Linking supplier development to supplier segmentation using Best Worst Method

By Jafar Rezaei, Jing Wang, Lori Tavasszy. Expert systems with applications, 2015

376 citations recorded by the source corpus.

Subfields: Management Information Systems, Management of Technology and Innovation, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/1dfdb3b9883e8d83f75f54f1a671f851bf11a967

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

In Management of Technology and Innovation

In Management Science and Operations Research

Citations in the corpus

Analytical hierarchy process: revolution and evolution (2021, methodology): “The BWM, presented by Rezaei (2015), constitutes another criteria weighting technique that has become quite popular in the literature (Ahmadi et al., 2017; Delice & Can, 2020; Liang et al., 2020; Rezaei, 2016; Rezaei et al., 2015, 2016).”
Measuring the relative importance of the logistics performance index indicators using Best Worst Method (2018, methodology): “A common way to evaluate an alternative is to assign weights to the di ﬀ erent criteria and calculate the value of the alternative ( V i ) using the weight additive function shown in Equation (2) (Rezaei, 2015).”
Best-worst multi-criteria decision-making method: A robust approach (2018, methodology): “Rezaei et al. (2015) used best-worst method to make a connection between supplier development and supplier segmentation.”
A supply chain sustainability innovation framework and evaluation methodology (2018, methodology): “Here for all the pairwise comparisons of different criteria, a scale for Best–Worst Method (See Appendix 1) used by Rezaei, Wang, and Tavasszy (2015) and Gupta (2017) was also adopted.”
Modification of the Best-Worst and MABAC methods: A novel approach based on interval-valued fuzzy-rough numbers (2018, methodology): “Since the method is very recent, the literature so far only has the traditional (crisp) BWM (Rezaei, 2015; Rezaei et al., 2015; Rezaei, 2016; Gupta, 2017; Shojaei et al., 2017; Ren et al., 2017; Wan Ahmad et al., 2017) and modification of the BWM carried out using fuzzy numbers (Guo and Zhao, 2017;…”
Bayesian best-worst method: A probabilistic group decision making model (2020, background): “…been extensively used in many real-world applications including, but not limited to, transport and logistics [30–32] , supply chain management [33–39] , technology management [40] , risk management [41] , science and research assessment [42,43] , and energy [44,45] (see [46] for more recent…”
ZBWM: The Z-number extension of Best Worst Method and its application for supplier development (2018, methodology): “Eight criteria for capabilities dimension and four criteria for willingness dimension proposed by Rezaei (2015) are shown in Tables 6 and 7.”
Selection of biomass thermochemical conversion technology in the Netherlands: A best worst method approach (2017, methodology): “The BWMwas developed by Rezaei (2015, 2016), and has been successfully applied in several real-world applications such as supplier segmentation (Rezaei et al., 2015), supplier selection (Gupta and Barua, 2017; Rezaei et al., 2016), evaluating barriers of technological innovation (Gupta and Barua,…”