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
相关论文
共 50 条
  • [31] Vitality of Big Data Analytics in Healthcare Department
    Johri, Prashant
    Singh, Tanya
    Das, Sanjoy
    Anand, Shipra
    [J]. 2017 INTERNATIONAL CONFERENCE ON INFOCOM TECHNOLOGIES AND UNMANNED SYSTEMS (TRENDS AND FUTURE DIRECTIONS) (ICTUS), 2017, : 669 - 673
  • [32] Insight Of Big Data Analytics In Healthcare Industry
    Sabharwal, Satwik
    Gupta, Samridhi
    Thirunavukkarasu, K.
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA), 2016, : 95 - 100
  • [33] Big data analytics in healthcare: promise and potential
    Wullianallur Raghupathi
    Viju Raghupathi
    [J]. Health Information Science and Systems, 2 (1)
  • [34] Big data Analytics in Healthcare: A Survey Approach
    Ramesh, Dharavath
    Suraj, Pranshu
    Saini, Lokendra
    [J]. 2016 INTERNATIONAL CONFERENCE ON MICROELECTRONICS, COMPUTING AND COMMUNICATIONS (MICROCOM), 2016,
  • [35] A review of the literature on big data analytics in healthcare
    Galetsi, Panagiota
    Katsaliaki, Korina
    [J]. JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2020, 71 (10) : 1511 - 1529
  • [36] A Survey Of Big Data Analytics in Healthcare and Government
    Archenaa, J.
    Anita, E. A. Mary
    [J]. BIG DATA, CLOUD AND COMPUTING CHALLENGES, 2015, 50 : 408 - 413
  • [37] A Robust Model for Big Healthcare Data Analytics
    Chauchan, Ritu
    Jangade, Rajesh
    [J]. 2016 6th International Conference - Cloud System and Big Data Engineering (Confluence), 2016, : 221 - 225
  • [38] Big data analytics in healthcare: promise and potential
    Raghupathi, Wullianallur
    Raghupathi, Viju
    [J]. HEALTH INFORMATION SCIENCE AND SYSTEMS, 2014, 2 (01):
  • [39] Data Analytics and Applications of the Wearable Sensors in Healthcare: An Overview
    Uddin, Mohy
    Syed-Abdul, Shabbir
    [J]. SENSORS, 2020, 20 (05)
  • [40] Monitoring Data Integrity in Big Data Analytics Services
    Mantzoukas, Konstantinos
    Kloukinas, Christos
    Spanoudakis, George
    [J]. PROCEEDINGS 2018 IEEE 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING (CLOUD), 2018, : 904 - 907