Able but not willing? Exploring divides in digital versus physical payment use in China

Author:

Lloyd Ashley D.,Antonioletti Mario,Sloan Terence M.

Abstract

Purpose – China is the world’s largest user market for digital technologies and experiencing unprecedented rates of rural-urban migration set to create the world’s first “urban billion”. This is an important context for studying nuanced adoption behaviours that define a digital divide. Large-scale studies are required to determine what behaviours exist in such populations, but can offer limited ability to draw inferences about why. The purpose of this paper is to report a large-scale study inside China that probes a nuanced “digital divide” behaviour: consumer demographics indicating ability to pay by electronic means but behaviour suggesting lack of willingness to do so, and extends current demographics to help explain this. Design/methodology/approach – The authors report trans-national access to commercial “Big Data” inside China capturing the demographics and consumption of millions of consumers across a wide range of physical and digital market channels. Focusing on one urban location we combine traditional demographics with a new measure that reflecting migration: “Distance from Home”, and use data-mining techniques to develop a model that predicts use behaviour. Findings – Use behaviour is predictable. Most use is explained by value of the transaction. “Distance from Home” is more predictive of technology use than traditional demographics. Research limitations/implications – Results suggest traditional demographics are insufficient to explain “why” use/non-use occurs and hence an insufficient basis to formulate and target government policy. Originality/value – The authors understand this to be the first large-scale trans-national study of use/non-use of digital channels within China, and the first study of the impact of distance on ICT adoption.

Publisher

Emerald

Subject

Library and Information Sciences,Computer Science Applications,Information Systems

Reference112 articles.

1. Akkaş, E. , Akina, L. , Çubukçua, H.E. and Artuner, H. (2015), “Application of decision tree algorithm for classification and identification of natural minerals using SEM-EDS”, Computers & Geosciences , Vol. 80, pp. 38-48.

2. Alipay (2013), “Alipay business, Alipay, Hangzhou, China”, available at: http://global.alipay.com/ospay/home.htm (accessed 20 January 2013).

3. Anderson, C. (2008), “The end of theory: the data deluge makes the scientific method obsolete”, Wired Magazine, available: http://archive.wired.com/science/discoveries/magazine/16-07/pb_theory (accessed 9 July 2014).

4. Arrington, M. (2009), “Google CEO Eric Schmidt interview: his thoughts on search, books, news, mobile, competition and more”, TechCrunch, 31 August, available at: http://techcrunch.com/2009/08/31/google-ceo-eric-schmidt-interview-his-thoughts-on-search-books-news-mobile-competition-and-more/ (accessed 26 August 2012).

5. Atsmon, Y. , Magni, M. and Lihua, L. (2012), “From mass to mainstream: keeping pace with China’s rapidly changing consumers”, Annual Chinese Consumer Report, McKinsey Consumer & Shopper Insights, McKinsey & Company, Boston, MA, pp. 1-36.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3