EFFICIENCY OF THE SUPERMARKET SECTOR IN THE STATE OF RIO DE JANEIRO BETWEEN 2013 AND 2022
DOI:
https://doi.org/10.47682/2675-6552.a2023v1n1p01-17Palavras-chave:
Retail, Data Envelopment Analysis, EfficiencyResumo
The retail sector in Brazil has been making great strides in recent decades, going from revenue of R$224.3 billion to R$611.2 billion in 2021, a result that reflects 7.03% of the Brazilian World Domestic Product (GDP), being one of the most important sectors of the country's economy (ABRAS, 2022). Intense competition has been causing changes in the service offered by the sector, redefining traditional activities in order to attach characteristics of other formats or directing its activities to a more specific niche. This study aims to carry out a historical analysis of efficiency, from 2013 to 2022, of the retail chains listed in the 2022 ABRAS Ranking in the state of Rio de Janeiro, using the DEA (Data Envelopment Analysis) calculation. Through the analysis, it was observed that establishing a single criterion of organizational and operational performance based only on revenue results does not reflect the relative efficiency of each retailer. The results showed that of the 21 retailers presented in the ranking, only eight showed maximum efficiency in the year 2022. Three of these were positioned after the tenth place in the ABRAS 2022 ranking.
Referências
ABRAS – Associação Brasileira de Supermercados. Disponível em: <https://www.abras.com.br/edicoes-anteriores/Main.php?MagNo=280>, 2022.
ANGULO-MEZA, L., BIONDI NETO, L., SOARES de MELLO, J. C. C. B., GOMES, E. G. ISYDS - Integrated System for Decision Support: A Software Package for Data Envelopment Analysis Model. Pesquisa Operacional, Rio de Janeiro, n. 25, p. 493-503, set./dez. 2005.
BANKER, R., EMROUZNEJAD, A., LOPES, A. L. M., & ALMEIDA, M. R. de. (2012). Data Envelopment Analysis: Theory and Applications. 10th International Conference on DEA, 1, 1–305.
BANKER, R. D., CHARNES, A., & COOPER, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9).
CHARNES, A. W.W. COOPER, RHODES E., (1978) Measuring the Efficiency of Decision Making Units, European Journal of Operational Research.
FU, H.-P., CHANG, T.-H., SHIEH, L.-F., LIN, A., & LIN, S.-W. (2015). Applying DEA–BPN to Enhance the Explanatory Power of Performance Measurement, Systems Research and Behavioral Science, Wiley Blackwell, vol. 32(6), pages 707-720, November.
FENYVES, V.; TARNÓCZI, T. (2020): Data Envelopment Analysis For Measuring Performance In A Competitive Market. Problems And Perspectives In Management.18(1).
FERREIRA, M. A. M., VENÂNCIO, M. M., & ABRANTES, L. A. (2009). Análise da eficiência do setor de supermercados no Brasil. Economia Aplicada, 13(2), 333–347.
GANDHI, A., SHANKAR, R. (2014). Efficiency measurement of Indian retailers using Data Envelopment Analysis. International Journal of Retail & Distribution Management, 42(6).
GIL, A.C. Métodos e Técnicas de Pesquisa Social. 6. ed. São Paulo: Atlas, 2009.
GOIC, M., BOSCH, M., CASTRO, J. P. (2015) Detecting inefficiently managed categories in a retail store, Journal of the Operational Research Society, 66:1.
GONG, Y., LIU, J., ZHU, J. (2019). When to increase firms’ sustainable operations for efficiency? A data envelopment analysis in the retailing industry. European Journal of Operational Research.
LAU, K. H. (2013). Measuring distribution efficiency of a retail network through data envelopment analysis. International Journal of Production Economics, 146(2).
LOVELL, C.A.K. Production frontiers and productive efficiency. In: FRIED, H. O.; LOVELL, C.A.K.; SCHMIDT, S.S. (eds.), The measurement of productive efficiency. New York, Oxford University, 1993.
LINS, M. P. E.; DE LYRA NOVAES, L. F.; LEGEY, L. F. L. Real estate appraisal: A double perspective data envelopment analysis approach. Annals of Operations Research, v. 138, n. 1, p. 79-96, 2005.
LIU, J., GONG, Y. (Yale), ZHU, J., & ZHANG, J. (2018). A DEA-based approach for competitive environment analysis in global operations strategies. International Journal of Production Economics, 203.
MARIANO, E. B.; ALMEIDA, M. R.; REBELATTO, D. A. N. Peculiaridades da Análise por Envoltória de Dados. Anais do XII SIMPEP, 2006.
MATTAR, F. N. Pesquisa de marketing: metodologia, planejamento, execução e análise. 2ed. São Paulo: Atlas, 1994.
MELLO, J. C. C. B. S. de; MEZA, L. A; GOMES, E. G; BIONDI NETO, L. Curso de análise de envoltória de dados. Simpósio Brasileiro de Pesquisa Operacional, 37, 2005, Gramado. Anais. Gramado: SOBRAPO, 2005.
MELLO, S; J.C.C.B. & GOMES, E.G. (2004). Eficiências Aeroportuárias: Uma Abordagem Comparativa com Análise de Envoltória de Dados. Revista de Economia e Administração, 3(1).
NEVES, M.F. e WEDEKIN, I. "Sistema de distribuição de alimentos: o impacto das novas tecnologias". Revista de Administração da Universidade de São Paulo - RAUSP, v. 30, n. 4, 1995.
PEÑA, C. R. (2008). Um modelo de avaliação da eficiência da administração pública através do método análise envoltória de dados (DEA). Revista de Administração Contemporânea, 12(1), 83–106.
SANTOS, A. M. M. M., COSTA, C. S. Características gerais do varejo no Brasil. BNDES Setorial, Rio de Janeiro, n. 5, p. 55-69, mar. 1997.
SILVA JUNIOR, J. C. A., NODARI, D., CAVALHEIRO, M. O., & VICTOR, F. G. (2020). Performance of supermarkets in Santa Catarina: an analysis of small and medium-sized units. Gestão & Produção, 27(4).
SONZA, I. B.; CERETTA, P. S. Utilização do DEA para análise da eficiência nos supermercados brasileiros. In: Congresso USP: Iniciação Científica em Contabilidade, 5, 2008, São Paulo, Anais, São Paulo, 2008.
ZERVOPOULOS, P. D., BRISIMI, T. S., EMROUZNEJAD, A., & CHENG, G. (2016). Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US. European Journal of Operational Research, 250(1).
Downloads
Publicado
Como Citar
Edição
Seção
Licença
Copyright (c) 2023 RINTERPAP - Revista Interdisciplinar de Pesquisas Aplicadas
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
A Revista Interdisciplinar de Pesquisas Aplicadas (RINTERPAP) obedece aos termos da licença Creative Commons 4.0 (http://creativecommons.org/licenses/by-nc-nd/4.0/br/deed.pt), atribuição não comercial e sem derivações, em consonância com a legislação autoral brasileira, Lei 9.610/98.
