Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/129967


Title: Adoption and Performance of Mobile Sales Channel for e-Retailers: Fit with M-Retail Characteristics and Dependency on e-Retailing
Authors: 周彥君
Chou, Yen-Chun
Shao, Benjamin B. M.
Contributors: 資管系
Keywords: Mobile retailing;Dependency on e-retailing;Capabilities of mobile channel;Contingency theory;Omnichannel retailing
Date: 2020-03
Issue Date: 2020-05-26 15:11:30 (UTC+8)
Abstract: While the Internet drives the first transition of sales channels from physical stores to web storefronts, it is mobile devices like smartphones that provide the mobility and ubiquity wired desktop computers lack and that enable the second transition from e-retailing to m-retailing. Unlike the first transition that has been well studied in the literature, the follow-up transition from e-retailing to m-retailing has been under-explored. In this paper, we examine this transition by studying the timing of e-retailers’ initiation of m-retail sales channels (as years of adoption) and the performance of such adoption (as business value). We employ a theoretical contingency framework that classifies firms by the fit between characteristics of merchants and capabilities of the mobile sales channel (i.e., ubiquitous access capability and limited information search capability). We find that firms which sell time critical products and hence benefit from ubiquitous access are inclined to adopt m-retailing early. Interestingly, those firms that adopt early do not necessarily show the greatest values at all times. Instead, the type of performance metrics used matters. Apart from the distinct capabilities of the mobile sales channel, our finding suggests that dependency on existing e-retailing also has a positive effect on a firm’s m-retailing performance. Especially, the influence of e-retailing varies with the fit of a merchant with the mobile sales channel as well as the type of performance metric used.
Relation: Information Systems Frontiers,
Data Type: article
DOI 連結: https://doi.org/10.1007/s10796-020-09989-0
Appears in Collections:[資訊管理學系] 期刊論文

Files in This Item:

File Description SizeFormat
420.pdf458KbAdobe PDF97View/Open


All items in 學術集成 are protected by copyright, with all rights reserved.


社群 sharing