制定开放的基于数据的价值主张:两种画布工具的评估和比较

Antoine Clarinval, Anthony Simonofski, A. Castiaux, Yingying Gao, M. Janssen
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引用次数: 0

摘要

政府公开数据(OGD)的发布有望通过创新创造经济价值。在任何基于ogd的价值创造中,制定价值主张(VP)是必要的。然而,以前的文献很少关注支持基于OGD的VP的制定的工具,也没有人用OGD信息媒介评估这些工具的性能。在本文中,我们评估并比较了业务模型画布(BMC)和开放数据画布(ODC)在支持VP制定方面的性能。问卷反馈来自使用BMC和ODC制定基于ogd的VP的信息中介。结果表明,根据VP可行性评估的重点,BMC或ODC在感知有用性方面具有优势。ODC在评估技术可行性方面提供ogd特有的指导,而BMC则更广泛地涵盖经济可行性。我们建议对基于ogd的副总裁制定工具的新兴领域进行调查,方法是将我们的研究与其他类型的信息媒介、在其他环境中进行复制,并用定性的见解来完成研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Formulating Open Data-Based Value Propositions: An Evaluation and Comparison of Two Canvas Tools
The publication of Open Government Data (OGD) is expected to deliver economic value creation through innovation. In any OGD-based value creation, it is essential to formulate a value proposition (VP). However, previous literature has devoted little attention to the tools that support the formulation of OGD-based VP, and none has evaluated the performance of such tools with OGD infomediaries. In this article, we evaluate and compare the Business Model Canvas (BMC) and the Open Data Canvas (ODC) performance in supporting the formulation of VP. Questionnaire feedback was obtained from infomediaries who formulated OGD-based VP using the BMC and the ODC. The results show a superiority of either the BMC or the ODC in terms of perceived usefulness, depending on the focus of the feasibility evaluation of the VP. The ODC provides OGD-specific guidance on evaluating technical feasibility while the BMC covers economic feasibility more extensively. We recommend investigating the emerging field of OGD-based VP formulation tools by replicating our research with other types of infomediaries, in other settings, and completing it with qualitative insights.
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