Building business models with machine learning.:
"Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competiti...
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| Other Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Series: | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | "Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models."-- |
| Physical Description: | 19 PDFs (308 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369338858 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
Staff View
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| 245 | 0 | 0 | |a Building business models with machine learning. |c Ambika N., Cristian González Garcia, Vishal Jain, Dac-Nhuong Le, editors. |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2025. | |
| 300 | |a 19 PDFs (308 Seiten) | ||
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| 338 | |a online resource |2 rdacarrier | ||
| 490 | 1 | |a Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface -- Chapter 1. A Detailed Investigation on Online Financial Fraud Detection Using Machine Learning Algorithms -- Chapter 2. Abusive Language in Twitter's Tweets by Sentimental Analysis -- Chapter 3. An Investigation on the Barriers Preventing Artificial Intelligence From Being Widely Used in Social, Governance, and Environmental Activities -- Chapter 4. Business Analysis for Digital Transformation Initiatives: A Bridge Between Strategy and Execution -- Chapter 5. Business Analytics in Business Models -- Chapter 6. Business Analytics on Business Models -- Chapter 7. Dynamic Pricing Strategies Implementing Machine Learning Algorithms in E-Commerce -- Chapter 8. Enhancing Solar PV-Fuel Cell Hybrid Systems Through AI-Driven Performance Optimization -- Chapter 9. Green Financing Effect on Sustenance Finance Models With Mediation of Corporate Social Responsibility in Ethiopia -- Chapter 10. Importance and Application of Machine Learning and Pattern Recognition in Business Intelligence Models to Transform the Real World for Decision-Making -- Chapter 11. Machine Learning-Based Framework for Human Activity Recognition -- Chapter 12. Revolutionizing Business Models Through Data-Driven Innovation: The Case of Hudi -- Chapter 13. Unlocking Financial Potential: How ML Recommendation Systems Are Transforming Banking and Finance -- Compilation of References -- About the Contributors -- Index. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models."-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 12/09/2024). | ||
| 650 | 0 | |a Business |x Data processing. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Organizational learning. | |
| 653 | |a Behavior Finance on Sustainable Financing. | ||
| 653 | |a Business Analytics in Models. | ||
| 653 | |a Carbon Financing. | ||
| 653 | |a Climate Financing. | ||
| 653 | |a Developing Financing Instruments. | ||
| 653 | |a Energy Financing. | ||
| 653 | |a Federated Learning for Health Management. | ||
| 653 | |a Frameworks for Sustainable Financing. | ||
| 653 | |a Governance of Financing and Investing. | ||
| 653 | |a Green Financing. | ||
| 653 | |a Impact Investing in Models. | ||
| 653 | |a ML in Healthcare. | ||
| 653 | |a ML Recommendation System for Finance. | ||
| 653 | |a Sustainability in Models. | ||
| 653 | |a Traffic Time Series Deep Learning. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Gonzalez Garcia, Cristian |d 1985- |e editor. | |
| 700 | 1 | |a Jain, Vishal |d 1983- |e editor. | |
| 700 | 1 | |a Le, Dac-Nhuong |d 1983- |e editor. | |
| 700 | 1 | |a N., Ambika |d 1976- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | 8 | |i Print version: |z 9798369338841 |
| 830 | 0 | |a Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series. | |
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| contents | Preface -- Chapter 1. A Detailed Investigation on Online Financial Fraud Detection Using Machine Learning Algorithms -- Chapter 2. Abusive Language in Twitter's Tweets by Sentimental Analysis -- Chapter 3. An Investigation on the Barriers Preventing Artificial Intelligence From Being Widely Used in Social, Governance, and Environmental Activities -- Chapter 4. Business Analysis for Digital Transformation Initiatives: A Bridge Between Strategy and Execution -- Chapter 5. Business Analytics in Business Models -- Chapter 6. Business Analytics on Business Models -- Chapter 7. Dynamic Pricing Strategies Implementing Machine Learning Algorithms in E-Commerce -- Chapter 8. Enhancing Solar PV-Fuel Cell Hybrid Systems Through AI-Driven Performance Optimization -- Chapter 9. Green Financing Effect on Sustenance Finance Models With Mediation of Corporate Social Responsibility in Ethiopia -- Chapter 10. Importance and Application of Machine Learning and Pattern Recognition in Business Intelligence Models to Transform the Real World for Decision-Making -- Chapter 11. Machine Learning-Based Framework for Human Activity Recognition -- Chapter 12. Revolutionizing Business Models Through Data-Driven Innovation: The Case of Hudi -- Chapter 13. Unlocking Financial Potential: How ML Recommendation Systems Are Transforming Banking and Finance -- Compilation of References -- About the Contributors -- Index. |
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| format | Electronic eBook |
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| genre | Electronic books. |
| genre_facet | Electronic books. |
| id | ZDB-98-IGB-00337734 |
| illustrated | Not Illustrated |
| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369338858 |
| language | English |
| oclc_num | 1452395090 |
| open_access_boolean | |
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| owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
| physical | 19 PDFs (308 Seiten) Also available in print. |
| psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
| publishDate | 2025 |
| publishDateSearch | 2025 |
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| publisher | IGI Global |
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| series | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series. |
| series2 | Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series |
| spelling | Building business models with machine learning. Ambika N., Cristian González Garcia, Vishal Jain, Dac-Nhuong Le, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 19 PDFs (308 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series Includes bibliographical references and index. Preface -- Chapter 1. A Detailed Investigation on Online Financial Fraud Detection Using Machine Learning Algorithms -- Chapter 2. Abusive Language in Twitter's Tweets by Sentimental Analysis -- Chapter 3. An Investigation on the Barriers Preventing Artificial Intelligence From Being Widely Used in Social, Governance, and Environmental Activities -- Chapter 4. Business Analysis for Digital Transformation Initiatives: A Bridge Between Strategy and Execution -- Chapter 5. Business Analytics in Business Models -- Chapter 6. Business Analytics on Business Models -- Chapter 7. Dynamic Pricing Strategies Implementing Machine Learning Algorithms in E-Commerce -- Chapter 8. Enhancing Solar PV-Fuel Cell Hybrid Systems Through AI-Driven Performance Optimization -- Chapter 9. Green Financing Effect on Sustenance Finance Models With Mediation of Corporate Social Responsibility in Ethiopia -- Chapter 10. Importance and Application of Machine Learning and Pattern Recognition in Business Intelligence Models to Transform the Real World for Decision-Making -- Chapter 11. Machine Learning-Based Framework for Human Activity Recognition -- Chapter 12. Revolutionizing Business Models Through Data-Driven Innovation: The Case of Hudi -- Chapter 13. Unlocking Financial Potential: How ML Recommendation Systems Are Transforming Banking and Finance -- Compilation of References -- About the Contributors -- Index. Restricted to subscribers or individual electronic text purchasers. "Organizations worldwide grapple with the complexities of incorporating machine learning into their business models while ensuring sustainability. Decision-makers, data scientists, and business executives face the challenge of navigating this terrain to drive innovation and maintain a competitive edge. Building Business Models with Machine Learning provides a comprehensive solution, offering practical insights and strategies for integrating machine learning into organizational plans. By bridging the gap between theory and practice, we empower readers to leverage machine learning effectively, enabling them to develop resilient and flexible business models. The book serves as a vital resource for those seeking to understand the nuances of sustainable management in a volatile, uncertain, complex, and ambiguous (VUCA) world. It addresses key challenges such as irrational decision-making and the need for adaptive systems in modern business environments. Through a combination of theoretical frameworks and empirical research findings, our book equips readers with the knowledge and tools needed to navigate these challenges successfully. Whether you are a seasoned professional, a postgraduate MBA program, or a managerial sciences student, this book offers invaluable insights that will significantly enhance your understanding and application of machine learning in business models."-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/09/2024). Business Data processing. Machine learning. Organizational learning. Behavior Finance on Sustainable Financing. Business Analytics in Models. Carbon Financing. Climate Financing. Developing Financing Instruments. Energy Financing. Federated Learning for Health Management. Frameworks for Sustainable Financing. Governance of Financing and Investing. Green Financing. Impact Investing in Models. ML in Healthcare. ML Recommendation System for Finance. Sustainability in Models. Traffic Time Series Deep Learning. Electronic books. Gonzalez Garcia, Cristian 1985- editor. Jain, Vishal 1983- editor. Le, Dac-Nhuong 1983- editor. N., Ambika 1976- editor. IGI Global, publisher. Print version: 9798369338841 Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series. |
| spellingShingle | Building business models with machine learning. Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series. Preface -- Chapter 1. A Detailed Investigation on Online Financial Fraud Detection Using Machine Learning Algorithms -- Chapter 2. Abusive Language in Twitter's Tweets by Sentimental Analysis -- Chapter 3. An Investigation on the Barriers Preventing Artificial Intelligence From Being Widely Used in Social, Governance, and Environmental Activities -- Chapter 4. Business Analysis for Digital Transformation Initiatives: A Bridge Between Strategy and Execution -- Chapter 5. Business Analytics in Business Models -- Chapter 6. Business Analytics on Business Models -- Chapter 7. Dynamic Pricing Strategies Implementing Machine Learning Algorithms in E-Commerce -- Chapter 8. Enhancing Solar PV-Fuel Cell Hybrid Systems Through AI-Driven Performance Optimization -- Chapter 9. Green Financing Effect on Sustenance Finance Models With Mediation of Corporate Social Responsibility in Ethiopia -- Chapter 10. Importance and Application of Machine Learning and Pattern Recognition in Business Intelligence Models to Transform the Real World for Decision-Making -- Chapter 11. Machine Learning-Based Framework for Human Activity Recognition -- Chapter 12. Revolutionizing Business Models Through Data-Driven Innovation: The Case of Hudi -- Chapter 13. Unlocking Financial Potential: How ML Recommendation Systems Are Transforming Banking and Finance -- Compilation of References -- About the Contributors -- Index. Business Data processing. Machine learning. Organizational learning. |
| title | Building business models with machine learning. |
| title_auth | Building business models with machine learning. |
| title_exact_search | Building business models with machine learning. |
| title_full | Building business models with machine learning. Ambika N., Cristian González Garcia, Vishal Jain, Dac-Nhuong Le, editors. |
| title_fullStr | Building business models with machine learning. Ambika N., Cristian González Garcia, Vishal Jain, Dac-Nhuong Le, editors. |
| title_full_unstemmed | Building business models with machine learning. Ambika N., Cristian González Garcia, Vishal Jain, Dac-Nhuong Le, editors. |
| title_short | Building business models with machine learning. |
| title_sort | building business models with machine learning |
| topic | Business Data processing. Machine learning. Organizational learning. |
| topic_facet | Business Data processing. Machine learning. Organizational learning. Electronic books. |
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