Intelligent e-vendor relationship management for enhancing global b2c e-commerce ecosystems

H. Y. Lam, Y. P. Tsang, C. H. Wu, C. Y. Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Recently, global e-commerce businesses have been blooming due to the convenience they offer, their product range, and the individualized products and services they offer. To maintain an entire ecosystem, effective platform-vendor relationships should be considered, through which e-commerce platforms can provide collaborative packages to vendors. E-vendor relationship management (eVRM) should then be developed to identify, attract, retain, and develop existing and new vendors so that groups of loyal vendors can be managed. However, eVRM in e-commerce is an area that has received less attention. This paper proposes an adaptive e-vendor relationship-management system (AVRMS) to provide decision-making support for the formulation of vendor management strategies. The contribution of this study is that it addresses the missing link of platform-vendor relationship management in global e-commerce environments, while integrating data-driven approaches and artificial intelligence techniques to generate a new synergy for the facilitation of eVRM.

Original languageEnglish
Pages (from-to)1-25
Number of pages25
JournalJournal of Global Information Management
Volume29
Issue number3
DOIs
Publication statusPublished - 1 May 2021

Keywords

  • Fuzzy C-Means Clustering
  • Global E-Commerce
  • Vendor Relationship Management

ASJC Scopus subject areas

  • Business and International Management
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Information Systems and Management

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