Economic Value and Revenue Management Systems An Integrated Business Management Mode 11stedtion by Alessandro Capocchi ISBN ‎ 3030024164 978-3030024161

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ISBN 10: ‎ 3030024164
ISBN 13:  978-3030024161
Author: Alessandro Capocchi

Filling a gap in existing literature on revenue management systems, this book explores the use of business strategies which are specifically designed to have a positive impact on economic and financial efficiency. Focussing on services within the tourism industry, the author takes a new approach and identifies dynamic pricing and service differentiation as key components of strategic management. Providing fresh insights into an ever-expanding sector, this book will be a useful tool for those studying business strategy and management, as well as value creation theory, as it ultimately presents an integrated business management model which will ensure sustainability.

Economic Value & Revenue Management Systems An Integrated Business Management Mode 1st Table of contents:

• Introduction: The Need for Revenue Management

  • Overview of revenue management: Definitions and core concepts
  • Historical evolution of revenue management and its economic impact
  • The integration of economic value and revenue management in modern business
  • Structure and objectives of the book

• Chapter 1: Economic Value and Its Role in Business

  • Defining economic value: Value creation, capture, and delivery
  • The concept of value in different industries: hospitality, transportation, retail
  • How businesses assess and measure economic value
  • The relationship between pricing, demand, and perceived value

• Chapter 2: Introduction to Revenue Management

  • The foundations of revenue management: Principles and practices
  • The role of supply and demand in revenue optimization
  • Key components of revenue management systems (RMS)
  • Benefits and challenges of implementing RMS across industries

• Chapter 3: The Economics of Pricing

  • Pricing strategies and the economic principles behind them
  • Dynamic pricing: Adjusting prices based on real-time demand and market conditions
  • Price elasticity and its impact on revenue optimization
  • Price discrimination and segment-based pricing models

• Chapter 4: Forecasting Demand and Capacity Management

  • Methods for demand forecasting in revenue management
  • Techniques for managing capacity and availability to optimize revenues
  • The role of historical data and predictive analytics in demand forecasting
  • Integrating forecasting models with pricing strategies

• Chapter 5: The Integration of Technology in Revenue Management Systems

  • The role of technology in modern revenue management practices
  • How software and data analytics tools enable dynamic pricing and decision-making
  • The use of machine learning and AI in enhancing revenue management systems
  • Case studies of RMS technology implementation in various industries

• Chapter 6: Revenue Management in the Hospitality Industry

  • The unique challenges and opportunities in hotel and lodging revenue management
  • Strategies for room pricing, overbooking, and managing booking channels
  • Integrating RMS with customer relationship management (CRM) systems
  • Case studies of successful revenue management in the hospitality sector

• Chapter 7: Revenue Management in the Airline Industry

  • How airlines use RMS to optimize ticket pricing and seat allocation
  • Managing capacity and yield in the airline industry
  • The role of ancillary revenue streams in optimizing total revenue
  • Challenges of revenue management in a highly competitive, low-margin industry

• Chapter 8: Revenue Management in Retail and E-Commerce

  • The application of RMS in the retail sector: from physical stores to online platforms
  • Dynamic pricing and inventory management for maximizing sales
  • Personalization and targeted promotions based on consumer data
  • The growing role of omnichannel strategies in retail revenue management

• Chapter 9: Integrating Economic Value with Revenue Management Systems

  • Aligning revenue management strategies with the overall economic value proposition
  • How to integrate customer lifetime value (CLV) into pricing and inventory decisions
  • Managing trade-offs between short-term profits and long-term value creation
  • Ensuring consistency between brand positioning and revenue management tactics

• Chapter 10: Advanced Revenue Management Strategies

  • Advanced pricing strategies: bundling, versioning, and yield management
  • The role of segmentation and customer profiling in maximizing revenue
  • Using data science and optimization models for advanced decision-making
  • The impact of external factors (economy, competitors, regulations) on revenue strategies

• Chapter 11: Ethical and Legal Considerations in Revenue Management

  • Ethical dilemmas in dynamic pricing and revenue optimization
  • Consumer perceptions of price discrimination and fairness in RMS
  • Legal constraints and regulations affecting revenue management strategies
  • Best practices for balancing profitability with ethical and legal responsibilities

• Chapter 12: Future Trends in Revenue Management Systems

  • The future of revenue management: Artificial intelligence, automation, and real-time data
  • The impact of blockchain technology on pricing transparency and revenue optimization
  • The growing role of big data analytics and Internet of Things (IoT) in enhancing RMS
  • The convergence of revenue management systems and customer experience management

• Chapter 13: Case Studies: Successful Implementation of Revenue Management

  • Case study 1: Airline revenue management and its impact on profitability
  • Case study 2: Hotel industry innovations in dynamic pricing and capacity management
  • Case study 3: Retail revenue management and e-commerce strategies in the digital age
  • Case study 4: Cross-industry lessons learned from implementing RMS

• Conclusion: The Future of Integrated Revenue Management

  • Key takeaways for managers and businesses in optimizing economic value and revenue
  • The role of technology and data in driving the future of revenue management
  • Final thoughts on creating a sustainable and profitable revenue management system
  • Recommendations for businesses seeking to adopt or improve RMS

• References

• Index

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