Toward a ranking strategy for e-commerce products in an e-alliance portal using primitive cognitive network process

Kevin Kam Fung Yuen*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

E-alliance is the platform of promoting e-commerce products. An efficient approach to evaluate and rank the suitable ecommerce products is essential for the business value of an e-alliance portal, where the business partners or consumers efficiently search the best fit e-commerce products for their transaction in internet. This paper proposes the Primitive Cognitive Network Process for the ranking strategy considering multiple criteria and alternatives.

Original languageEnglish
Pages (from-to)1091-1096
Number of pages6
JournalProcedia Computer Science
Volume17
DOIs
Publication statusPublished - 2013
Event1st International Conference on Information Technology and Quantitative Management, ITQM 2013 - Suzhou, China
Duration: 16 May 201318 May 2013

Keywords

  • Cognitive Network Process
  • E-alliance
  • E-commerce
  • Multiple Criteria Decision Making
  • Ranking Strategy

Fingerprint

Dive into the research topics of 'Toward a ranking strategy for e-commerce products in an e-alliance portal using primitive cognitive network process'. Together they form a unique fingerprint.

Cite this