Recent global attention to the challenges of environmental protection is forcing firms and
governments to evaluate, rank, and select eco-efficient technologies. Technologies may …

Purpose–The purpose of this paper is to propose a data envelopment analysis (DEA)
method for customers' evaluation. Design/methodology/approach–This paper introduces a …

To understand the value of customers and target the most profitable customers, this paper
uses cluster analysis to classify customers into four groups as platinum, gold, iron, and lead …

In 2013, Guo andWu (A complete ranking of DMUs with undesirable outputs using
restrictions in DEA models", Mathematical and Computer Modeling, Vol. 58, Nos. 5-6, pp …

Data envelopment analysis-discriminant analysis (DEA-DA) has been used for predicting
cluster membership of decision-making units (DMUs). One of the possible applications of …

Data envelopment analysis (DEA) is a mathematical programming technique that is
frequently used for measuring and benchmarking efficiency of the homogenous decision …

Selection of appropriate suppliers is one of the important strategies for enhancing the quality
of output of any company, which has a direct effect on the company's reputation. Worst …

Today, for organisations to survive the socio-economical competition and achieve
sustainable improvement, it is necessary to acquire the information about the performance …

As customers are the most important asset of companies, they must manage relationships
with customers and consider it as an opportunity. Prioritizing the customers is one of the …

The purpose of this paper is to discuss the consumer behaviour of third-party payment (TPP)
in China, and the intermediate effects for the quality variables of TPP platform, which are its …