The models evaluating courier and messenger companies in Poland

Abstract

A B S T R A C T Data Envelopment Analysis (DEA) is a well-established, popular, and often used method for efficiency evaluation of units from all sector, both commercial and nonprofit organisations, of any scale of operations. Network DEA models are a relatively recent approach used to examine the efficiency of decision-making units (DMUs) having an internal structure of sub-processes. The article presents the concept of DEA network models in estimating the efficiency of courier and messenger companies with relations to their business clients. The considerations are supported by an example of data concerning leaders from the sector of couriers and messengers in Poland and one of the biggest and most popular online stores. The results are compared with the traditional DEA approach. In addition, to measure reliability for DEA scores, the jackknife procedure was performed. The author proves the usefulness of network DEA as a research and management tool. K E Y W O R D S courier and messenger companies, network DEA, efficiency, evaluation

Benchmarking of contributory organisations within the framework of technical efficiency

“…Traditional studies of the Data Envelopment Analysis (DEA) view systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system. However, Network DEA allows considering the evaluation of changes that occur within the process (Chodakowska & Nazarko, 2016). Lotfi et al (2010) proposed a methodology named CINDB (Combined Interval Net DEA and BSC) to evaluate the performance of an organisation considering financial and non-financial perspectives.…”

“…by Bottani et al (2017) who assessed sustainability at the organisation's level considering three key perspectives -economic, environmental and social -based on fuzzy logic and, in particular, on a monotonic hierarchical fuzzy inference tool as an effective means to gather the judgements and scores against the key performance indicators (KPIs) of each sustainability perspective into an aggregated index. Chodakowska and Nazarko (2016) presented the concept of environmental efficiency analysis based on the DEA in the case of desirable and undesirable results and illustrated by a case study of European countries. This assessment tool could be useful for benchmarking studies.…”