202208161507 How to conduct a bibliometric analysis: An overview and guidelines
What this paper is about
Scholars use bibliometric analysis for a variety of reasons, such as to uncover emerging trends in article and journal performance, collaboration patterns, and research constituents, and to explore the intellectual structure of a specific domain in the extant literature.
First, the paper, which presents an overview of bibliometric analysis and the guidelines on how to conduct it, can help business scholars to learn about the bibliometric methodology and to use that understanding to evaluate specific fields in the extant literature with large bibliometric data and corpus.
As a whole, this paper enhances understanding of the bibliometric methodology for business research with clarity and rigor, and thus, paves the way for business scholars to use bibliometric analysis appropriately, meaningfully, and rigorously in their future research.
What you can learn
In sum, this paper demonstrated that bibliometric analysis is a scientific method that can be useful for both established and emerging scholars who wish to pursue a retrospective of broad and rich areas in business research.
The paper also established that the bibliometric methodology has gained immense popularity in recent times due to the omnipresence and usefulness of bibliometric software and databases that ease the acquisition and assessment of large volumes of scientific data in business research, including in relatively new but highly rich areas such as artificial intelligence and big data.
Third, bibliometric studies can only offer a short-term forecast of the research field, and thus, scholars should avoid making overambitious assertions about the research field and its impact in the long run.
本文内容
学者们出于各种原因使用文献计量分析,例如揭示文章和期刊性能,协作模式和研究成分的新兴趋势,以及探索现有文献中特定领域的智力结构。
首先,这篇论文概述了文献计量分析以及如何进行文献计量分析的指南,可以帮助商业学者了解文献计量学方法,并利用这种理解来评估现有文献中具有大量文献计量数据和语料库的特定领域。
总体而言,本文清晰而严谨地增强了对商业研究的文献计量学方法的理解,从而为商业学者在未来的研究中适当,有意义和严格地使用文献计量分析铺平了道路。
你能学到什么
总之,本文表明,文献计量分析是一种科学方法,对于希望对商业研究中广泛而丰富的领域进行回顾的成熟和新兴学者都是有用的。
该论文还确定,由于文献计量软件和数据库的无处不在和有用性,文献计量学方法在最近获得了巨大的普及,这些软件和数据库简化了商业研究中大量科学数据的获取和评估,包括在人工智能和大数据等相对较新但高度丰富的领域。
第三,文献计量学研究只能对研究领域进行短期预测,因此,学者应避免对研究领域及其长期影响做出过于雄心勃勃的断言。
