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Evaluation of retail ındustry performance ability through ıntegrated ıntuitionistic fuzzy TOPSIS and data envelopment analysis approach

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Abstract

This research proposes a performance evaluation model for the retail industry (RI) through an integrated intuitionistic fuzzy Technique for Order of Preference by Similarity to Ideal Solution (IF-TOPSIS) and data envelopment analysis (DEA). In the literature, DEA is one of the most commonly applied methods for RI evaluation to measure the relative efficiency of peer decision-making units (DMUs). This research proposes a decision-making algorithm with a hierarchical structure to find performance efficiencies. The objective of this research is to develop the performance evaluation process for RI in Turkey by utilizing both qualitative and quantitative criteria. Firstly, IF-TOPSIS is applied to handle more complex problems in which the decision-maker has some uncertainty and hesitation in assigning qualitative preference values for the considered objects. Secondly, the alternatives based on both qualitative and quantitative data are formulated by DEAs to classify RI performance evaluation. The results imply that using IF-TOPSIS value as the only output into DEA classification is more accurate than just using the entire quantitative variables. The results show that the combination of the two methods is suitable for any number of DMUs.

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References

  • Anbanandam R, Banwet DK, Shankar R (2011) Evaluation of supply chain collaboration: a case of apparel retail industry in India. Int J Prod Perform Manag 60(2):82–98

    Article  Google Scholar 

  • Assaf G, Barros C, Sellers-Rubio R (2011) Efficiency determinants in retail stores: a Bayesian framework. Omega 39(3):283–292. https://doi.org/10.1016/j.omega.2010.07.005

    Article  Google Scholar 

  • Atanassov KT (1986) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20:87–96

    Article  Google Scholar 

  • Atanassov KT (1999) Intuitionistic fuzzy sets. Physica, Heidelberg

    Book  Google Scholar 

  • Athanassopoulos A (1995) Performance improvement decision aid systems (PIDAS) in retailing organisations using data envelopment analysis. J Prod Anal 6(2):153–170

    Article  Google Scholar 

  • Athanassopoulos A (2003) Strategic groups, frontier benchmarking and performance differences: evidence from the UK retail superstore industry. J Manag Stud 40(4):921–953

    Article  Google Scholar 

  • Barros CP (2006) Efficiency measurement among hypermarkets and supermarkets and the identification of the efficiency drivers: a case study. Int J Retail Distrib Manag 34(2):135–154

    Article  Google Scholar 

  • Barros CP, Alves CA (2003) Hypermarket retail efficiency in Portugal. Int J Retail Distrib Manag 31(11):549–560

    Article  Google Scholar 

  • Barros CP, Alves CA (2004) An empirical analysis of productivity in a Portuguese retail chain using the Malmquist index. J Retai Consum Serv 11(5):269–278

    Article  Google Scholar 

  • Botti L, Briec W, Cliquet G (2009) Plural forms versus franchise and company owned systems: a DEA approach of hotel chain performance. Omega 37:566–578

    Article  Google Scholar 

  • Boussofianee A, Dyson R, Rhodes E (1991) Applied data envelopment analysis. Eur J Oper Res 52(1):1–15

    Article  Google Scholar 

  • Carrillo M, Jorge MJ (2016) A multiobjective DEA approach to ranking alternatives. Expert Syst Appl 50:130–139. https://doi.org/10.1016/j.eswa.2015.12.022

    Article  Google Scholar 

  • Cooper WW, Seiford LM, Zhu J (2004) Data envelopment analysis. In: Handbook on data envelopment analysis, pp 1–39

  • Cooper WW, Seiford LM, Zhu J (eds) (2011) Handbook on data envelopment analysis, vol 164. Springer, Berlin

    Google Scholar 

  • Donthu N, Yoo B (1998) Retail productivity assessment using data envelopment analysis. J Retail 74(1):89–105

    Article  Google Scholar 

  • Dsilva Winfred Rufuss D, Viswakumar RK, Suganthi L, Iniyan S, Davies PA (2018) Techno-economic analysis of solar stills using integrated fuzzy analytical hierarchy process and data envelopment analysis. Sol Energy 159:820–833. https://doi.org/10.1016/j.solener.2017.11.050

    Article  Google Scholar 

  • Duman GM, Tozanli O, Kongar E, Gupta SM (2017) A holistic approach for performance evaluation using quantitative and qualitative data: a food industry case study. Expert Syst Appl 81:410–422

    Article  Google Scholar 

  • Emrouznejad A (2001) DEA home page, Warwick business school coventry CV4 7AL, UK, 1995-2001. Electronic Publication. http://www.deazone.com/books/DEAsocioEcoPlanning.pdf

  • Ersoy N (2017) Performance measurement in retail ındustry by using a multi-criteria decision making methods. Ege Acad Rev 17(4):539–551. https://doi.org/10.21121/eab.2017431302

    Article  Google Scholar 

  • Ganley JA, Cubbin JS (1992) Public sector efficiency measurement: applications of data envelopment analysis. Elsevier, Amsterdam

    Google Scholar 

  • Gauri DK (2013) Benchmarking retail productivity considering retail pricing and format strategy. J Retail 89(1):1–14. https://doi.org/10.1016/j.jretai.2012.09.001

    Article  Google Scholar 

  • Grzegorzewski P (2004) Distances between intuitionistic fuzzy sets and/or intervalvalued fuzzy sets based on the Hausdorff metric. Fuzzy Set Syst 148:319–328

    Article  Google Scholar 

  • Keh HT, Chu S (2003) Retail productivity and scale economies at firm level: a DEA approach. Omega 31(2):75–82

    Article  Google Scholar 

  • Lim S, Zhu J (2016) A note on two-stage network DEA model: frontier projection and duality. Eur J Oper Res 248:342–346

    Article  MathSciNet  Google Scholar 

  • Lim S, Oh KW, Zhu J (2014) Use of DEA cross-efficiency evaluation in portfolio selection: an application to Korean stock market. Eur J Oper Res 236:361–368

    Article  MathSciNet  Google Scholar 

  • Lu W, Hung SW (2011) Exploring the efficiency and effectiveness in global e-retailing companies. Comput Oper Res 38(9):1351–1360. https://doi.org/10.1016/j.cor.2010.12.009

    Article  MATH  Google Scholar 

  • Perrigot R, Barros CP (2008) Technical efficiency of French retailers. J Retail Consum Serv 15(4):296–305

    Article  Google Scholar 

  • Rouyendegh BD (2011) The DEA and intuitionistic fuzzy TOPSIS approach to departments’ performances: a pilot study. J Appl Math. https://doi.org/10.1155/2011/712194

    Article  MATH  Google Scholar 

  • Rouyendegh BD (2012) Evaluating projects based on intuitionistic fuzzy group decision making. J Appl Math. https://doi.org/10.1155/2012/824265

    Article  MATH  Google Scholar 

  • Rouyendegh BD (2015) Developing an integrated ANP and intuitionistic fuzzy TOPSIS model for supplier selection. J Test Eval 43:664–672

    Article  Google Scholar 

  • Rouyendegh BD, Oztekin A, Ekong J, Dag A (2019) Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach. Ann Oper Res 278(1–2):361–378

    Article  MathSciNet  Google Scholar 

  • Sellers Rubio R, Mas-Ruiz F (2007) Different approaches to the evaluation of performance in retailing. Int Rev Retail Distrib Consum Res 17(5):503–552

    Google Scholar 

  • Sellers-Rubio R, Mas-Ruiz F (2006) Economic efficiency in supermarkets: evidences in Spain. Int J Retail Distrib Manag 34(2):155–171

    Article  Google Scholar 

  • Tavana M, Keramatpour M, Santos-Arteaga FJ, Ghorbaniane E (2015) A fuzzy hybrid project portfolio selection method using data envelopment analysis, TOPSIS and integer programming. Expert Syst Appl 42(22):8432–8444. https://doi.org/10.1016/j.eswa.2015.06.057

    Article  Google Scholar 

  • Thomas R, Barr R, Cron W, Slocum J (1998) A process for evaluating retail store efficiency: a restricted DEA approach. Int J Res Mark 15:487–503

    Article  Google Scholar 

  • Xu ZS (2007) Intuitionistic fuzzy aggregation operators. IEEE Trans Fuzzy Syst 15(6):1179–1187

    Article  Google Scholar 

  • Yinghui W, Wenlu L (2015) The application of intuitionistic fuzzy set TOPSIS method in employee performance appraisal. Int J u- e-Serv Sci Technol 8(3):329–344

    Article  Google Scholar 

  • Yu W, Ramanathan R (2009) An assessment of operational efficiency of retail firms in China. J Retail Consum Serv 16:109–122

    Article  Google Scholar 

  • Yu W, Ramanathan R, Nath P (2014) The impacts of marketing and operations capabilities on financial performance in the U.K. retail sector: a resource-based perspective. Ind Mark Manag 43(1):25–31

    Article  Google Scholar 

Download references

Acknowledgements

The first author (Babak Daneshvar Rouyendegh (Babek Erdebilli)) was supported by the TUBITAK (The Scientific and Technological Research Council of Turkey) under Grant B.14.2.TBT.0.06.01-21514107-020-155999. This study was presented in DEA40: International Conference of Data Envelopment Analysis.

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Authors and Affiliations

  1. Department of Industrial Engineering, Ankara Yıldırım Beyazıt University (AYBU), 06010, Ankara, Turkey

    Babak Daneshvar Rouyendegh, Abdullah Yildizbasi & Ibrahim Yilmaz

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  1. Babak Daneshvar Rouyendegh
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  2. Abdullah Yildizbasi
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  3. Ibrahim Yilmaz
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Correspondence to Babak Daneshvar Rouyendegh.

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Rouyendegh, B.D., Yildizbasi, A. & Yilmaz, I. Evaluation of retail ındustry performance ability through ıntegrated ıntuitionistic fuzzy TOPSIS and data envelopment analysis approach. Soft Comput 24, 12255–12266 (2020). https://doi.org/10.1007/s00500-020-04669-2

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