Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91173
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | - |
dc.creator | Lam, HY | - |
dc.creator | Tsang, YP | - |
dc.creator | Wu, CH | - |
dc.creator | Chan, CY | - |
dc.date.accessioned | 2021-09-09T03:40:23Z | - |
dc.date.available | 2021-09-09T03:40:23Z | - |
dc.identifier.issn | 1062-7375 | - |
dc.identifier.uri | http://hdl.handle.net/10397/91173 | - |
dc.language.iso | en | en_US |
dc.publisher | IGI Global | en_US |
dc.rights | © 1988-2021, IGI Global | en_US |
dc.rights | This article, published as an Open Access article on April 16, 2021 in the gold Open Access journal, Journal of Global Information Management (JGIM) (converted to gold Open Access on January 1, 2021), is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited. | en_US |
dc.rights | The following publication Lam, H. Y.,et al. "Intelligent E-Vendor Relationship Management for Enhancing Global B2C E-Commerce Ecosystems." JGIM vol.29, no.3 2021: pp.1-25 is available at http://doi.org/10.4018/JGIM.2021050101 | en_US |
dc.subject | Fuzzy C-Means Clustering | en_US |
dc.subject | Global E-Commerce | en_US |
dc.subject | Vendor Relationship Management | en_US |
dc.title | Intelligent E-vendor relationship management for enhancing global B2C E-commerce ecosystems | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 25 | - |
dc.identifier.volume | 29 | - |
dc.identifier.issue | 3 | - |
dc.identifier.doi | 10.4018/JGIM.2021050101 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Journal of global information management, 2021, v. 29, no. 3, p. 1-25 | - |
dcterms.isPartOf | Journal of global information management | - |
dcterms.issued | 2021 | - |
dc.identifier.isi | WOS:000644720600001 | - |
dc.identifier.eissn | 1533-7995 | - |
dc.description.validate | 202109 bchy | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Chan_Intelligent_E-vendor_relationship.pdf | 1.27 MB | Adobe PDF | View/Open |
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