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Big data analysis of local government 3.0: Focusing on Gyeongsangbuk-do in Korea

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  • Jun, Chae Nam
  • Chung, Chung Joo

Abstract

In the era of Government 3.0, local governments focus on establishing, maintaining, and strengthening relationships with citizens to fulfill “service government”; they thus engage in administration customization. This research aims to provide a structural understanding of local Government 3.0 through network and semantic analyses of Big Data gathered from the homepage of Gyeongsangbuk-do, North Gyeongsang Province in Korea, and Naver and Daum, major Korean portals. Results show that information and opinions about future policies, issues, and plans, and about the vision of provincial government, are dominant on the portals, while the Gyeongsangbuk-do homepage mainly plays a role for communicating public grievances and requests. The portal sites are more suitable places for giving information about and discussing technologies and urban policies than the homepage is. This study contributes to the analysis of Government 3.0 on a local level. In addition, it can be used as a reference and comparison by other countries or local governments and scholars interested in the issue.

Suggested Citation

  • Jun, Chae Nam & Chung, Chung Joo, 2016. "Big data analysis of local government 3.0: Focusing on Gyeongsangbuk-do in Korea," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 3-12.
    • Handle: RePEc:eee:tefoso:v:110:y:2016:i:c:p:3-12
    DOI: 10.1016/j.techfore.2015.11.007
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    Cited by:

    1. Yona, Moran & Birfir, Genadi & Kaplan, Sigal, 2021. "Data science and GIS-based system analysis of transit passenger complaints to improve operations and planning," Transport Policy, Elsevier, vol. 101(C), pages 133-144.
    2. Ju, Jingrui & Liu, Luning & Feng, Yuqiang, 2018. "Citizen-centered big data analysis-driven governance intelligence framework for smart cities," Telecommunications Policy, Elsevier, vol. 42(10), pages 881-896.
    3. 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.
    4. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).

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