A study of ranking behavior factors for online shopping by grey relation estimation. (18th August 2018)

• Record Type: Journal Article
• Authors: Wang, Chien-Hua
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 21:Number 6(2018)
• Page Start: 1177
• Page End: 1181
• Publication Date: 2018-08-18
• Subjects: Online shopping -- marketing channel -- grey relation estimation; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2018.1525123
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: Online consumption is a new marketing channel, which allows consumers to shop with no boundaries and time restriction; furthermore, to provide consumers with in time product-related information and customized services. Compared with the traditional marketing channel, the online business has a significant strength on competitiveness. Thus, this paper adopts gray relation estimation to study college students in Fuzhou City, and find out weight relation among each factor by questionnaires. Then, business can make appropriate marketing or management strategies in accordance with the weight relation.