Description
This book goese beyond revenue management topics and presents a broad range of topics in management science applications as they relate to hospitality and tourism cases. It covers data analytics, e-commerce and technology, revenue and yield management, optimization methods, resource allocation, goal programming, dynamic programming, Markov chain models, trends analysis and detection, measuring potential and attractiveness in tourism development, performance measures and use of indices in hospitality and tourism, and more. There is a heightened interest in these areas of business applications in today's data driven business environment, and this book addresses that interest.