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  • 标题:Application of Two-Stage MCDM Techniques in Evaluating the Performance of Electronic Payment Systems in Ghana
  • 本地全文:下载
  • 作者:Dennis Asante ; Evans Opoku-Mensah ; Peter Adjei Darko
  • 期刊名称:International Journal of Data Mining & Knowledge Management Process
  • 印刷版ISSN:2231-007X
  • 电子版ISSN:2230-9608
  • 出版年度:2019
  • 卷号:9
  • 期号:2/3
  • 页码:1-18
  • DOI:10.5121/ijdkp.2019.9301
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:Electronic payment systems act as a catalyst in the economic development of many developing countries. However, their evaluation has become a daunting task over the years. This research employed a two-stage multi-criteria decision analysis (MCDA) to evaluate e-payment systems in Ghana. The AHP method was utilized to find the contribution scores of the various criteria for the performance of the e-payment systems. With the aid of the Probability Linguistic-TOPSIS (PL-TOPSIS) approach, we obtained the performance scores of the e-payment systems and ranked them. Among the six indicators employed in this study, we found cost-effectiveness to be the major indicator of an e-payment system performance. The performance ranking results indicated that credit/debit card has the highest performance score, followed by mobile money, ATM, online banking, and E-zwitch, respectively. We contribute to literature by providing intuitions on how AHP and PL-TOPSIS methods can be applied to evaluate the performance of e-payment systems.
  • 关键词:Electronic payment systems; Analytic Hierarchy process; Probabilistic linguistic;TOPSIS; Multi;criteria decision making analysis
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