An ELECTRE-based decision aid tool for stepwise benchmarking: An application over EU Digital Agenda targets

نویسندگان

  • Marijana Petrovic
  • Natasa Bojkovic
  • Ivan Anic
  • Mladen Stamenkovic
  • Snezana Pejcic-Tarle
چکیده

a r t i c l e i n f o The study offers a decision support tool for stepwise benchmarking. Within a benchmarking exercise, we propose a method for selecting a preferable development path that consists of a sequence of intermediate benchmarks. First, an outranking multi-criteria approach is used to establish the hierarchical position of benchmarking units. For each unit, we evaluate possible development paths and distinguish those that are characterised by balanced improvement steps along the whole path. The proposed method can help decision makers to 1) detect disparities among benchmarking units and 2) identify intermediate benchmarks for less successful ones in each stage of their progress toward the ultimate benchmark target. The method is applied to benchmark European Union Member countries against Digital Agenda key performance targets. Benchmarking is a management tool defined as a systematic process of measuring products, services or business practices against those recognised as business leaders [1]. The idea behind benchmarking is to evaluate one's own performance relative to the others to select the best practice exemplars and to consider performance improvements by learning from more successful competitors. All of these considerations require specific decision-making activities that range from how to gauge pertinent statistics on performance and pinpoint areas that need improvement to setting goals and finding ways to meet them. Hence, there are a number of DSS (decision support systems) that exploit benchmarking as an underlying method, whereby prevails its use as a tool to compare and/or to set target values. A recent example is the study of Dong et al. [2], who presented the model that identifies the managerial benchmark (for the purpose of comparison). Similarly, Tremblay et al. [3] define three types of benchmarks to use for comparisons. There are two essential elements of benchmarking. The first involves comparing with other practice exemplars, which allows for a more objective evaluation of one's own performance. The second involves evaluating against other benchmarks—the term refers to a point of reference, a target, or the best in class standard, that is, someone or something to revere. Originally, benchmarking was used to measure and improve processes and performances of various types of business entities, but over time its scope and level of implementation have been extended. At the international level, benchmarking serves as a tool for comparing national successes in a specific field of interest. Benchmarking involves determining how well a country is doing …

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A sequence of targets toward a common best practice frontier in DEA

Original data envelopment analysis models treat decision-making units as independent entities. This feature of data envelopment analysis results in significant diversity in input and output weights, which is irrelevant and problematic from the managerial point of view. In this regard, several methodologies have been developed to measure the efficiency scores based on common weights. Specificall...

متن کامل

A Dea-based Method of Stepwise Benchmark Target Selection with Preference, Direction and Similarity Criteria

Data envelopment analysis (DEA) is a useful tool based on which inefficient decision-making units (DMUs) can perform a benchmarking process to improve their performance. However, several practical problems need to be addressed in benchmark target selection. One issue discussed in this research is that it might not be feasible for an inefficient DMU to achieve its target’s efficiency in a single...

متن کامل

Power and Agenda-Setting in Tanzanian Health Policy: An Analysis of Stakeholder Perspectives

Background Global health policy is created largely through a collaborative process between development agencies and aid-recipient governments, yet it remains unclear whether governments retain ownership over the creation of policy in their own countries. An assessment of the power structure in this relationship and its influence over agenda-setting is thus the first step towards understanding w...

متن کامل

ELECTRE I-based group decision methodology with risk preferences in an imprecise setting for flexible manufacturing systems

A new hesitant fuzzy set (HFS)-ELECTRE for multi-criteria group decision-making (MCGDM) problems is developed in this paper. In real-world applications, the decision makers (DMs)’ opinions are often hesitant for decision problems; thus, considering the exact data is difficult. To address the issue, the DMs’ judgments can be expressed as linguistic variables that are converted into the HFSs, con...

متن کامل

Integrated Approach to Construction of Benchmarking Network in DEA-Based Stepwise Benchmark Target Selection

Stepwise benchmark target selection in data envelopment analysis (DEA) is a realistic and effective method by which inefficient decision-making units (DMUs) can choose benchmarks in a stepwise manner. We propose, for the construction of a benchmarking network (i.e., a network structure consisting of an alternative sequence of benchmark targets), an approach that integrates the cross-efficiency ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Decision Support Systems

دوره 59  شماره 

صفحات  -

تاریخ انتشار 2014