Analysis of Crisis Leadership Research Trends Using Text Mining: Focusing on Business Administration

Cheol Su Kim, Jungphil Shin
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Abstract

This study was to analyze research trends in the field of business administration by applying text mining techniques. In particular, the 2008 global financial crisis caused many management difficulties for companies. It was intended to consider how these events were reflected in research trends. This study performed 'frequency analysis', 'TF-IDF analysis', and 'topic analysis' among the text mining techniques. First, before and after the global crisis, “management” and “leadership” were ranked top tier. Also 'leadership' and 'management' belonged to the top tier in the total period. Second, the most noticeable word was 'safety' before 2008. And 'integration' is the top priority after 2008. Thus, it was found that the business administration field dealt with 'integration' and 'decision making' meaningfully after 2008. Third, we found a paper that corresponds to the gamma value by topics. Key words explain these papers well. In this way, the meaning of extracted words was analyzed by applying text mining techniques, and research trends in the field of business administration were examined through this. In addition, words that appear important and words with special meanings were analyzed by comparing around 2008.
基于文本挖掘的危机领导力研究趋势分析:以工商管理为例
本研究旨在运用文本挖掘技术分析工商管理领域的研究趋势。特别是2008年的全球金融危机给企业带来了很多经营困难。它的目的是考虑这些事件如何反映在研究趋势中。本研究在文本挖掘技术中进行了“频率分析”、“TF-IDF分析”和“主题分析”。首先,在全球金融危机前后,“管理”和“领导力”都名列前茅。此外,“领导”和“管理”在整个时期都属于最高层次。其次,2008年之前最引人注目的词是“安全”。“一体化”是2008年后的首要任务。因此,我们发现工商管理领域在2008年后对“整合”和“决策”的处理有意义。第三,我们找到了一篇符合主题伽玛值的论文。关键词:解释好这些论文。利用文本挖掘技术对抽取的词进行语义分析,并以此考察工商管理领域的研究趋势。此外,还对2008年前后出现的重要词汇和具有特殊意义的词汇进行了对比分析。
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