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Does data analytics use improve firm decision making quality? The role of knowledge sharing and data analytics competency

机译:数据分析是否使用改善了坚实的决策质量?知识共享和数据分析能力的作用

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摘要

Despite the huge investment in data analytics tools, the necessary conditions required to obtain benefit from such investment deserves close investigation. In this study we utilize the knowledge-based view and data analytics competency literature to address two important research questions: (1) Does knowledge sharing have a mediating role on the impact of data analytics usage on the quality of firm decisions?; and (2) What is the role of data analytics competency in enhancing the quality of firm decisions through increasing knowledge sharing? Survey data collected from top and middle-level managers from 133 U.S.-based firms indicates that: the impact of data analytics use on the quality of firm decisions is fully mediated by knowledge sharing; the impact of knowledge sharing on firm decision quality is not significant and it is moderated by data analytics competency; and data analytics competency does not moderate the impact of data analytics use on knowledge sharing. Collectively, the findings provide a theory-based understanding of how data analytics use improves firm decision quality. The results also provide actionable guidelines for firms regarding the critical resources they need to invest in order to obtain benefits from using data analytics tools.
机译:尽管对数据分析工具进行了巨大的投资,但从此类投资中获益所需的必要条件值得关注调查。在这项研究中,我们利用了知识的视图和数据分析能力文献来解决两个重要的研究问题:(1)知识共享是否对数据分析使用对公司决策质量的影响进行了调解作用? (2)数据分析能力在提高知识共享方面提高公司决策质量的作用是什么?从基于133 U.S.的公司收集的调查数据来自133 U.S.的公司表示:数据分析使用对公司决策质量的影响是完全由知识共享的介绍;知识共享对坚实的决策质量的影响并不重要,数据分析能力受到了众所周知;数据分析竞争力并不适度对知识共享的数据分析使用的影响。总的来说,该研究结果提供了一种基于理论的理解,了解数据分析如何提高了公司决策质量。结果还提供了关于他们需要投资的关键资源的公司可行的准则,以便从使用数据分析工具获得福利。

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