The promising future of healthcare services: When big data analytics meets wearable technology

被引:69
|
作者
Wu, Jing [1 ]
Li, He [2 ]
Cheng, Sherri [3 ]
Lin, Zhangxi [4 ]
机构
[1] Southwestern Univ Finance & Econ, Sch Econ Informat Engn, 555 Liutai Ave, Chengdu 611130, Peoples R China
[2] Univ Memphis, Fogelman Coll Business & Econ, Memphis, TN 38152 USA
[3] St Louis Univ, John Cook Sch Business, 3674 Lindell Blvd, St Louis, MO 63108 USA
[4] Texas Tech Univ, Rawls Coll Business Adm, Lubbock, TX 79409 USA
关键词
Healthcare; Big data analytics; Wearable devices; Two-dimensional product differentiation model; Consumer density; VERTICAL DIFFERENTIATION; PRICE-COMPETITION; PRODUCT; QUALITY; PERCEPTIONS; STABILITY; EXISTENCE; INTERNET; PRIVACY;
D O I
10.1016/j.im.2016.07.003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As policy-makers and business practitioners across the globe expend extraordinary effort toward the field of e-health, the thriving development of healthcare-wearable technology is creating great opportunities and posing a remarkable future for healthcare services. This paper employs a game theory model to investigate the dynamics of wearable device market. We extend the two-dimensional product differentiation model by incorporating consumer diversity, consumer density, and firms' big data analytics (BDA) investment strategy. Our model reveals that with differentiated consumer densities firms are more likely to engage in quality, competition and the firm that invests in BDA can achieve higher profits. Furthermore, the overall quality of biomedical and healthcare services can be improved under various market conditions. Our findings provide practical guidance to wearable device manufacturers on optimizing competition strategies and offer insights to social planners on potential policy-making to promote better healthcare services. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:1020 / 1033
页数:14
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