Journal
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS
Volume 22, Issue -, Pages 24-41Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.elerap.2017.02.002
Keywords
Big data and analytics; Wearable devices; Healthcare; Two-dimensional product differentiation; Efficiency; Privacy
Categories
Funding
- Major Program of National Natural Science Foundation of China [91218301]
- Fundamental Research Funds for the Central Universities [JBK120505]
- National Natural Science Foundation of China [71302186]
- Collaborative Innovation Center for the Innovation and Regulation of Internet-based-Finance
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This paper investigates the impact of big data and analytics (BDA) on health IT market competition as well as health IT provider's optimal BDA adoption decisions. To capture the specific characteristics of BDA in healthcare, we simultaneously model BDA's healthcare efficiency and privacy risk from consumer perspective and BDA's benefit and cost from provider perspective in a stylized two-dimensional product differentiation framework. The results indicate firm's optimal pricing strategies with the dynamic of BDA's efficiency and privacy risk. In addition, BDA's influence on firms' outcomes and social welfare are analytically pointed. Theoretically, this study has potentials to provide foundations for future big data research by stylizing an analytical model to understand firm's BDA adoption. Practically, insights for business managers on how to optimize strategies of BDA adoption, and for social planners on how to conduct better policies to improve healthcare service quality by promoting BDA adoption in healthcare, are derived. (C) 2017 Published by Elsevier B.V.
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