在数字公民参与的不确定性中设计战略制定:软系统方法论增强的设计科学研究在战略制定设计中的应用的批判性反思

IF 1.1 Q2 SOCIAL SCIENCES, INTERDISCIPLINARY Electronic Journal of Information Systems in Developing Countries Pub Date : 2022-10-17 DOI:10.1002/isd2.12247
Umeoniso Joshua Osah, Caroline Pade-Khene
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引用次数: 1

摘要

这份手稿详细介绍了设计科学研究(DSR)如何应用于名为MobiSAM的公民技术项目的战略制定过程的指导制定和实施,该项目是在边缘化的地方政府背景下执行的。它还展示了软系统方法论(SSM)如何增强DSR的应用,以确保在战略制定过程中考虑到多利益相关者审议中通常存在的非结构化属性(公民技术项目战略制定中需要)。为了支持对公民技术项目战略框架(人工制品)的出现和应用的批判性反思,采用了实用主义解释主义。这种支撑批判性反思的定性范式主要通过参与者的观察和对公民技术背景下行为者的采访,支持更好地理解与战略相关的挑战。研究结果表明,对于像公民技术项目战略制定这样的非结构化问题,SSM对四个DSR准则的应用尤其重要,即问题相关性、设计评估、研究贡献和DSR的沟通。
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Designing strategy formulation in the midst of uncertainty in digital citizen engagement: A critical reflection of the application of Design Science Research augmented by Soft Systems Methodology to the design of strategy formulation

This manuscript details a critical reflection on how Design Science Research (DSR) was applied to the guided development and implementation of a strategy formulation process for a civic tech project called MobiSAM, which was executed in a marginalized local government context. It also demonstrates how the application of DSR is augmented by Soft Systems Methodology (SSM), to ensure that the unstructured properties typically present in multi-stakeholder deliberation (required in civic tech project strategizing) are accounted for in the strategy formulation exercise. To underpin this critical reflection on the emergence and application of the civic tech project strategy framework (the artifact), pragmatist interpretivism is employed. This qualitative paradigm underpinning the critical reflection supports better understanding of strategy related challenges primarily through participant observation and interviews with actors in the civic tech context. The findings reveal that for an unstructured problem like civic tech project strategizing, SSM is particularly instrumental to the application of four DSR guidelines, namely—problem relevance, design evaluation, research contribution and communication of DSR.

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CiteScore
3.60
自引率
15.40%
发文量
51
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