IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v15y2022i3d10.1007_s12063-022-00261-z.html
   My bibliography  Save this article

Analysis of efficiency and performance of global retail supply chains using integrated fuzzy SWARA and fuzzy EATWOS methods

Author

Listed:
  • Ömer Faruk Görçün

    (Kadir Has University)

  • Sarfaraz Hashemkhani Zolfani

    (Catholic University of the North)

  • Mustafa Çanakçıoğlu

    (Kadir Has University)

Abstract

The current paper aims to fill the two severe and significant gaps in the literature related to global retail chains. First, it presents the criteria set identified by performing comprehensive fieldwork together with experts highly experienced and have extensive knowledge of the retailing industry and a detailed literature review. Secondly, it proposes a robust, applicable, and powerful novel integrated MCDM framework dealing with many complicated uncertainties. As one of the significant practical and managerial implications, the current paper highlights the significance of sustainable retailing operations to better global retail chains. After the proposed model was implemented, a comprehensive sensitivity analysis was performed to test the validation of the model and its obtained results. According to the validation test results, A12 Walmart&ASDA has remained the best option for all scenarios. It has been observed that there are slight changes that did not change the overall results in the ranking performance of some decision alternatives. As a result, the analysis results prove that the proposed integrated fuzzy approach can be applied to solve highly complex decision-making problems encountered in various fields and the retailing industry.

Suggested Citation

  • Ömer Faruk Görçün & Sarfaraz Hashemkhani Zolfani & Mustafa Çanakçıoğlu, 2022. "Analysis of efficiency and performance of global retail supply chains using integrated fuzzy SWARA and fuzzy EATWOS methods," Operations Management Research, Springer, vol. 15(3), pages 1445-1469, December.
  • Handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00261-z
    DOI: 10.1007/s12063-022-00261-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-022-00261-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12063-022-00261-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bernhard Swoboda & Thomas Foscht & Gérard Cliquet, 2008. "International value chain processes by retailers and wholesalers --A general approach," Post-Print halshs-00241557, HAL.
    2. Perrigot, Rozenn & Barros, Carlos Pestana, 2008. "Technical efficiency of French retailers," Journal of Retailing and Consumer Services, Elsevier, vol. 15(4), pages 296-305.
    3. Wang, Shouhong, 2006. "Comments on operational competitiveness rating analysis (OCRA)," European Journal of Operational Research, Elsevier, vol. 169(1), pages 329-331, February.
    4. Swoboda, Bernhard & Foscht, Thomas & Cliquet, Gérard, 2008. "International value chain processes by retailers and wholesalers — A general approach," Journal of Retailing and Consumer Services, Elsevier, vol. 15(2), pages 63-77.
    5. Yu, Wantao & Ramanathan, Ramakrishnan, 2009. "An assessment of operational efficiency of retail firms in China," Journal of Retailing and Consumer Services, Elsevier, vol. 16(2), pages 109-122.
    6. Susan Christopherson, 2007. "Barriers to 'US style' lean retailing: the case of Wal-Mart's failure in Germany," Journal of Economic Geography, Oxford University Press, vol. 7(4), pages 451-469, July.
    7. Shouhong Wang & Hai Wang, 2005. "The mystification of operational competitiveness rating analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(8), pages 535-538.
    8. Kyungwan Ko & Meehyang Chang & Eun-Song Bae & Daecheol Kim, 2017. "Efficiency Analysis of Retail Chain Stores in Korea," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    9. Sen Guo & Wenyue Zhang & Xiao Gao, 2020. "Business Risk Evaluation of Electricity Retail Company in China Using a Hybrid MCDM Method," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    10. Wang, Charles X. & Qian, Zhuang & Zhao, Yabing, 2018. "Impact of manufacturer and retailer's market pricing power on customer satisfaction incentives in supply chains," International Journal of Production Economics, Elsevier, vol. 205(C), pages 98-112.
    11. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
    12. Simon, Herbert A, 1979. "Rational Decision Making in Business Organizations," American Economic Review, American Economic Association, vol. 69(4), pages 493-513, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Radojko LUKIC, 2023. "Analysis of the Trade Performance of the European Union and Serbia on the Base of FF-WASPAS and WASPAS Methods," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 24(2), pages 228-250, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dimitris Balios & Nikolaos Eriotis & Alexandra Fragoudaki & Dimitrios Giokas, 2015. "Economic efficiency of Greek retail SMEs in a period of high fluctuations in economic activity: a DEA approach," Applied Economics, Taylor & Francis Journals, vol. 47(33), pages 3577-3593, July.
    2. Kyungwan Ko & Meehyang Chang & Eun-Song Bae & Daecheol Kim, 2017. "Efficiency Analysis of Retail Chain Stores in Korea," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    3. Dimitrios Giokas & Nicolaos Eriotis & Ioannis Dokas, 2015. "Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1927-1941, April.
    4. Nomita Pachar & Jyoti Dhingra Darbari & Kannan Govindan & P. C. Jha, 2022. "Sustainable performance measurement of Indian retail chain using two-stage network DEA," Annals of Operations Research, Springer, vol. 315(2), pages 1477-1515, August.
    5. Gupta, Anshu & Pachar, Nomita & Jain, Akansha & Govindan, Kannan & Jha, P.C., 2023. "Resource reallocation strategies for sustainable efficiency improvement of retail chains," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Sinha, Rajesh Kumar & Adhikari, Atanu, 2018. "Buyer-seller amount-price equilibrium for prepaid services: Implication for promotional pricing," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 285-292.
    7. Neves Bezerra de Melo, Felipe Luiz & Sampaio, Raquel Menezes Bezerra & Sampaio, Luciano Menezes Bezerra, 2018. "Efficiency, productivity gains, and the size of Brazilian supermarkets," International Journal of Production Economics, Elsevier, vol. 197(C), pages 99-111.
    8. Daunfeldt, Sven-Olov & Engberg, Erik & Halvarsson, Daniel & Kokko, Ari & Tingvall, Patrik, 2019. "Wholesale firms: A catalyst for Swedish exports?," Ratio Working Papers 328, The Ratio Institute.
    9. Ender Coskun & Abdulvahap Ozcan, 2016. "Finansal Sikinti Surecinde Sirketlerin Etkinlik Duzeylerinin Belirlenmesi," EconWorld Working Papers 16001, WERI-World Economic Research Institute, revised Apr 2016.
    10. Chia-Nan Wang & Thanh-Tuan Dang & Ngoc-Ai-Thy Nguyen & Thi-Thu-Hong Le, 2020. "Supporting Better Decision-Making: A Combined Grey Model and Data Envelopment Analysis for Efficiency Evaluation in E-Commerce Marketplaces," Sustainability, MDPI, vol. 12(24), pages 1-24, December.
    11. Nana Zhang & Liang Mei, 2020. "Sustainable Development in the Service Industry: Managerial Learning and Management Improvement of Chinese Retailers," Sustainability, MDPI, vol. 12(4), pages 1-17, February.
    12. Cao, Lanlan & Navare, Jyoti & Jin, Zhongqi, 2018. "Business model innovation: How the international retailers rebuild their core business logic in a new host country," International Business Review, Elsevier, vol. 27(3), pages 543-562.
    13. Manuel Xavier, José & Ferreira Moutinho, Victor & Carrizo Moreira, António, 2015. "An empirical examination of performance in the clothing retailing industry: A case study," Journal of Retailing and Consumer Services, Elsevier, vol. 25(C), pages 96-105.
    14. Yu, Wantao & Ramanathan, Ramakrishnan, 2009. "An assessment of operational efficiency of retail firms in China," Journal of Retailing and Consumer Services, Elsevier, vol. 16(2), pages 109-122.
    15. Mustafa Canakcıoglu, 2019. "Evaluation Of Banking Performance Of The Balkan Countries With An Integrated Mcdm Approach Consist Of Entropy And Ocra Techniques," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 13(1), pages 341-366.
    16. Francisco B. Galarza & Gabriella Wong, 2017. "The Impact of Price Information on Consumer Behavior: An Experiment," Working Papers 106, Peruvian Economic Association.
    17. Castro, Luciano de & Galvao, Antonio F. & Kim, Jeong Yeol & Montes-Rojas, Gabriel & Olmo, Jose, 2022. "Experiments on portfolio selection: A comparison between quantile preferences and expected utility decision models," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
    18. repec:cup:judgdm:v:1:y:2006:i::p:162-173 is not listed on IDEAS
    19. Rausser, Gordon C. & de Janvry, Alain & Schmitz, Andrew & Zilberman, David D., 1980. "Principal issues in the evaluation of public research in agriculture," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt74v9m7dh, Department of Agricultural & Resource Economics, UC Berkeley.
    20. DeCanio, Stephen J. & Watkins, William E., 1998. "Information processing and organizational structure," Journal of Economic Behavior & Organization, Elsevier, vol. 36(3), pages 275-294, August.
    21. Briec, Walter & Kerstens, Kristiaan, 2009. "Multi-horizon Markowitz portfolio performance appraisals: A general approach," Omega, Elsevier, vol. 37(1), pages 50-62, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:opmare:v:15:y:2022:i:3:d:10.1007_s12063-022-00261-z. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.