The purpose of this paper is to demonstrate the utility of corpus linguistics and digitised newspaper archives in management and organisational history.,The paper draws its inferences from Google NGram Viewer and five digitised historical newspaper databases – The Times of India, The Financial Times, The Economist, The New York Times and The Wall Street Journal – that contain prints from the nineteenth century.,The paper argues that corpus linguistics or the quantitative and qualitative analysis of large-scale real-world machine-readable text can be an important method of historical research in management studies, especially for discourse analysis. It shows how this method can be fruitfully used for research in management and organisational history, using term count and cluster analysis. In particular, historical databases of digitised newspapers serve as important corpora to understand the evolution of specific words and concepts. Corpus linguistics using newspaper archives can potentially serve as a method for periodisation and triangulation in corporate, analytically structured and serial histories and also foster cross-country comparisons in the evolution of management concepts.,The paper also shows the limitation of the research method and potential robustness checks while using the method.,Findings of this paper can stimulate new ways of conducting research in management history.,The paper for the first time introduces corpus linguistics as a research method in management history.

中文翻译：

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语料库语言学、报纸档案和历史研究方法

本文的目的是展示语料库语言学和数字化报纸档案在管理和组织历史中的实用性。本文从 Google NGram Viewer 和五个数字化历史报纸数据库——印度时报、金融时报、The 《经济学人》、《纽约时报》和《华尔街日报》——包含 19 世纪的印刷品。,该论文认为，语料库语言学或大规模现实世界机器可读文本的定量和定性分析可以是一种重要的方法管理研究的历史研究，尤其是话语分析。它展示了如何使用术语计数和聚类分析将该方法有效地用于管理和组织历史研究。特别是，数字化报纸的历史数据库是理解特定词语和概念演变的重要语料库。使用报纸档案的语料库语言学可以潜在地作为公司、分析结构和连续历史中的分期和三角测量方法，并促进管理概念演变中的跨国比较。,本文还显示了研究方法的局限性和潜力在使用该方法时进行稳健性检验。,本文的发现可以激发进行管理史研究的新方法。,本文首次将语料库语言学作为管理史研究方法引入。