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Engineering researchers' data reuse behaviours: A structural equation modelling approach

机译：工程研究人员的数据重用行为：一种结构方程建模方法

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Purpose-The purpose of this research is to investigate the factors that influence engineering researchers' data reuse behaviours. Design/methodology/approach-The data reuse behaviour model of engineering researchers was investigated by using a survey method. A national survey was distributed to engineering researchers in the USA, and a total of 193 researchers responded. Findings-The results showed that perceived usefulness, perceived concerns and norms of data reuse have significant relationships with attitudes toward data reuse. Also, attitudes toward data reuse and the availability of data repositories were found to have significant influences on engineering researchers' intention to reuse data. Research limitations/implications-This research used a combined theoretical framework by integrating the theory of planned behaviour (TPB) and the technology acceptance model (TAM). The combination of the TPB and the TAM effectively explained engineering researchers' data reuse behaviours by addressing individualmotivations, norms and resource factors. Practical implications-This research has practical implications for promoting more reliable and beneficial data reuse in the engineering community, including encouraging positive motivations toward data reuse, building community norms of data reuse and setting up more data repositories. Originality value-As prior research on data reuse mainly used interviews, this research used a quantitative approach based on a combined theoretical framework and included diverse research constructs which were not tested in the previous research models. As one of the initial studies investigating data reuse behaviours in the engineering community, the current research provided a better understanding of data reuse behaviours and suggested possible ways to facilitate engineering researchers' data reuse behaviours.
机译：目的-这项研究的目的是调查影响工程研究人员数据重用行为的因素。设计/方法/方法-使用调查方法研究了工程研究人员的数据重用行为模型。一项全国性调查已分发给美国的工程研究人员，共有193名研究人员做出了回应。结果-结果表明，感知到的有用性，感知到的关注和数据重用规范与对数据重用的态度有着显着的关系。同样，人们对数据重用的态度和数据存储库的可用性也对工程研究人员重用数据的意图产生了重大影响。研究局限性/含意-本研究通过结合计划行为理论（TPB）和技术接受模型（TAM）使用了组合的理论框架。 TPB和TAM的结合通过解决个人动机，规范和资源因素，有效地解释了工程研究人员的数据重用行为。实际意义-该研究对在工程界促进更可靠和有益的数据重用具有实际意义，包括鼓励积极的动机促进数据重用，建立社区数据重用规范以及建立更多数据存储库。原创性价值-由于先前对数据重用的研究主要使用访谈，因此本研究采用了基于组合理论框架的定量方法，并包括了在先前研究模型中未进行过测试的各种研究构造。作为调查工程界中数据重用行为的初步研究之一，当前的研究提供了对数据重用行为的更好理解，并提出了促进工程研究人员数据重用行为的可行方法。

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