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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," MPRA Paper 85625, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:85625
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    References listed on IDEAS

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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. 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.
    3. Liedong, Tahiru Azaaviele & Rajwani, Tazeeb & Lawton, Thomas C., 2020. "Information and nonmarket strategy: Conceptualizing the interrelationship between big data and corporate political activity," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    4. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.
    5. Ali, Murad, 2021. "Imitation or innovation: To what extent do exploitative learning and exploratory learning foster imitation strategy and innovation strategy for sustained competitive advantage?✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    6. 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.
    7. 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.
    8. 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.
    9. Shamim, Saqib & Zeng, Jing & Khan, Zaheer & Zia, Najam Ul, 2020. "Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    10. 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.
    11. Qaisar Ali & Hakimah Yaacob & Shazia Parveen & Zaki Zaini, 2021. "Big data and predictive analytics to optimise social and environmental performance of Islamic banks," Environment Systems and Decisions, Springer, vol. 41(4), pages 616-632, December.
    12. Ziyuan Chi & Zhen Liu & Fenghong Wang & Mohamed Osmani, 2023. "Driving Circular Economy through Digital Technologies: Current Research Status and Future Directions," Sustainability, MDPI, vol. 15(24), pages 1-28, December.
    13. 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.
    14. Carlos Ferreira & Alessandro Merendino & Maureen Meadows, 2023. "Disruption and Legitimacy: Big Data in Society," Information Systems Frontiers, Springer, vol. 25(3), pages 1081-1100, June.
    15. 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.
    16. Ball, Kirstie & Canhoto, Ana & Daniel, Elizabeth & Dibb, Sally & Meadows, Maureen & Spiller, Keith, 2020. "Organizational tensions arising from mandatory data exchange between the private and public sector: The case of financial services," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    17. Whisper Maisiri & Liezl van Dyk & Rojanette Coeztee, 2021. "Factors that Inhibit Sustainable Adoption of Industry 4.0 in the South African Manufacturing Industry," Sustainability, MDPI, vol. 13(3), pages 1-21, January.
    18. 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.
    19. 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).
    20. 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.
    21. Senyo, P.K. & Effah, John & Osabutey, Ellis L.C., 2021. "Digital platformisation as public sector transformation strategy: A case of Ghana's paperless port," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    22. Centobelli, Piera & Cerchione, Roberto & Esposito, Emilio & Oropallo, Eugenio, 2021. "Surfing blockchain wave, or drowning? Shaping the future of distributed ledgers and decentralized technologies," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    23. Boakye, Derrick & Sarpong, David & Mordi, Chima, 2022. "Regulatory review of new product innovation: Conceptual clarity and future research directions," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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    More about this item

    Keywords

    Big data; technology roadmapping; technology; governments; Ebola;
    All these keywords.

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • L4 - Industrial Organization - - Antitrust Issues and Policies

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