Assar / Boughzala / Boydens Practical Studies in E-Government

Best Practices from Around the World
2011
ISBN: 978-1-4419-7533-1
Verlag: Springer US
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 251 Seiten, eBook

Information and communication technology (ICT) is permeating all aspects of service management; in the public sector, ICT is improving the capacity of government agencies to provide a wide array of innovative services that benefit citizens. E-Government is emerging as a multidisciplinary field of research based initially on empirical insights from practice. Efforts to theoretically anchor the field have opened perspectives from multiple research domains, as demonstrated in Practical Studies in E-Government. In this volume, the editors and contributors consider the evolution of the e-government field from both practical and research perspectives. Featuring in-depth case studies of initiatives in eight countries, the book deals with such technology-oriented issues as interoperability, prototyping, data quality, and advanced interfaces, and management-oriented issues as e-procurement, e-identification, election results verification, and information privacy. The book features best practices, tools for measuring and improving performance, and analytical methods for researchers.

Zielgruppe

Research

Autoren/Hrsg.

Assar, Saïd

Boughzala, Imed

Boydens, Isabelle

Inhaltsverzeichnis

1;Contents;6
2;Contributors;8
3;Back to Practice, a Decade of Research in E- Government;12
3.1;1.1 E-Government Definition and Evolution;12
3.2;1.2 E-Government as a Field of Research;15
3.3;1.3 Presentation of the Book;16
3.4;Note;22
3.5;References;22
4;E-Procurement, from Project to Practice: Empirical Evidence from the French Public Sector;24
4.1;2.1 Introduction;24
4.2;2.2 The Initial Survey in 2005;25
4.2.1;2.2.1 The Virtualisation of Public Procurement Ab Initio: Numerous Opportunities and Guaranteed Gains;26
4.2.2;2.2.2 E-Procurement In Situ: A Deceptive Situation;28
4.2.3;2.2.3 Virtualisation of Public Procurement Ex Post: A Change of Medium, an Opportunity for Improvement?;31
4.2.4;2.2.4 Public E-Procurement: Triggering a Dynamic of Improvement?;33
4.3;2.3 The 2007 and 2008 Surveys;33
4.4;2.4 Conclusion;35
4.5;Notes;36
4.6;References;37
5;Implementation of E-Government in Mexico: The Case of Infonavit;39
5.1;3.1 Introduction;39
5.2;3.2 Institutions and the Technology Enactment Framework;41
5.2.1;3.2.1 Institutional Theory;41
5.2.2;3.2.2 Technology Enactment Framework;42
5.3;3.3 Research Design and Methods;44
5.3.1;3.3.1 Brief Description of the Case Study;44
5.3.2;3.3.2 Study Variables;46
5.4;3.4 Analysis and Results;46
5.4.1;3.4.1 Technological Factors;46
5.4.2;3.4.2 Managerial Factors;48
5.4.3;3.4.3 Organizational Factors;49
5.4.4;3.4.4 Institutional Factors;52
5.4.5;3.4.5 Contextual Factors;53
5.5;3.5 Final Comments;54
5.6;References;55
6;The Casualty Assistance Readiness Enhancement System: A Case Study in Rapid Prototyping and Design for Flexibility;58
6.1;4.1 Introduction;58
6.2;4.2 Background;59
6.2.1;4.2.1 Literature Review;59
6.2.2;4.2.2 Issue;60
6.3;4.3 Methodology;62
6.3.1;4.3.1 Stakeholder Analysis;64
6.3.2;4.3.2 Redefining the Problem Statement;64
6.3.3;4.3.3 Rapid Prototyping to Overcome Inertia;67
6.3.4;4.3.4 Greater Alignment of Product and Process;70
6.4;4.4 Results;73
6.4.1;4.4.1 Dynamic Alpha Testing;73
6.4.2;4.4.2 Dynamic Beta Testing;74
6.5;4.5 Discussion;77
6.6;4.6 Conclusions;78
6.7;Notes;78
6.8;References;79
7;An Overview of Some Electronic Identification Use Cases in Europe;80
7.1;5.1 Electronic Administration and Identity;80
7.2;5.2 Electronic Administration in France and the Need for Identity;81
7.3;5.3 Identity Fraud in the Context of Electronic Administration;85
7.4;5.4 Electronic Identification in Europe: National Concepts and Their Impact on Daily Experience;86
7.4.1;5.4.1 Belgium;87
7.4.2;5.4.2 Estonia;87
7.4.3;5.4.3 Finland;88
7.4.4;5.4.4 Italy;90
7.4.5;5.4.5 Portugal;91
7.4.6;5.4.6 Spain;91
7.4.7;5.4.7 Sweden;92
7.5;5.5 The Projected French Electronic Identity Card ;94
7.5.1;5.5.1 The Broad Lines of the 2005 Project;94
7.5.2;5.5.2 The 2005 Public Debate;96
7.5.3;5.5.3 The 2009 Update;98
7.6;5.6 Interoperability Aspects;98
7.7;5.7 Conclusion;99
7.8;Glossary;99
7.9;Notes;100
7.10;References;101
8;Privacy and Personal Information Held by Government: A Comparative Study, Japan and New Zealand;102
8.1;6.1 Introduction;102
8.1.1;6.1.1 The Settings;103
8.1.2;6.1.2 Research Questions;104
8.2;6.2 Concepts of Information Privacy;104
8.2.1;6.2.1 Government and Citizens’ Personal Information;105
8.2.2;6.2.2 Concepts of Information Privacy in New Zealand and Japanese Culture;105
8.2.3;6.2.3 Privacy Legislation in Japan and New Zealand;108
8.3;6.3 The Two Parallel Studies ;109
8.3.1;6.3.1 The New Zealand Study;109
8.3.2;6.3.2 The Japanese Study;109
8.4;6.4 Findings ;110
8.4.1;6.4.1 Questionnaire Data;110
8.4.2;6.4.2 Concepts of Privacy and Privacy Protection;113
8.4.3;6.4.3 Discussion of Scenarios;114
8.5;6.5 Discussion;118
8.6;6.6 Conclusions;119
8.7;Notes;120
8.8;References;120
9;Strategic Issues Relating to Data Quality for E- Government: Learning from an Approach Adopted in Belgium;122
9.1;7.1 Introduction;122
9.1.1;7.1.1 The Quality of Data;123
9.1.2;7.1.2 Strategic Quality Issues for E-Government;123
9.2;7.2 Characteristics of Administrative Data;125
9.3;7.3 Quality Indicators;126
9.3.1;7.3.1 What Is a Data Element?;127
9.3.2;7.3.2 What Is a “Correct” Data Element?;127
9.3.3;7.3.3 How Are Data Progressively Constructed?;128
9.4;7.4 Methods for Improving the Quality of Administrative Databases;130
9.4.1;7.4.1 Master Data Management;131
9.4.2;7.4.2 Anomalies and Management Strategies;132
9.4.3;7.4.3 Documentation of Applications and Services;133
9.5;7.5 Conclusions, Future Work, and Generalization of the Approach;136
9.6;Notes;138
9.7;References;138
10;Long-Term Verifiability of Remote Electronic Elections;140
10.1;8.1 Introduction;140
10.2;8.2 Retention Objectives;141
10.3;8.3 Retention Obligations in German Electoral Law;143
10.3.1;8.3.1 Federal Elections;143
10.3.2;8.3.2 Works Council Elections;146
10.4;8.4 Conditions to Be Documented;147
10.4.1;8.4.1 Preparation Phase;147
10.4.2;8.4.2 Polling Phase;148
10.4.3;8.4.3 Evaluation Phase;149
10.5;8.5 Transferring the Conditions to Remote Electronic Voting;149
10.5.1;8.5.1 Preparation Phase;150
10.5.2;8.5.2 Polling Phase;151
10.5.3;8.5.3 Evaluation Phase;153
10.6;8.6 Conclusion;154
10.7;Notes;155
10.8;References;155
11;Law-Based Ontology for E-Government Services Construction – Case Study: The Specification of Services in Relationship with the Venture Creation in Switzerland;157
11.1;9.1 Introduction;157
11.2;9.2 Framework for the Construction of E-Government Services;158
11.2.1;9.2.1 Ontology Construction from Legal Sources;158
11.2.2;9.2.2 Public Administration Services Identification;164
11.3;9.3 Discussion About Difficulties Related to the Deployment of the Proposed Approach;170
11.3.1;9.3.1 What About the Inconsistencies in the Laws?;170
11.3.2;9.3.2 What Skills Are Required to Implement This Approach?;171
11.3.3;9.3.3 The Law Doesn’t Correspond to Business Practice;171
11.4;9.4 Conclusion;171
11.5;9.5 Appendix 1: The Conceptual Basis for Identifying Public Administration Services;172
11.6;References;173
11.7;Notes;173
12;Architectural Principles for Orchestration of Cross- Organizational Service Delivery: Case Studies from the Netherlands;175
12.1;10.1 Introduction;175
12.2;10.2 Theoretical Background of Orchestration;178
12.2.1;10.2.1 Technical Dimension of Orchestration;178
12.2.2;10.2.2 Organizational Dimension of Orchestration;179
12.3;10.3 Case Studies of Orchestration;180
12.3.1;10.3.1 Case Study 1: Preparation Module for Joint Permit Requests;181
12.3.2;10.3.2 Case Study 2: Information System for Import of Veterinary Products;182
12.3.3;10.3.3 Case Study 3: Information System Supporting the Asbestos Removal Process;184
12.4;10.4 Architectural Principles for Orchestration;186
12.4.1;10.4.1 Architectural Principle 1: Information and Service Aggregation;188
12.4.2;10.4.2 Architectural Principle 2: Process Coordination;188
12.4.3;10.4.3 Architectural Principle 3: Process Overview;189
12.4.4;10.4.4 Architectural Principle 4: Process Optimization;189
12.4.5;10.4.5 Architectural Principle 5: Differentiation of Workflow and Decision Making;190
12.4.6;10.4.6 Architectural Principle 6: Maintain Risk Profiles;190
12.5;10.5 Conclusion;191
12.6;References;192
13;Achieving Interoperability Through Base Registries for Governmental Services and Document Management;194
13.1;11.1 Introduction;194
13.2;11.2 Background and Scope;195
13.3;11.3 Defining an E-Government Ontology;196
13.3.1;11.3.1 Metadata Standards for Multifaceted Classification;197
13.4;11.4 Combining Processes and Data;198
13.5;11.5 The Interoperability Registry Platform;201
13.6;11.6 Population of the Repository;205
13.7;11.7 Conclusions;206
13.8;References;208
14;Envisioning Advanced User Interfaces for E- Government Applications: A Case Study;211
14.1;12.1 Introduction;212
14.2;12.2 State of the Art;213
14.2.1;12.2.1 The World Wide Web Platform;213
14.2.2;12.2.2 Nontraditional User Interfaces;214
14.2.3;12.2.3 Multichannel Delivery of Services;214
14.2.4;12.2.4 Foundation of User Interface Plasticity;215
14.3;12.3 Problem Space for Multitarget User Interfaces;216
14.3.1;12.3.1 Domain-Dependent User Interfaces;218
14.3.2;12.3.2 Context of Use;219
14.3.3;12.3.3 Adaptation Behavior;219
14.3.4;12.3.4 Adaptation Control User Interface;220
14.4;12.4 Case Study;221
14.4.1;12.4.1 Informal Description;221
14.4.2;12.4.2 Users’ Tasks Analysis;222
14.4.3;12.4.3 Users’ Requirements;223
14.4.4;12.4.4 Plasticity Analysis;224
14.5;12.5 Conclusion and Future Work;228
14.6;Notes;232
14.7;References;232
15;Practices to Develop Spatial Data Infrastructures: Exploring the Contribution to E- Government;235
15.1;13.1 Introduction;235
15.2;13.2 Spatial Data Infrastructures ;237
15.2.1;13.2.1 Introduction;237
15.2.2;13.2.2 SDI Components;238
15.2.3;13.2.3 SDI Costs and Benefits;240
15.3;13.3 SDI Practices;242
15.3.1;13.3.1 Europe;242
15.3.2;13.3.2 Catalonia;244
15.3.3;13.3.3 Flanders;245
15.3.4;13.3.4 Leiedal;247
15.3.5;13.3.5 Summary of the SDI Practices;248
15.3.6;13.3.6 Discussion;248
15.4;13.4 Spatial Data Infrastructures and E-Government;251
15.5;References;252
16;Index;255

Über Autor(innen)

Saïd Assar is an Associate Professor at the Information Systems Department at the National Institute of Telecommunications.