No / The quest for best practices may lead to an increased risk of poor decision-making, especially when aiming to attain best practice levels reveals that efforts are beyond the organization’s present capabilities. This situation is commonly known as the “best practice trap”. Motivated by such observation, the purpose of the present paper is to develop a practical methodology to support better practice benchmarking, with an application to the banking sector. In this sense, we develop a two-stage hybrid model that employs Artificial Neural Network (ANN) via integration with Data Envelopment Analysis (DEA), which is used as a preprocessor, to investigate the ability of the DEA-ANN approach to classify the sampled branches of a Greek bank into predefined efficiency classes. ANN is integrated with a family of radial and non-radial DEA models. This combined approach effectively captures the information contained in the characteristics of the sampled branches, and subsequently demonstrates a satisfactory classification ability especially for the efficient branches. Our prediction results are presented using four performance measures (hit rates): percent success rate of classifying a bank branch’s performance exactly or within one class of its actual performance, as well as just one class above the actual class and just one class below the actual class. The proposed modeling approach integrates the DEA context with ANN and advances benchmarking practices to enhance the decision-making process for efficiency improvement.

Yes / For meeting the external requirements of the Paris Agreement and reducing energy consumption per gross domestic product, China needs to improve its energy efficiency. Although the existing studies have attempted to investigate energy efficiency from different perspectives, little effort has yet been made to consider the collaboration among different stages in the production chain to produce energy outputs. In addition, various studies have also examined the determinants of energy efficiency, however, they mainly focused on technology and economic factors, no study has yet proposed and considered the influence of geographical factors on energy efficiency. In this article, we fill in the gap and make theoretical and empirical contributions to the literature. In this study, a two-stage analysis method is used to analyse energy efficiency and the influencing factors in China between 2009 and 2021. More specifically, from the theoretical/methodological perspective, a multi-activity network data envelopment analysis model is used to measure energy efficiency of different processes in the energy production chain. From the empirical perspective, we attempt to investigate the influence of geographical factors on energy efficiency through a neural network analysis. Meanwhile, the comparisons among different provinces are made. The result shows that the overall energy efficiency is low in China, and China relies more on the traditional energy industry than the clean energy industry. The efficiency level experiences a level of volatility over the examined period. Finally, we find that raw fuel pre-process and industry have a significant and positive impact on energy efficiency in China.

Yes / Using a sample of Brazilian listed companies during 2010-2019, the study investigates the endogeneity and the directional cause-effect relationship between firm efficiency, market structure and firms’ ESG performance under a Stochastic Structural Relationship Programming (SSRP) model. Also, comprehensive market structure indicators are used. The efficiency is estimated under a two-stage network Data Envelopment Analysis (NDEA) model. Our empirical evidence is threefold. First, our evidence indicates that firms with better environmental performance are more efficient, whereas lower ESG performance and poorer corporate governance practices are associated with a higher level of efficiency. Second, our findings suggest that market structure measures (i.e., competition and market power) have heterogeneous impacts on various ESG indexes. Specifically, higher market competition is associated with better overall ESG performance and environmental performance but worse corporate governance performance, although market power can only enhance the environmental and governance performance of firms. Third, the two market structure proxies employed in this study are significantly attributed to firm efficiency. Our findings provide practical implications for various stakeholders and suggest avenues for future studies that can build on our evidence.

This dissertation brings together the areas of safety science and operations management through a mixed-methods approach to investigate the complex relationships between two, often conflicting, organizational goals - efficiency and safety, in sociotechnical systems (STSs). This research mainly focuses on production pressure (PrP) which is considered as one of the main negative outcomes of overprioritizing the efficiency aspect of STSs. This work seeks to introduce novel methodologies for assessing PrP in real time for the purpose of mitigating its risks and unwanted consequences, particularly in safety critical environments such as traffic control centers (TCCs). Essay 1 concentrates on the theoretical underpinnings of PrP by systematically reviewing the existing literature to clarify and unify the concept under the context of safety science. It identifies key factors contributing to PrP, its negative effects on safety performance in various industries, and potential mitigation strategies. By doing so, this essay contributes to the field through laying the groundwork for more effective management strategies to improve workplace safety. Essay 2 addresses a significant gap identified in Essay 1 by developing a methodology based on Data Envelopment Analysis (DEA) for the ongoing measurement and monitoring of PrP. This innovative approach introduces a quantitative mechanism that juxtaposes efficiency and safety related outcomes of hourly performance in safety critical environments. This proposed method allows for a detailed analysis of performance dynamics within STSs. The practical application of this model is demonstrated through its implementation in the infrastructure management system of INFRABEL, the Belgian National Railroad Company. Essay 3 advances the conversation by tackling the predictive limitations of the DEA model established in Essay 2. It integrates Machine Learning (ML) techniques with DEA to develop an innovative method for forecasting near-future PrP levels for proactive management of safety risks. The major contribution of Essay 3 is the novel interface between ML and DEA that can improve decision-making capabilities of managers in safety-critical STSs through real-time monitoring and predictive analytics. Together, these studies contribute to the theoretical discussions around PrP and present practical solutions to longstanding challenges in safety science and operational management. / Doctor of Philosophy / In today's increasingly complex world, the systems that run our industries, from traffic control to healthcare, face a dilemmatic balance between pushing for higher productivity and ensuring safety. This dissertation explores the trade-offs between efficiency and safety which has become more pronounced with the advancement of technology. Traditional safety approaches which used to be effective in simpler systems, struggle in modern STSs where causes and effects are not linear but tangled in a web of unpredictable interactions. Production pressure (PrP), at the core of the mentioned balance, is the drive to maximize output and efficiency, often at the expense of safety. This pressure can lead to unintended and sometimes catastrophic outcomes in the long term, especially in environments where safety is critical, such as rail traffic control centers. Despite its vital impact, there has been a noticeable gap in understanding and managing PrP. In fact, existing safety frameworks are struggling to capture the dynamic nature of PrP, consequently, its real-time measurement and control remain difficult to achieve. This work, therefore, tries to broaden our understanding of PrP and to develop methods to monitor, measure, and predict it, to equip managers and policymakers with the tools to navigate the efficiency-safety dichotomy more effectively. Through a series of essays, this dissertation reviews the current state of knowledge on PrP to identify its sources and impacts and also innovates a novel approach to quantify PrP in real-time and predict its future trends.

Kleine regionale Flughäfen leiden oft unter begrenzter Nachfrage sodass sie ihre Kosten nicht decken können. Die Frage ist wie solche Flughäfen effizient strukturiert, bewirtschaftet und möglicherweise finanziell unterstützt werden können. Viele solcher Flughäfen werden einzeln betrieben und erhalten direkte lokale oder nationale Subventionen, während andere von den Quersubventionen leben. Die Dissertation befasst sich zuerst mit der Abschätzung der Effizienz von 85 regionalen europäischen Flughäfen (2002-2009) durch Anwendung der „Data Envelopment Analysis“. Die Schätzungen zeigen, dass die potenziellen Einsparungen 50 Prozent und gesteigerten Einnahmemöglichkeiten 25 Prozent betragen. Die Zugehörigkeit zu einem Flughafensystem reduziert die Effizienz um 5 Prozent. Das durchschnittliche Break-Even Passagieraufkommen hat sich im letzten Jahrzehnt mit 464.000 Passagiere mehr als verdoppelt. Die Flughäfen hätten ihre Kosten mit allein 166.000 Passagiere decken können, wären sie effizient betrieben worden. Der zweite Teil beschäftigt sich mit einem Vergleich der Flughäfen von AENA und DHMI (2009-2011). Eine „Russell measure“ der DEA zeigt, dass die Mehrheit der Flughäfen unter zunehmenden Skalenerträge arbeitet. Die Ergebnisse zeigen höhere durchschnittliche Effizienz der spanischen Flughäfen. Aber ein verstärkte privates Engagement steigert die Effizienz in den türkischen Flughäfen. Wir schlagen verschiedene wirtschaftspolitische Optionen vor um die Effizienz zu verbessern, wie zum Beispiel die Dezentralisierung von Flughafen-Management und die Verbesserung des Flughafennetzes durch die Schließung ineffizienter Flughäfen. Im letzten Teil wird eine räumliche Regressionsmethode verwendet um verschiedene Hypothesen zu testen. Die Ergebnisse von subventionierten französischen und norwegischen Flughäfen zeigen eine negative Auswirkung von Subventionen auf Kosteneffizienz der Flughäfen. Darüber hinaus wird die Bedeutung von Skaleneffekten veranschaulicht. / Small and regional airports often have insufficient revenues to cover their costs. The question is how such airports could be efficiently structured, managed and financially supported. Some airports are operated individually and receive direct subsidies from the local and federal governments. Others survive through cross-subsidizations. This dissertation first deals with the efficiency of 85 small regional European airports for the years 2002-2009 by applying a data envelopment analysis. Estimates show the potential savings and revenue opportunities to be 50 percent and 25 percent respectively. Belonging to an airport system reduces efficiency by about 5 percent. The average break-even passenger throughput over the last decade more than doubled to 464 thousand passengers. However airports behaving efficiently could have covered their operational costs with a mere 166 thousand passengers annually. The second part addresses the comparison of airports belonging to AENA and DHMI for the years between 2009 and 2011. The majority of airports operate under increasing returns to scale. A Russell measure of data envelopment analysis is implemented. Results indicate higher average efficiency levels at Spanish airports, but private involvement enhances efficiency at Turkish ones. Certain policy options including a greater decentralization of airport management and the restructuring of the airport network (by closing some inefficient airports) should be considered to increase the airport systems’ efficiency. In the final part of the dissertation, we have studied how the airport specific characteristics drive the unit costs. In order to capture the spatial interdependence of airport costs, a spatial regression methodology is applied. Two separate datasets of subsidized French and Norwegian airports are used to test various hypotheses. The results show a negative effect of subsidies on airport cost efficiency. Furthermore, the significance of scale economies is illustrated.

Submitted by SBI Biblioteca Digital (sbi.bibliotecadigital@puc-campinas.edu.br) on 2018-08-09T11:58:01Z No. of bitstreams: 1 MARIA PAULA MINORIN BABONI.pdf: 3935036 bytes, checksum: 6b16b5f82fcb82f4f4e69e7cfd8367d7 (MD5) / Made available in DSpace on 2018-08-09T11:58:02Z (GMT). No. of bitstreams: 1 MARIA PAULA MINORIN BABONI.pdf: 3935036 bytes, checksum: 6b16b5f82fcb82f4f4e69e7cfd8367d7 (MD5) Previous issue date: 2018-07-28 / To maximize basic sanitation benefits, it?s necessary to solve the challenge of conflicting objectives. As the performance depends on the value of the one who evaluates, this research proposes to evaluate the sanitation from the perspective of different stakeholders that have conflicting objectives: the User Population - PU and the Service Provider - PS. In order to verify how the municipalities placed themselves in each perspective and in the joint vision, this research proposed to classify the Services of Water Supply and Sanitary Sewage of the municipalities of the Metropolitan Region of Campinas, from the vision of the PU and the PS, during the years of 2014 and 2015, according to the relations of efficiencies. Data Envelopment Analysis was used to evaluate the efficiencies of the municipalities in the two views, considering the CCR model oriented to Output and the data provided by the SNIS and IMP, and the Malmquist Index in order to evaluate the movement of the municipalities. It was verified that the majority of the municipal policies favored the PS in detriment of better services for the PU. The municipalities that reached the Great Balance were Engenheiro Coelho and Americana in 2014 and 2015 and Cosm?polis in 2015. In addition, the dominant force of advancement towards the PS occurred due to Technological Progress rather than to the improvement of municipal relative efficiency in the period, while the forces advancing towards the PU were results of the progress of the Frontier and relative municipal efficiency. As regards the characterization of the service providers, it was concluded that the Scope is decisive in the view of the stakeholder when compared to the Legal Nature and the Property, since the municipalities operated by the Regional provider were considered efficient in the view of the PS but inefficient in the vision of the PU, obtaining the last positions in the Ranking of the User Population. / A quest?o dos objetivos conflitantes deve ser resolvida para universalizar os servi?os do saneamento, foco estrat?gico do setor. Para tanto, prop?e-se avaliar o desempenho dos sistemas de abastecimento de ?gua e esgotamento sanit?rio da Regi?o Metropolitana de Campinas ? RMC sob a ?tica de stakeholders que t?m objetivos conflitantes: a Popula??o Usu?ria ? PU e o Prestador de Servi?os ? PS. Os servi?os de ?gua e esgoto foram classificados a partir da vis?o da PU e do PS durante os anos de 2014 e 2015, segundo suas rela??es de efici?ncia, para verificar como os munic?pios colocavam-se em cada perspectiva e na vis?o conjunta. Utilizaram-se a An?lise Envolt?ria de Dados ? DEA para avaliar a efici?ncia municipal, considerando o modelo CCR orientado para Sa?da e os dados p?blicos disponibilizados pelo Sistema Nacional de Informa??es sobre Saneamento ? SNIS e pelo produto Informa??es dos Munic?pios Paulistas ? IMP da Funda??o Sistema Estadual da An?lise de Dados - SEADE, e o ?ndice de Malmquist ? IM para avaliar o comportamento dos munic?pios no per?odo. Verificou-se que a maioria das pol?ticas municipais privilegiavam o PS em detrimento de melhores servi?os para a PU nos dois anos e que os munic?pios que atingiram o Equil?brio ?timo foram Engenheiro Coelho e Americana, em 2014 e 2015, e Cosm?polis em 2014. No sentido do PS, o avan?o ocorreu devido ao Deslocamento da Fronteira ? EFC e o retrocesso de Cosm?polis e Santo Ant?nio de Posse ocorreu devido ao Emparelhamento ? TEC. No sentido da PU, o avan?o ocorreu tanto por causa do TEC quanto do EFC. O retrocesso de Holambra ocorreu tanto por conta do TEC quanto do EFC. A Abrang?ncia do prestador de servi?o, se comparada ? Natureza Jur?dica e ao Direito, foi decisiva na vis?o do stakeholder, j? que os munic?pios operados pelo prestador regional foram ineficientes para a PU e eficientes para o PS, em 2014 e 2015.

The intense economic growth that Brazil has experienced in recent decades and its consequent explosive motorization process have resulted in an undesirable impact: the continuously increasing trend in traffic fatality numbers. This study presents a research on indicators and indexes with the objective of delivering both overall and disaggregated evidence about the road safety performance and targets in fatality reduction in Brazil at the state level taking the exposure into account. The intention is to support road safety strategic analysis in the country and to contribute to improve this critical scene. The methodological structure of this thesis consists of the following three main parts: (I) diagnosing the road safety situation at the state level using final outcome related information, in particular traffic fatality risk data; (II) setting a target number of traffic fatalities based on the relationship between the exposure level and the number of traffic fatalities in each state; and (III) suggesting domains for improvements based on the research of safety performance indicators representing three domains (road user, environment and vehicle) throughout the states. From a benchmarking point of view, we divided the Brazilian states into three separate clusters in order to provide more realistic state performance comparisons. After a data collection and indicators selection step, Data Envelopment Analysis (DEA) was the method used for executing the different steps, with the application of four different types of models specially developed for the identified research purposes. In addition, by means of bootstrapping the DEA scores we measured the sensitivity of the results to possible variations in the input data, for example concerning data quality and availability. As a result, we provided a road safety diagnosis per state as well as traffic fatality targets according to different perspectives: the entire group of road users (motorized and nonmotorized ones), motor vehicle occupants, and finally a disaggregated performance evaluation by running four separate DEA models (for motorcycle, car, truck and bus). Moreover, the SPI research including a hierarchy of 27 safety performance indicators expressed the states relative performance on the main road safety domains. Lastly, state profiles compiling all this information summarized the \"per state\" findings. / O intenso crescimento econômico que o Brasil tem experimentado nas últimas décadas e seu consequente explosivo processo de motorização resultaram em um impacto indesejado: a tendência contínua do aumento do número de mortes no trânsito. Este estudo apresenta uma pesquisa acerca de índices e indicadores com o objetivo de fornecer evidências gerais e desagregadas sobre o desempenho da segurança viária e metas de redução no número de mortes no Brasil no âmbito estadual, levando a exposição em consideração. A intenção é embasar uma análise estratégica da segurança viária no país e contribuir para melhorar este cenário crítico. A estrutura metodológica desta tese consiste das seguintes três partes principais: (I) diagnóstico da situação da segurança viária no nível estadual utilizando informações relacionadas ao resultado final, em particular dados de risco de morte no trânsito; (II) estabelecer uma meta para o número de mortes no trânsito para cada estado; e (III) sugerir domínios para melhorias baseado em pesquisa de indicadores de desempenho da segurança viária voltada a três domínios (usuário da via, ambiente e veículo). Sob a ótica do benchmarking, dividiram-se os estados brasileiros em três clusters para proporcionar comparações mais realistas dos desempenhos estaduais. Após uma etapa de coleta e seleção de indicadores, utilizou-se o método de Data Envelopment Analyis (DEA) para executar as diferentes etapas, com a aplicação de quatro tipos distintos de modelos especialmente desenvolvidos para os propósitos da pesquisa. Além disso, por meio de bootstrapping dos escores obtidos com a DEA, mediu-se a sensibilidade dos resultados a possíveis variações nos dados de entrada, no que diz respeito a, por exemplo, qualidade e disponibilidade dos dados. Como resultado, propicia-se, a partir de diferentes perspectivas, um diagnóstico da segurança viária por estado, assim como metas no número de mortes: para todo o grupo de usuários (motorizados e não-motorizados), ocupantes de veículos motorizados, e finalmente uma avaliação desagregada por meio de quatro modelos separados (para motocicletas, automóveis, caminhões e ônibus). Adicionalmente, a pesquisa de indicadores de desempenho da segurança considerando a hierarquia de 27 indicadores expressou os desempenhos relativos dos estados nos principais domínios da segurança viária. Por fim, perfis estaduais compilando todas estas informações resumem os resultados para os estados.

The intense economic growth that Brazil has experienced in recent decades and its consequent explosive motorization process have resulted in an undesirable impact: the continuously increasing trend in traffic fatality numbers. This study presents a research on indicators and indexes with the objective of delivering both overall and disaggregated evidence about the road safety performance and targets in fatality reduction in Brazil at the state level taking the exposure into account. The intention is to support road safety strategic analysis in the country and to contribute to improve this critical scene. The methodological structure of this thesis consists of the following three main parts: (I) diagnosing the road safety situation at the state level using final outcome related information, in particular traffic fatality risk data; (II) setting a target number of traffic fatalities based on the relationship between the exposure level and the number of traffic fatalities in each state; and (III) suggesting domains for improvements based on the research of safety performance indicators representing three domains (road user, environment and vehicle) throughout the states. From a benchmarking point of view, we divided the Brazilian states into three separate clusters in order to provide more realistic state performance comparisons. After a data collection and indicators selection step, Data Envelopment Analysis (DEA) was the method used for executing the different steps, with the application of four different types of models specially developed for the identified research purposes. In addition, by means of bootstrapping the DEA scores we measured the sensitivity of the results to possible variations in the input data, for example concerning data quality and availability. As a result, we provided a road safety diagnosis per state as well as traffic fatality targets according to different perspectives: the entire group of road users (motorized and nonmotorized ones), motor vehicle occupants, and finally a disaggregated performance evaluation by running four separate DEA models (for motorcycle, car, truck and bus). Moreover, the SPI research including a hierarchy of 27 safety performance indicators expressed the states relative performance on the main road safety domains. Lastly, state profiles compiling all this information summarized the \"per state\" findings. / O intenso crescimento econômico que o Brasil tem experimentado nas últimas décadas e seu consequente explosivo processo de motorização resultaram em um impacto indesejado: a tendência contínua do aumento do número de mortes no trânsito. Este estudo apresenta uma pesquisa acerca de índices e indicadores com o objetivo de fornecer evidências gerais e desagregadas sobre o desempenho da segurança viária e metas de redução no número de mortes no Brasil no âmbito estadual, levando a exposição em consideração. A intenção é embasar uma análise estratégica da segurança viária no país e contribuir para melhorar este cenário crítico. A estrutura metodológica desta tese consiste das seguintes três partes principais: (I) diagnóstico da situação da segurança viária no nível estadual utilizando informações relacionadas ao resultado final, em particular dados de risco de morte no trânsito; (II) estabelecer uma meta para o número de mortes no trânsito para cada estado; e (III) sugerir domínios para melhorias baseado em pesquisa de indicadores de desempenho da segurança viária voltada a três domínios (usuário da via, ambiente e veículo). Sob a ótica do benchmarking, dividiram-se os estados brasileiros em três clusters para proporcionar comparações mais realistas dos desempenhos estaduais. Após uma etapa de coleta e seleção de indicadores, utilizou-se o método de Data Envelopment Analyis (DEA) para executar as diferentes etapas, com a aplicação de quatro tipos distintos de modelos especialmente desenvolvidos para os propósitos da pesquisa. Além disso, por meio de bootstrapping dos escores obtidos com a DEA, mediu-se a sensibilidade dos resultados a possíveis variações nos dados de entrada, no que diz respeito a, por exemplo, qualidade e disponibilidade dos dados. Como resultado, propicia-se, a partir de diferentes perspectivas, um diagnóstico da segurança viária por estado, assim como metas no número de mortes: para todo o grupo de usuários (motorizados e não-motorizados), ocupantes de veículos motorizados, e finalmente uma avaliação desagregada por meio de quatro modelos separados (para motocicletas, automóveis, caminhões e ônibus). Adicionalmente, a pesquisa de indicadores de desempenho da segurança considerando a hierarquia de 27 indicadores expressou os desempenhos relativos dos estados nos principais domínios da segurança viária. Por fim, perfis estaduais compilando todas estas informações resumem os resultados para os estados.

Com o aumento da capacidade de processamento de dados dentro das empresas de todos os portes e da disponibilidade de informações cada vez maior nos tempos atuais, o uso de indicadores e ferramentas de análise quantitativa tornam-se cada vez mais comuns nas mais diversas áreas, buscando-se eficiência, uma correta alocação de recursos e na geração de expectativas mais realistas de vendas e resultados. Enquanto muitos mercados apresentam uma variedade de dados e de estudos para serem usados como bases de referência, existem outros que ainda são carentes de informações básicas para planejamento e análise. O mercado de materiais cirúrgicos é um destes, onde não estão disponíveis as demandas dos clientes, as projeções de mercado ou as estimativas de market share. Este estudo busca, através da análise das vendas em 43 territórios de empresas de dispositivos médicos com atuação no Brasil nas áreas de ortopedia traumatologia, neurocirurgia e buco-maxilo-facial, aplicar a técnica de Análise Envoltória de Dados (DEA, do inglês “Data Envelopment Analysis”) como um modelo de análise comparativa de eficiência que possa auxiliar nos processos de tomada de decisão, mesmo com uma base restrita e limitada de informações. A aplicação da técnica de DEA apresenta resultados que permitem [1] destacar os pontos de melhoria para os territórios ineficientes buscando [2] homogeneizar a eficiência de atendimento por meio do [3] benchmarking entre as regiões buscando [4] uma maior competitividade neste mercado. / With the increased capacity of data processing within companies of all sizes and the currently availability of all sort of informations, the use of indicators and tools for quantitative analysis become increasingly common in many areas, allowing companies to achieve better efficiency, proper resources allocation, and the settle of more realistic performance expectations. While many markets feature a variety of data and studies, others are deprived of basic information for planning and analysis. Among these, the medical devices market have almost unavailable informations of customers demands, markets forecasts or estimated market share at a regional level. Through the analysis of 43 sales territories of medical devices companies in Brazil, this study uses the technique of data envelopment analysis (DEA) as a model for comparative efficiency analysis that can assist the processes of decision making, even with a restricted and limited database. The application of DEA technique provide results that [1] highlight the points of improvement for inefficient territories [2] in order to homogenize the efficiency of regions through [3] benchmarking between them, [4] to improve overall competitive level.

Made available in DSpace on 2014-12-17T14:09:18Z (GMT). No. of bitstreams: 1 ClaudiaACF_TESE.pdf: 6242500 bytes, checksum: 7a857ce8be46bd85b252fca3bf3fa45c (MD5) Previous issue date: 2013-05-24 / The increasing use of fossil fuels in line with cities demographic explosion carries out to huge environmental impact in society. For mitigate these social impacts, regulatory requirements have positively influenced the environmental consciousness of society, as well as, the strategic behavior of businesses. Along with this environmental awareness, the regulatory organs have conquered and formulated new laws to control potentially polluting activities, mostly in the gas stations sector. Seeking for increasing market competitiveness, this sector needs to quickly respond to internal and external pressures, adapting to the new standards required in a strategic way to get the Green Badge . Gas stations have incorporated new strategies to attract and retain new customers whom present increasingly social demand. In the social dimension, these projects help the local economy by generating jobs and income distribution. In this survey, the present research aims to align the social, economic and environmental dimensions to set the sustainable performance indicators at Gas Stations sector in the city of Natal/RN. The Sustainable Balanced Scorecard (SBSC) framework was create with a set of indicators for mapping the production process of gas stations. This mapping aimed at identifying operational inefficiencies through multidimensional indicators. To carry out this research, was developed a system for evaluating the sustainability performance with application of Data Envelopment Analysis (DEA) through a quantitative method approach to detect system s efficiency level. In order to understand the systemic complexity, sub organizational processes were analyzed by the technique Network Data Envelopment Analysis (NDEA) figuring their micro activities to identify and diagnose the real causes of overall inefficiency. The sample size comprised 33 Gas stations and the conceptual model included 15 indicators distributed in the three dimensions of sustainability: social, environmental and economic. These three dimensions were measured by means of classical models DEA-CCR input oriented. To unify performance score of individual dimensions, was designed a unique grouping index based upon two means: arithmetic and weighted. After this, another analysis was performed to measure the four perspectives of SBSC: learning and growth, internal processes, customers, and financial, unifying, by averaging the performance scores. NDEA results showed that no company was assessed with excellence in sustainability performance. Some NDEA higher efficiency Gas Stations proved to be inefficient under certain perspectives of SBSC. In the sequence, a comparative sustainable performance and assessment analyzes among the gas station was done, enabling entrepreneurs evaluate their performance in the market competitors. Diagnoses were also obtained to support the decision making of entrepreneurs in improving the management of organizational resources and promote guidelines the regulators. Finally, the average index of sustainable performance was 69.42%, representing the efforts of the environmental suitability of the Gas station. This results point out a significant awareness of this segment, but it still needs further action to enhance sustainability in the long term / A crescente utiliza??o de combust?veis f?sseis alinhada ? explos?o demogr?fica em centros urbanos tem ocasionado grandes problemas de impacto ambiental na sociedade. Para mitigar esses impactos, as exig?ncias dos ?rg?os reguladores t?m influenciado positivamente na consci?ncia ambiental da sociedade, bem como no comportamento estrat?gico das empresas. Com essa consci?ncia ambiental, os ?rg?os t?m conquistado maiores respaldos e formulado novas legisla??es no controle de atividades potencialmente poluidoras, sobretudo no setor dos postos revendedores de combust?veis. Em busca de aumentar a competitividade no mercado, esse segmento precisa responder rapidamente ?s press?es (externas e internas), adequando-se aos novos padr?es exigidos de maneira estrat?gica na obten??o do selo verde. Os postos t?m incorporado novas estrat?gias para atrair e fidelizar clientes cada vez mais exigentes. No ?mbito social, esses empreendimentos auxiliam a economia local com a gera??o de empregos e distribui??o de renda. Mediante esse contexto, o presente trabalho tem como objetivo alinhar as dimens?es social, econ?mica e ambiental caracterizando a mensura??o do desempenho sustent?vel nos postos de revenda de combust?vel na cidade do Natal/RN. As perspectivas do Balanced Scorecard Sustent?vel (SBSC) foram fundamentadas por meio de um conjunto de indicadores para mapear o processo produtivo dos postos. Esse mapeamento visou identificar a inefici?ncia operacional por meio de indicadores multidimensionais. Na condu??o desta pesquisa, elaborou-se um sistema de avalia??o do desempenho sustent?vel com aplica??o do Data Envelopment Analysis (DEA), uma abordagem quantitativa para detectar o n?vel de efici?ncia do sistema. Com o intuito de compreender a complexidade sist?mica, os sub processos organizacionais foram analisados por meio da t?cnica Network Data Envelopment Analysis (NDEA) com o desmembramento das suas micro atividades para identificar e diagnosticar as reais causas de inefici?ncia. O tamanho amostral foi composto por 33 postos de revenda de combust?vel e o modelo conceitual contemplou 15 indicadores distribu?dos nas tr?s dimens?es da sustentabilidade: social, ambiental e econ?mica. Essas tr?s dimens?es foram mensuradas por meio de modelos cl?ssicos DEA-CCR com orienta??o input. Visando unificar o escore de desempenho individual das dimens?es, foi elaborado um ?nico ?ndice considerado parcialmente agrupado por meio de duas m?dias: aritm?tica e ponderada. Posteriormente, outra an?lise foi realizada para mensurar as quatro perspectivas do SBSC: aprendizado e crescimento; processos internos; clientes; e, financeira, unificando, por meio da m?dia os escores de desempenho. Os resultados do modelo NDEA apontaram que nenhuma empresa foi avaliada com excel?ncia no desempenho sustent?vel. Os postos com maiores ?ndices de efici?ncia mostraram-se ineficientes em determinadas perspectivas do SBSC. Na sequ?ncia, as an?lises apresentaram uma avalia??o do desempenho sustent?vel e das perspectivas de maneira comparativa entre os postos, possibilitando aos empres?rios avaliarem seu desempenho entre os concorrentes. Foram tamb?m obtidos diagn?sticos para subsidiar a tomada de decis?o dos empres?rios na melhoria do gerenciamento dos recursos organizacionais e promover diretrizes balizadoras nos ?rg?os regulamentadores. O escore m?dio do desempenho sustent?vel foi 69,42% representando os esfor?os empreendidos na adequa??o ambiental dos postos. Isso sinaliza uma consider?vel consci?ncia desse segmento, por?m ainda necessita de novas a??es para incrementar a sustentabilidade no longo prazo