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A State-of the-Art Survey of Best-Worst Method Applications for the Problems Related to COVID-19

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Advances in Best-Worst Method (BWM 2022)

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Abstract

The best-worst method (BWM) and its variations have been widely utilized in decision making problems since 2015. During the COVID-19 pandemic, several problems occurred considering the decision making related to legislative, health system, precautions, transportation, and economic decisions. The aim of this paper is to analyze the state-of the-art survey of BWM applications for the problem related to COVID-19. To do so, a bibliographic analysis of literature is conducted. “COVID-19” and “best-worst method” are searched in the Scopus database as keywords, and 40 studies out of 47 studies are taken into consideration. Keywords and abstracts of these studies are analyzed with the N-grams approach and VOSviewer software. In addition, a descriptive analysis is done focusing on the authors’ information and journals. The descriptive analysis demonstrates the topics in the retrieved studies comprehend COVID-19 and BWM with sustainable development goals, healthcare technology, supply chain, risk management, energy consumption, and logistics topics. The descriptive analysis part reveals that supply chain, service quality, social sustainability, supplier selection, sustainable development, green supply, and energy usage are the main topics in the considered literature.

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References

  1. Pamučar, D., Ecer, F., Cirovic, G., Arlasheedi, M.A.: Application of improved best worst method (BWM) in real-world problems. Mathematics 8(8), 1342 (2020)

    Article  Google Scholar 

  2. Rezaei, J.: Best-worst multi-criteria decision-making method. Omega 53, 49–57 (2015)

    Article  Google Scholar 

  3. Cavnar, W.B., Trenkle, J.M.: N-gram-based text categorization n-gram-based text categorization. In: Proc. Third Annu. Symp. Doc. Anal. Inf. Retr., pp. 1–14 (2001)

    Google Scholar 

  4. Gurcan, F., Cagiltay, N.E.: Research trends on distance learning: a text mining-based literature review from 2008 to 2018. Interact. Learn. Environ. 1–22 (2020)

    Google Scholar 

  5. Petrudi, S.H.H., Ahmadi, H.B., Rehman, A., Liou, J.J.H.: Assessing suppliers considering social sustainability innovation factors during COVID-19 disaster. Sustain. Prod. Consum. 27, 1869–1881 (2021)

    Article  Google Scholar 

  6. Ilyas, M., Carpitella, S., Zoubir, E.: Designing supplier selection strategies under COVID-19 constraints for industrial environments. Procedia CIRP 100, 589–594 (2021)

    Article  Google Scholar 

  7. Rajak, S., et al.: Issues and analysis of critical success factors for the sustainable initiatives in the supply chain during COVID-19 pandemic outbreak in India: a case study. Res. Transp. Econ. 93, 101114 (2021). https://doi.org/10.1016/j.retrec.2021.101114

    Article  Google Scholar 

  8. Kumar, A., Mangla, S.K., Kumar, P., Song, M.: Mitigate risks in perishable food supply chains: learning from COVID-19. Technol. Forecast. Soc. Change 166, 120643 (2021)

    Article  Google Scholar 

  9. Chen, Z.H., Wan, S.P., Dong, J.Y.: An efficiency-based interval type-2 fuzzy multi-criteria group decision making for makeshift hospital selection. Appl. Soft Comput. 115, 108243 (2022)

    Article  Google Scholar 

  10. Chauhan, A., Jakhar, S.K., Jabbour, C.J.C.: Implications for sustainable healthcare operations in embracing telemedicine services during a pandemic. Technol. Forecast. Soc. Change 176, 121462 (2022)

    Article  Google Scholar 

  11. Gong, J.W., Liu, H.C., You, X.Y., Yin, L.: An integrated multi-criteria decision making approach with linguistic hesitant fuzzy sets for e-learning website evaluation and selection. Appl. Soft Comput. 102, 107118 (2021)

    Google Scholar 

  12. Seyfi-Shishavan, S.A., Gündoğdu, F.K., Farrokhizadeh, E.: An assessment of the banking industry performance based on Intuitionistic fuzzy Best-Worst method and fuzzy inference system. Appl. Soft Comput. 113, 107990 (2021)

    Article  Google Scholar 

  13. Ali, T., Aghaloo, K., Chiu, Y.R., Ahmad, M.: Lessons learned from the COVID-19 pandemic in planning the future energy systems of developing countries using an integrated MCDM approach in the off-grid areas of Bangladesh. Renew. Energy 189, 25–38 (2022)

    Article  Google Scholar 

  14. Charoennapharat, T., Chaopaisarn, P.: Factors affecting multimodal transport during CoViD-19: a Thai service provider perspective. Sustainability 14(8), 4838 (2022)

    Article  Google Scholar 

  15. Gupta, H., Yadav, A.K., Kusi-Sarpong, S., Khan, S.A., Sharma, S.C.: Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic. Technol. Soc. 69, 101970 (2022)

    Article  Google Scholar 

  16. Munim, Z.H., Mohammadi, M., Shakil, M.H., Ali, S.M.: Assessing measures implemented by export-oriented RMG firms in an emerging economy during COVID-19. Comput. Ind. Eng. 165, 107963 (2022)

    Article  Google Scholar 

  17. Abdel-Basst, M., Mohamed, R., Elhoseny, M.: A model for the effective COVID-19 identification in uncertainty environment using primary symptoms and CT scans. Health Inform. J. 26, 3088–3105 (2020)

    Article  Google Scholar 

  18. Moslem, S., et al.: Best-worst method for modelling mobility choice after COVID-19: evidence from Italy. Sustainability 12, 1–19 (2020)

    Article  Google Scholar 

  19. Ranjbari, M., Shams Esfandabadi, Z., Scagnelli, S.D., Siebers, P.O., Quatraro, F.: Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surface. Environ. Dev. Sustain. 23, 16646–16673 (2021)

    Article  Google Scholar 

  20. Ahmad, N., Hasan, M.G., Barbhuiya, R.K.: Identification and prioritization of strategies to tackle COVID-19 outbreak: a group-BWM based MCDM approach. Appl. Soft Comput. 111, 107642 (2021)

    Article  Google Scholar 

  21. Sarker, M.R., Moktadir, M.A., Santibanez-Gonzalez, E.D.R.: Social Sustainability Challenges Towards Flexible Supply Chain Management: Post-COVID-19 Perspective. Glob. J. Flex. Syst. Manag. 22, 199–218 (2021). https://doi.org/10.1007/s40171-021-00289-3

    Article  Google Scholar 

  22. Aydin, N., Seker, S.: Determining the location of isolation hospitals for COVID-19 via Delphi-based MCDM method. Int. J. Intell. Syst. 36(6), 3011–3034 (2021). https://doi.org/10.1002/int.22410

    Article  Google Scholar 

  23. Ayyildiz, E.: Interval valued intuitionistic fuzzy analytic hierarchy process-based green supply chain resilience evaluation methodology in post COVID-19 era. Environ. Sci. Pollut. Res. 1–19 (2021).https://doi.org/10.1007/s11356-021-16972-y

  24. Sharma, M., Luthra, S., Joshi, S., Kumar, A.: Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects. J. Enterp. Inf. Manag. 34, 1844–1873 (2021)

    Article  Google Scholar 

  25. Chang, S.C., Lu, M.T., Chen, M.J., Huang, L.H.: Evaluating the application of csr in the high-tech industry during the covid-19 pandemic. Mathematics 9, 1–16 (2021)

    Article  Google Scholar 

  26. Su, Z., Zhang, M., Wu, W.: Visualizing sustainable supply chain management: a systematic scientometric review. Sustainability 13(8), 4409 (2021)

    Article  Google Scholar 

  27. Duan, Y., et al.: Risk evaluation of electric power grid investment in China employing a hybrid novel MCDM method. Mathematics 9, 1–23 (2021)

    Article  Google Scholar 

  28. Wan, S.P., Chen, Z.H., Dong, J.Y.: An integrated interval type-2 fuzzy technique for democratic–autocratic multi-criteria decision making. Knowl.-Based Syst. 214, 106735 (2021)

    Article  Google Scholar 

  29. Foong, S.Z.Y., et al.: A criticality index for prioritizing economic sectors for post-crisis recovery in oleo-chemical industry. J. Taiwan Inst. Chem. Eng. 130, 103957 (2021)

    Article  Google Scholar 

  30. Afrasiabi, A., Tavana, M., Di Caprio, D.: An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environ. Sci. Pollut. Res. 29, 37291–37314 (2021). https://doi.org/10.1007/s11356-021-17851-2

    Article  Google Scholar 

  31. Gupta, A., Singh, R.K.: Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors. Int. J. Logist. Res. Appl. 1–22 (2021)

    Google Scholar 

  32. Haqbin, A., Shojaei, P., Radmanesh, S.: Prioritising COVID-19 recovery solutions for tourism small and medium-sized enterprises: a rough best-worst method approach. J. Decis. Syst. 31, 102–115 (2021)

    Article  Google Scholar 

  33. Chauhan, A., Jakhar, S.K., Kumar Mangla, S.: Socio-technological framework for selecting suppliers of pharmaceuticals in a pandemic environment. J. Enterp. Inf. Manag. (2022). https://doi.org/10.1108/JEIM-02-2021-0081

    Article  Google Scholar 

  34. Hsu, W.C.J., Lo, H.W., Yang, C.C.: The formulation of epidemic prevention work of covid-19 for colleges and universities: priorities and recommendations. Sustainability 13, 1–19 (2021)

    Article  Google Scholar 

  35. Jain, R., Rana, K.B., Meena, M.L.: An integrated multi-criteria decision-making approach for identifying the risk level of musculoskeletal disorders among handheld device users. Soft Comput. (2021).https://doi.org/10.1007/s00500-021-05592-w

  36. Kheybari, S., Ishizaka, A., Salamirad, A.: A new hybrid risk-averse best-worst method and portfolio optimization to select temporary hospital locations for Covid-19 patients. J. Oper. Res. Soc. 1–18 (2021)

    Google Scholar 

  37. Vimal, K.E.K., et al.: Modelling the strategies for improving maturity and resilience in medical oxygen supply chain through digital technologies. J. Glob. Oper. Strateg. Sourc. (2022). https://doi.org/10.1108/JGOSS-10-2021-0088

    Article  Google Scholar 

  38. Kumar, P., Kumar Singh, R.: Strategic framework for developing resilience in agri-food supply chains during COVID 19 pandemic. Int. J. Logist. Res. Appl. 1–24 (2021)

    Google Scholar 

  39. Sivakumar, G., Almehdawe, E., Kabir, G.: Developing a decision-making framework to improve healthcare service quality during a pandemic. Appl. Syst. Innov. 5, 1–21 (2022)

    Google Scholar 

  40. Pamucar, D., Deveci, M., Canıtez, F., Paksoy, T., Lukovac, V.: A novel methodology for prioritizing zero-carbon measures for sustainable transport. Sustain. Prod. Consum. 27, 1093–1112 (2021)

    Article  Google Scholar 

  41. Tapsall, S., Soutar, G.N., Elliott, W.A., Mazzarol, T., Holland, J.: COVID-19’s impact on the perceived risk of ocean cruising: a best-worst scaling study of Australian consumers. Tour. Econ. 28, 248–271 (2022)

    Article  Google Scholar 

  42. Paul, S.K., Moktadir, M.A., Ahsan, K.: Key supply chain strategies for the post-COVID-19 era: implications for resilience and sustainability. Int. J. Logist. Manag. (2021). https://doi.org/10.1108/IJLM-04-2021-0238

    Article  Google Scholar 

  43. Yalcin Kavus, B., Gulum Tas, P., Ayyildiz, E., Taskin, A.: A three-level framework to evaluate airline service quality based on interval valued neutrosophic AHP considering the new dimensions. J. Air Transp. Manag. 99, 102179 (2022)

    Article  Google Scholar 

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Authors and Affiliations

  1. Industrial Engineering Department, Gaziantep University, 27100, Gaziantep, Turkey

    İbrahim Miraç Eligüzel & Eren Özceylan

Authors
  1. İbrahim Miraç Eligüzel
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  2. Eren Özceylan
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Correspondence to İbrahim Miraç Eligüzel .

Editor information

Editors and Affiliations

  1. Technology, Policy and Management, Delft University of Technology, Delft, The Netherlands

    Jafar Rezaei

  2. Department of Industrial Engineering, University of Trento, Trento, Italy

    Matteo Brunelli

  3. Vrije Universiteit Amsterdam (VU Amsterdam), Amsterdam, The Netherlands

    Majid Mohammadi

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Eligüzel, İ.M., Özceylan, E. (2023). A State-of the-Art Survey of Best-Worst Method Applications for the Problems Related to COVID-19. In: Rezaei, J., Brunelli, M., Mohammadi, M. (eds) Advances in Best-Worst Method. BWM 2022. Lecture Notes in Operations Research. Springer, Cham. https://doi.org/10.1007/978-3-031-24816-0_2

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