RETRACTED: A hybrid technique for partner selection in virtual enterprises (Retracted article. See vol. 14, pg. 1149, 2022)

被引:2
|
作者
Musumba, George Wamamu [1 ]
Wario, Ruth Diko [1 ]
机构
[1] Univ Free State, Dept Comp Sci & Informat, Private Bag X13, ZA-9866 Kestell, South Africa
关键词
Virtual Enterprise; Multi-Criteria Decision-making; Analytical Hierarchy Process; Data Envelopment Analysis; TOPSIS; Selection criteria; GROUP DECISION-MAKING; ANALYTIC HIERARCHY PROCESS; EXTENT ANALYSIS METHOD; FUZZY TOPSIS METHODS; SUPPLIER SELECTION; AHP; ONTOLOGY; RANKING; PRIORITIZATION; COLLABORATION;
D O I
10.1080/20421338.2019.1655212
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Globally, businesses are increasingly depending on other businesses' competencies to meet the increasing demands from customers. Enterprises collaborate with a view of sharing their expertise, costs and risks. Many studies have examined this subject with only a few proposing techniques that can facilitate decision-makers' abilities to filter out inefficient partners among the many that show interest to be part of the consortium, prior to the selection process. Also, few techniques are available that can aid the selection process when the selection criteria are voluminous and uncertain in nature. Research dealing with this subject focusing on the construction industry is hardly available. A Fuzzy Analytical Hierarchy Process-Technique for Order of Preference by Similarity to Ideal Solution (FAHP-TOPSIS) technique, a hybrid of FAHP and F-TOPSIS, is designed to address this problem. This technique is embedded to Data Envelopment Analysis used to filter out inefficient partners at initial stages. FAHP determines decision criteria weights, while F-TOPSIS evaluates the unfiltered partners. A comparison analysis of FAHP-TOPSIS with FAHP and F-TOPSIS in the same case, show similar results confirming their robustness. However, FAHP-TOPSIS gives the most consistent outcomes. It is proposed that FAHP-TOPSIS can be used on a wide range of partner selection decision problems.
引用
收藏
页码:385 / 403
页数:19
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