This paper aims to compare relative efficiency of the knowledge triangle policy in 25 EU member states providing evidence on the knowledge triangle technical efficiency calculated relying on output-oriented Data Envelopment Analysis (DEA) model assuming variable returns to scale (VRS). Moreover, the knowledge triangle efficiency indices are calculated, utilising the concept of actual and target...

In productivity and efficiency analysis, the technical efficiency of a production unit is measured through its distance to the efficient frontier of the production set. The most familiar non-parametric methods use Farrell-Debreu, Shephard, or hyperbolic radial measures. These approaches require that inputs and outputs be non-negative, which can be problematic when using financial data. Recently...

Effectiveness involves more than simple efficiency, which is limited to the production process assessment of peer operational units. Effectiveness incorporates both endogenous and exogenous variables. It is a fundamental driver for the success of an operational unit within a competitive environment in which either the liquidity of money in the market and the customers are considered to be scarc...

Amiodarone (AMD)-induced pulmonary toxicity (AIPT) is the most life-threatening side-effect of AMD treatment. N-Monodesethylamiodarone (DEA), an active metabolite of AMD, also exhibits cytotoxicity and tends to accumulate in the lung more intensively than AMD. In this study, we characterized the mechanism of DEA accumulation using A549 cells as a model of the alveolar epithelium. Typical ATP-de...

Seaports are important infrastructures to support international trade. Therefore, it is vital that port efficiency and productivity continuously evaluated improved. In this context, the objective of article evaluate both technical change in six most Tunisian commercial seaports, Bizerte, Rades, Sousse, Sfax, Gabes, Zarzis, over a period twelve years from 2005 2016. To achieve objective, data en...

The conventional Data Envelopment Analysis (DEA) model considers Decision Making Units (DMUs) as a black box, meaning that these models do not consider the connection and the inner structures of DMUs. Moreover, these models consider that the activities of DMUs in each time are independent of other times, but in the real world, the inner structures of DMUs are complicated, and the activities of ...

Lovell and Rouse (LR) have recently proposed a modification of the standard DEA model that overcomes the infeasibility problem often encountered in computing super-efficiency. In the LR procedure one appropriately scales up the observed input vector (scale down the output vector) of the relevant superefficient firm thereby usually creating its inefficient surrogate. An alternative procedure pro...

In this paper, we discuss the relationship between multi-attribute utility theory and DEA models without explicit inputs (DEA-WEI), including dual models and some theoretical analysis of DEA-WEI models. We then propose generic DEA-WEI models with quadratic utility terms. Finally, we provide illustrative examples to show that DEA-WEI with suitable quadratic utility terms are able to reflect some...

This paper aims to evaluate the operating efficiency of e-market for exploring the efficiency-oriented critical drivers on the development of e-market. A hybrid approach consisting of data envelopment analysis (DEA) and bootstrapped Tobit regression analysis is adopted. The efficiency of forty-three emarkets is investigated with respect to their respective overall efficiency, technical efficien...

Dual weight restrictions are commonly suggested as a remedy to the problem of low discriminatory power and absurd marginal prices in conventional Data Envelopment Analysis (DEA) models. However, weight restriction models also suffer from potential problems of infeasibility, lack of exogenous determination and ambiguous interpretations. The Symmetric Weight Assignment Technique (SWAT) addresses ...