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Emerging economies, emerging challenges: Mobilising and capturing value from big data

Amankwah-Amoah, J. (2015) Emerging economies, emerging challenges: Mobilising and capturing value from big data. Technological Forecasting and Social Change, 110 . pp. 167-174. ISSN 0040-1625. (doi:10.1016/j.techfore.2015.10.022) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:57767)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1016/j.techfore.2015.10.022

Abstract

As technology advances and voluminous new data are generated on a daily basis, the ability to harness and utilise big data not only enhances firms' competitiveness but also equips governments for the twenty-first century. This study examines how governments can utilise big data to combat health challenges. The study focuses specifically on the Ebola outbreak in West Africa to illustrate how various technologies and techniques were utilised jointly to combat and contain the outbreak. An integrated technology roadmappping approach was developed which encompasses digital surveillance systems and traditional monitoring techniques to articulate how governments can capture value from big data to combat such contagious diseases. Policy and practical implications are identified and discussed.

Item Type: Article
DOI/Identification number: 10.1016/j.techfore.2015.10.022
Uncontrolled keywords: Big data; Technology roadmapping; Technology; Governments; Ebola Big data; Technology roadmapping; Technology; Governments; Ebola Big data; Technology roadmapping; Technology; Governments; Ebola
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Depositing User: Joseph Amankwah-Amoah
Date Deposited: 06 Oct 2016 14:53 UTC
Last Modified: 05 Nov 2024 10:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/57767 (The current URI for this page, for reference purposes)

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