E-Government Knowledge Management (KM) and Data Mining Challenges: Past, Present, and Future

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Author(s): LuAnn Bean (Florida Institute of Technology, USA), Deborah S. Carstens (Florida Institute of Technology, USA)and Judith Barlow (Florida Institute of Technology, USA)
Copyright: 2009
Pages: 14
Source title: Social and Political Implications of Data Mining: Knowledge Management in E-Government
Source Author(s)/Editor(s): Hakikur Rahman (University of Minho, Portugal)
DOI: 10.4018/978-1-60566-230-5.ch003

Keywords: Data Mining / Electronic Government / Information Science Reference / Library & Information Science

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Abstract

Powerful data mining models and applications in e-government settings have the potential to bring major benefits to a wide range of stakeholders. As these models evolve, structural transitions occur within e-government to which include an evolution of managerial practices through knowledge management (KM). Unfortunately these efforts are vulnerable to a number of critical human interaction and behavioral components. This chapter examines e-government challenges regarding the linkages between data mining and KM over time, discusses the organizational development of e-government applications, and details both general and specific social, ethical, legislative, and legal issues that impact effective implementations. A final focus of the chapter is the potential strategic benefits of a risk-based approach that can be used to improve the core synergy of KM and data mining operations in e-government operations.

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