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Qualitative Data Analysis of Issue Interrelations and Interdependencies for E-Government Research Planning

机译:电子政务研究计划中问题相互关系和相互依赖性的定性数据分析

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Science and technology roadmapping is currently a popular method to develop long-term strategies for e-government. In the scope of the EC-co-funded research project eGovRTD2020, an innovative methodology has been developed, which combines scenarios and roadmapping to support long-term strategic policy-making for e-government research. This approach bases on systematically analyzing qualitative data throughout the whole roadmapping process based on individual issues and their interrelations. The paper explores the complex analysis of the network of relations and interdependencies between these issues. We introduce a concept for the systematic analysis of interlinks between single issues, which helps improving the quality of analysis and advances the consolidation of results to form well grounded strategic policy-making. A case example extracted from the project serves as proof of concept.
机译:科技路线图目前是制定电子政务长期战略的一种流行方法。在EC共同资助的研究项目eGovRTD2020的范围内,已经开发出一种创新的方法,该方法结合了各种方案和路线图,可为电子政务研究提供长期的战略决策。这种方法的基础是根据各个问题及其相互关系,系统地分析整个制图过程中的定性数据。本文探讨了这些问题之间的关系和相互依赖关系网络的复杂分析。我们引入了对单个问题之间的相互联系进行系统分析的概念,这有助于提高分析的质量并促进结果的合并,从而形成有充分依据的战略决策。从项目中提取的案例示例可作为概念证明。

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