Text mining and network analytics for literature reviews: Exploring the landscape of purchasing and supply management research

IF 6.8 2区 管理学 Q1 MANAGEMENT
Robert Suurmond , Finn Wynstra , André Vermeij , Erick Johan Haag
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引用次数: 0

Abstract

In this paper, we state and debate the use and usefulness of text similarity and network analytics using natural language processing for our field. While previous reviews of Purchasing and Supply Management have relied on manual coding and classification, the large scale and variety of the field calls for new approaches. In this Notes and Debates article, we therefore review different approaches from bibliometric and scientometric studies to explore literature using (semi)automated approaches. We exemplify one approach, leveraging text similarity and network visualization, to complement earlier analysis. Along the way, we discuss the researcher’s role at critical vantage points in reviews that are augmented by natural language processing. We compare and contrast the results of this exploration to previous manual reviews and sketch opportunities and provide recommendations for future use.

用于文献综述的文本挖掘和网络分析:探索采购与供应管理研究的前景
在本文中,我们阐述并讨论了使用自然语言处理的文本相似性和网络分析在我们领域中的用途和作用。虽然以往的采购与供应管理综述都依赖于人工编码和分类,但该领域的大规模和多样性要求我们采用新的方法。因此,在这篇 "说明与讨论 "文章中,我们回顾了文献计量学和科学计量学研究中使用(半)自动化方法探索文献的不同方法。我们举例说明了一种利用文本相似性和网络可视化来补充早期分析的方法。在此过程中,我们讨论了研究人员在通过自然语言处理增强的评论中的关键有利位置所扮演的角色。我们将这一探索的结果与之前的人工评论和草图机会进行比较和对比,并为未来的使用提供建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.30
自引率
18.00%
发文量
31
审稿时长
70 days
期刊介绍: The mission of the Journal of Purchasing & Supply Management is to publish original, high-quality research within the field of purchasing and supply management (PSM). Articles should have a significant impact on PSM theory and practice. The Journal ensures that high quality research is collected and disseminated widely to both academics and practitioners, and provides a forum for debate. It covers all subjects relating to the purchase and supply of goods and services in industry, commerce, local, national, and regional government, health and transportation.
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