Towards a hybrid approach of primitive cognitive network process and weighted iterative dichotomiser 3 for customer e-payment adoption analysis

Joyce Wenting Su, Kevin Kam Fung Yuen*

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Attracting customers to use e-payment is the critical success factor for the e-business transaction. Various factors influence the customers to adopt e-Payment. A hybrid approach of Primitive Cognitive Network Process (PCNP) and Weighted Iterative Dichotomiser Three (WID3) is proposed to classify the factors which influence the customer e-payment adoptions. Whilst PCNP is a revised approach of Analytic Hierarchy Process (AHP) to quantify the weights of factors, WED3 is the classification approach combining the weighted factors to the classical ID3 to classify data into distinct groups. An application shows the proposed approach could identify the patterns of customer e-Payment adoption, and predict the potential customer adoption behaviour.

Original languageEnglish
Title of host publication2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages218-222
Number of pages5
ISBN (Electronic)9781479944200
DOIs
Publication statusPublished - 20 Mar 2014
Event2014 7th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014 - Chongqing, China
Duration: 20 Dec 201421 Dec 2014

Publication series

Name2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014

Conference

Conference2014 7th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2014
Country/TerritoryChina
CityChongqing
Period20/12/1421/12/14

Keywords

  • Classification
  • Cognitive Network Process
  • E-Payment
  • ID3
  • customer adoption

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