Revenue management;
Revenue opportunity model;
Static single resource model;
Efficiency measurement;
Random portfolios;
D O I:
10.1057/s41272-022-00387-6
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
New measure for revenue management efficiency based on the information ratio of the analyst decisions is introduced. Compared to the often-used revenue opportunity models based on greedy upper and lower revenues this measure is defined for all demand levels and inherently expresses the effect of demand forecast errors. In this study, we consider Gaussian demand vector with possibly non-zero covariance, although the model translates to any demand distribution.
机构:
Operations Management, School of Hotel Administration, Cornell University SC Johnson College of Business, Ithaca, NYOperations Management, School of Hotel Administration, Cornell University SC Johnson College of Business, Ithaca, NY
Kimes S.E.
Ho J.
论文数: 0引用数: 0
h-index: 0
机构:
AccorHotels Luxury Division, Raffles Brand & Strategic Relationships, SingaporeOperations Management, School of Hotel Administration, Cornell University SC Johnson College of Business, Ithaca, NY
机构:
IBM Corp, Global Business Serv, 71 S Wacker Dr, Chicago, IL 60606 USAIBM Corp, Global Business Serv, 71 S Wacker Dr, Chicago, IL 60606 USA
Karadjov, Yuri
Farahmand, Mehran
论文数: 0引用数: 0
h-index: 0
机构:
IBM Corp, Global Business Serv, 71 S Wacker Dr, Chicago, IL 60606 USA
IBM Corp, Retail Optimisat Practice, Chicago, IL 60606 USAIBM Corp, Global Business Serv, 71 S Wacker Dr, Chicago, IL 60606 USA