Choice-Based Revenue Management with Applications to Hotels

Stok Kodu:
9786257033107
Boyut:
160-235-0
Sayfa Sayısı:
94
Basım Yeri:
İstanbul
Baskı:
1
Basım Tarihi:
2019-12-21
Kapak Türü:
Karton
Kağıt Türü:
2.Hamur
Dili:
İngilizce
8,82
9786257033107
543355
Choice-Based Revenue Management with Applications to Hotels
Choice-Based Revenue Management with Applications to Hotels
8.82
Intense competition, fast changing technology, increased and diverse customer demand, and fast and reliable services and goods delivery expectations have reduced the profit margins for products. To be able to obtain a sustainable economic success, companies search for ways to offer the existing products via innovative ways. Revenue management is a tool that helps firms in this purpose. On the other hand, to match and even exceed customer anticipations, firms need to understand customer preferences and offer products accordingly. Customers can now reach wide range of competitor products due to online services. Hence it became much more important to apprehend and integrate customer choices into decision support tools. At this point, choice models are used to mathematically understand the customer choice preferences among a set of presented alternatives. This book combines revenue management and choice models to present a methodology to understand customer choices and integrate these to revenue management methods to be able to offer the best set of products to the customers. Also real life applications for hotels have been presented for different methods that are discussed and also proposed in this book with respective algorithms. When combined with decision support tools, concepts presented in this book offers a significant revenue increase for companies.
Intense competition, fast changing technology, increased and diverse customer demand, and fast and reliable services and goods delivery expectations have reduced the profit margins for products. To be able to obtain a sustainable economic success, companies search for ways to offer the existing products via innovative ways. Revenue management is a tool that helps firms in this purpose. On the other hand, to match and even exceed customer anticipations, firms need to understand customer preferences and offer products accordingly. Customers can now reach wide range of competitor products due to online services. Hence it became much more important to apprehend and integrate customer choices into decision support tools. At this point, choice models are used to mathematically understand the customer choice preferences among a set of presented alternatives. This book combines revenue management and choice models to present a methodology to understand customer choices and integrate these to revenue management methods to be able to offer the best set of products to the customers. Also real life applications for hotels have been presented for different methods that are discussed and also proposed in this book with respective algorithms. When combined with decision support tools, concepts presented in this book offers a significant revenue increase for companies.
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