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“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities

机译:“技术准备和接受模型”作为智能城市数据标准使用意图的预测指标

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Taking the region of Flanders in Belgium as a case study, this article reflects on how smart cities initiated a grassroots initiative on data interoperability. We observe that cities are struggling due to the fragmentation of data and services across different governmental levels. This may cause frustrations in the everyday life of citizens as they expect a coherent user experience. Our research question considers the relationship between individual characteristics of decision makers and their intention to use data standards. We identified criteria for implementing data standards in the public sector by analysing the factors that affect the adoption of data governance, based on the Technology Readiness and Acceptance Model (TRAM), by conducting an online survey (n = 205). Results indicate that respondents who score high on innovativeness have a higher intention to use data standards. However, we conclude that personality characteristics as described in the TRAM-model are not significant predictors of the perceived usefulness and perceived ease of use of data standards. Therefore, we suggest exploring the effects of network governance and organisational impediments to speed-up the adoption of open standards and raise interoperability in complex ecosystems.
机译:本文以比利时的法兰德斯地区为例,对智慧城市如何发起数据互操作性基层计划进行了反思。我们观察到,由于不同政府级别的数据和服务分散,城市正在挣扎。由于他们期望一致的用户体验,这可能会导致公民的日常生活受挫。我们的研究问题考虑了决策者的个人特征与其使用数据标准的意图之间的关系。我们通过在线调查(n = 205),基于技术准备和接受模型(TRAM),通过分析影响数据治理采用的因素,确定了公共部门实施数据标准的标准。结果表明,创新性得分较高的受访者更倾向于使用数据标准。但是,我们得出的结论是,在TRAM模型中描述的个性特征并不是数据标准的有用性和易用性的重要预测指标。因此,我们建议探索网络治理和组织障碍的影响,以加快采用开放标准并提高复杂生态系统中的互操作性。

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