商业智能工具寻找专家的潜力

Pub Date : 2019-11-13 DOI:10.37380/jisib.v9i2.471
Mehdi Dadkhaha, Mohammad Lagziana, Fariborz Rahim-niaa, Khalil Kimiafar
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引用次数: 4

摘要

通过访谈找到合适的专家进行数据收集是特定研究工作的关键。然而,文献中的大多数专家寻找方法都需要大量的技术知识,这使得对于没有深厚技术知识的商业研究人员来说有些不切实际。因此,需要为没有深厚技术背景的研究人员提供一种专家级的解决方案。由于商业研究人员可能了解商业智能及其工具,因此可以使用商业智能工具来解决此类问题。本文讨论了使用商业智能工具寻找潜在专家的过程,例如主题。随后,在文献综述的基础上,提出了区分不同专家的标准。最后,讨论了层次分析法用于为选择标准和潜在专家分配权重。本文的受众是熟悉商业智能工具或希望学习如何使用这些工具的研究人员
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The potential of business intelligence tools for expert finding
Finding the right experts for data gathering through interview serves as a key for particular research works. However, most expert finding methods in the literature require great deals of technical knowledge, making them somewhat impracticable for business researchers without deep technical knowledge. Accordingly, there is a need for an expert finding solution for researchers without a deep technical background. As business researchers may have knowledge about business intelligence and its tools, the use of business intelligence tools can be used to solve such issue. The present paper discusses the process of using business intelligence tools to find potential experts for example topics. Subsequently, based on a literature review, criteria are presented for distinguishing different experts. Finally, the analytic hierarchy process is discussed for assigning weights to both selection criteria and potential experts. The audience of this paper is researchers who are familiar with business intelligence tools or would like to learn how to work with them
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