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

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  • Amankwah-Amoah, Joseph

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.

Suggested Citation

  • Amankwah-Amoah, Joseph, 2016. "Emerging economies, emerging challenges: Mobilising and capturing value from big data," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 167-174.
  • Handle: RePEc:eee:tefoso:v:110:y:2016:i:c:p:167-174
    DOI: 10.1016/j.techfore.2015.10.022
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    References listed on IDEAS

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    1. Bhimani, Alnoor, 2015. "Exploring big data’s strategic consequences," LSE Research Online Documents on Economics 86632, London School of Economics and Political Science, LSE Library.
    2. McDowall, Will, 2012. "Technology roadmaps for transition management: The case of hydrogen energy," Technological Forecasting and Social Change, Elsevier, vol. 79(3), pages 530-542.
    3. Geum, Youngjung & Lee, HyeonJeong & Lee, Youngjo & Park, Yongtae, 2015. "Development of data-driven technology roadmap considering dependency: An ARM-based technology roadmapping," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 264-279.
    4. Lee, Changyong & Song, Bomi & Park, Yongtae, 2015. "An instrument for scenario-based technology roadmapping: How to assess the impacts of future changes on organisational plans," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 285-301.
    5. Forbes, Daniel P. & Kirsch, David A., 2011. "The study of emerging industries: Recognizing and responding to some central problems," Journal of Business Venturing, Elsevier, vol. 26(5), pages 589-602, September.
    6. Fosso Wamba, Samuel & Akter, Shahriar & Edwards, Andrew & Chopin, Geoffrey & Gnanzou, Denis, 2015. "How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study," International Journal of Production Economics, Elsevier, vol. 165(C), pages 234-246.
    7. Vishnevskiy, Konstantin & Karasev, Oleg & Meissner, Dirk, 2015. "Integrated roadmaps and corporate foresight as tools of innovation management: The case of Russian companies," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 433-443.
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    As found on the RePEc Biblio, the curated bibliography for Economics:
    1. > Economics of Welfare > Health Economics > Economics of Pandemics > Specific pandemics > Ebola

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    Cited by:

    1. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    2. Howell, Rachel & van Beers, Cees & Doorn, Neelke, 2018. "Value capture and value creation: The role of information technology in business models for frugal innovations in Africa," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 227-239.
    3. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    4. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
    5. Amankwah-Amoah, Joseph, 2016. "Global business and emerging economies: Towards a new perspective on the effects of e-waste," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 20-26.
    6. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    7. Amankwah-Amoah, Joseph, 2016. "Competing technologies, competing forces: The rise and fall of the floppy disk, 1971–2010," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 121-129.
    8. Amankwah-Amoah, Joseph, 2016. "Navigating uncharted waters: A multidimensional conceptualisation of exporting electronic waste," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 11-19.
    9. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    10. Gupta, Shivam & Chen, Haozhe & Hazen, Benjamin T. & Kaur, Sarabjot & Santibañez Gonzalez, Ernesto D.R., 2019. "Circular economy and big data analytics: A stakeholder perspective," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 466-474.
    11. Galetsi, P. & Katsaliaki, K. & Kumar, S., 2019. "Values, challenges and future directions of big data analytics in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 241(C).

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