Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

Amado, Carla; Santos, Sérgio Pereira dos; Marques, Pedro Miguel Cardoso

doi:10.1016/j.omega.2011.06.006

Cited by 114 publications

(74 citation statements)

References 46 publications

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“…Furthermore, DEA has recently been given significant attention due to its ability to integrate other tools and techniques in order to formulate hybrid models that enhance the decision-making process. For example, DEA has been used to enrich the application of managerial models such as Quality Function Deployment [40] and Balanced Scorecard [41].…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Taylan

Alidrisi

Kabli

2014

SAJIE

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Employee selection is a multi-criteria decision-making (MCDM) problem for selecting suitable applicants from a ready pool. The selection aims to make use of their knowledge, relevant skills, and other characteristics to perform a specific job. The aim of this study is to develop a systematic approach for selecting the best candidates among the air traffic controllers (ATCs) for aviation in Saudi Arabia. Three integrated methods were employed for decision-making in this study. First, a fuzzy decision tree was applied to determine the criteria weights, then the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was employed to rank the attributes. In the last step, the Data Envelopment Analysis (DEA) was used to transform the qualitative variables into quantitative equivalences. A survey was conducted by national and international decisionmakers to elicit the necessary information on the criteria and sub-criteria of the air traffic control system. The decision problem was formulated by employing five criteria and ten applicants. The relationship between the fuzzy TOPSIS and fuzzy-weighted average was very positive for decision-making. The outcomes of the fuzzy TOPSIS and DEA encouraged the development of a decision support system for the selection of ATCs. OPSOMMINGDie kies van werknemers vanuit 'n lys van gepaste aansoeke is 'n multi-kriteria besluitnemingsprobleem. Die seleksie se doel is om gebruik te maak van die potensiële werknemers se relevante vaardighede en ander eienskappe om 'n spesifieke taak te verrig. Die doel van hierdie navorsing is om 'n sistematiese benadering, om die beste kandidate vir lugruimbeheerderposisies in Saoedi Arabië te identifiseer, te ontwikkel. Drie geïntegreerde metodes is ingespan vir die besluitneming in hierdie studie. Eerstens is 'n wasige besluitnemingsboom toegepas om die kriteria gewigte te bepaal. Daarna is die wasige tegniek van Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing toegepas om die kenmerke te rangskik. Laastens is die Data Omvangs Analise gebruik om die kwalitatiewe veranderlikes tot kwantitatiewe gelykhede om te skakel. 'n Peiling is onder nasionale en internasionale besluitnemers geneem om die noodsaaklike inligting rakende die kriteria en sub-kriteria van die lugruimbeheerstelsel te bepaal. Die besluitnemingsvraagstuk is geformuleer deur vyf kriteria en tien aansoekers in te span. Die verhouding tussen die wasige Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing en wasig-geweegde gemiddeld was besonder positief vir besluitneming. Die resultate van die wasige Orde Voorkeur deur Ooreenkoms tot die Ideale Oplossing en die Data Omvangs Analise moedig die ontwikkeling van 'n besluitneming ondersteuningstelsel vir lugruimbeheerders aan.

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Section: Literature Reviewmentioning

confidence: 99%

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Taylan

Alidrisi

Kabli

2014

SAJIE

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“…In this context, it is not crucially important whether or not a production function is used in the measurement of performance, since it concerns an empirical production function. The studies on which we have based our approach apply to various different sectors of activity, in particular the studies of [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55][56].…”

Section: Measuring and Relating Efficiency To The Balanced Scorecardmentioning

confidence: 99%

Balanced Scorecard and Efficiency: Design and Empirical Validation of a Strategic Map in the University by Means of DEA

Valderrama¹,

Cornejo²,

Bordoy³

2013

AJOR

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The principal objective of the research reported in this article is to validate a Balanced Scorecard (BSC) model and a Strategic Map for the University by studying the relationships of efficiency between its dimensions. Subsequently, the validation is completed by establishing hypotheses of efficiency relationships between the perspectives proposed, employing Data Envelopment Analysis (DEA). Empirical evidence has been obtained on the validity of the proposed BSC for a unit of academic management in the university. The first contribution of this work is the establishment of a framework of analysis of the hypothetical cause-effect relationships in the BSC in university institutions. The second contribution is to obtain the determining factors of the performance in this type of institution and, therefore, the Strategic Map. Specifically, these factors are: the participation of teaching staff in innovation activities; the number of doctorate-level staff; the academic subjects and credits in the Virtual Campus; and the scores in the surveys of student satisfaction. With respect to research, the determining factors of the performance are: the research sexennials; the funding obtained from contracts with companies; the number of research projects obtained; their financing; and the participation of teachers in these projects.

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“…The fundamental drawback of the BSC is the ambiguity of putting the theory into practice by modeling the conceptual framework so as to yield specific and measurable results (Amado et al, 2012). In addition, the link among the dimensions of performance is vague, and the impact on performance of trade-offs that may exist among these dimensions is not explicit (Otley, 1998).…”

Section: Introductionmentioning

confidence: 99%

Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US

Zervopoulos

Brisimi

Emrouznejad

et al. 2016

European Journal of Operational Research

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In this study we develop a DEA-based performance measurement methodology that is consistent with performance assessment frameworks such as the Balanced Scorecard. The methodology developed in this paper takes into account the direct or inverse relationships that may exist among the dimensions of performance to construct appropriate production frontiers. The production frontiers we obtain are deemed appropriate as they consist solely of units with desirable levels for all dimensions of performance. These levels should be at least equal to the critical values set by decision makers. The properties and advantages of our methodology against competing methodologies are presented through a numerical example and comparative analysis.This analysis explains the failure of existing studies to define appropriate production frontiers when directly or inversely related dimensions of performance are present.

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Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment

Cited by 114 publications

References 46 publications

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

A Multi-Criteria Decision-Making Approach That Combines Fuzzy Topsis and Dea Methodologies

Balanced Scorecard and Efficiency: Design and Empirical Validation of a Strategic Map in the University by Means of DEA

Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US

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