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The Big (Data) Bang: Policy, Prospects, and Challenges

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  • Connie L. McNeely
  • Jong-on Hahm

Abstract

Big data is increasingly the cornerstone on which policy making is based. However, with potential benefits and applications come challenges and dilemmas. In this set of symposium articles, authors examine the promise and problems of big data, exploring associated prospects, risks, parameters, and payoffs from a variety of perspectives. The articles address myriad challenges in the handling of big data sets, such as collection, validation, integrity, and security; ontological issues attending data analytics and conceptual transformations; the foundations of big data collection for social science research; the gap between the acquisition of data and its use to advance discovery and innovation; the costs and benefits of using big data in decision making and analysis; and, finally, related problems of privacy, security, and ethics. Issues such as these will continue to arise with increased use of big data as fundamental to policy making and governance in today's growing information society.

Suggested Citation

  • Connie L. McNeely & Jong-on Hahm, 2014. "The Big (Data) Bang: Policy, Prospects, and Challenges," Review of Policy Research, Policy Studies Organization, vol. 31(4), pages 304-310, July.
    • Handle: RePEc:bla:revpol:v:31:y:2014:i:4:p:304-310
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    File URL: http://hdl.handle.net/10.1111/ropr.12082
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    Cited by:

    1. Xuemei Tian & Libo Liu, 2017. "Does big data mean big knowledge? Integration of big data analysis and conceptual model for social commerce research," Electronic Commerce Research, Springer, vol. 17(1), pages 169-183, March.
    2. Quan-Hoang Vuong & Manh-Tung Ho & Hong-Kong To Nguyen & Minh-Hoang Nguyen, 2019. "The trilemma of sustainable industrial growth: evidence from a piloting OECD’s Green city," Palgrave Communications, Palgrave Macmillan, vol. 5(1), pages 1-14, December.
    3. Hui Zhang & Huiying Ding & Jianying Xiao, 2023. "How Organizational Agility Promotes Digital Transformation: An Empirical Study," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    4. Kuan Chung Lin & Joseph Z. Shyu & Kun Ding, 2017. "A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and Sustainability Development Transition," Sustainability, MDPI, vol. 9(5), pages 1-17, May.
    5. Weaver, Adam, 2021. "Tourism, big data, and a crisis of analysis," Annals of Tourism Research, Elsevier, vol. 88(C).
    6. Frizzo-Barker, Julie & Chow-White, Peter A. & Mozafari, Maryam & Ha, Dung, 2016. "An empirical study of the rise of big data in business scholarship," International Journal of Information Management, Elsevier, vol. 36(3), pages 403-413.
    7. Mauro Luis Gotsch & Marcus Schögel, 2023. "Addressing the privacy paradox on the organizational level: review and future directions," Management Review Quarterly, Springer, vol. 73(1), pages 263-296, February.

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