Part I eGovernment: A Complex Challenge |
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1 The Different Facets of eGovernment Initiatives: Paradigms and Approaches |
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3 | (18) |
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1.1 Background and Motivations for a Methodology |
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4 | (3) |
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1.2 Planning eGovernment Initiatives as Services |
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7 | (3) |
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1.3 Information Systems Strategic Alignment in eGovernment |
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10 | (3) |
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1.4 The Role of Rules in eGovernment Initiatives |
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13 | (1) |
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1.5 The eG4M Multidisciplinary Approach |
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14 | (5) |
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19 | (2) |
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21 | (22) |
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2.1 Data Governance Issues |
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22 | (1) |
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22 | (4) |
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2.2.1 Data Quality Dimensions |
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24 | (1) |
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2.2.2 A Methodology for Data Quality Assessment and Improvement |
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25 | (1) |
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26 | (3) |
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2.3.1 The Entity Relationship Model |
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27 | (2) |
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2.4 Schema Integration in the Small |
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29 | (4) |
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2.4.1 Conflict Analysis and Schema Merging |
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31 | (2) |
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2.4.2 Enrichment and Rearrangement |
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33 | (1) |
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2.5 Schema Integration in the Large: The Repository of Schemas |
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33 | (8) |
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35 | (2) |
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2.5.2 A Methodology for the Construction of a Repository of Schemas |
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37 | (1) |
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2.5.3 Usages of the Repository of Schemas in eG4M Planning Activities |
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38 | (3) |
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41 | (2) |
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3 The eG4M Methodology at a Glance |
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43 | (12) |
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3.1 Black-Box and White-Box Description of the Methodology |
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45 | (5) |
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50 | (2) |
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52 | (3) |
Part II Strategic Planning |
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4 eGovernment Vision Elicitation |
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55 | (20) |
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4.1 Policies and Principles |
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57 | (3) |
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4.2 Preliminary eGovernment Vision Elicitation |
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60 | (2) |
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62 | (10) |
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63 | (3) |
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4.3.2 Building the AS-WISHED Business Model |
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66 | (3) |
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4.3.3 Documenting the AS-WISHED Business Model |
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69 | (3) |
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4.4 Defining the Macro- and Micro-objectives of the eGovernment Vision |
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72 | (1) |
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73 | (2) |
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75 | (24) |
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5.1 How to Represent eG4M Facets |
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76 | (12) |
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76 | (2) |
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78 | (4) |
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82 | (1) |
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83 | (2) |
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85 | (1) |
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86 | (2) |
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88 | (1) |
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5.2 How to Represent Relationships Among Issues |
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88 | (8) |
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89 | (1) |
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5.2.2 Services, Processes, Macro-processes |
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90 | (3) |
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5.2.3 Processes and Organizations |
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93 | (1) |
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5.2.4 Organizations and Types of Data |
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93 | (1) |
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5.2.5 Organizations and Data Flows |
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94 | (1) |
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5.2.6 Types of Data and Databases |
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95 | (1) |
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5.2.7 Other Relationships |
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96 | (1) |
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5.3 Enriching Matrices with Quantitative Data |
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96 | (1) |
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5.4 Usages of Knowledge Collected in the State Reconstruction Phase |
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96 | (2) |
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98 | (1) |
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99 | (28) |
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100 | (1) |
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6.2 Social and Organizational Analysis |
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101 | (8) |
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104 | (3) |
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6.2.2 SECT Field Analysis at the Tangier Municipality |
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107 | (1) |
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108 | (1) |
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6.3 The Microeconomic eReadiness Model |
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109 | (13) |
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6.3.1 The Model and Reality |
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113 | (2) |
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115 | (4) |
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6.3.3 The Investment in Innovation Effect |
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119 | (2) |
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6.3.4 The Substitutionf Integration and Back-Office Reorganization Effects |
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121 | (1) |
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6.4 Implications for Economic Policy and Public Sector Management |
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122 | (3) |
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125 | (2) |
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127 | (20) |
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7.1 Introduction to Quality |
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127 | (3) |
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7.2 The eG4M Quality Registry |
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130 | (7) |
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130 | (2) |
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132 | (3) |
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135 | (2) |
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137 | (1) |
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7.3 Dependencies Among Dimensions |
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137 | (2) |
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7.4 A Methodology for the Assessment Activity |
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139 | (1) |
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140 | (4) |
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144 | (3) |
Part III Operational Planning |
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8 Definition of Priority Services and Value Targets |
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147 | (12) |
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8.1 Definition of Priority Macro/Micro-objectives |
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149 | (3) |
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8.2 Define the Priority Services |
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152 | (2) |
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8.3 Definition of Priority Qualities and Target Values |
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154 | (4) |
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158 | (1) |
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159 | (18) |
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9.1 A Reference Architecture for eGovernment Projects |
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159 | (4) |
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161 | (1) |
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162 | (1) |
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9.2 A Methodology for the Choice of Projects |
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163 | (2) |
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9.3 Cluster Services and Find Bundles |
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165 | (4) |
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166 | (3) |
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9.4 Choose Project Solutions |
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169 | (6) |
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170 | (5) |
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9.5 Identify Reusable Layers |
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175 | (1) |
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176 | (1) |
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10 A Reference Technological Architecture |
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177 | (14) |
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10.1 Organizational Considerations for Setting Up a Reference Architecture |
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177 | (3) |
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180 | (1) |
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10.3 Overview of the Reference Architecture |
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181 | (3) |
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184 | (2) |
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10.5 Cooperation Domains and Cooperation Agreements |
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186 | (1) |
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10.6 Repositories for Agreements and Schemas/Ontologies |
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187 | (1) |
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188 | (2) |
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188 | (1) |
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10.7.2 Monitoring, Management, and Qualification Services |
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189 | (1) |
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10.8 Similar Initiatives in Europe |
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190 | (1) |
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190 | (1) |
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11 Guidelines for the Specification of New Administrative Processes |
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191 | (18) |
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11.1 Overview of the Guidelines |
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191 | (5) |
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11.2 Tools for the Design Time |
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196 | (1) |
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11.3 Dealing with Legacy Systems |
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196 | (3) |
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11.3.1 Legacy Systems Classification |
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196 | (2) |
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11.3.2 Management of Legacy Systems |
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198 | (1) |
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199 | (6) |
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205 | (4) |
Part IV eGovernment in Mediterranean Countries Public Administrations: Case Studies |
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12 eGovernment Initiatives in Italy |
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209 | (16) |
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12.1 Technological Innovation as a Guide to Redesigning Government |
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210 | (4) |
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12.1.1 The Strategic Guidelines |
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210 | (1) |
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12.1.2 The Modern Public Administration: A Network of Systems |
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211 | (1) |
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12.1.3 eEurope and the Economic and Social Growth |
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212 | (2) |
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12.2 eGovernment Development |
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214 | (6) |
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12.2.1 Survey by CNEL on the Dematerialization and Network Transmission of Documents |
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214 | (1) |
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12.2.2 Survey on ICT in Italian Companies |
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215 | (3) |
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12.2.3 ICT Cooperation Within Government Agencies |
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218 | (2) |
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12.3 Conclusion and Open Issues |
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220 | (2) |
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222 | (3) |
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13 Tunisian Ministry of Agriculture Planning of New Services and Information Systems Integration |
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225 | (16) |
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13.1 Organizational Structure of the Ministry of Agriculture |
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225 | (1) |
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13.2 The Activities Performed and Organization of Work |
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226 | (2) |
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13.3 Conceptual Schemas of the Databases |
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228 | (2) |
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13.4 The Abstractions on Schemas |
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230 | (3) |
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13.5 The Repository of Schemas |
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233 | (1) |
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13.6 Analysis of the Schema Repository to Achieve Effective Strategic Planning Decisions |
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234 | (4) |
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13.7 Summary and Conclusion of the Book |
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238 | (3) |
Part V Appendix |
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A Information Integration Technologies |
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241 | (10) |
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A.1 Drawbacks of Database Architectures in Organizations and the Value of Enterprise Integration |
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241 | (3) |
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A.2 Traditional Centralized and Distributed DBMS Architectures |
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244 | (1) |
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A.3 Data Integration Solutions |
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245 | (2) |
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A.3.1 Data Warehouse Architecture |
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246 | (1) |
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A.3.2 Virtual Data Integration Architecture |
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246 | (1) |
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A.4 Optimal Evolution of the Database Architecture |
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247 | (4) |
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B Business Process Management |
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251 | (8) |
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251 | (2) |
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252 | (1) |
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253 | (4) |
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257 | (2) |
References |
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259 | (12) |
Index |
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271 | |