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Biblioteca

MARC Lista (tabellare)
The agile architecture revolution [[electronic resource] ] : how cloud computing, REST-based SOA, and mobile computing are changing enterprise IT / / Jason Bloomberg ; with contributions from Ronald Schmelzer
The agile architecture revolution [[electronic resource] ] : how cloud computing, REST-based SOA, and mobile computing are changing enterprise IT / / Jason Bloomberg ; with contributions from Ronald Schmelzer
Autore Bloomberg Jason <1961->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, : Wiley, 2013
Descrizione fisica 1 online resource (302 p.)
Disciplina 658.4/038
Altri autori (Persone) SchmelzerRon
Collana Wiley CIO series
Soggetto topico Business enterprises - Technological innovations
Management information systems
Service-oriented architecture (Computer science)
ISBN 1-118-55700-X
1-118-42199-X
1-283-99380-5
1-118-41787-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword: the agile architecture revolution -- Preface -- Enterprise as complex system -- Introducing agile architecture -- Shhh, don't tell anyone, but let's talk about service-oriented architecture -- Governance : the secret to satisfying the business agility meta-requirement -- The enterprise as complex system -- Conclusion -- List of abbreviations -- About the author -- Index.
Record Nr. UNINA-9910141496103321
Bloomberg Jason <1961->  
Hoboken, : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The agile architecture revolution : how cloud computing, REST-based SOA, and mobile computing are changing enterprise IT / / Jason Bloomberg ; with contributions from Ronald Schmelzer
The agile architecture revolution : how cloud computing, REST-based SOA, and mobile computing are changing enterprise IT / / Jason Bloomberg ; with contributions from Ronald Schmelzer
Autore Bloomberg Jason <1961->
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, : Wiley, 2013
Descrizione fisica 1 online resource (302 p.)
Disciplina 658.4/038
Altri autori (Persone) SchmelzerRon
Collana Wiley CIO series
Soggetto topico Business enterprises - Technological innovations
Management information systems
Service-oriented architecture (Computer science)
ISBN 1-118-55700-X
1-118-42199-X
1-283-99380-5
1-118-41787-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foreword: the agile architecture revolution -- Preface -- Enterprise as complex system -- Introducing agile architecture -- Shhh, don't tell anyone, but let's talk about service-oriented architecture -- Governance : the secret to satisfying the business agility meta-requirement -- The enterprise as complex system -- Conclusion -- List of abbreviations -- About the author -- Index.
Altri titoli varianti How cloud computing, representational state transfer-based service-oriented architecture, and mobile computing are changing enterprise information technology
Record Nr. UNINA-9910813221803321
Bloomberg Jason <1961->  
Hoboken, : Wiley, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Arbeitsorganisation 2.0 : Tools für den Arbeitsalltag in Kultur- und Bildungseinrichtungen / / Julia Bergmann, Jürgen Plieninger
Arbeitsorganisation 2.0 : Tools für den Arbeitsalltag in Kultur- und Bildungseinrichtungen / / Julia Bergmann, Jürgen Plieninger
Autore Bergmann Julia
Pubbl/distr/stampa De Gruyter, 2012
Descrizione fisica 1 online resource (ix, 138 pages) : illustrations (some colour); digital, PDF file(s)
Disciplina 025.00285
Collana Praxiswissen
Soggetto topico Web 2.0
Electronic commerce
Business enterprises - Technological innovations
Technological innovations - Management
Information technology
Soggetto non controllato Web 2.0.
Workplace Organization
ISBN 3-11-026959-7
Classificazione AK 39500
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Nota di contenuto Frontmatter -- Über dieses Buch -- Inhalt -- 1 Einleitung -- 2 Browser -- 3 Social Bookmarking -- 4 Kommunikation -- 5 Monitoring: Informationen abonnieren und strukturieren -- 6 Zeitmanagement -- 7 Inhalte gemeinsam bearbeiten -- 8 Mindmapping -- 9 Verwalten von Notizen und Fundstücken -- 10 Cloud-Dienste -- 11 Eigene Inhalte im Web teilen -- Glossar -- Über die Autoren
Record Nr. UNISA-996204032503316
Bergmann Julia  
De Gruyter, 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial intelligence basics : a non-technical introduction / / Tom Taulli
Artificial intelligence basics : a non-technical introduction / / Tom Taulli
Autore Taulli Tom
Pubbl/distr/stampa Monrovia, California : , : Apress, , [2019]
Descrizione fisica 1 online resource (xi, 187 pages) : illustrations, charts
Disciplina 006.3
Collana Gale eBooks
Soggetto topico Artificial intelligence
Machine learning
Business enterprises - Technological innovations
Natural language processing (Computer science)
ISBN 1-4842-5028-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: AI Foundations: History Lessons -- Chapter 2: Data: The Fuel for AI -- Chapter 3: Machine Learning: Mining Insights from Data -- Chapter 4: Deep Learning: The Revolution in AI -- Chapter 5: Robotic Process Automation (RPA): An Easier Path to AI -- Chapter 6: Natural Language Processing (NLP): How Computers Talk -- Chapter 7: Physical Robots: The Ultimate Manifestation of AI -- Chapter 8: Implementation of AI: Moving the Needle for Your Company -- Chapter 9: The Future of AI: The Pros and Cons -- Appendix: AI Resources -- Glossary.
Record Nr. UNINA-9910338232103321
Taulli Tom  
Monrovia, California : , : Apress, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
Bridging the technological divide : technology adoption by firms in developing countries
Bridging the technological divide : technology adoption by firms in developing countries
Autore Cirera Xavier
Edizione [1st ed.]
Pubbl/distr/stampa Piraí : , : World Bank Publications, , 2022
Descrizione fisica 1 online resource (241 pages)
Disciplina 658.4063
Altri autori (Persone) CominDiego
CruzMarcio
Soggetto topico Business enterprises - Technological innovations
Technology and state
ISBN 1-4648-1859-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover -- Contents -- Foreword -- Preface -- Acknowledgments -- About the Authors -- Abbreviations -- Introduction -- The Imperative of Technology in Developing Countries -- The Technological Divide -- Road Map to the Volume -- Contributions to the Literature -- Main Messages from the Volume -- Notes -- References -- Part 1 Measuring the Technological Divide -- 1. A New Approach to Measure Technology Adoption by Firms -- Introduction -- Measuring Adoption and Use of Technology by Firms -- Opening the Black Box: The Firm-level Adoption of Technology (FAT) Survey -- The Data Used in This Volume -- Using the FAT Data to Understand Some of the Limitations of Standard Measures of Technology -- Summing Up -- Notes -- References -- 2. Facts about Technology Adoption and Use in Developing Countries -- Introduction -- Cross-Country Technology Facts -- Cross-Firm Technology Facts -- Other Technology Facts -- Summing Up -- Notes -- References -- 3. Adoption of Sector-Specific Technologies -- Introduction -- Technology Differences across and within Sectors -- Technology Upgrading and the Limits to Leapfrogging -- Specialization, Technology, and Outsourcing -- Summing Up -- Notes -- References -- Part 2 The Implications of the Technological Divide for Long-Term Economic Growth -- 4. Technology Sophistication, Productivity, and Employment -- Introduction -- Technology and Firm-Level Productivity -- Technology Adoption and Employment -- Summing Up -- Notes -- References -- 5. Digital Technologies and Resilience to Shocks -- Introduction -- Digital Technologies -- Technology and Resilience -- Summing Up -- Notes -- References -- Part 3 What Countries Can Do to Bridge the Technological Divide -- 6. What Constrains Firms from Adopting Better Technologies? -- Introduction -- Firm-Level Determinants of Adoption.
Perceived Drivers of and Obstacles to Technology Adoption -- Factual Evidence on Drivers of and Obstacles to Technology Adoption -- Summing Up -- Notes -- References -- Chapter 7. Policies and Instruments to Accelerate Technology Adoption -- Introduction -- A Checklist to Design Technology Upgrading Programs -- Using the FAT Survey to Inform the Design and Implementation of Policies Supporting Technology Upgrading -- Instruments to Support Technology Upgrading at the Firm Level -- Summing Up -- Notes -- References -- Appendix A. The Firm-level Adoption of Technology (FAT) Survey, Implementation, and Data Set -- Boxes -- Box I.1 Defining Technology and Business Functions -- Box 1.1 The Technology Index at the Firm Level: An Example from the Food-Processing Sector in Senegal -- Box 2.1 The Large Gap in Technology Sophistication between Formal and Informal Firms -- Box 3.1 The Strong Sector Composition of the Use of Industry 4.0 Technologies -- Box 3.2 The Closeness of Pharmaceutical Firms to the Technology Frontier -- Box 6.1 Specific Barriers to the Use of Digital Platforms -- Box 7.1 Digital Platforms Are Prone to Market Concentration and Dominance -- Box 7.2 The Firm-Level Technology Diagnostic Tool -- Box 7.3 Agriculture Extension: The Case of Embrapa -- Box 7.4 Credit Guarantees for Technology through the Korea Technology Finance Corporation (KOTEC) -- Box 7.5 The Difference between Vouchers and Grants -- Box 7.6 Fraunhofer Institutes -- Figures -- Figure 1.1 While Countries Are Converging in Their Adoption of Technology, They Are Diverging in the Intensity of Use -- Figure 1.2 Conceptual Framework for the Firm-level Adoption of Technology (FAT) Survey -- Figure 1.3 General Business Functions and Their Associated Technologies -- Figure 1.4 Share of Firms Using Technologies Applied to Various General Business Functions, All Countries.
Figure 1.5 Sector-Specific Business Functions and Technologies -- Figure 1.6 An Example of the Technology Index -- Figure B1.1.1 Comparing Technology Sophistication of a Large and a Small Firm in the Food-Processing Sector -- Figure 1.7 Firms Vary Widely in the Status of Their Adoption of General-Purpose Technologies -- Figure 1.8 Among Firms with Access to Computers and the Internet, a Large Share Relies Mostly on Less Sophisticated Methods to Conduct Business Functions -- Figure 2.1 Estimated Technology Sophistication, by Country: Manufacturing -- Figure 2.2 Estimated Technology Sophistication, by Country: Agriculture and Services -- Figure 2.3 There Is a Strong Correlation between the Technology Sophistication of a Region and Regional Productivity -- Figure 2.4 Cross-Country Differences in Technology Are Also Explained by the Number of Firms Using Sophisticated Technology -- Figure B2.1.1 Technology Sophistication Is Significantly Greater among Formal Firms in Senegal -- Figure 2.5 The Level of Technology Sophistication for General Business Functions Varies Greatly -- Figure 2.6 Technology Sophistication Varies across Firm Size -- Figure 2.7 The Likelihood of Adopting Frontier Technologies for General Business Functions Varies across Firm Size -- Figure 2.8 The Likelihood of Adopting Frontier Technologies for Sector-Specific Business Functions Varies across Firm Size -- Figure 2.9 Rank Orderings of the Distribution of Technology Sophistication Are Consistent across Select Countries -- Figure 2.10 Most Productive Countries and Regions Have Firms That Use More Sophisticated Technologies on Average -- Figure 2.11 Within-Firm Variance of Technology Sophistication Is Positively Associated with Regional Productivity -- Figure 2.12 Technology Disruption in Telecommunications -- Figure 2.13 Diffusion Curves, by Firm Size (Early versus Late Adopters).
Figure 2.14 Firms with Lower Levels of Technological Capabilities Tend to Overestimate Their Technological Sophistication -- Figure 3.1 Firms in Agriculture Tend to Use More Sophisticated Technologies in Sector-Specific Business Functions -- Figure 3.2 The Technology Gaps Are Larger in General Business Functions in Agriculture Compared to Sector-Specific Business Functions -- Figure 3.3 Technology Sophistication for Fabrication in Manufacturing Is Low in Developing Countries -- Figure B3.1.1 The Likelihood of Adopting Advanced Manufacturing Technologies Varies Widely across Sectors -- Figure B3.1.2 More Capital-Intensive Agricultural Firms Are More Likely to Adopt Advanced Technologies -- Figure 3.4 Differences in Technology across Countries Roughly Follow Income Differences in the Food-Processing Sector -- Figure 3.5 Cross-Country Comparisons in Wearing Apparel Are Not So Large among Exporter Countries -- Figure B3.2.1 Pharmaceutical Firms Are Relatively Close to the Technology Frontier, but There Is Significant Room for Improvement in Developing Countries -- Figure 3.6 Digitalization of Sector-Specific Business Functions Is at an Early Stage in Retail Services -- Figure 3.7 The Diffusion Curves of Newer Sector-Specific Technologies Do Not Suggest Leapfrogging -- Figure 3.8 Tractor Ownership, Renting, and Digital Renting Do Not Suggest Leapfrogging through Digital Platforms -- Figure 3.9 Across Sectors, There Is Large Heterogeneity in Outsourcing Sector-Specific Business Functions -- Figure 3.10 Within Sectors, There Is Heterogeneity in the Degree of Outsourcing within Sector-Specific Business Functions -- Figure 3.11 The Significant Correlation between Outsourcing Tasks and Technology Sophistication (All Business Functions) Is Restricted to Some Business Functions.
Figure 3.12 There Are No Significant Differences between Traders and Nontraders in Outsourcing Business Functions -- Figure 4.1 Several Drivers Affect the Margins of Productivity Growth -- Figure 4.2 Technology Sophistication Is Correlated with Labor Productivity -- Figure 4.3 The Level of Technology Sophistication Varies Considerably across Agriculture, Manufacturing, and Services Sectors -- Figure 4.4 Differences in Technology Sophistication between the Republic of Korea and Senegal Are Larger in the Agricultural Sector than in Nonagricultural Sectors and Are Driven Mainly by the Low Sophistication of Informal Firms -- Figure 4.5 Firms Generally Keep the Same Number of Jobs When They Adopt New Technologies -- Figure 4.6 Firms That Have Adopted Better Technology Have Increased Employment -- Figure 4.7 More Sophisticated Technologies in Some Business Functions Are More Associated with Employment Growth -- Figure 4.8 Firms with a Higher Level of Technology Are Creating More Jobs but Not Changing Their Share of Low-Skilled Workers -- Figure 4.9 Firms Using More Sophisticated Technologies Pay Higher Wages -- Figure 4.10 Technology Sophistication Contributes to Wage Inequality within Firms -- Figure 5.1 Use of Internet and Adoption of Applications of Digital Technologies Vary by Sophistication and Firm Size -- Figure 5.2 Digital Technology Intensity Varies across Sectors and Business Functions -- Figure 5.3 Some Technologies Diffuse More Rapidly than Others -- Figure 5.4 Market Concentration Poses a Challenge for the Supply of Digital Business Solutions -- Figure 5.5 The Large Drop in Sales at the Beginning of the COVID-19 Pandemic Persisted for Many Firms, and the Loss Was Greater for Microenterprises and Small Firms -- Figure 5.6 Demand for Digital Solutions Increased Greatly in Response to the COVID-19 Pandemic.
Figure 5.7 A Large Share of Businesses Digitalized during the COVID-19 Pandemic.
Record Nr. UNINA-9910813808403321
Cirera Xavier  
Piraí : , : World Bank Publications, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business and Emerging Technologies
Business and Emerging Technologies
Autore Baffour George
Pubbl/distr/stampa New York : , : Business Expert Press, , 2021
Descrizione fisica 1 online resource (200 pages)
Disciplina 658.514
Soggetto topico Industrial revolution
Business enterprises - Technological innovations
Business planning
Artificial intelligence
Blockchains (Databases)
Internet of things
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910795352703321
Baffour George  
New York : , : Business Expert Press, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Business and Emerging Technologies
Business and Emerging Technologies
Autore Baffour George
Pubbl/distr/stampa New York : , : Business Expert Press, , 2021
Descrizione fisica 1 online resource (200 pages)
Disciplina 658.514
Soggetto topico Industrial revolution
Business enterprises - Technological innovations
Business planning
Artificial intelligence
Blockchains (Databases)
Internet of things
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910816332303321
Baffour George  
New York : , : Business Expert Press, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Collaboration and social media 2008 [[electronic resource] ] : taking stock of today's experiences and tomorrow's opportunities / / Geoffrey Bock, Steve Paxhia
Collaboration and social media 2008 [[electronic resource] ] : taking stock of today's experiences and tomorrow's opportunities / / Geoffrey Bock, Steve Paxhia
Autore Bock Geoffrey <1946->
Pubbl/distr/stampa Cambridge, Mass., : Gilbane Group, 2008
Descrizione fisica 1 online resource (123 p.)
Altri autori (Persone) PaxhiaSteve
Soggetto topico Business enterprises - Technological innovations
Social media
Web 2.0
ISBN 0-9820281-2-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Collaboration and social media 2008
Research report
Taking stock of today's experiences and tomorrow's opportunities
Record Nr. UNINA-9910731493603321
Bock Geoffrey <1946->  
Cambridge, Mass., : Gilbane Group, 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Collaboration in the digital age : how technology enables individuals, teams and businesses / / Kai Riemer, Stefan Schellhammer, Michaela Meinert, editors
Collaboration in the digital age : how technology enables individuals, teams and businesses / / Kai Riemer, Stefan Schellhammer, Michaela Meinert, editors
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer, , [2019]
Descrizione fisica 1 online resource (xii, 307 pages) : illustrations, charts
Disciplina 658.4038
Collana Progress in IS
Soggetto topico Teams in the workplace - Data processing
Business enterprises - Technological innovations
Management
Management information systems
ISBN 3-319-94487-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Collaboration in the Digital Age - An Introduction -- Part I: Digital Work and Team Collaboration -- Part II: Digital Networks and Inter-organisational Collaboration -- Part III: Digital Commerce and Consumer Experience.
Record Nr. UNINA-9910337800703321
Cham : , : Springer, , [2019]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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