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Indigo Dynamic Pricing: Economics, Algorithms and Market Design | Erin Mills Town Centre
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This textbook provides a comprehensive and rigorously structured analysis of Dynamic Pricing-the practice of flexibly adjusting prices based on real-time market conditions, demand patterns, and competitive dynamics. The book's primary subject is the shift from traditional, cost-plus pricing to algorithmic, data-driven optimization across eighteen distinct industry contexts. It synthesizes economic theory, mathematical modeling, and empirical evidence to establish a unified framework for understanding how value is created, exchanged, and captured in the modern, hyper-competitive economy. The work's special feature lies in its didactic, applied approach. The content is structured logically, moving from general economic principles to specific mathematical frameworks before analyzing extensive real-world case studies (e.g., Singapore's ERP, the WeWork model, the T-Mobile 'Un-carrier' disruption). Each chapter includes robust Discussion Questions and Quantitative Exercises designed for both classroom use and self-study, allowing readers to apply the complex models directly. The extensive use of mathematical notation (integrals, optimization functions, game-theoretic equations) ensures academic rigor while supporting practical application.
This textbook provides a comprehensive and rigorously structured analysis of Dynamic Pricing-the practice of flexibly adjusting prices based on real-time market conditions, demand patterns, and competitive dynamics. The book's primary subject is the shift from traditional, cost-plus pricing to algorithmic, data-driven optimization across eighteen distinct industry contexts. It synthesizes economic theory, mathematical modeling, and empirical evidence to establish a unified framework for understanding how value is created, exchanged, and captured in the modern, hyper-competitive economy. The work's special feature lies in its didactic, applied approach. The content is structured logically, moving from general economic principles to specific mathematical frameworks before analyzing extensive real-world case studies (e.g., Singapore's ERP, the WeWork model, the T-Mobile 'Un-carrier' disruption). Each chapter includes robust Discussion Questions and Quantitative Exercises designed for both classroom use and self-study, allowing readers to apply the complex models directly. The extensive use of mathematical notation (integrals, optimization functions, game-theoretic equations) ensures academic rigor while supporting practical application.
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