DEA cross‐efficiency aggregation based on preference structure and acceptability analysis

Author(s):  
Yelin Fu ◽  
Ming Li
Keyword(s):  
2017 ◽  
Vol 34 (2) ◽  
pp. 206-223 ◽  
Author(s):  
José Manuel García-Gallego ◽  
Antonio Chamorro Mera

Purpose The purpose of this paper is to determine the importance that customers give to the origin attribute when selecting a financial entity compared to other features directly related to the service that these institutions provide. In addition, this study aims at analysing what level of brand origin provides a greater utility for customers in their preference structure: regional, national or foreign. Design/methodology/approach The technique of conjoint analysis is applied via a survey of 427 customers to determine customers’ preference structure when choosing a financial entity. Findings Of particular note among the main results is the great importance the respondents give to the origin of the entity, preferring regional over national or foreign institutions. The existence of three different segments of customers based on their preference structure is also a remarkable result. Research limitations/implications Place-of-origin effect is not universal. Due to this fact, the results of the studies focussed on this research topic are difficult to extrapolate to other geographical areas. Practical implications The current situation in southern Europe financial sector obliges many small financial entities to undertake mergers in order to face the stability and solvency policies established by European Central Bank. In this sense, these institutions must decide whether or not to maintain their regional brand identity. The results of this study show the appropriateness of maintaining and communicating the regional origin of the entities. These findings will contribute to guiding decision making on brand management for financial entities. Originality/value To the best of the knowledge, there is a lack of research on the place-of-origin through different levels simultaneously. This paper provides a starting point for further research about this effect in the services sector.


Multilingua ◽  
2010 ◽  
Vol 29 (2) ◽  
pp. 185-202 ◽  
Author(s):  
Carmen Taleghani-Nikazm ◽  
Thorsten Huth
Keyword(s):  

1997 ◽  
Vol 34 (2) ◽  
pp. 286-291 ◽  
Author(s):  
V. Srinivasan ◽  
Chan Su Park

The authors introduce customized conjoint analysis, which combines self-explicated preference structure measurement with full-profile conjoint analysis. The more important attributes for each respondent are identified first using the self-explicated approach. Full-profile conjoint analysis customized to the respondent's most important attributes then is administered. The conjoint utility function on the limited set of attributes then is combined with the self-explicated utility function on the full set of attributes. Surprisingly, the authors find that the self-explicated approach by itself yields a slightly (but not statistically significantly) higher predictive validity than does the combined approach.


Author(s):  
Luis E. Castro ◽  
Yuan Ren ◽  
Nazrul I. Shaikh

This article presents a practical approach to estimate the substitution probabilities between products at a retail store by using the store's point of sale data and prospect theory based structural restrictions on the consumer choice behavior. The prospect theory-based reference dependent preference structure imposed on the consumer choice behavior (a) accounts for how consumers make their original choice as well as how they substitute, (b) eliminates the IIA and IPS assumptions that the standard utility theory based models impose on consumer choice, and (c) alleviates the need for inventory information for estimating the substitution probabilities. Simulations and empirical studies have been used to show that the estimates of the substitution probabilities are efficient and are robust to stock-out rates.


Meat Science ◽  
2005 ◽  
Vol 71 (3) ◽  
pp. 464-470 ◽  
Author(s):  
Rodolfo Bernabéu ◽  
Antonio Tendero

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