A STATE-OF-THE-ART REVIEW OF THE BWM METHOD AND FUTURE RESEARCH AGENDA
Affiliation:
1. Sub-Department of Operations Research, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, Afyonkarahisar, Turkey
Abstract
The superiority of BWM over other weighting methods for obtaining the weight values of the attributes is that it achieves high-confidence results with a reasonable number of pairwise comparisons. Although the best-worst method (BWM) is a well-known multi-criteria decision-making (MCDM) method that has been successfully utilized in almost all scientific areas to solve challenging real-life problems, no research has comprehensively examined the state-of-the-art in this regard. The present study depicts a detailed overview of publications concerned with BWM during the period 2015–2022. Based on the information obtained from the Scopus database, this work presents a big picture of current research on BWM. In other words, this paper analyzes the existing literature about BWM and identifies thematic contexts, application areas, emerging trends, and remaining research gaps to shed light on future research agendas aligning with those gaps. Further, the most recent BWM research is analyzed in the top ten scientific areas, from engineering to materials science. “Engineering”, “computer science”, and “business, management, and accounting” are the hottest fields of BWM research. China is the most active country regarding “engineering” and “computer science”, whereas India is the leader in “business, management, and accounting”. The study also reveals that there are still many research gaps in BWM research. The big picture taken in this study will not only showcase the current situation of BWM research but will also positively impact the direction and quality of new research.
Publisher
Vilnius Gediminas Technical University
Reference92 articles.
1. Abbasi Kamardi, A., Amoozad Mahdiraji, H., Masoumi, S., & Jafari-Sadeghi, V. (2022). Developing sustainable competitive advantages from the lens of resource-based view: Evidence from IT sector of an emerging economy. Journal of Strategic Marketing, 1-23. https://doi.org/10.1080/0965254X.2022.2160485 2. Aboutorab, H., Saberi, M., Asadabadi, M. R., Hussain, O., & Chang, E. (2018). ZBWM: The Z-number extension of Best Worst Method and its application for supplier development. Expert Systems with Applications, 107, 115-125. https://doi.org/10.1016/j.eswa.2018.04.015 3. Ahmad, S., Masood, S., Khan, N. Z., Badruddin, I. A., Ompal, Ahmadian, A., Khan, Z. A., & Khan, A. H. (2023). Analysing the impact of COVID-19 pandemic on the psychological health of people using fuzzy MCDM methods. Operations Research Perspectives, 10, Article 100263. https://doi.org/10.1016/j.orp.2022.100263 4. Ahmad, W. N. K. W., Rezaei, J., Sadaghiani, S., & Tavasszy, L. A. (2017). Evaluation of the external forces affecting the sustainability of oil and gas supply chain using Best Worst Method. Journal of Cleaner Production, 153, 242-252. https://doi.org/10.1016/j.jclepro.2017.03.166 5. Alamoodi, A. H., Zaidan, B. B., Albahri, O. S., Garfan, S., Ahmaro, I. Y., Mohammed, R. T., Zaidan, A. A. Ritahani Ismail, A., Albahri, A. S., Momani, F., Al-Samarraay, M. S., Najm Jasim, A., & Malik, R. Q. (2023). Systematic review of MCDM approach applied to the medical case studies of COVID-19: Trends, bibliographic analysis, challenges, motivations, recommendations, and future directions. Complex & Intelligent Systems, 9, 4705-4731. https://doi.org/10.1007/s40747-023-00972-1
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