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

Chae Nam Jun and Chung Joo Chung

Technological Forecasting and Social Change, 2016, vol. 110, issue C, 3-12

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.

Keywords: Government 3.0; North Gyeongsang Province; Local governance; Big data; Semantic analysis; Innovation; Collaboration (search for similar items in EconPapers)
Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162515003406
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:110:y:2016:i:c:p:3-12

DOI: 10.1016/j.techfore.2015.11.007

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().