Purpose This paper aims to investigate efficiency in the UK hotel industry and further evaluate impacts of characteristics environment on efficiency. Design/methodology/approach The network data envelopment (DEA) weak link approach is used for analysis, while determinants are evaluated by bootstrapped truncated regression. Findings findings show that very inefficient. results overall deconstruction second-stage production process experiences an even lower level than first stage. second-phase...

We present in this paper a network DEA approach to deal with efficiency assessments two-stage processes. Our complies the composition paradigm, where efficiencies of stages are estimated without prior definition overall system. The is obtained by aggregating stage posteriori. use multi-objective programming as modeling framework. This provides us means assess unique and neutral scores. apply our assessment academic performance forty faculty members Greek University.

In real applications of data envelopment analysis (DEA), there are a number pitfalls that could have major influence on the efficiency. Some these avoidable and others remain problematic. One most important researchers confront is closeness operational units inputs outputs. performance measurement using DEA, two numbers yield large efficient units. this article, some or outputs will be aggregated reduced iteratively. Numerical examples show in comparison to single DEA method, our approach...

Abstract Ordinal regression analysis is proposed as a means for evaluating banking performance over multiple attributes in the presence of non‐monotonic preferences. First, multivariate statistical applied to measure on basis financial ratios that derive from study statements sample Greek banks period 1989–1992. Then, an additive utility model assessed obtain final ranking representative banks.

We deal with the problem of priority elicitation in analytic hierarchy process (AHP) on basis imprecise pair-wise comparison judgements decision elements. propose a min–max goal programming formulation to derive AHP priorities case that maker provides preference form interval numbers. By applying variable transformations, we formulate linear model is capable estimating from both consistent and inconsistent judgements. The proposed method illustrated by numerical examples.

An increasing number of websites, such as Trip Advisor, reflecting the multilateral nature their products, provide visitors with possibility to evaluate each item on more than one criterion. The rating scale used usually is represented by a lexical or symbolic scale, five-star system. Such scales can be regarded interval because semantics convey information about strength user preferences in addition order. In this paper we present I-Rec, new multi-criteria, model-based recommender system...

A two-stage production process assumes that the first stage transforms external inputs to a number of intermediate measures, which then are used as second produces final outputs. The fundamental approaches DEA multiplicative and additive efficiency-decomposition approaches. Both they assume series relationship between two stages but differ in definition overall system efficiency well way conceptualize decomposition efficiencies individual stages. In this paper, we present novel approach...

Many websites provide visitors with the possibility to evaluate each item on more than one criteria. A commonly used rating scale is five-star system or similar linguistic scales. Such scales are ordinal but symbolic lexical semantics convey information about strength of user references in addition order rated items. We refer such as discrete ordered present AHP-Rec a method that treats ratings interval data and uses multi-criteria approach for deriving predictions ratings. use provided by...