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Business Models : Innovation, Digital Transformation, and Analytics.

By: Contributor(s): Material type: TextTextSeries: Data Analytics Applications SeriesPublisher: Milton : Auerbach Publishers, Incorporated, 2020Copyright date: ©2020Edition: 1st edDescription: 1 online resource (223 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781000097771
Subject(s): Genre/Form: Additional physical formats: Print version:: Business ModelsDDC classification:
  • 658.4012
LOC classification:
  • QA76.3 .I966 2020
Online resources:
Contents:
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- PREFACE -- EDITORS' BIOGRAPHIES -- CONTRIBUTORS' BIOGRAPHIES -- ACKNOWLEDGMENTS -- CHAPTER 1: INNOVATION IN BUSINESS MODELS -- Contents -- 1.1. Introduction -- 1.2. Development of the Business Model Concept -- 1.3. Essence of Innovative Activities in the Business Model -- 1.4. Typology of Innovative Activities in Business Models -- 1.5. Conclusion -- References -- CHAPTER 2: BUSINESS MODELS IN THE DIGITAL TRANSFORMATION ERA -- Contents -- 2.1. Introduction -- 2.2. Theoretical Framework -- 2.2.1. Digital Companies -- 2.2.2. Digital Transformation -- 2.2.3. Agile Methodology -- 2.2.4. Business Model -- 2.3. Results and Analysis -- 2.3.1. Interviews -- 2.3.1.1. Analysis 1 -- 2.3.1.2. Analysis 2 -- 2.3.1.3. Analysis 3 -- 2.3.1.4. Interviews Analysis -- 2.4. Conclusion -- Acknowledgment -- References -- CHAPTER 3: VALUE COMPOSITION FOR BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES -- Contents -- 3.1. Introduction -- 3.2. Elements of the Business Model Construction -- 3.3. Value Composition in HGEs Business Models - Empirical Researches -- 3.4. Conclusion -- References -- CHAPTER 4: THE VARIETY OF ASPECTS OF BUSINESS MODELS IN THE HIGH-GROWTH AND HIGH-TECH ENTERPRISES: AN ESTONIAN CASE -- Contents -- 4.1. Introduction -- 4.2. The Concept of Business Model in the Context of Ecosystem -- 4.3. Globalization in the Business Model -- 4.4. Components of the Business Model Design -- 4.5. Empirical Research -- 4.6. Main Findings and Discussion -- 4.7. Conclusion -- References -- CHAPTER 5: EXTERNAL CONDITIONS OF PROFITABILITY OF BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES -- Contents -- 5.1. Geographical Conditions of the Functioning of High-Growth Enterprises -- 5.2. Financial Condition of High-Growth Enterprises in Poland.
5.3. The Methodology of the Assessment of Profitability of Business Models Adopted by Polish High-Growth Enterprises -- 5.4. Cost-Effectiveness of the Business Models Adopted by High-Growth Enterprises - A Multidimensional Analysis -- 5.5. Discussion and Conclusion -- References -- CHAPTER 6: ANALYZING THE EMPLOYER BRANDING BUSINESS MODELS BASED ON PRIMARY RESEARCH RESULTS -- Contents -- 6.1. Introduction -- 6.1.1. Veteran Generation -- 6.1.2. Baby-Boomer Generation -- 6.1.3. Generation X -- 6.1.4. Generation Y -- 6.1.5. Generation Z -- 6.2. Characteristics of Generation "Z" as Workforce -- 6.3. Method -- 6.4. Findings -- 6.4.1. What Does the Z Think about the Conditions of Entering the World of Work? -- 6.4.2. What Does It Take to Have a Successful Career? "Is It Surely Only up to Us? -- 6.4.3. How Can an Employer Effectively Motivate Its Z Workers? -- 6.4.4. The Ranking of Drivers Influencing the Selection of Workplace, According to the Surveyed Generation Z -- 6.5. Conclusion and Recommendations -- References -- CHAPTER 7: MODELS OF RESPONSIBLE BUSINESS: CSR FROM SOCIAL AND ECONOMIC PERSPECTIVE -- Contents -- 7.1. Introduction -- 7.2. Selected CSR Definitions in the Light of the Literature -- 7.3. Models of Responsible Business in a Social Context -- 7.4. CSR Models in the Economic Context -- 7.5. Conclusion -- References -- CHAPTER 8: CYBER PROTECTION: INDUSTRIALIZED ASSESSMENTS FOR ANALYZING CYBER RISK -- Contents -- 8.1. Introduction -- 8.2. Evaluation of Technical and Business Risk Features for a Machine Learning Approach -- 8.3. Machine Learning Algorithms for Cyber Insurance Decision-Making Process -- 8.3.1. Analysis with Regression Algorithms -- 8.3.2. Linear Regression -- 8.3.3. Ridge Regression (L2) -- 8.3.4. Lasso Regression (L1) -- 8.3.5. Analysis with Classification Algorithms -- 8.3.6. Logistic Regression.
8.3.7. Support Vector Machines -- 8.3.8. Linear Kernel SVM Classification -- 8.3.9. Gaussian RBF Kernel SVM -- 8.3.10. K-Nearest Neighbors -- 8.3.11. Random Forest -- 8.4. Model Selection -- 8.5. Conclusion -- References -- CHAPTER 9: APPLIED DATA ANALYTICS -- Contents -- 9.1. Introduction -- 9.2. Big Data -- 9.3. Data Analytics Techniques -- 9.4. Cyber Risk Assessments -- 9.4.1. Analysis of Cyber Security-Related Data -- 9.4.2. Linear Regression: Identifying Linear Dependencies -- 9.4.3. Logistic Regression: When Managing Logical Parameters -- 9.4.4. K-Nearest Neighbors Classifier -- 9.4.5. Decision Tree -- 9.4.6. Support Vector Machines -- 9.5. Implementation of the Data Analytics Methods for the Forecast -- 9.6. Implementation of the Data Analytics Methods for the Football Matches Forecasts -- 9.7. Web-Oriented Tools for Data Analytics -- 9.8. Ethics, Regulations, and Law Constraints for Data Analytics -- 9.9. Conclusion -- References -- INDEX.
Summary: The purpose of this book is to show how high-growth enterprises create their business models. To illustrate the background of this topic, the concepts of business models existing in the literature are presented along with their perspective on further development and external conditions that affect them.
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Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- PREFACE -- EDITORS' BIOGRAPHIES -- CONTRIBUTORS' BIOGRAPHIES -- ACKNOWLEDGMENTS -- CHAPTER 1: INNOVATION IN BUSINESS MODELS -- Contents -- 1.1. Introduction -- 1.2. Development of the Business Model Concept -- 1.3. Essence of Innovative Activities in the Business Model -- 1.4. Typology of Innovative Activities in Business Models -- 1.5. Conclusion -- References -- CHAPTER 2: BUSINESS MODELS IN THE DIGITAL TRANSFORMATION ERA -- Contents -- 2.1. Introduction -- 2.2. Theoretical Framework -- 2.2.1. Digital Companies -- 2.2.2. Digital Transformation -- 2.2.3. Agile Methodology -- 2.2.4. Business Model -- 2.3. Results and Analysis -- 2.3.1. Interviews -- 2.3.1.1. Analysis 1 -- 2.3.1.2. Analysis 2 -- 2.3.1.3. Analysis 3 -- 2.3.1.4. Interviews Analysis -- 2.4. Conclusion -- Acknowledgment -- References -- CHAPTER 3: VALUE COMPOSITION FOR BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES -- Contents -- 3.1. Introduction -- 3.2. Elements of the Business Model Construction -- 3.3. Value Composition in HGEs Business Models - Empirical Researches -- 3.4. Conclusion -- References -- CHAPTER 4: THE VARIETY OF ASPECTS OF BUSINESS MODELS IN THE HIGH-GROWTH AND HIGH-TECH ENTERPRISES: AN ESTONIAN CASE -- Contents -- 4.1. Introduction -- 4.2. The Concept of Business Model in the Context of Ecosystem -- 4.3. Globalization in the Business Model -- 4.4. Components of the Business Model Design -- 4.5. Empirical Research -- 4.6. Main Findings and Discussion -- 4.7. Conclusion -- References -- CHAPTER 5: EXTERNAL CONDITIONS OF PROFITABILITY OF BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES -- Contents -- 5.1. Geographical Conditions of the Functioning of High-Growth Enterprises -- 5.2. Financial Condition of High-Growth Enterprises in Poland.

5.3. The Methodology of the Assessment of Profitability of Business Models Adopted by Polish High-Growth Enterprises -- 5.4. Cost-Effectiveness of the Business Models Adopted by High-Growth Enterprises - A Multidimensional Analysis -- 5.5. Discussion and Conclusion -- References -- CHAPTER 6: ANALYZING THE EMPLOYER BRANDING BUSINESS MODELS BASED ON PRIMARY RESEARCH RESULTS -- Contents -- 6.1. Introduction -- 6.1.1. Veteran Generation -- 6.1.2. Baby-Boomer Generation -- 6.1.3. Generation X -- 6.1.4. Generation Y -- 6.1.5. Generation Z -- 6.2. Characteristics of Generation "Z" as Workforce -- 6.3. Method -- 6.4. Findings -- 6.4.1. What Does the Z Think about the Conditions of Entering the World of Work? -- 6.4.2. What Does It Take to Have a Successful Career? "Is It Surely Only up to Us? -- 6.4.3. How Can an Employer Effectively Motivate Its Z Workers? -- 6.4.4. The Ranking of Drivers Influencing the Selection of Workplace, According to the Surveyed Generation Z -- 6.5. Conclusion and Recommendations -- References -- CHAPTER 7: MODELS OF RESPONSIBLE BUSINESS: CSR FROM SOCIAL AND ECONOMIC PERSPECTIVE -- Contents -- 7.1. Introduction -- 7.2. Selected CSR Definitions in the Light of the Literature -- 7.3. Models of Responsible Business in a Social Context -- 7.4. CSR Models in the Economic Context -- 7.5. Conclusion -- References -- CHAPTER 8: CYBER PROTECTION: INDUSTRIALIZED ASSESSMENTS FOR ANALYZING CYBER RISK -- Contents -- 8.1. Introduction -- 8.2. Evaluation of Technical and Business Risk Features for a Machine Learning Approach -- 8.3. Machine Learning Algorithms for Cyber Insurance Decision-Making Process -- 8.3.1. Analysis with Regression Algorithms -- 8.3.2. Linear Regression -- 8.3.3. Ridge Regression (L2) -- 8.3.4. Lasso Regression (L1) -- 8.3.5. Analysis with Classification Algorithms -- 8.3.6. Logistic Regression.

8.3.7. Support Vector Machines -- 8.3.8. Linear Kernel SVM Classification -- 8.3.9. Gaussian RBF Kernel SVM -- 8.3.10. K-Nearest Neighbors -- 8.3.11. Random Forest -- 8.4. Model Selection -- 8.5. Conclusion -- References -- CHAPTER 9: APPLIED DATA ANALYTICS -- Contents -- 9.1. Introduction -- 9.2. Big Data -- 9.3. Data Analytics Techniques -- 9.4. Cyber Risk Assessments -- 9.4.1. Analysis of Cyber Security-Related Data -- 9.4.2. Linear Regression: Identifying Linear Dependencies -- 9.4.3. Logistic Regression: When Managing Logical Parameters -- 9.4.4. K-Nearest Neighbors Classifier -- 9.4.5. Decision Tree -- 9.4.6. Support Vector Machines -- 9.5. Implementation of the Data Analytics Methods for the Forecast -- 9.6. Implementation of the Data Analytics Methods for the Football Matches Forecasts -- 9.7. Web-Oriented Tools for Data Analytics -- 9.8. Ethics, Regulations, and Law Constraints for Data Analytics -- 9.9. Conclusion -- References -- INDEX.

The purpose of this book is to show how high-growth enterprises create their business models. To illustrate the background of this topic, the concepts of business models existing in the literature are presented along with their perspective on further development and external conditions that affect them.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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