Energy (Impact Factor: 4.84). 02/1999; 24(2):157-166. DOI: 10.1016/S0360-5442(98)00081-4
Following the oil crisis, most developed countries have increasingly implemented measures for energy conservation and fuels substitution aimed at decreasing the energy intensities of their economies. These efforts have been further augmented during the eighties due to growing awareness of adverse effects of energy use on the environment. The measures and their effectiveness differ greatly from country to country, without clear identification of the relevant cause–effect relations. We examine this issue by using a multicriteria decision aid (MCDA) method based on preference disaggregation analysis. The method used is the UTADIS (UTilités Additives DIScriminantes) method that has already been widely applied for financial management. The problem examined in this paper has been formulated following the segmentation approach where a number of countries are grouped into a set of predefined classes according to their energy intensities. The UTADIS method proceeds to the estimation of a set of additive utility functions referring to various indices characterizing the economic and energy structure of each country. The analysis is performed at 3 distinct points in time in order to check for consistency of results and investigate time-dependent phenomena. The results show to what extent each of the examined characteristics influences the countries' energy effectiveness and may be further exploited in energy-policy making. They confirm that the UTADIS method is a powerful tool for examination of a wide range of real decision situations.
"Detailed description of the mathematical programming formulation used in the UTADIS method can be found in the works of Zopounidis and Doumpos (1999) and Doumpos and Zopounidis (2002). The UTADIS method has been successfully used in several fields, such as bankruptcy prediction and credit rating (Zopounidis and Doumpos 1999), stock selection (Zopounidis et al. 1999), auditing (Spathis et al. 2003), environmental management (Diakoulaki et al. 1999), etc. "
[Show abstract][Hide abstract] ABSTRACT: The purpose of this study is to gain insight into criteria that contribute to the success in new service development (NSD)
projects in the hospitality economy. The results of the exploratory study are conducted in a precise predictive model for
the successful hotel services. The analysis is based on data collected via in depth structured interview with questionnaires
from hotel managers knowledgeable about NSD in their organization. A multicriteria methodology is used to examine the potential
of a predictive model for successful NSD projects in the hotel sector. A comparative analysis with other popular classification
methods is also performed.
Operational Research 05/2009; 9(1):17-33. DOI:10.1007/s12351-008-0025-3 · 0.31 Impact Factor
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