Yun Li
Faculty of Computer and Information Science Southwest University, No. 2, Tiansheng Road Beibei, Chongqing, People`s Republic of China
Hong Zhang
Faculty of Computer and Information Science Southwest University, No. 2, Tiansheng Road Beibei, Chongqing, People`s Republic of China
ABSTRACT
In agriculture E-Commerce, returning customers are the greatest profile providers. In this study, we analysis the impact factors about customer return rate by using an improved Analytic Hierarchy Process (AHP) which integrates four calculation methods of AHP factor weights. Four AHP computation methods are proposed, which are Geometric Average (GA), Arithmetic Average (AA), Eigenvector Method (EM) and Least Squares (LS). Only one of the four computation methods is used in computing weight vector in most studys previously. But the different computation methods can induce some deviations in analyzing customer return rate. In this study, four computation methods are used to compute weight vectors of the impact factors about customer return rate in agriculture e-commerce. The influence factors of customer return rate is analyzed, after integrating four methods.
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How to cite this article
Yun Li and Hong Zhang, 2013. An Improved AHP for Analysis of the Impact Factors about Customer Return
Rate in Agriculture E-commerce. Information Technology Journal, 12: 5525-5530.
DOI: 10.3923/itj.2013.5525.5530
URL: https://scialert.net/abstract/?doi=itj.2013.5525.5530
DOI: 10.3923/itj.2013.5525.5530
URL: https://scialert.net/abstract/?doi=itj.2013.5525.5530
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