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Assignment: The Big Data Analytics

Assignment: The Big Data Analytics

Assignment: The Big Data Analytics

Assignment: The Big Data Analytics


The recognition is valid for three years. A new application must be submitted at the end of the three years for further recognition. Some, but not all of the standardized languages are copyrighted.


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Technological Forecasting & Social Change 126 (2018) 3–13

Contents lists available at ScienceDirect

Technological Forecasting & Social Change

Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations

Yichuan Wang a,⁎, LeeAnn Kung b, Terry Anthony Byrd a a Raymond J. Harbert College of Business, Auburn University, 405 W. Magnolia Ave., Auburn, AL 36849, USA b Rohrer College of Business, Rowan University, 201 Mullica Hill Road, Glassboro, NJ 08028, USA

⁎ Corresponding author. E-mail addresses: yzw0037@auburn.edu (Y. Wang), k

byrdter@auburn.edu (T.A. Byrd).

http://dx.doi.org/10.1016/j.techfore.2015.12.019 0040-1625/© 2016 Elsevier Inc. All rights reserved.

a b s t r a c t

a r t i c l e i n f o

Article history: Received 17 June 2015 Received in revised form 11 November 2015 Accepted 12 December 2015 Available online 26 February 2016

To date, health care industry has not fully grasped the potential benefits to be gained from big data analytics. While the constantly growing body of academic research on big data analytics is mostly technology oriented, a better understanding of the strategic implications of big data is urgently needed. To address this lack, this study examines the historical development, architectural design and component functionalities of big data ana- lytics. From content analysis of 26 big data implementation cases in healthcare, we were able to identify five big data analytics capabilities: analytical capability for patterns of care, unstructured data analytical capability, deci- sion support capability, predictive capability, and traceability.We alsomapped the benefits driven by big data an- alytics in terms of information technology (IT) infrastructure, operational, organizational, managerial and strategic areas. In addition, we recommend five strategies for healthcare organizations that are considering to adopt big data analytics technologies. Our findingswill help healthcare organizations understand the big data an- alytics capabilities and potential benefits and support them seeking to formulate more effective data-driven an- alytics strategies.

© 2016 Elsevier Inc. All rights reserved.

Keywords: Big data analytics Big data analytics architecture Big data analytics capabilities Business value of information technology (IT) Health care