支付行业供应商战略选择:数据来源不足和相互关联的多准则解决方案

S. Hekmat, M. Amiri, Golshan Madraki
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引用次数: 0

摘要

我们的目标是在数据相互关联和不充分的情况下解决复杂的战略供应商选择问题。为了实现这一目标,我们提出了战略供应商选择方法(SSSM)。首先,SSSM制定企业战略和评价标准。然后,我们开发了一种新的方法,称为灰色主成分分析-数据包络分析(GPCA-DEA)来评估SSSM中的供应商。GPCA-DEA在处理不充分和相互关联的数据时克服了以前的方法(例如DEA)的主要缺点和局限性。最后,SSSM应用多属性决策(MADM)方法,根据排名分数选择供应商。并举例说明了SSSM在支付行业中选择支付发起服务提供商(PISP)的应用。我们第一次考虑了符合最新法规(PSD2)的支付行业特定标准。Spearman秩相关统计检验表明,我们的方法(在SSSM中使用GPCA-DEA)比以前的DEA版本产生更可靠的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Strategic Supplier Selection in Payment Industry: A Multi-Criteria Solution for Insufficient and Interrelated Data Sources
Our goal is to address the complicated problem of strategic supplier selection with interrelated and insufficient data. To achieve this goal, we proposed our Strategic Supplier Selection Methodology (SSSM). First, SSSM formulates the enterprise strategies and evaluation criteria. Then, we developed a novel method called Grey Principal Component Analysis-Data Envelopment Analysis (GPCA-DEA) to evaluate suppliers in SSSM. GPCA-DEA overcomes the major disadvantages and limitations of former methodologies (e.g., DEA) while dealing with insufficient and interrelated data. Finally, SSSM applies Multiple Attribute Decision-Making (MADM) methods to select suppliers based on the ranking score. The application of SSSM is illustrated in the payment industry to select Payment Initiation Service Providers (PISP). For the first time, we considered the payment industry-specific criteria in compliance with the latest regulation (PSD2). The Spearman rank correlation statistical test showed that our method (GPCA-DEA used in SSSM) yields more reliable results than a former version of DEA.
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