Open AccessEVALUATING HOTEL ADVERTISEMENTS EFFICIENCY USING DATA ENVELOPMENT ANALYSIS
Author(s) -
Yossi Hadad,
Lea Friedman,
Aviad A. Israeli
Publication year - 2004
Publication title -
journal of business economics and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.485
H-Index - 37
eISSN - 1611-1699
pISSN - 2029-4433
DOI - 10.3846/16111699.2004.9636077
Subject(s) - ranking (information retrieval) , data envelopment analysis , decision maker , context (archaeology) , computer science , ranking svm , operations research , data mining , statistics , mathematics , machine learning , geography , archaeology
This paper introduces popular methods for ranking alternatives with multiple inputs and multiple outputs in the DEA context. The ranking methods are based on different criteria. Consequently, the ranking of the alternatives are not always the same, particularly as regards the best alternative. The decision maker, however, must make an absolute decision as to the most favored alternative. This study proposes a new ranking method, which is based on the average of the highly correlated ranking method. The new method is applied on a case study of ranking hotels in Israel.