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What Methodological Attributes Are Essential for Novice Users to Analytics? - An Empirical Study

机译:新手用户必须具备哪些方法属性才能进行分析? -实证研究

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Data analytic methodologies proposed to improve the productivity of a data analytic process have failed due to user resistance for changing their existing working practices. Thus, an attempt was made in this paper to determine methodological attributes influencing user acceptance, using literature on software engineering methodology adoption, Theory of Diffusion of Innovation and Technology Acceptance Model. Through a survey carried out among novice users we found that the relative advantage and result demonstrability of the analytical model development process as well as the usefulness of knowledge management are significant attributes affecting usage intention of an analytics methodology. The theoretical and practical implications for effective implementation of data analytic methodologies too are mentioned.
机译:提议提高数据分析过程生产率的数据分析方法由于用户对改变其现有工作习惯的抵制而失败。因此,本文尝试使用有关软件工程方法采用,创新扩散理论和技术接受模型的文献来确定影响用户接受的方法学属性。通过对新手用户进行的调查,我们发现分析模型开发过程的相对优势和结果可证明性以及知识管理的实用性是影响分析方法使用意图的重要属性。还提到了有效实施数据分析方法的理论和实践意义。

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