 A New Landscape for AI Data Governance -- 3.4.2 AI Model Validation in a Decentralized Environment -- 3.4.3 Democratizing Computation Power for AI -- 3.4.4 Decentralized AI Solution Marketplace -- 3.4.5 Incentivizing User Engagement and Content Generation -- 3.4.6 New Monetization Strategies and Business Models -- 3.5 Preparing for the Future of ChatGPT and Web3 -- 3.5.1 Anticipating Technological Advancements and Trends -- 3.5.2 Nurturing Interdisciplinary Collaboration -- 3.5.3 Building a Robust Integration Strategy -- References -- Chapter 4: ChatGPT in Product Management -- 4.1 ChatGPT for Product Ideation -- 4.1.1 Identifying Market Opportunities with ChatGPT -- 4.1.2 ChatGPT in Competitive Analysis and Benchmarking -- 4.1.3 Brainstorming and Idea Generation Using ChatGPT -- 4.2 ChatGPT for Product Design -- 4.2.1 Streamlining Design and Collaboration with ChatGPT -- 4.2.2 ChatGPT-Enhanced User Experience and Interface Design -- 4.3 ChatGPT in Agile Methodologies and Project Management -- 4.3.1 ChatGPT for Target Audience Analysis and Segmentation. 4.3.2 Social Media and Content Strategy with ChatGPT -- 4.4 ChatGPT in Product Launch and Go-to-Market Strategy -- 4.4.1 ChatGPT-Driven Launch Plan Development -- 4.4.2 Sales Enablement and Training with ChatGPT -- 4.4.3 Tracking and Analyzing Performance Using ChatGPT -- 4.5 ChatGPT for Customer Support and Success -- 4.5.1 Enhancing User Onboarding with ChatGPT -- 4.5.2 ChatGPT in Customer Retention and Churn Prediction -- 4.6 ChatGPT and Product Management Frameworks -- 4.6.1 The Jobs to Be Done (JTBD) Framework -- 4.6.2 RICE Prioritization Framework -- 4.6.3 AARRR Metrics, also known as Pirate Metrics -- 4.6.4 The MoSCoW Method -- 4.7 ChatGPT Integration with Web3 for Product Management -- 4.7.1 Decentralized Knowledge Sharing and Collaboration Using ChatGPT and Web3 -- 4.7.2 Decentralized Product Feedback and Review Systems -- 4.8 Future Directions and Challenges for ChatGPT in Product Management -- 4.8.1 Addressing ChatGPT Limitations in Product Management -- 4.8.2 Ethical Considerations and Responsible AI in Product Management -- 4.8.3 Measuring ROI and Impact of ChatGPT in Product Management -- 4.8.4 Anticipating Future Developments and Trends in ChatGPT and Product Management -- References -- Chapter 5: ChatGPT and Gig Economy -- 5.1 ChatGPT for Gig Economy Platforms -- 5.1.1 Enhancing Platform User Experience with ChatGPT -- 5.1.2 ChatGPT-Driven Recruitment and Onboarding -- 5.1.3 Streamlining Project Management and Collaboration Using ChatGPT -- 5.2 ChatGPT for Freelance Professionals -- 5.2.1 ChatGPT as a Virtual Assistant for Freelancers -- 5.2.2 Enhancing Productivity and Time Management with ChatGPT -- 5.2.3 ChatGPT for Networking and Community Building -- 5.3 ChatGPT in Gig Economy Skill Development -- 5.3.1 ChatGPT for Personalized Learning and Training -- 5.3.2 ChatGPT in Mentorship and Career Guidance. 5.3.3 Skill Assessment and Gap Analysis with ChatGPT -- 5.4 ChatGPT in Gig Economy Financial Management -- 5.4.1 ChatGPT for Financial Planning and Budgeting -- 5.4.2 Invoicing and Payment Management with ChatGPT -- 5.4.3 ChatGPT in Tax Planning and Compliance -- 5.5 ChatGPT for Legal and Contract Management in gig Economy -- 5.5.1 Leveraging ChatGPT for Contract Generation and Review -- 5.5.2 ChatGPT in Dispute Resolution and Mediation -- 5.5.3 Navigating Legal and Regulatory Compliance with ChatGPT -- 5.6 Integration with Web3 -- 5.6.1 Optimizing Job Matching and Discovery with ChatGPT and Web3 -- 5.6.2 Streamlining Contract Management and Payments with ChatGPT and Web3 -- 5.6.3 Enhancing Gig Worker Support and Skill Development with ChatGPT and Web3 -- 5.6.4 Promoting Transparency, Accountability, and Fairness with ChatGPT and Web3 -- 5.7 Future Directions and Challenges for ChatGPT in Gig Economy -- 5.7.1 Addressing ChatGPT Limitations in Gig Economy Applications -- 5.7.2 Ethical Considerations and Responsible AI in the Gig Economy -- 5.7.3 Anticipating Future Developments and Trends in ChatGPT and Gig Economy -- References -- Chapter 6: ChatGPT in Nutrition Science -- 6.1 GPT Use in Generating Personalized Nutrition Recommendations -- 6.1.1 Personalized Fitness Goals and Recommendations -- 6.1.2 Meal Planning -- 6.1.3 Tracking Eating Habits with ChatGPT -- 6.1.4 ChatGPT as an Accountability Partner -- 6.1.5 ChatGPT as a Guide in the World of Supplements -- 6.1.6 Cooking Advice by GPT -- 6.2 GPT in the Development of New Foods -- 6.2.1 Revolutionizing Research and Development with ChatGPT -- 6.2.2 ChatGPT and the Innovation of Plant-Based Alternatives -- 6.2.3 ChatGPT: A Compass in the Complex Regulatory Landscape of Food Science -- 6.2.4 ChatGPT as a Facilitator for Cross-Disciplinary Collaboration. 6.3 GPT Uses in Dietary Patterns and Health Outcomes -- 6.3.1 GPT Models and Dietary Patterns Analysis -- 6.3.2 Applications of GPT Technology in Nutrition Research -- 6.4 Nutrition Professional´s Use of GPT -- 6.4.1 Effective Communication -- 6.4.2 Staying Informed about the Latest Research -- 6.4.3 Creating Educational Material -- 6.4.4 Online Presence -- 6.5 ChatGPT: Nutrition Science Privacy Concerns -- 6.5.1 ChatGPT´s Privacy and Security in Nutrition Science -- 6.5.2 ChatGPT´s Ethical Considerations in Nutrition Science -- 6.5.3 ChatGPT´s Limitations in Nutrition Science -- 6.6 Integration with Web3 -- 6.6.1 ChatGPT-Web3: Tailoring Nutritional Advice -- 6.6.2 Boosting Nutrition Research with ChatGPT and Web3 -- 6.6.3 ChatGPT-Web3: Transforming Nutrition Communication -- 6.6.4 Food Traceability and Safety with ChatGPT and Web3 -- References -- Chapter 7: ChatGPT in Finance and Banking -- 7.1 Expanding Financial Services with ChatGPT -- 7.1.1 Streamlining Operational Processes of Financial Services -- 7.1.2 Enhancing Fraud Detection and Prevention -- 7.1.3 Personalizing Financial Products and Services -- 7.2 Transforming Customer Experience in Banking -- 7.2.1 Conversational Banking and Customer Support 24/7 -- 7.2.2 Conversational Banking and Financial Advice -- 7.2.3 Multilingual Support and Accessibility -- 7.3 Risk Assessment and Investment Portfolio Optimization -- 7.3.1 Credit Scoring and Risk Profiling -- 7.3.2 Portfolio Management and Asset Allocation -- 7.3.3 Predictive Analytics for Market Insights -- 7.4 Decentralized Finance (DeFi) and ChatGPT -- 7.4.1 Smart Contracts and Automated Transactions -- 7.4.2 Enhanced Security and Transparency -- 7.4.3 Financial Inclusion and Accessibility -- 7.4.4 Addressing Security and Privacy Concerns in DeFi -- 7.5 Security and Privacy Controls of ChatGPT Use in Finance and Banking. 7.5.1 Data Protection and Privacy Compliance -- 7.5.2 Mitigating Adversarial Attacks -- 7.5.3 Continuous Monitoring and Audits -- 7.6 The Future of AI in Finance and Banking -- 7.6.1 Emerging Technologies and Innovations -- 7.6.2 Ethical Considerations and Responsible AI -- 7.6.3. -- Upskilling and Workforce Adaptation -- 7.6.4 GenAI Adoption Maturity Framework for Financial Institutions -- Chapter 8. Chat GPT in Real Estate -- 8.1 AI in Today's Real Estate -- 8.2 Applications of ChatGPT and Generative AI in Real Estate -- 8.3 Challenges of ChatGPT and Generative AI in Real Estate -- 8.4 Real Estate Reimagined: ChatGPT and Web3 Synergy -- References -- Chapter 9. ChatGPT in Gaming Industry -- 9.1 Introduction to ChatGPT in Gaming -- 9.2 Integration of ChatGPT into Games -- 9.3 Applications of ChatGPT in Gaming -- 9.4 Challenges and Limitations -- 9.5 Future Trends and Opportunities -- 9.6 ChatGPT + Web3 in Gaming Industry -- References -- Chapter 10. ChatGPT in Government -- 10.1 ChatGPT for Citizen Engagement -- 10.2 ChatGPT for Public Administration Efficiency -- 10.3 Chat GPT in Policy Development and Analysis -- 10.4 ChatGPT for Government Collaboration and Innovation -- 10.5 Ethical Considerations and Challenges of ChatGPT in Government -- 10.6 ChatGPT and Web3 for Government Services. Part III: Ethical, Legal, and Security Considerations in Chat GPT -- Chapter 11. Security and Privacy concerns in ChatGPT -- 11.1 Overview -- 11.2 Security Risks in ChatGPT -- 11.3 Privacy Concerns in ChatGPT -- 11.4 User Perspectives on Security and Privacy -- 11.5 Addressing Security and Privacy Concerns -- References. Chapter 12: Legal and Ethics Responsibility of ChatGPT -- 12.1 Introduction to Legal and Ethical Concerns in ChatGPT -- 12.2 Intellectual Property Rights and ChatGPT -- 12.3 Liability and Accountability and ChatGPT -- 12.4 Ethical Considerations in ChatGPT Deployment -- 12.5 Compliance with Privacy and Data Protection Regulations -- 12.6 AI Regulations in Some Countries -- 12.7 Recommendations and Best Practices for Legal and Ethical ChatGPT Use -- References -- Appendix A: ChatGPT FAQ -- Glossary |
| Altri titoli varianti | ChatGPT, Web3, and the business landscape of tomorrow |
| Record Nr. | UNINA-9910799238403321 |
| Cham : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Business digital transformation : selected cases from industry leaders / / edited by Alex Zarifis, Despo Ktoridou, Leonidas Efthymiou, Xusen Cheng
| Business digital transformation : selected cases from industry leaders / / edited by Alex Zarifis, Despo Ktoridou, Leonidas Efthymiou, Xusen Cheng |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Palgrave Macmillan, , [2024] |
| Descrizione fisica | 1 online resource (xiii, 211 pages) : illustrations (black and white) |
| Disciplina | 658.4063 |
| Soggetto topico |
Organizational change
Automation Industry 4.0 Transformational leadership |
| Soggetto non controllato |
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Management BUSINESS & ECONOMICS / Strategic Planning BUSINESS & ECONOMICS / Information Management |
| ISBN | 3-031-33665-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction to digital transformation in Business -- 2. Insight and Control over Personal Data for Swedish local Government: A citizen-centered model for public-private data sharing -- 3. Virtualizing New Product Development in Heavy Asset Industries -- 4. What are we automating? On the need for vision and expertise when deploying AI systemsDr Alex Rast, Oxford Brooks University -- 5. Digital Transformation in Biotech: Producing antibodies by using the innovative IMG-AbS platform technology -- 6. Digital transformation in Regtech: The impact of Regtech in Fintech -- 7. Transition of Businesses in India towards Digitalisation and the Challenges Thereafter - Case Study -- 8. Digital transformation with AI in insurance in Europe and Asia Prof. Xusen Cheng, Renmin University of China -- 9. DP World: Strategizing amidst digital transformation in the maritime sector Dr Leonidas Efthymiou, University of Nicosia -- 10. The Impact of digitisation on Education and Learning in Universities. |
| Record Nr. | UNINA-9910770252903321 |
| Cham : , : Palgrave Macmillan, , [2024] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital transformation : what is the impact on workers today? / / Zuzana Dvořáková, Anastasia Kulachinskaya, editors
| Digital transformation : what is the impact on workers today? / / Zuzana Dvořáková, Anastasia Kulachinskaya, editors |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (viii, 222 pages) : illustrations (some color) |
| Collana | Lecture Notes in Networks and Systems Series |
| Soggetto topico |
Employees - Effect of technological innovations on
Employees - Training of Technological innovations - Management |
| Soggetto non controllato |
COMPUTERS / Data Science / General
BUSINESS & ECONOMICS / Management Science TECHNOLOGY & ENGINEERING / Engineering (General) |
| ISBN | 3-031-47694-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Human Capital in the Digital Economy: Search for a Perspective Field of Research -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Smart Work and Lifelong Learning for Workers' Employability -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Jobs and Competences -- 3.2 Employability of Unskilled and Semi-skilled Workers -- 3.3 Training Transformation Based on Digitalization -- 3.4 Digitization and Robotics Rates in SMEs in the EU -- 3.5 Potential of Digitization for Employment in SMEs -- 4 Discussion -- 5 Conclusion -- References -- Study on the Quality of Professional and Digital Competences of Master's Students in the Context of Power Engineering and Electrical Engineering Labour Market -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 4 Results -- 5 Discussion and Conclusion -- References -- Digitalization of Functional Management: The View of Employers and Employees -- 1 Introduction -- 2 Materials and Methods -- 3 Materials and Methods -- 3.1 Employers -- 3.2 Employees -- 4 Discussion -- 5 Conclusion -- References -- Digital Local History and Lore Exploration: Strategies and Tools of Educator's Vocational Competency Development -- 1 Introduction -- 2 The Methods -- 3 Research Results -- 4 Discussion -- 5 Conclusions -- References -- Peculiarities of the Application of Cognitive Learning Systems in the Study of Electrical Engineering Disciplines -- 1 Introduction -- 1.1 Topicality of the Problem -- 1.2 Literature Review -- 2 Materials and Methods -- 3 Results -- 4 Debatable Issues -- 5 Conclusions -- References -- An Online Course as the Basis for Training of Modern Volunteers -- 1 The Introduction -- 2 The Literature Review -- 3 Research Methodology and Design -- 4 Analysis and Discussion of the Results -- 5 Conclusions -- References.
Digital Competencies of Student Labor Teams' Members -- 1 Introduction -- 2 Materials and Research Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Energy Education in the Era of Digital and Socio-Economic Transformations: Kazan State Power Engineering University Experience in the Formation of Competencies -- 1 Introduction -- 1.1 Relevance -- 1.2 Methods -- 2 Results -- 2.1 Results of an Empirical Study -- 2.2 Conclusion -- References -- The Effectiveness of the Formation and Development of In-House Knowledge in Organizations of Kazakhstan -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Speech Technologies in the Operational Personnel Training of Urban Rail Transport Systems -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Smart Workplace: Implementation of Management Innovations in Public Administration Processes -- 1 Introduction -- 2 Management Innovation and Digital Government -- 3 Results: Algorithm for Introducing Management Innovations into Public Administration Processes -- 4 Discussion -- 5 Conclusion -- References -- The Influence of the Social Environment on the Development of the Labor Market in the Field of Information and Communication Technologies (ICT) -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Impact of the External Environment on the Development of the ICT Labor Market -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- Application of Immersive Technologies to Improve the Effectiveness of Training and Staff Performance -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References. Conceptual Model of Strategic Management of the Quality Management System as a Tool for Transforming Labor Relations in the Context of Digitalization -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 3.1 Principles of Building a Quality Management System in the Context of Digital Transformation -- 3.2 Analysis of Existing Approaches to Strategic Enterprise Management in the Context of Digital Transformation -- 3.3 Conceptual Model of Strategic Management of the Quality Management System at an Enterprise in the Context of Digital Transformation -- 4 Discussion and Conclusion -- References. |
| Record Nr. | UNINA-9910799216503321 |
| Cham : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Making in America : from innovation to market / / Suzanne Berger with MIT Task Force on Production in the Innovation economy
| Making in America : from innovation to market / / Suzanne Berger with MIT Task Force on Production in the Innovation economy |
| Autore | Berger Suzanne |
| Pubbl/distr/stampa | Cambridge, Massachusetts, : The MIT Press, [2013] |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 338/.0640973 |
| Soggetto topico |
Manufacturing industries - Technological innovations - United States
Technological innovations - United States Research, Industrial - United States New products - United States |
| Soggetto non controllato |
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Production & Operations Management |
| ISBN |
0-262-31684-6
0-262-52837-1 0-262-31683-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- What happened to manufacturing -- Scaling up start-ups to market -- Main street manufacturers and innovation -- Lessons in scaling from abroad: Germany and China -- Trends in advanced manufacturing technology research -- Jobs, skills, and training -- Building new pathways from innovation to the market. |
| Record Nr. | UNINA-9910790577403321 |
|
Berger Suzanne
|
||
| Cambridge, Massachusetts, : The MIT Press, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Making in America : from innovation to market / / Suzanne Berger with MIT Task Force on Production in the Innovation economy
| Making in America : from innovation to market / / Suzanne Berger with MIT Task Force on Production in the Innovation economy |
| Autore | Berger Suzanne |
| Pubbl/distr/stampa | Cambridge, Massachusetts, : The MIT Press, [2013] |
| Descrizione fisica | 1 online resource (265 p.) |
| Disciplina | 338/.0640973 |
| Soggetto topico |
Manufacturing industries - Technological innovations - United States
Technological innovations - United States Research, Industrial - United States New products - United States |
| Soggetto non controllato |
BUSINESS & ECONOMICS / Management Science
BUSINESS & ECONOMICS / Production & Operations Management |
| ISBN |
0-262-31684-6
0-262-52837-1 0-262-31683-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- What happened to manufacturing -- Scaling up start-ups to market -- Main street manufacturers and innovation -- Lessons in scaling from abroad: Germany and China -- Trends in advanced manufacturing technology research -- Jobs, skills, and training -- Building new pathways from innovation to the market. |
| Record Nr. | UNINA-9910821465403321 |
|
Berger Suzanne
|
||
| Cambridge, Massachusetts, : The MIT Press, [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||