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Business Models: Innovation, Digital Transformation, and Analytics

INNOVATION IN BUSINESS MODELS Introduction Development of the Business Model Concept Essence of Innovative Activities in the Business Model Typology of Innovative Activities in Business Models Conclusion References BUSINESS MODELS IN THE DIGITAL TRANSFORMATION ERA Introduction Theoretical Framework Digital Companies Digital Transformation Agile Methodology Business Model Results and Analysis Interviews Conclusion Acknowledgment References VALUE COMPOSITION FOR BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES Introduction Elements of the Business Model Construction Value Composition in HGEs Business Models – Empirical Researches Conclusion References THE VARIETY OF ASPECTS OF BUSINESS MODELS IN THE HIGH-GROWTH AND HIGH-TECH ENTERPRISES: AN ESTONIAN CASE Introduction The Concept of Business Model in the Context of Ecosystem Globalization in the Business Model Components of the Business Model Design Empirical Research Main Findings and Discussion Conclusion References EXTERNAL CONDITIONS OF PROFITABILITY OF BUSINESS MODELS OF HIGH-GROWTH ENTERPRISES Geographical Conditions of the Functioning of High-Growth Enterprises Financial Condition of High-Growth Enterprises in Poland The Methodology of the Assessment of Profitability of Business Models Adopted by Polish High-Growth Enterprises Cost-Effectiveness of the Business Models Adopted by High-Growth Enterprises – A Multidimensional Analysis Discussion and Conclusion References ANALYZING THE EMPLOYER BRANDING BUSINESS MODELS BASED ON PRIMARY RESEARCH RESULTS Introduction Characteristics of Generation "Z" as Workforce Method Findings What Does the Z Think about the Conditions of Entering the World of Work?What Does It Take to Have a Successful Career? "Is It Surely Only up to Us"How Can an Employer Effectively Motivate Its Z Workers?The Ranking of Drivers Influencing the Selection of Workplace, According to the Surveyed Generation Z Conclusion and Recommendations References MODELS OF RESPONSIBLE BUSINESS: CSR FROM SOCIAL AND ECONOMIC PERSPECTIVE Introduction Selected CSR Definitions in the Light of the Literature Models of Responsible Business in a Social Context CSR Models in the Economic Context Conclusion References CYBER PROTECTION: INDUSTRIALIZED ASSESSMENTS FOR ANALYZING CYBER RISK Introduction Evaluation of Technical and Business Risk Features for a Machine Learning Approach Machine Learning Algorithms for Cyber Insurance Decision-Making Process Analysis with Regression Algorithms Linear Regression Ridge Regression (L2)Lasso Regression (L1)Analysis with Classification Algorithms Logistic Regression Support Vector Machines Linear Kernel SVM Classification Gaussian RBF Kernel SVM K-Nearest Neighbors Random Forest Model Selection Conclusion References APPLIED DATA ANALYTICS Introduction Big Data Data Analytics Techniques Cyber Risk Assessments Analysis of Cyber Security-Related Data Linear Regression: Identifying Linear Dependencies Logistic Regression: When Managing Logical Parameters K-Nearest Neighbors Classifier Decision Tree Support Vector Machines Implementation of the Data Analytics Methods for the Forecast Implementation of the Data Analytics Methods for the Football Matches Forecasts Web-Oriented Tools for Data Analytics Ethics, Regulations, and Law Constraints for Data Analytics Conclusion References

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