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Author: Admin | 2025-04-27
For resisting KM initiatives. Inadequate or no knowledge management practices within the Government generally lead to loss of opportunity as a result of lost institutional memory, knowledge gaps and non-availability of appropriate inputs for decision making (SARC, 2008). IV. PROPOSED FRAMEWORK FOR E-GOVERNMENT DATA MINING APPLICATIONS (eGDMA) In this section, this paper describes the proposed framework, namely “ A framework for e-Government Data mining applications (eGDMA)“ in terms of Common and Department-specific applications discussed briefly in the Section 4.1. 4.1) e-Government‟s Common and Department-specific Applications: In this framework, the government applications are classified in two, namely; Common applications and Department‟s specific applications: a) Common Applications: The most common applications are considered to address the common requirements of the departments. The applications such as Grievance Management System (G2C, G2B, G2E), Citizen‟s Demographic information (G2C,G2G), Employees personal management system such as Personal Pay, Leave, Loan, pension, service book (G2E), Budget, Accounts Management System (G2G), Procurement of goods and services (G2G, G2B) etc., are considered to get uniformity, reduce redundancy, time &cost. b) Department’s Specific Applications: These applications are specific to a particular department such as Education, Health, Transport, Revenue, Police, Law etc. Therefore, we cannot mix department‟s specific applications with common application for uniformity among government application to get unified digital government, for an instance applications related to Food and supplied department is given in Figure 2 Fig 2: Some e-Government applications of Food and Civil Supplies Department 4.2) A Framework of e-Government Data Mining Applications (eGDMA): The proposed framework for e-Government
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