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

Petrović, Marijana; Bojković, Zoran; Anić, Ivan Damir; Stamenković, Mladen; Tarle, Sneana Pejčić

doi:10.1016/j.dss.2013.12.002

Cited by 35 publications

(29 citation statements)

References 27 publications

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“…This is the reason ELECTRE has been employed extensively by researchers as illustrated in Table 3. (Mousavi, Gitinavard, and Mousavi 2017) Renewable energy policy selection (Kadziński and Ciomek 2016) Preference Modelling and outranking (Naghiu et al 2016) Solar radiation panel selection (Wu et al 2016) Wind power station site selection (Ishizaka and Nemery 2014) Assigning m/c to incomparable maintenance strategies (Lian and Ke 2014) Agricultural product recommendation (Petrović et al 2014) EU digital agenda targets…”

Section: Electre Methodsmentioning

confidence: 99%

“…Further, the consistency index table is provided as: (Rezaei 2015b) Description of Best Worst Method (Rezaei 2015a) Description of properties of BWM (Rezaei, Wang, and Tavasszy 2015) Linking supplier development to supplier segmentation (Chitsaz and Azarnivand 2017) Water Scarcity Management (Gupta and Barua 2016) Technological innovation for Indian MSMEs (Hafezalkotob and Hafezalkotob 2016) Risk-based material selection process (Huang and Moh 2016) Application of Perron Theorem in multi criteria decision making (Mou, Xu, and Liao 2016) Fuzzification of BWM (Ren, Liang, and Chan 2016) Urban sewage sludge (Rezaei, Hemmes, and Tavasszy 2016) Surface transportation of air freight (Rezaei, Nispeling, et al, 2016) Supplier Selection (Salimi and Rezaei 2016) Measuring efficiency of industry-institute projects (Mousavi, Gitinavard, and Mousavi 2017) Renewable energy policy selection (Kadziński and Ciomek 2016) Preference Modelling and outranking (Naghiu et al 2016) Solar radiation panel selection (Wu et al 2016) Wind power station site selection (Ishizaka and Nemery 2014) Assigning m/c to incomparable maintenance strategies (Lian and Ke 2014) Agricultural product recommendation (Petrović et al 2014) EU digital agenda targets MSE OGE SCE TCE IDE SCE 3 1 6 3 2 IDE 5 4 2 3 1 3 TCE 6 2 4 1 3 4 SCE 5 6 1 4 2 5 OGE IDE…”

Section: Appendix -Amentioning

confidence: 99%

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Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study

Yadav

Mangla

Luthra³

et al. 2018

International Journal of Production Research

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According to the aim and scope of the journal, my main suggestion is to highlight the importance of the topic in the field of production research. My minor suggestions are: • Improve the quality of figures 3 and 4 The importance of the topic in the field of production research is highlighted in the Abstract, Introduction, Contributions, and Conclusions section of the revised paper. Suggested changes have been made.

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Section: Electre Methodsmentioning

confidence: 99%

Section: Appendix -Amentioning

confidence: 99%

Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study

Yadav

Mangla

Luthra³

et al. 2018

International Journal of Production Research

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“…We envisage the following future developments of the proposed framework motivated by the indications of the experts involved in the study. First, we will propose a stepwise benchmarking tool [51] for Post Factum Analysis that would indicate an optimal development path toward the target. Secondly, we will develop some visualization tools to show trade-offs between the required/allowed performances changes on different criteria on the interactive bi-or tri-dimensional plots.…”

Section: Discussionmentioning

confidence: 99%

Predictive analytics and disused railways requalification: Insights from a Post Factum Analysis perspective

Ciomek

Ferretti

Kadziński

2018

Decision Support Systems

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Strategic decision making problems in the public policy domain typically involve the comparison of competing options by different stakeholders. This paper considers a real case study oriented toward ranking potential actions for the regeneration of disused railways in Italy. The study involves multiple conflicting criteria such as an expected duration of construction works, costs, a number of potential users, and new green areas. Within this context, we demonstrate that Post Factum Analysis (PFA) coupled with Decision Aiding supports the development of robust recommendations. The role of PFA is to highlight how the actions' performances need to be modified so that the recommendation is changed in a desired way. In particular, it highlights the minimal improvements that would warrant the feasibility of some currently impossible outcome (e.g., achieving a better position in the ranking) or the maximal deteriorations that alternatives can afford to maintain some target result (e.g., not losing their advantage over some other options). The use of a focus group with both experts and participants in the decision making process provided insights on how PFA can support: (i) the creation of arguments in favour or against the respective options under analysis, (ii) understanding of the results' sensitivity with respect to possible changes in the alternatives' performances, (iii) a better informed discussion about the results among the participants in the process, and (iv) the development of new/better alternatives.

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“…This path is represented by a set of intermediate benchmarks (performance targets) which mark the improvement steps along the route to the ultimate target (policy agenda goals). One idea to operationalize stepwise benchmarking is to use a multilevel outranking approach based on ELECTRE (ELimination Et Choix Traduisant la REalité) as described and applied in public policy domain in Petrovic et al (2012Petrovic et al ( , 2014Petrovic et al ( , 2017 and Stamenkovic et al (2016). In the centre of this approach is the overcoming of certain negative aspects of common analytical tools like DEA (Data Envelopment Analysis) or CIs (Composite indices) approach (for comprehensive discussion see Petrovic et al, 2013b).…”

Section: Introductionmentioning

confidence: 99%

A Sensitivity Analysis of ELECTRE Based Stepwise Benchmarking for Policy: the Case of EU Digital Agenda

Petrović

Bojković

Stamenković

et al. 2018

Manage: J. Sustainable Bus. Manage, Solutions Emerging Econ.

Self Cite

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Research question: This paper introduces a new parameter for evaluating the sensitivity of development paths in ELECTRE (ELimination Et Choix Traduisant la Realité) based stepwise benchmarking model. Motivation: The aim of the research was to devise a 'path sensitivity coefficient' which measures the sensitivity of a development path depending on parameters set by decision-maker (DM). The need for such measure comes from the fact that the hierarchical pre-order of benchmarking units are affected by the DM's subjective decisions on the threshold for declaring outranking relations among them. This consequently may disrupt the sequence of intermediate benchmarks - transitional targets to be followed on the route to the ultimate policy goals. The proposed approach is an extension of a stepwise benchmarking procedure devised by Petrovic et al. (2014) which evaluates development paths based on their gradualism. Idea: In this paper, we propose to characterize development paths by considering both gradualism and sensitivity to outranking thresholds. The standpoint of our research is that in order to make a reliable final choice the DM should be aware that the most gradual path is not necessary the most stable one. Tools: The proposed 'path sensitivity coefficient' combines four level of uncertainty coming from two threshold values set by DM. The coefficient has a relative nature, it points to the “distance” from the theoretically ideal solution - a path fully indifferent to threshold values. An approach to merge coefficients associated with gradualism and stability is also introduced. Data: To illustrate the proposed approach we applied it in the field of digital transformation of EU countries. We exploited indicators and data from Digital Agenda Scoreboard regarding specific policy goals to be achieved until 2020. Findings: The findings imply that the decision on the most gradual development path should be reconsidered in regards to the influence of model parameters. The final choice depends whether DM’s prefers the smoothness of the path or the overall stability in terms of underlying partial preorder. Contribution: This work contributes to the existing ELECTRE-based stepwise benchmarking by reducing the uncertainty coming from subjective parameterization and allows the DM to be more confident in the final path selection.

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

Cited by 35 publications

References 27 publications

Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study

Hybrid BWM-ELECTRE-based decision framework for effective offshore outsourcing adoption: a case study

Predictive analytics and disused railways requalification: Insights from a Post Factum Analysis perspective

A Sensitivity Analysis of ELECTRE Based Stepwise Benchmarking for Policy: the Case of EU Digital Agenda

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